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Abideen ZU, Arifeen WU, Bandara YMNDY. Emerging trends in metal oxide-based electronic noses for healthcare applications: a review. Nanoscale 2024. [PMID: 38680123 DOI: 10.1039/d4nr00073k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
An electronic nose (E-nose) is a technology fundamentally inspired by the human nose, designed to detect, recognize, and differentiate specific odors or volatile components in complex and chaotic environments. Comprising an array of sensors with meticulously designed nanostructured architectures, E-noses translate the chemical information captured by these sensors into useful metrics using complex pattern recognition algorithms. E-noses can significantly enhance the quality of life by offering preventive point-of-care devices for medical diagnostics through breath analysis, and by monitoring and tracking hazardous and toxic gases in the environment. They are increasingly being used in defense and surveillance, medical diagnostics, agriculture, environmental monitoring, and product validation and authentication. The major challenge in developing a reliable E-nose involves miniaturization and low power consumption. Various sensing materials are employed to address these issues. This review presents the key advancements over the last decade in E-nose technology, specifically focusing on chemiresistive metal oxide sensing materials. It discusses their sensing mechanisms, integration into portable E-noses, and various data analysis techniques. Additionally, we review the primary metal oxide-based E-noses for disease detection through breath analysis. Finally, we address the major challenges and issues in developing and implementing a portable metal oxide-based E-nose.
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Affiliation(s)
- Zain Ul Abideen
- Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, Australian National University, Canberra, ACT, 2601, Australia.
| | - Waqas Ul Arifeen
- School of Mechanical Engineering, Yeungnam University, Daehak-ro, Gyeongsan-si, Gyeongbuk-do, 38541, South Korea
| | - Y M Nuwan D Y Bandara
- Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, Australian National University, Canberra, ACT, 2601, Australia.
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2
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Eichinger J, Reiche AM, Dohme-Meier F, Fuchsmann P. Optimization of volatile organic compounds sampling from dairy cow exhaled breath using polymer-based solid-phase extraction cartridges for gas chromatographic analysis. J Breath Res 2024; 18:036001. [PMID: 38547532 DOI: 10.1088/1752-7163/ad38d5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/28/2024] [Indexed: 04/17/2024]
Abstract
We explored appropriate technical setups for the detection of volatile organic compounds (VOCs) from exhaled cow breath by comparing six different polymer-based solid-phase extraction (SPE) cartridges currently on the market for gas chromatography/mass spectrometry (GC-MS) screening. Exhaled breath was sampled at a single timepoint from five lactating dairy cows using six different SPE cartridges (Bond Elut ENV (ENV); Chromabond HRX (HRX); Chromabond HRP (HRP); Chromabond HLB (HLB); Chromabond HR-XCW (XCW) and Chromabond HR-XAW (XAW)). The trapped VOCs were analyzed by dynamic headspace vacuum in-tube extraction GC-MS (DHS-V-ITEX-GC-MS). Depending on the SPE cartridge, we detected 1174-1312 VOCs per cartridge. Most VOCs were alkenes, alkanes, esters, ketones, alcohols, aldehydes, amines, nitriles, ethers, amides, carboxylic acids, alkynes, azoles, terpenes, pyridines, or sulfur-containing compounds. The six SPE cartridges differed in their specificity for the chemical compounds, with the XAW cartridge showing the best specificity for ketones. The greatest differences between the tested SPE cartridges appeared in the detection of specific VOCs. In total, 176 different VOCs were detected with a match factor >80%. The greatest number of specific VOCs was captured by XAW (149), followed by ENV (118), HLB (117), HRP (115), HRX (114), and XCW (114). We conclude that the tested SPE cartridges are suitable for VOC sampling from exhaled cow breath, but the SPE cartridge choice enormously affects the detected chemical groups and the number of detected VOCs. Therefore, an appropriate SPE adsorbent cartridge should be selected according to our proposed inclusion criteria. For targeted metabolomics approaches, the SPE cartridge choice depends on the VOCs or chemical compound groups of interest based on our provided VOC list. For untargeted approaches without information on the animals' metabolic condition, we suggest using multi-sorbent SPE cartridges or multiple cartridges per animal.
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Affiliation(s)
- Julia Eichinger
- Ruminant Nutrition and Emissions, Agroscope, Posieux, Switzerland
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | | | | | - Pascal Fuchsmann
- Human Nutrition, Sensory Analysis and Flavour, Agroscope, Bern, Switzerland
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Snelleman M, Wessel M, Schoon A. Investigating individual learning behaviour of dogs during a yes/no detection task. Behav Processes 2024; 217:105030. [PMID: 38636131 DOI: 10.1016/j.beproc.2024.105030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
Detection dogs are frequently tested for their ability to detect a variety of targets. It is crucial to comprehend the processes for odour learning and the consequences of training on an expanding set of target scents on performance. To properly evaluate their ability to identify the target, the only true measure is the dogs' initial response to novel sources, since this excludes learning effects. In this study, we evaluated the individual learning processes of three detection dogs that were pre-trained to differentially respond to a faecal sample of a mare in oestrus (S+) and a faecal sample of the same mare in di-oestrus (S-). After reaching criterion during a test with known training samples, the dogs were tested for generalization to a novel source. Average responses to S+ and S- were calculated as a function of presentation sequence, and Signal Detection Theory was used to further analyse characteristic differences in learning. The results of this study suggest that the ability of individual scent detection dogs to learn within an olfactory discrimination test varies considerably. The information obtained in this study could be helpful for mitigation training. We show that through careful monitoring of individual learning processes, the strategy each dog followed becomes apparent: especially the observations on the dogs' responses to first encounters with novel sample sources. This provides us with more detailed information than the more traditional sensitivity and specificity measures and allows us to better predict the dog's capabilities.
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Affiliation(s)
| | - Myrthe Wessel
- Specialistische Voortplantingspraktijk, Amsterdam, the Netherlands
| | - Adee Schoon
- Animal Detection Consultancy, the Netherlands
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Barbosa JMG, Cunha ALRR, David LC, Camelo ÍN, Martins NM, Galvão FS, Mendonça DR, Venâncio MT, Cunha RDS, Filho ARC, Veloso IM, Fernandes JJR, Jorge da Cunha PH, Antoniosi Filho NR. A veterinary cerumenomic assay for bovine laminitis identification. Vet Res Commun 2024; 48:1003-1013. [PMID: 38051450 DOI: 10.1007/s11259-023-10271-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/25/2023] [Indexed: 12/07/2023]
Abstract
Bovine laminitis disorder results in animal welfare and economic concerns in dairy and beef farms worldwide. However, the affected metabolic pathways, pathophysiologic characteristics, and inflammatory mechanisms remain unclear, hampering the development of new diagnostics. Using cerumen (earwax) as a source of volatile metabolites (cerumenomic) that carry valuable biological information has interesting implications for veterinary medicine. Nonetheless, up to now, no applications of veterinary cerumenomic assays have been made to identify bovine laminitis. This work aims to develop a veterinary cerumenomic assay for bovine laminitis identification that is non-invasive, robust, accurate, and sensitive to detecting the metabolic disturbances in bovine volatile metabolome. Twenty earwax samples (10 from healthy/control calves and 10 from laminitis calves) were collected from Nellore cattle, followed by Headspace/Gas Chromatography-Mass Spectrometry (HS/GC-MS) analysis and biomarker selection in two multivariate approaches: semiquantitative (intensity data) and semiqualitative (binary data). Following the analysis, cerumen volatile metabolites were indicated as candidate biomarkers for identifying bovine laminitis by monitoring their intensity or occurrence. In the semiquantitative strategy, the p-cresol presented the highest diagnostic figures of merit (area under the curve: 0.845, sensitivity: 0.700, and specificity: 0.900). Regarding the binary approach, a panel combining eight variables/volatiles, with formamide being the most prominent one, showed an area under the curve, sensitivity, and specificity of 0.97, 0.81, and 0.90, respectively. In summary, this work describes the first veterinary cerumenomic assay for bovine laminitis that indicates new metabolites altered during the inflammatory condition, paving the way for developing laminitis early diagnosis by monitoring the cerumen metabolites.
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Affiliation(s)
- João Marcos G Barbosa
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil.
| | - Ana Luiza Reis R Cunha
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil
| | - Lurian C David
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil
| | - Ícaro N Camelo
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil
| | - Nauyla M Martins
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil
| | - Felipe S Galvão
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Débora R Mendonça
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Marianna T Venâncio
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Roberta Dias S Cunha
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Alessandro R Costa Filho
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Izadora M Veloso
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Juliano José R Fernandes
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Paulo Henrique Jorge da Cunha
- Escola de Veterinária E Zootecnia (EVZ), Universidade Federal de Goiás (UFG), Rodovia Goiânia - Nova Veneza, Km 8, Campus II - Samambaia, Goiânia, GO, CEP, 74001-970, Brazil
| | - Nelson R Antoniosi Filho
- Laboratório de Métodos de Extração E Separação (LAMES), Instituto de Química (IQ), Universidade Federal de Goiás (UFG), Campus II - Samambaia, Goiânia, GO, 74690-900, Brazil.
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Kou Y, Zhang XG, Li H, Zhang KL, Xu QC, Zheng QN, Tian JH, Zhang YJ, Li JF. SERS-Based Hydrogen Bonding Induction Strategy for Gaseous Acetic Acid Capture and Detection. Anal Chem 2024; 96:4275-4281. [PMID: 38409670 DOI: 10.1021/acs.analchem.3c05905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Surface-enhanced Raman scattering (SERS) can overcome the existing technological limitations, such as complex processes and harsh conditions in gaseous small-molecule detection, and advance the development of real-time gas sensing at room temperature. In this study, a SERS-based hydrogen bonding induction strategy for capturing and sensing gaseous acetic acid is proposed for the detection demands of gaseous acetic acid. This addresses the challenges of low adsorption of gaseous small molecules on SERS substrates and small Raman scattering cross sections and enables the first SERS-based detection of gaseous acetic acid by a portable Raman spectrometer. To provide abundant hydrogen bond donors and acceptors, 4-mercaptobenzoic acid (4-MBA) was used as a ligand molecule modified on the SERS substrate. Furthermore, a sensing chip with a low relative standard deviation (RSD) of 4.15% was constructed, ensuring highly sensitive and reliable detection. The hydrogen bond-induced acetic acid trapping was confirmed by experimental spectroscopy and density functional theory (DFT). In addition, to achieve superior accuracy compared to conventional methods, an innovative analytical method based on direct response hydrogen bond formation (IO-H/Iref) was proposed, enabling the detection of gaseous acetic acid at concentrations as low as 60 ppb. The strategy demonstrated a superior anti-interference capability in simulated breath and wine detection systems. Moreover, the high reusability of the chip highlights the significant potential for real-time sensing of gaseous acetic acid.
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Affiliation(s)
- Yichuan Kou
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xia-Guang Zhang
- Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, College of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang 453007, China
| | - Hongmei Li
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Kai-Le Zhang
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Qing-Chi Xu
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Qing-Na Zheng
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Jing-Hua Tian
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
| | - Yue-Jiao Zhang
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Jian-Feng Li
- College of Physical Science and Technology, College of Energy, State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
- College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
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Hintzen KFH, Blanchet L, Smolinska A, Boumans ML, Stobberingh EE, Dallinga JW, Lubbers T, van Schooten FJ, Boots AW. Volatile organic compounds in headspace characterize isolated bacterial strains independent of growth medium or antibiotic sensitivity. PLoS One 2024; 19:e0297086. [PMID: 38277384 PMCID: PMC10817157 DOI: 10.1371/journal.pone.0297086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 12/23/2023] [Indexed: 01/28/2024] Open
Abstract
INTRODUCTION Early and reliable determination of bacterial strain specificity and antibiotic resistance is critical to improve sepsis treatment. Previous research demonstrated the potential of headspace analysis of volatile organic compounds (VOCs) to differentiate between various microorganisms associated with pulmonary infections in vitro. This study evaluates whether VOC analysis can also discriminate antibiotic sensitive from resistant bacterial strains when cultured on varying growth media. METHODS Both antibiotic-sensitive and -resistant strains of Pseudomonas aeruginosa, Staphylococcus aureus and Klebsiella pneumonia were cultured on 4 different growth media, i.e. Brain Heart Infusion, Marine Broth, Müller-Hinton and Trypticase Soy Agar. After overnight incubation at 37°C, the headspace air of the cultures was collected on stainless steel desorption tubes and analyzed by gas chromatography time-of-flight mass spectrometry (GC-tof-MS). Statistical analysis was performed using regularized multivariate analysis of variance and cross validation. RESULTS The three bacterial species could be correctly recognized based on the differential presence of 14 VOCs (p<0.001). This discrimination was not influenced by the different growth media. Interestingly, a clear discrimination could be made between the antibiotic-resistant and -sensitive variant of Pseudomonas aeruginosa (p<0.001) based on their species-specific VOC signature. CONCLUSION This study demonstrates that isolated microorganisms, including antibiotic-sensitive and -resistant strains of Pseudomonas aeruginosa, could be identified based on their excreted VOCs independent of the applied growth media. These findings suggest that the discriminating volatiles are associated with the microorganisms themselves rather than with their growth medium. This study exemplifies the potential of VOC analysis as diagnostic tool in medical microbiology. However, validation of our results in appropriate in vivo models is critical to improve translation of breath analysis to clinical applications.
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Affiliation(s)
- Kim F. H. Hintzen
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Lionel Blanchet
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Agnieszka Smolinska
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Marie-Louise Boumans
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
- Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Ellen E. Stobberingh
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
- Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jan W. Dallinga
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Tim Lubbers
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Frederik-Jan van Schooten
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Agnes W. Boots
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
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Torto B, Tchouassi DP. Chemical Ecology and Management of Dengue Vectors. Annu Rev Entomol 2024; 69:159-182. [PMID: 37625116 DOI: 10.1146/annurev-ento-020123-015755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2023]
Abstract
Dengue, caused by the dengue virus, is the most widespread arboviral infectious disease of public health significance globally. This review explores the communicative function of olfactory cues that mediate host-seeking, egg-laying, plant-feeding, and mating behaviors in Aedes aegypti and Aedes albopictus, two mosquito vectors that drive dengue virus transmission. Aedes aegypti has adapted to live in close association with humans, preferentially feeding on them and laying eggs in human-fabricated water containers and natural habitats. In contrast, Ae. albopictus is considered opportunistic in its feeding habits and tends to inhabit more vegetative areas. Additionally, the ability of both mosquito species to locate suitable host plants for sugars and find mates for reproduction contributes to their survival. Advances in chemical ecology, functional genomics, and behavioral analyses have improved our understanding of the underlying neural mechanisms and reveal novel and specific olfactory semiochemicals that these species use to locate and discriminate among resources in their environment. Physiological status; learning; and host- and habitat-associated factors, including microbial infection and abundance, shape olfactory responses of these vectors. Some of these semiochemicals can be integrated into the toolbox for dengue surveillance and control.
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Affiliation(s)
- Baldwyn Torto
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya; ,
| | - David P Tchouassi
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya; ,
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Barbosa JMG, Shokry E, Caetano David L, Pereira NZ, da Silva AR, de Oliveira VF, Fioravanti MCS, da Cunha PHJ, de Oliveira AE, Antoniosi Filho NR. Cancer evaluation in dogs using cerumen as a source for volatile biomarker prospection. Mol Omics 2024; 20:27-36. [PMID: 37751172 DOI: 10.1039/d3mo00147d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Cancer is one of the deadliest diseases in humans and dogs. Nevertheless, most tumor types spread faster in canines, and early cancer detection methods are necessary to enhance animal survival. Here, cerumen (earwax) was tested as a source of potential biomarkers for cancer evaluation in dogs. Earwax samples from dogs were collected from tumor-bearing and clinically healthy dogs, followed by Headspace/Gas Chromatography-Mass Spectrometry (HS/GC-MS) analyses and multivariate statistical workflow. An evolutionary-based multivariate algorithm selected 18 out of 128 volatile metabolites as a potential cancer biomarker panel in dogs. The candidate biomarkers showed a full discrimination pattern between tumor-bearing dogs and cancer-free canines with high accuracy in the test dataset: an accuracy of 95.0% (75.1-99.9), and sensitivity and specificity of 100.0% and 92.9%, respectively. In summary, this work raises a new perspective on cancer diagnosis in dogs, being carried out painlessly and non-invasive, facilitating sample collection and periodic application in a veterinary routine.
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Affiliation(s)
- João Marcos G Barbosa
- Laboratório de Métodos de Extração e Separação, Instituto de Química, Universidade Federal de Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
| | - Engy Shokry
- Laboratório de Métodos de Extração e Separação, Instituto de Química, Universidade Federal de Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
| | - Lurian Caetano David
- Laboratório de Métodos de Extração e Separação, Instituto de Química, Universidade Federal de Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
| | - Naiara Z Pereira
- Laboratório de Métodos de Extração e Separação, Instituto de Química, Universidade Federal de Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
| | - Adriana R da Silva
- Hospital Veterinário - Escola de Veterinária e Zootecnia da UFG, Rodovia Goiânia - Nova Veneza, km 8 Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Vilma F de Oliveira
- Hospital Veterinário - Escola de Veterinária e Zootecnia da UFG, Rodovia Goiânia - Nova Veneza, km 8 Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Maria Clorinda S Fioravanti
- Hospital Veterinário - Escola de Veterinária e Zootecnia da UFG, Rodovia Goiânia - Nova Veneza, km 8 Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Paulo H Jorge da Cunha
- Hospital Veterinário - Escola de Veterinária e Zootecnia da UFG, Rodovia Goiânia - Nova Veneza, km 8 Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Anselmo E de Oliveira
- Laboratório de Química Teórica e Computacional, Instituto de Química, Universidade Federal de Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Nelson Roberto Antoniosi Filho
- Laboratório de Métodos de Extração e Separação, Instituto de Química, Universidade Federal de Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
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9
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Bajo-Fernández M, Souza-Silva ÉA, Barbas C, Rey-Stolle MF, García A. GC-MS-based metabolomics of volatile organic compounds in exhaled breath: applications in health and disease. A review. Front Mol Biosci 2024; 10:1295955. [PMID: 38298553 PMCID: PMC10828970 DOI: 10.3389/fmolb.2023.1295955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 12/05/2023] [Indexed: 02/02/2024] Open
Abstract
Exhaled breath analysis, with particular emphasis on volatile organic compounds, represents a growing area of clinical research due to its obvious advantages over other diagnostic tests. Numerous pathologies have been extensively investigated for the identification of specific biomarkers in exhalates through metabolomics. However, the transference of breath tests to clinics remains limited, mainly due to deficiency in methodological standardization. Critical steps include the selection of breath sample types, collection devices, and enrichment techniques. GC-MS is the reference analytical technique for the analysis of volatile organic compounds in exhalates, especially during the biomarker discovery phase in metabolomics. This review comprehensively examines and compares metabolomic studies focusing on cancer, lung diseases, and infectious diseases. In addition to delving into the experimental designs reported, it also provides a critical discussion of the methodological aspects, ranging from the experimental design and sample collection to the identification of potential pathology-specific biomarkers.
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Affiliation(s)
- María Bajo-Fernández
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
| | - Érica A. Souza-Silva
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
- Departmento de Química, Universidade Federal de São Paulo (UNIFESP), Diadema, Brazil
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
| | - Ma Fernanda Rey-Stolle
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
| | - Antonia García
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
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10
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Jung AE, Davidson CN, Land CJ, Dash AI, Guess BT, Edmonds HS, Pitsch RL, Harshman SW. Impact of thermal desorption tubes on the variability of exhaled breath data. J Breath Res 2023; 18:016008. [PMID: 38096565 DOI: 10.1088/1752-7163/ad15a3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023]
Abstract
Due to the overall low abundance of volatile compounds in exhaled breath, it is necessary to preconcentrate the sample prior to traditional thermal desorption (TD) gas chromatography mass spectrometry analysis. While certain aspects of TD tubes, such as volatile storage, have been evaluated, many aspects remain uncharacterized. Two common TD tubes, Tenax TA and Biomonitoring 5TD tubes, were evaluated for background content and flow rate variability. The data illustrate that the Biomonitoring 5TD tubes have the highest number (23) and abundance of background contamination greater than 3x the mean noise when compared to Tenax TA (13) and empty tubes (9). Tentative identifications of the compounds in the background contamination experiment show that greater than 59% (16/27) of the compounds identified have been reported in the breath literature. The data illustrate the TD tube background abundance could account for more than 70% of the chromatographic signal from exhaled breath for these select compounds. Flow rate measurements of 200 Tenax TA and 200 Biomonitoring 5TD tubes show a large range in measured flow rates among the TD tubes (Tenax: 252.9-284.0 ml min-1, 5TD: 220.6-255.1 ml min-1). Finally, TD tubes of each type, Tenax TA and Biomonitoring 5TD, previously established to have high, medium, and low flow rates, show insignificant differences (p> 0.05) among the tubes of different flow rates, using both gas standards and an exhaled breath from a peppermint experiment. Collectively, these results establish overall background compounds attributed to each TD tube type tested. Additionally, while measured flow rate variability is present and plausibly impacts exhaled breath results, the data demonstrate no statistically significant difference was observed between tubes showing high, medium, and low flow rates from two separate sample types.
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Affiliation(s)
- Anne E Jung
- UES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Christina N Davidson
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Christopher J Land
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Aubrianne I Dash
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Barlow T Guess
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Heidi S Edmonds
- United States Air Force Academy, 2304 Cadet Drive, United States Air Force Academy, CO 80840, United States of America
| | - Rhonda L Pitsch
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
| | - Sean W Harshman
- Air Force Research Laboratory, 711th Human Performance Wing/RHBBA, 2510 Fifth Street, Area B, Building 840, Wright- Patterson AFB, OH 45433, United States of America
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11
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Fakhri E, Sultan MT, Manolescu A, Ingvarsson S, Svavarsson HG. Application of p and n-Type Silicon Nanowires as Human Respiratory Sensing Device. Sensors (Basel) 2023; 23:9901. [PMID: 38139745 PMCID: PMC10748167 DOI: 10.3390/s23249901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/05/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023]
Abstract
Accurate and fast breath monitoring is of great importance for various healthcare applications, for example, medical diagnoses, studying sleep apnea, and early detection of physiological disorders. Devices meant for such applications tend to be uncomfortable for the subject (patient) and pricey. Therefore, there is a need for a cost-effective, lightweight, small-dimensional, and non-invasive device whose presence does not interfere with the observed signals. This paper reports on the fabrication of a highly sensitive human respiratory sensor based on silicon nanowires (SiNWs) fabricated by a top-down method of metal-assisted chemical-etching (MACE). Besides other important factors, reducing the final cost of the sensor is of paramount importance. One of the factors that increases the final price of the sensors is using gold (Au) electrodes. Herein, we investigate the sensor's response using aluminum (Al) electrodes as a cost-effective alternative, considering the fact that the electrode's work function is crucial in electronic device design, impacting device electronic properties and electron transport efficiency at the electrode-semiconductor interface. Therefore a comparison is made between SiNWs breath sensors made from both p-type and n-type silicon to investigate the effect of the dopant and electrode type on the SiNWs respiratory sensing functionality. A distinct directional variation was observed in the sample's response with Au and Al electrodes. Finally, performing a qualitative study revealed that the electrical resistance across the SiNWs renders greater sensitivity to breath than to dry air pressure. No definitive research demonstrating the mechanism behind these effects exists, thus prompting our study to investigate the underlying process.
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Affiliation(s)
- Elham Fakhri
- Department of Engineering, Reykjavik University, Menntavegur 1, 107 Reykjavik, Iceland; (M.T.S.); (A.M.)
| | - Muhammad Taha Sultan
- Department of Engineering, Reykjavik University, Menntavegur 1, 107 Reykjavik, Iceland; (M.T.S.); (A.M.)
| | - Andrei Manolescu
- Department of Engineering, Reykjavik University, Menntavegur 1, 107 Reykjavik, Iceland; (M.T.S.); (A.M.)
| | - Snorri Ingvarsson
- Science Institute, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland;
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12
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Sola-Martínez RA, Zeng J, Awchi M, Gisler A, Arnold K, Singh KD, Frey U, Díaz MC, de Diego Puente T, Sinues P. Preservation of exhaled breath samples for analysis by off-line SESI-HRMS: proof-of-concept study. J Breath Res 2023; 18:011002. [PMID: 38029449 DOI: 10.1088/1752-7163/ad10e1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/29/2023] [Indexed: 12/01/2023]
Abstract
Secondary electrospray ionization-high resolution mass spectrometry (SESI-HRMS) is an established technique in the field of breath analysis characterized by its short analysis time, as well as high levels of sensitivity and selectivity. Traditionally, SESI-HRMS has been used for real-time breath analysis, which requires subjects to be at the location of the analytical platform. Therefore, it limits the possibilities for an introduction of this methodology in day-to-day clinical practice. However, recent methodological developments have shown feasibility on the remote sampling of exhaled breath in Nalophan® bags prior to measurement using SESI-HRMS. To further explore the range of applications of this method, we conducted a proof-of-concept study to assess the impact of the storage time of exhaled breath in Nalophan® bags at different temperatures (room temperature and dry ice) on the relative intensities of the compounds. In addition, we performed a detailed study of the storage effect of 27 aldehydes related to oxidative stress. After 2 h of storage, the mean of intensity of allm/zsignals relative to the samples analyzed without prior storage remained above 80% at both room temperature and dry ice. For the 27 aldehydes, the mean relative intensity losses were lower than 20% at 24 h of storage, remaining practically stable since the first hour of storage following sample collection. Furthermore, the mean relative intensity of most aldehydes in samples stored at room temperature was higher than those stored in dry ice, which could be related to water vapor condensation issues. These findings indicate that the exhaled breath samples could be preserved for hours with a low percentage of mean relative intensity loss, thereby allowing more flexibility in the logistics of off-line SESI-HRMS studies.
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Affiliation(s)
- Rosa A Sola-Martínez
- Department of Biochemistry and Molecular Biology B and Immunology, University of Murcia, Murcia, Spain
| | - Jiafa Zeng
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Mo Awchi
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Amanda Gisler
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
| | - Kim Arnold
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Kapil Dev Singh
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Urs Frey
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
- Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Manuel Cánovas Díaz
- Department of Biochemistry and Molecular Biology B and Immunology, University of Murcia, Murcia, Spain
| | - Teresa de Diego Puente
- Department of Biochemistry and Molecular Biology B and Immunology, University of Murcia, Murcia, Spain
| | - Pablo Sinues
- University of Basel Children's Hospital (UKBB), Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
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Habibzadeh A, Ostovan VR, Keshavarzian O, Kardeh S, Mahmoudi SS, Zakeri MR, Tabrizi R. Volatile organic compounds analysis as promising biomarkers for Parkinson's disease diagnosis: A systematic review and meta-analysis. Clin Neurol Neurosurg 2023; 235:108022. [PMID: 37939618 DOI: 10.1016/j.clineuro.2023.108022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/26/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Researchers are investigating the potential of volatile organic compounds (VOCs) obtained from exhaled breath and sebum as non-invasive tools for early Parkinson's disease (PD) diagnosis. The present study aims to assess the feasibility of using VOC analysis for PD diagnosis and determine the overall diagnostic accuracy of the proposed tests. METHODS We performed systematic searches based on the PRISMA guidelines to identify relevant studies on VOCs in PD diagnosis using exhaled breath or sebum samples. The selected articles were described, and meta-analysis was conducted on those that provided the sensitivity and specificity data. RESULTS Out of 1268 articles initially identified, 8 met the inclusion criteria and provided specific sensitivity and specificity data for PD, which were included in the current meta-analysis. The pooled analysis of these findings showed a mean area under the receiver operating characteristic curve of 0.85, a sensitivity of 0.81 (95% confidence interval (CI): 0.72, 0.88), and a specificity of 0.76 (95% CI: 0.66, 0.84). CONCLUSION The analysis of VOCs in exhaled breath and sebum has shown promise as a new avenue for non-invasive diagnosis of PD. VOCs' ability to distinguish PD from healthy controls suggests their potential clinical application in screening for the disease. Consequently, VOCs hold significant potential as biomarkers for PD diagnosis and offer a promising novel approach to identifying and diagnosing the condition.
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Affiliation(s)
- Adrina Habibzadeh
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran; USERN Office, Fasa University of Medical Sciences, Fasa, Iran
| | - Vahid Reza Ostovan
- Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Omid Keshavarzian
- School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sina Kardeh
- Central Clinical School, Monash University, Melbourne, Australia
| | - Seyed Sasan Mahmoudi
- Student Research Committee, Department of Neurosurgery, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohamad-Reza Zakeri
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Tabrizi
- USERN Office, Fasa University of Medical Sciences, Fasa, Iran; Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran; Clinical Research Development Unit, Valiasr Hospital, Fasa University of Medical Sciences, Fasa, Iran.
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14
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Anttalainen O, Lattouf E, Vanninen P, Hakulinen H, Kotiaho T, Eiceman G. Computational analysis of an electrostatic separator design for removal of volatile organic compounds from indoor air. J Air Waste Manag Assoc 2023; 73:877-889. [PMID: 37795973 DOI: 10.1080/10962247.2023.2265329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/18/2023] [Indexed: 10/06/2023]
Abstract
Concentrations of volatile organic compounds (VOCs) in air can be reduced in electrostatic separators where VOCs are ionized using ion-molecule reactions, extracted using electric fields, and eliminated in a waste flow. Embodiments for such separator technology have been explored in only a few studies, despite the possible advantage of purification without adsorbent filters. In one design, based on ionization of VOCs in positive polarity with hydrated protons as reactant ions, efficiencies for removal were measured as 30-40% . The results were fitted to a one-dimensional convective diffusion model requiring an unexpectedly high production rate of reactant ions to match both the model and data. A realistic rate of reactant ion production was used in finite element method simulations (COMSOL) and demonstrated that low removal efficiency could be attributed to non-uniform patterns of sample flow and to incomplete mixing of VOCs with reactant ions. In analysis of complex systems, such as this model, even limited computational modeling can outperform a pure analytical approach and bring insights into limiting factors or system bottlenecks.Implications: In this work, we applied modern computational methods to understand the performance of an air purifier based on electrostatics and ionized volatile organic compounds (VOCs). These were described in the publication early 2000s. The model presented was one-dimensional and did not account for the effects of flow. In our multiphysics finite element models, the efficiency and operation of the filter is better explained by the patterns of flow and flow influences on ion distributions in electric fields. In general, this work helps using and applying computational modelling to understand and improve the performance bottlenecks in air purification system designs.
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Affiliation(s)
- Osmo Anttalainen
- VERIFIN, Finnish Institute for Verification of the Chemical Weapons Convention, Department of Chemistry, University of Helsinki, Helsinki, Finland
| | - Elie Lattouf
- VERIFIN, Finnish Institute for Verification of the Chemical Weapons Convention, Department of Chemistry, University of Helsinki, Helsinki, Finland
| | - Paula Vanninen
- VERIFIN, Finnish Institute for Verification of the Chemical Weapons Convention, Department of Chemistry, University of Helsinki, Helsinki, Finland
| | - Hanna Hakulinen
- VERIFIN, Finnish Institute for Verification of the Chemical Weapons Convention, Department of Chemistry, University of Helsinki, Helsinki, Finland
| | - Tapio Kotiaho
- Drug Research Program and Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
- Department of Chemistry, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Gary Eiceman
- VERIFIN, Finnish Institute for Verification of the Chemical Weapons Convention, Department of Chemistry, University of Helsinki, Helsinki, Finland
- Department of Chemistry and Biochemistry, New Mexico State University, Las Cruces, New Mexico, USA
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15
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Wolfschluckner V, Obermüller B, Horvath A, Rodriguez-Blanco G, Fuchs P, Miekisch W, Mittl B, Flucher C, Till H, Singer G. Metabolomic Alterations of Volatile Organic Compounds and Bile Acids as Biomarkers of Microbial Shifts in a Murine Model of Short Bowel Syndrome. Nutrients 2023; 15:4949. [PMID: 38068807 PMCID: PMC10708115 DOI: 10.3390/nu15234949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 11/24/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Pediatric short bowel syndrome (SBS) is a rare condition characterized by a massive loss of the small intestine, leading to the inability to meet nutritional requirements without the use of parenteral or enteral supplementation. SBS causes profound alterations in the intestinal microbiome and metabolome. The aim of this study was a detailed assessment of the intestinal microbiome and metabolome in a murine model of SBS. We performed a 60% proximal small bowel resection versus a sham operation in C57BL/6 mice. Four weeks postoperatively, the microbial communities of different intestinal segments (jejunum, ileum, colon) and stool were assessed by 16S rRNA gene sequencing. Bile acids in serum and stool and volatile organic compounds (VOCs) in the fecal headspace were assessed using LC-MS and GC-MS techniques. The α-diversity of the different intestinal segments did not significantly differ between the two groups. β-diversity significantly differed between sham and SBS mice. While in the jejunum, Faecalibaculum was significantly increased in SBS animals, a significant reduction in Lactobacillus and Sporosarcina was detected in the ileum of SBS mice. In the colon of SBS mice, a significant decrease in Ruminococcaceae and a significant increase in Proteobacteria such as Faecalibaculum and Escherichia-Shigella were found. Serum levels of deoxycholic, taurocholic and taurochenodeoxycholic acids were significantly higher in the SBS group. Of the 29 VOCs tested, hexane, isoflurane and pentane were significantly higher in the SBS group, and pyrrole was significantly lower. We were able to show that SBS causes shifts in the murine intestinal microbiome and metabolome including serum BAs and fecal VOCs.
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Affiliation(s)
- Vanessa Wolfschluckner
- Department of Paediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria; (V.W.); (B.M.); (C.F.); (H.T.); (G.S.)
| | - Beate Obermüller
- Department of Paediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria; (V.W.); (B.M.); (C.F.); (H.T.); (G.S.)
| | - Angela Horvath
- Division of Gastroenterology and Hepatology, Medical University of Graz, 8036 Graz, Austria;
| | - Giovanny Rodriguez-Blanco
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria;
| | - Patricia Fuchs
- Department of Anaesthesiology, Intensive Care and Pain Therapy, Rostock University Medical Center, 18057 Rostock, Germany; (P.F.); (W.M.)
| | - Wolfram Miekisch
- Department of Anaesthesiology, Intensive Care and Pain Therapy, Rostock University Medical Center, 18057 Rostock, Germany; (P.F.); (W.M.)
| | - Barbara Mittl
- Department of Paediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria; (V.W.); (B.M.); (C.F.); (H.T.); (G.S.)
| | - Christina Flucher
- Department of Paediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria; (V.W.); (B.M.); (C.F.); (H.T.); (G.S.)
| | - Holger Till
- Department of Paediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria; (V.W.); (B.M.); (C.F.); (H.T.); (G.S.)
| | - Georg Singer
- Department of Paediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria; (V.W.); (B.M.); (C.F.); (H.T.); (G.S.)
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16
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Moura PC, Ribeiro PA, Raposo M, Vassilenko V. The State of the Art on Graphene-Based Sensors for Human Health Monitoring through Breath Biomarkers. Sensors (Basel) 2023; 23:9271. [PMID: 38005657 PMCID: PMC10674474 DOI: 10.3390/s23229271] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/13/2023] [Accepted: 11/17/2023] [Indexed: 11/26/2023]
Abstract
The field of organic-borne biomarkers has been gaining relevance due to its suitability for diagnosing pathologies and health conditions in a rapid, accurate, non-invasive, painless and low-cost way. Due to the lack of analytical techniques with features capable of analysing such a complex matrix as the human breath, the academic community has focused on developing electronic noses based on arrays of gas sensors. These sensors are assembled considering the excitability, sensitivity and sensing capacities of a specific nanocomposite, graphene. In this way, graphene-based sensors can be employed for a vast range of applications that vary from environmental to medical applications. This review work aims to gather the most relevant published papers under the scope of "Graphene sensors" and "Biomarkers" in order to assess the state of the art in the field of graphene sensors for the purposes of biomarker identification. During the bibliographic search, a total of six pathologies were identified as the focus of the work. They were lung cancer, gastric cancer, chronic kidney diseases, respiratory diseases that involve inflammatory processes of the airways, like asthma and chronic obstructive pulmonary disease, sleep apnoea and diabetes. The achieved results, current development of the sensing sensors, and main limitations or challenges of the field of graphene sensors are discussed throughout the paper, as well as the features of the experiments addressed.
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Affiliation(s)
| | | | | | - Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-NOVA), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-NOVA, 2829-516 Caparica, Portugal; (P.C.M.); (P.A.R.); (M.R.)
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17
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Vassilenko V, Moura PC, Raposo M. Diagnosis of Carcinogenic Pathologies through Breath Biomarkers: Present and Future Trends. Biomedicines 2023; 11:3029. [PMID: 38002028 PMCID: PMC10669878 DOI: 10.3390/biomedicines11113029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
The assessment of volatile breath biomarkers has been targeted with a lot of interest by the scientific and medical communities during the past decades due to their suitability for an accurate, painless, non-invasive, and rapid diagnosis of health states and pathological conditions. This paper reviews the most relevant bibliographic sources aiming to gather the most pertinent volatile organic compounds (VOCs) already identified as putative cancer biomarkers. Here, a total of 265 VOCs and the respective bibliographic sources are addressed regarding their scientifically proven suitability to diagnose a total of six carcinogenic diseases, namely lung, breast, gastric, colorectal, prostate, and squamous cell (oesophageal and laryngeal) cancers. In addition, future trends in the identification of five other forms of cancer, such as bladder, liver, ovarian, pancreatic, and thyroid cancer, through perspective volatile breath biomarkers are equally presented and discussed. All the results already achieved in the detection, identification, and quantification of endogenous metabolites produced by all kinds of normal and abnormal processes in the human body denote a promising and auspicious future for this alternative diagnostic tool, whose future passes by the development and employment of newer and more accurate collection and analysis techniques, and the certification for utilisation in real clinical scenarios.
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Affiliation(s)
- Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516 Caparica, Portugal;
| | - Pedro Catalão Moura
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516 Caparica, Portugal;
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18
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Roquencourt C, Lamy E, Bardin E, Devillier P, Grassin-Delyle S. A benchmark study of data normalisation methods for PTR-TOF-MS exhaled breath metabolomics. J Breath Res 2023; 18:016006. [PMID: 37917990 DOI: 10.1088/1752-7163/ad08ce] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/02/2023] [Indexed: 11/04/2023]
Abstract
Volatilomics is the branch of metabolomics dedicated to the analysis of volatile organic compounds in exhaled breath for medical diagnostic or therapeutic monitoring purposes. Real-time mass spectrometry (MS) technologies such as proton transfer reaction (PTR) MS are commonly used, and data normalisation is an important step to discard unwanted variation from non-biological sources, as batch effects and loss of sensitivity over time may be observed. As normalisation methods for real-time breath analysis have been poorly investigated, we aimed to benchmark known metabolomic data normalisation methods and apply them to PTR-MS data analysis. We compared seven normalisation methods, five statistically based and two using multiple standard metabolites, on two datasets from clinical trials for COVID-19 diagnosis in patients from the emergency department or intensive care unit. We evaluated different means of feature selection to select the standard metabolites, as well as the use of multiple repeat measurements of ambient air to train the normalisation methods. We show that the normalisation tools can correct for time-dependent drift. The methods that provided the best corrections for both cohorts were probabilistic quotient normalisation and normalisation using optimal selection of multiple internal standards. Normalisation also improved the diagnostic performance of the machine learning models, significantly increasing sensitivity, specificity and area under the receiver operating characteristic (ROC) curve for the diagnosis of COVID-19. Our results highlight the importance of adding an appropriate normalisation step during the processing of PTR-MS data, which allows significant improvements in the predictive performance of statistical models.Clinical trials: VOC-COVID-Diag (EudraCT 2020-A02682-37); RECORDS trial (EudraCT 2020-000296-21).
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Affiliation(s)
| | - Elodie Lamy
- Département de Biotechnologie de la Santé, Université Paris-Saclay, UVSQ, INSERM U1173, Infection et inflammation, Montigny le Bretonneux, France
| | - Emmanuelle Bardin
- Hôpital Foch, Exhalomics®, Suresnes, France
- Département de Biotechnologie de la Santé, Université Paris-Saclay, UVSQ, INSERM U1173, Infection et inflammation, Montigny le Bretonneux, France
- Institut Necker-Enfants Malades, Paris, France
| | - Philippe Devillier
- Hôpital Foch, Exhalomics®, Suresnes, France
- Laboratoire de recherche en Pharmacologie Respiratoire-VIM Suresnes, UMR 0892, Université Paris-Saclay, Suresnes, France
| | - Stanislas Grassin-Delyle
- Hôpital Foch, Exhalomics®, Suresnes, France
- Département de Biotechnologie de la Santé, Université Paris-Saclay, UVSQ, INSERM U1173, Infection et inflammation, Montigny le Bretonneux, France
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Poļaka I, Mežmale L, Anarkulova L, Kononova E, Vilkoite I, Veliks V, Ļeščinska AM, Stonāns I, Pčolkins A, Tolmanis I, Shani G, Haick H, Mitrovics J, Glöckler J, Mizaikoff B, Leja M. The Detection of Colorectal Cancer through Machine Learning-Based Breath Sensor Analysis. Diagnostics (Basel) 2023; 13:3355. [PMID: 37958251 PMCID: PMC10648537 DOI: 10.3390/diagnostics13213355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/24/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Colorectal cancer (CRC) is the third most common malignancy and the second most common cause of cancer-related deaths worldwide. While CRC screening is already part of organized programs in many countries, there remains a need for improved screening tools. In recent years, a potential approach for cancer diagnosis has emerged via the analysis of volatile organic compounds (VOCs) using sensor technologies. The main goal of this study was to demonstrate and evaluate the diagnostic potential of a table-top breath analyzer for detecting CRC. Breath sampling was conducted and CRC vs. non-cancer groups (105 patients with CRC, 186 non-cancer subjects) were included in analysis. The obtained data were analyzed using supervised machine learning methods (i.e., Random Forest, C4.5, Artificial Neural Network, and Naïve Bayes). Superior accuracy was achieved using Random Forest and Evolutionary Search for Features (79.3%, sensitivity 53.3%, specificity 93.0%, AUC ROC 0.734), and Artificial Neural Networks and Greedy Search for Features (78.2%, sensitivity 43.3%, specificity 96.5%, AUC ROC 0.735). Our results confirm the potential of the developed breath analyzer as a promising tool for identifying and categorizing CRC within a point-of-care clinical context. The combination of MOX sensors provided promising results in distinguishing healthy vs. diseased breath samples. Its capacity for rapid, non-invasive, and targeted CRC detection suggests encouraging prospects for future clinical screening applications.
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Affiliation(s)
- Inese Poļaka
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Department of Modelling and Simulation, Riga Technical University, LV-1048 Riga, Latvia
| | - Linda Mežmale
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Faculty of Medicine, University of Latvia, LV-1586 Riga, Latvia
- Riga East University Hospital, LV-1038 Riga, Latvia
- Faculty of Residency, Riga Stradins University, LV-1007 Riga, Latvia
- Health Centre 4, LV-1012 Riga, Latvia;
| | - Linda Anarkulova
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Faculty of Residency, Riga Stradins University, LV-1007 Riga, Latvia
- Health Centre 4, LV-1012 Riga, Latvia;
- Liepaja Regional Hospital, LV-3414 Liepaja, Latvia
| | - Elīna Kononova
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Faculty of Medicine, Riga Stradins University, LV-1007 Riga, Latvia;
| | - Ilona Vilkoite
- Health Centre 4, LV-1012 Riga, Latvia;
- Department of Doctoral Studies, Riga Stradins University, LV-1007 Riga, Latvia
| | - Viktors Veliks
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
| | - Anna Marija Ļeščinska
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Riga East University Hospital, LV-1038 Riga, Latvia
- Digestive Diseases Centre GASTRO, LV-1079 Riga, Latvia
| | - Ilmārs Stonāns
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
| | - Andrejs Pčolkins
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Faculty of Medicine, University of Latvia, LV-1586 Riga, Latvia
- Riga East University Hospital, LV-1038 Riga, Latvia
| | - Ivars Tolmanis
- Faculty of Medicine, Riga Stradins University, LV-1007 Riga, Latvia;
- Digestive Diseases Centre GASTRO, LV-1079 Riga, Latvia
| | - Gidi Shani
- Laboratory for Nanomaterial-Based Devices, Technion—Israel Institute of Technology, Haifa 3200003, Israel; (G.S.); (H.H.)
| | - Hossam Haick
- Laboratory for Nanomaterial-Based Devices, Technion—Israel Institute of Technology, Haifa 3200003, Israel; (G.S.); (H.H.)
| | | | - Johannes Glöckler
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, 89081 Ulm, Germany; (J.G.); (B.M.)
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, 89081 Ulm, Germany; (J.G.); (B.M.)
- Hahn-Schickard, 89077 Ulm, Germany
| | - Mārcis Leja
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia; (I.P.); (L.A.); (E.K.); (V.V.); (A.M.Ļ.); (I.S.); (A.P.); (M.L.)
- Faculty of Medicine, University of Latvia, LV-1586 Riga, Latvia
- Riga East University Hospital, LV-1038 Riga, Latvia
- Digestive Diseases Centre GASTRO, LV-1079 Riga, Latvia
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20
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Berna AZ, Merriman JA, Mellett L, Parchment DK, Caparon MG, Odom John AR. Volatile profiling distinguishes Streptococcus pyogenes from other respiratory streptococcal species. mSphere 2023; 8:e0019423. [PMID: 37791788 PMCID: PMC10597408 DOI: 10.1128/msphere.00194-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/13/2023] [Indexed: 10/05/2023] Open
Abstract
Sore throat is one of the most common complaints encountered in the ambulatory clinical setting. Rapid, culture-independent diagnostic techniques that do not rely on pharyngeal swabs would be highly valuable as a point-of-care strategy to guide outpatient antibiotic treatment. Despite the promise of this approach, efforts to detect volatiles during oropharyngeal infection have yet been limited. In our research study, we sought to evaluate for specific bacterial volatile organic compounds (VOC) biomarkers in isolated cultures in vitro, in order to establish proof-of-concept prior to initial clinical studies of breath biomarkers. A particular challenge for the diagnosis of pharyngitis due to Streptococcus pyogenes is the likelihood that many metabolites may be shared by S. pyogenes and other related oropharyngeal colonizing bacterial species. Therefore, we evaluated whether sufficient metabolic differences are present, which distinguish the volatile metabolome of Group A streptococci from other streptococcal species that also colonize the respiratory mucosa, such as Streptococcus pneumoniae and Streptococcus intermedius. In this work, we identified 27 discriminatory VOCs (q-values < 0.05), composed of aldehydes, alcohols, nitrogen-containing compounds, hydrocarbons, ketones, aromatic compounds, esters, ethers, and carboxylic acid. From this group of volatiles, we identify candidate biomarkers that distinguish S. pyogenes from other species and establish highly produced VOCs that indicate the presence of S. pyogenes in vitro, supporting future breath-based diagnostic testing for streptococcal pharyngitis. IMPORTANCE Acute pharyngitis accounts for approximately 15 million ambulatory care visits in the United States. The most common and important bacterial cause of pharyngitis is Streptococcus pyogenesis, accounting for 15%-30% of pediatric pharyngitis. Distinguishing between bacterial and viral pharyngitis is key to management in US practice. The culture of a specimen obtained by a throat swab is the standard laboratory procedure for the microbiologic confirmation of pharyngitis; however, this method is time-consuming, which delays appropriate treatment. If left untreated, S. pyogenes pharyngitis may lead to local and distant complications. In this study, we characterized the volatile metabolomes of S. pyogenes and other related oropharyngeal colonizing bacterial species. We identify candidate biomarkers that distinguish S. pyogenes from other species and provide evidence to support future breath-based diagnostic testing for streptococcal pharyngitis.
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Affiliation(s)
- Amalia Z. Berna
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Joseph A. Merriman
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Microbiome Therapies Initiative, Stanford University, Palo Alto, California, USA
| | - Leah Mellett
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Danealle K. Parchment
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - Michael G. Caparon
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Audrey R. Odom John
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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21
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D'Ercole S, Parisi P, D'Arcangelo S, Lorusso F, Cellini L, Dotta TC, Di Carmine M, Petrini M, Scarano A, Tripodi D. Correlation between use of different type protective facemasks and the oral ecosystem. BMC Public Health 2023; 23:1992. [PMID: 37828542 PMCID: PMC10571399 DOI: 10.1186/s12889-023-16936-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/09/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Spread worldwide through droplets, the Virus Sars-Cov-19 has caused a global health emergency alarm. In order to limit its spread, the use of masks has become part of the daily life of the entire population, however, little is known about its constant use and the changes generated in the oral cavity. This work aims to investigate correlations between the continuous use of masks covering the nose and mouth for 3 h and changes in the ecological factors of the oral cavity. METHODS 34 volunteers were divided into 2 groups: wear only the filtering facepiece code 2 (FFP2) mask (Group A) and wear the FFP2 mask covered by a surgical mask (Group B). Measurement of Volatile Organic Compounds (VOCs), saliva rehydration and consistency test, collection of basal saliva and saliva stimulated with paraffin gum and mucosal swab were collected and analyzed at two times: before using the mask(s) (T0) and 3 h after continuous use of the mask(s) (T1). RESULTS The results indicated a significant difference between the groups, in which the basal saliva volume and pH and the peaks of VOCs increased for group B between T0 and T1. The rehydration time decreased and the volume and pH of the stimulated saliva increased, but with no significant difference between the groups. Furthermore, group B showed a significant decrease in Candida albicans Colony Forming Units (CFUs) and Total Bacterial Count (TBC) between T0 and T1. CONCLUSION It is concluded that the prolonged use of the FFP2 mask covered by a surgical mask can generate oral alterations in the user.
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Affiliation(s)
- Simonetta D'Ercole
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti- Pescara, Via dei Vestini, 31, Chieti, 66100, Italy.
| | - Paolo Parisi
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti- Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Sara D'Arcangelo
- Department of Pharmacy, University "G. D'Annunzio" of Chieti-Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Felice Lorusso
- Department of Innovative Technologies in Medicine and Dentistry, University "Gd'Annunzio" of Chieti-Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Luigina Cellini
- Department of Pharmacy, University "G. D'Annunzio" of Chieti-Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Tatiane Cristina Dotta
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti- Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
- Department of Dental Materials and Prosthodontics, School of Dentistry of Ribeirão Preto, University of São Paulo, São Paulo, 14040-904, Brazil
| | - Maristella Di Carmine
- Department of Innovative Technologies in Medicine and Dentistry, University "Gd'Annunzio" of Chieti-Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Morena Petrini
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti- Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Antonio Scarano
- Department of Innovative Technologies in Medicine and Dentistry, University "Gd'Annunzio" of Chieti-Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
| | - Domenico Tripodi
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio" of Chieti- Pescara, Via dei Vestini, 31, Chieti, 66100, Italy
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22
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Castillo JS, Bellantuono AJ, DeGennaro M. Quantifying Mosquito Attraction Behavior Using Olfactometry. Cold Spring Harb Protoc 2023; 2023:715-8. [PMID: 37024240 DOI: 10.1101/pdb.top107660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
When blood feeding from human hosts, female mosquitoes can transmit life-threatening pathogens to humans, including dengue virus, chikungunya virus, and Zika virus. Olfaction is the primary sense mosquitoes use to locate and differentiate hosts and studying it can lead to new strategies to reduce the risk of disease. To effectively study host-seeking behavior in mosquitoes, a repeatable, quantitative assay that isolates olfaction from other cues is critical for interpreting mosquito behavior. Here, we contribute an overview of methods and best practices for the study of mosquito attraction (or lack thereof) by using olfactometry to quantify behavior. In the accompanying protocols, we present an olfactory-based behavioral assay using a uniport olfactometer that measures mosquito attraction rate to specific stimuli. We include construction details, setup of the uniport olfactometer, details of the behavioral assay, and data analysis guidelines, as well as how to prepare the mosquitoes before their introduction into the olfactometer. This uniport olfactometer behavioral assay is currently one of the most reliable methods to study mosquito attraction to a single olfactory stimulus.
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Affiliation(s)
- John S Castillo
- Department of Biological Sciences and Biomolecular Sciences Institute, Florida International University, Miami, Florida 33199, USA
| | - Anthony J Bellantuono
- Department of Biological Sciences and Biomolecular Sciences Institute, Florida International University, Miami, Florida 33199, USA
| | - Matthew DeGennaro
- Department of Biological Sciences and Biomolecular Sciences Institute, Florida International University, Miami, Florida 33199, USA
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23
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Seyfinejad B, Nemutlu E, Taghizadieh A, Khoubnasabjafari M, Ozkan SA, Jouyban A. Biomarkers in exhaled breath condensate as fingerprints of asthma, chronic obstructive pulmonary disease and asthma-chronic obstructive pulmonary disease overlap: a critical review. Biomark Med 2023; 17:811-837. [PMID: 38179966 DOI: 10.2217/bmm-2023-0420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024] Open
Abstract
Asthma, chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap are the third leading cause of mortality around the world. They share some common features, which can lead to misdiagnosis. To properly manage these conditions, reliable markers for early and accurate diagnosis are needed. Over the past 20 years, many molecules have been investigated in the exhaled breath condensate to better understand inflammation pathways and mechanisms related to these disorders. Recently, more advanced techniques, such as sensitive metabolomic and proteomic profiling, have been used to obtain a more comprehensive understanding. This article reviews the use of targeted and untargeted metabolomic methodology to study asthma, COPD and asthma-COPD overlap.
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Affiliation(s)
- Behrouz Seyfinejad
- Pharmaceutical Analysis Research Center & Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Emirhan Nemutlu
- Department of Analytical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara, 06100, Turkiye
| | - Ali Taghizadieh
- Tuberculosis & Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Internal Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Maryam Khoubnasabjafari
- Tuberculosis & Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Anesthesiology & Intensive Care, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sibel A Ozkan
- Ankara University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, 06560, Turkiye
| | - Abolghasem Jouyban
- Pharmaceutical Analysis Research Center & Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
- Faculty of Pharmacy, Near East University, PO Box 99138 Nicosia, North Cyprus, Mersin 10, Turkiye
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24
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Hintzen KF, Eussen MM, Neutel C, Bouvy ND, van Schooten FJ, Hooijmans CR, Lubbers T. A systematic review on the detection of volatile organic compounds in exhaled breath in experimental animals in the context of gastrointestinal and hepatic diseases. PLoS One 2023; 18:e0291636. [PMID: 37733754 PMCID: PMC10513283 DOI: 10.1371/journal.pone.0291636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 09/02/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Analysis of volatile organic compounds (VOCs) in exhaled breath has the potential to serve as an accurate diagnostic tool for gastro-intestinal diseases. Animal studies could be instrumental as a preclinical base and subsequent clinical translation to humans, as they are easier to standardize and better equipped to relate specific VOCs to metabolic and pathological processes. This review provides an overview of the study design, characteristics and methodological quality of previously published animal studies on analysis of exhaled breath in gastrointestinal and hepatic diseases. Guidelines are provided for standardization in study design and breath collection methods to improve comparability, avoid duplication of research and reduce discomfort of animals in future studies. METHODS PubMed and Embase database were searched for animal studies using exhaled breath analysis to detect gastro-intestinal diseases. Risk of bias was assessed using the SYRCLE's risk of bias tool for animal studies. Information on study design, standardization methods, animal models, breath collection methods and identified VOCs were extracted from the included studies. RESULTS 10 studies were included (acute liver failure n = 1, non-alcoholic steatohepatitis n = 1, hepatic ischemia n = 2, mesenteric ischemia n = 2, sepsis and peritonitis n = 3, colitis n = 1). Rats were used in most of the studies. Exhaled breath was mostly collected using invasive procedures as tracheal cannulation or tracheostomy. Poor reporting on standardization, breath collection methods, analytical techniques, as well as heterogeneity of the studies, complicate comparison of the different studies. CONCLUSION Poor reporting of essential methodological details impaired comprehensive summarizing the various studies on exhaled breath in gastrointestinal and hepatic diseases. Potential pitfalls in study design, and suggestions for improvement of study design are discussed which, when applied, lead to consistent and generalizable results and a reduction in the use of laboratory animals. Refining the methodological quality of animal studies has the potential to improve subsequent clinical trial design.
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Affiliation(s)
- Kim F.H. Hintzen
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, The Netherlands
| | - Myrthe M.M. Eussen
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Céline Neutel
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Nicole D. Bouvy
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Frederik-Jan van Schooten
- Department of Pharmacology and Toxicology, Maastricht University, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, The Netherlands
| | - Carlijn R. Hooijmans
- Department of Anesthesiology, Pain and Palliative Care (Meta Research Team), Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Tim Lubbers
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
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25
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Callewaert C, Pezavant M, Vandaele R, Meeus B, Vankrunkelsven E, Van Goethem P, Plumacker A, Misset B, Darcis G, Piret S, De Vleeschouwer L, Staelens F, Van Varenbergh K, Tombeur S, Ottevaere A, Montag I, Vandecandelaere P, Jonckheere S, Vandekerckhove L, Tobback E, Wieers G, Marot JC, Anseeuw K, D’Hoore L, Tuyls S, De Tavernier B, Catteeuw J, Lotfi A, Melnik A, Aksenov A, Grandjean D, Stevens M, Gasthuys F, Guyot H. Sniffing out safety: canine detection and identification of SARS-CoV-2 infection from armpit sweat. Front Med (Lausanne) 2023; 10:1185779. [PMID: 37822474 PMCID: PMC10563588 DOI: 10.3389/fmed.2023.1185779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/14/2023] [Indexed: 10/13/2023] Open
Abstract
Detection dogs were trained to detect SARS-CoV-2 infection based on armpit sweat odor. Sweat samples were collected using cotton pads under the armpits of negative and positive human patients, confirmed by qPCR, for periods of 15-30 min. Multiple hospitals and organizations throughout Belgium participated in this study. The sweat samples were stored at -20°C prior to being used for training purposes. Six dogs were trained under controlled atmosphere conditions for 2-3 months. After training, a 7-day validation period was conducted to assess the dogs' performances. The detection dogs exhibited an overall sensitivity of 81%, specificity of 98%, and an accuracy of 95%. After validation, training continued for 3 months, during which the dogs' performances remained the same. Gas chromatography/mass spectrometry (GC/MS) analysis revealed a unique sweat scent associated with SARS-CoV-2 positive sweat samples. This scent consisted of a wide variety of volatiles, including breakdown compounds of antiviral fatty acids, skin proteins and neurotransmitters/hormones. An acceptability survey conducted in Belgium demonstrated an overall high acceptability and enthusiasm toward the use of detection dogs for SARS-CoV-2 detection. Compared to qPCR and previous canine studies, the detection dogs have good performances in detecting SARS-CoV-2 infection in humans, using frozen sweat samples from the armpits. As a result, they can be used as an accurate pre-screening tool in various field settings alongside the PCR test.
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Affiliation(s)
- Chris Callewaert
- Center for Microbial Ecology and Technology (CMET), Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Maria Pezavant
- Faculty of Veterinary Medicine, Clinique Vétérinaire Universitaire (CVU), University of Liège, Liège, Belgium
| | | | | | | | | | | | - Benoit Misset
- CHU-Sart-Tilman, Intensive Care Unit, University of Liège, Liège, Belgium
| | - Gilles Darcis
- CHU-Sart-Tilman, Infectious Diseases – Internal Medicine, Public Health Sciences, University of Liège, Liège, Belgium
| | - Sonia Piret
- CHU-Bruyères, Intensive Care Unit, University of Liège, Liège, Belgium
| | | | | | | | | | | | | | | | - Stijn Jonckheere
- Laboratory of Clinical Microbiology, Jan Yperman Hospital, Ypres, Belgium
| | - Linos Vandekerckhove
- HIV Cure Research Center, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Els Tobback
- Department of General Internal Medicine and Infectious Diseases, Ghent University Hospital, Ghent, Belgium
| | - Gregoire Wieers
- General Internal Medicine, Clinique Saint-Pierre Ottignies, Ottignies, Belgium
- Namur Research Institute for Life Sciences (Narilis) and Department of Medicine, University of Namur, Namur, Belgium
| | | | - Kurt Anseeuw
- Department of Emergency Medicine, ZNA, Antwerp, Belgium
| | - Leen D’Hoore
- Belgian Defence, Brussels, Belgium
- Department of Emergency Medicine, ZNA, Antwerp, Belgium
| | - Sebastiaan Tuyls
- Respiratory Medicine, GasthuisZusters (GZA) Hospital Group, Antwerp, Belgium
| | - Brecht De Tavernier
- Emergency Medicine and Intensive Care, GasthuisZusters (GZA) Hospital Group, Antwerp, Belgium
| | | | - Ali Lotfi
- Department of Chemistry, University of Connecticut, Storrs, CT, United States
| | - Alexey Melnik
- Department of Chemistry, University of Connecticut, Storrs, CT, United States
| | - Alexander Aksenov
- Department of Chemistry, University of Connecticut, Storrs, CT, United States
| | - Dominique Grandjean
- Nosaïs Program, Ecole Nationale Vétérinaire d’Alfort (Alfort School of Veterinary Medicine), University Paris-Est, Maisons-Alfort, France
| | | | - Frank Gasthuys
- Department of Surgery, Anesthesiology and Orthopedics of Large Animals, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Hugues Guyot
- Faculty of Veterinary Medicine, Clinique Vétérinaire Universitaire (CVU), University of Liège, Liège, Belgium
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26
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Swargiary K, Jitpratak P, Pathak AK, Viphavakit C. Low-Cost ZnO Spray-Coated Optical Fiber Sensor for Detecting VOC Biomarkers of Diabetes. Sensors (Basel) 2023; 23:7916. [PMID: 37765971 PMCID: PMC10536205 DOI: 10.3390/s23187916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/09/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023]
Abstract
A non-invasive optical fiber sensor for detecting volatile organic compounds (VOCs) as biomarkers of diabetes is proposed and experimentally demonstrated. It offers a low-cost and straightforward fabrication approach by implementing a one-step spray coating of a ZnO colloidal solution on a glass optical fiber. The structure of the optical fiber sensor is based on a single-mode fiber-coreless silica fiber-single-mode fiber (SMF-CSF-SMF) structure, where the CSF is the sensor region spliced between two SMFs. The ZnO layer of a higher refractive index coated over the sensing region improves the light interaction with the surrounding medium, leading to sensitivity enhancement. The optical properties, morphology, and elemental composition of the ZnO layer were analyzed. The sensing mechanism of the developed sensor is based on a wavelength interrogation technique showing wavelength shifts when the sensor is exposed to various VOC vapor concentration levels. Various concentrations of the three VOCs (including acetone, isopropanol, and ethanol) ranging from 20% to 100% were tested and analyzed. The sensor noticeably shows a significant response towards acetone vapor, with a better sensitivity of 0.162 nm/% vapor than for isopropanol (0.082 nm/% vapor) and ethanol (0.075 nm/% vapor) vapors. The high sensitivity and selectivity towards acetone, a common biomarker for diabetes, offers the potential for further development of this sensor as a smart healthcare system for monitoring diabetic conditions.
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Affiliation(s)
- Kankan Swargiary
- International School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pannathorn Jitpratak
- Biomedical Engineering Program, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
| | - Akhilesh Kumar Pathak
- Center for Smart Structures and Materials, Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Charusluk Viphavakit
- International School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand
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Roquencourt C, Salvator H, Bardin E, Lamy E, Farfour E, Naline E, Devillier P, Grassin-Delyle S. Enhanced real-time mass spectrometry breath analysis for the diagnosis of COVID-19. ERJ Open Res 2023; 9:00206-2023. [PMID: 37727677 PMCID: PMC10505950 DOI: 10.1183/23120541.00206-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 06/21/2023] [Indexed: 09/21/2023] Open
Abstract
Background Although rapid screening for and diagnosis of coronavirus disease 2019 (COVID-19) are still urgently needed, most current testing methods are long, costly or poorly specific. The objective of the present study was to determine whether or not artificial-intelligence-enhanced real-time mass spectrometry breath analysis is a reliable, safe, rapid means of screening ambulatory patients for COVID-19. Methods In two prospective, open, interventional studies in a single university hospital, we used real-time, proton transfer reaction time-of-flight mass spectrometry to perform a metabolomic analysis of exhaled breath from adults requiring screening for COVID-19. Artificial intelligence and machine learning techniques were used to build mathematical models based on breath analysis data either alone or combined with patient metadata. Results We obtained breath samples from 173 participants, of whom 67 had proven COVID-19. After using machine learning algorithms to process breath analysis data and further enhancing the model using patient metadata, our method was able to differentiate between COVID-19-positive and -negative participants with a sensitivity of 98%, a specificity of 74%, a negative predictive value of 98%, a positive predictive value of 72% and an area under the receiver operating characteristic curve of 0.961. The predictive performance was similar for asymptomatic, weakly symptomatic and symptomatic participants and was not biased by COVID-19 vaccination status. Conclusions Real-time, noninvasive, artificial-intelligence-enhanced mass spectrometry breath analysis might be a reliable, safe, rapid, cost-effective, high-throughput method for COVID-19 screening.
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Affiliation(s)
| | - Hélène Salvator
- Exhalomics, Hôpital Foch, Suresnes, France
- Service de Pneumologie, Hôpital Foch, Suresnes, France
- Laboratoire de Recherche en Pharmacologie Respiratoire – VIM Suresnes, UMR 0892, Université Paris-Saclay, Suresnes, France
| | - Emmanuelle Bardin
- Exhalomics, Hôpital Foch, Suresnes, France
- Université Paris-Saclay, UVSQ, INSERM, Infection et inflammation (2I), U1173, Département de Biotechnologie de la Santé, Montigny le Bretonneux, France
- Institut Necker Enfants Malades, U1151, Paris, France
| | - Elodie Lamy
- Université Paris-Saclay, UVSQ, INSERM, Infection et inflammation (2I), U1173, Département de Biotechnologie de la Santé, Montigny le Bretonneux, France
| | - Eric Farfour
- Service de Biologie Clinique, Hôpital Foch, Suresnes, France
| | | | - Philippe Devillier
- Exhalomics, Hôpital Foch, Suresnes, France
- Laboratoire de Recherche en Pharmacologie Respiratoire – VIM Suresnes, UMR 0892, Université Paris-Saclay, Suresnes, France
| | - Stanislas Grassin-Delyle
- Exhalomics, Hôpital Foch, Suresnes, France
- Université Paris-Saclay, UVSQ, INSERM, Infection et inflammation (2I), U1173, Département de Biotechnologie de la Santé, Montigny le Bretonneux, France
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Tan SY, Ma Q, Li F, Jiang H, Peng XY, Dong J, Ye X, Wang QL, You FM, Fu X, Ren YF. Does the last 20 years paradigm of clinical research using volatile organic compounds to non-invasively diagnose cancer need to change? Challenges and future direction. J Cancer Res Clin Oncol 2023; 149:10377-10386. [PMID: 37273109 DOI: 10.1007/s00432-023-04940-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023]
Abstract
PURPOSE Volatile organic compounds (VOCs) have shown great potential as novel biomarkers for cancer detection; however, comprehensive quantitative analysis is lacking. In this study, we performed a bibliometric analysis of non-invasive cancer diagnosis using VOCs to better characterise international trends and to predict future hotspots in this field, and then we focussed on human studies to analyse clinical characteristics for presenting the current controversies and future perspectives of further clinical work. METHODS Publications, from 2002 to 2022, were retrieved from the Web of Science Core Collection database. CiteSpace and VOSviewer were used to generate network maps and identify the annual publications, top countries, authors, institutions, journals, references, and keywords. Then, we further screened clinical trials, and the key information was extracted into Microsoft Excel for further systematical analysis. RESULTS Six hundred and forty-one articles were identified to evaluate research trends, of which 301 clinical trials were selected for further systematical analysis. Overall, the annual publications in this area increased, with an overall upward trend, while the quality of clinical research remains remarkably uneven. CONCLUSION The study of non-invasive cancer diagnosis using VOCs would continue to be an active field. However, without stringent clinical design criteria, most suitable acquisition and analysis devices and statistical approaches, a list of exclusive, specific, reliable and reproducible VOCs to identify a disease and these VOCs appearing in a breath at detectable levels at early stage disease, the clinical utility of VOC tests will be difficult to have any breakthroughs.
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Affiliation(s)
- Shi-Yan Tan
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Qiong Ma
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Fang Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Hua Jiang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xiao-Yun Peng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Jing Dong
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xin Ye
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Qiao-Ling Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Feng-Ming You
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China
| | - Xi Fu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China.
| | - Yi-Feng Ren
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, Sichuan, China.
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Oliva G, Fiorillo AS, Islam SK, Pullano SA. Detection of Propionic Acids Trapped in Thin Zeolite Layer Using Thermal Desorption Analysis. Sensors (Basel) 2023; 23:7352. [PMID: 37687805 PMCID: PMC10490041 DOI: 10.3390/s23177352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023]
Abstract
Volatile organic compounds (VOCs) have recently received considerable attention for the analysis and monitoring of different biochemical processes in biological systems such as humans, plants, and microorganisms. The advantage of using VOCs to gather information about a specific process is that they can be extracted using different types of samples, even at low concentrations. Therefore, VOC levels represent the fingerprints of specific biochemical processes. The aim of this work was to develop a sensor based on a photoionization detector (PID) and a zeolite layer, used as an alternative analytic separation technique for the analysis of VOCs. The identification of VOCs occurred through the evaluation of the emissive profile during the thermal desorption phase, using a stainless-steel chamber for analysis. Emission profiles were evaluated using a double exponential mathematical model, which fit well if compared with the physical system, describing both the evaporation and diffusion processes. The results showed that the zeolite layer was selective for propionic acid molecules if compared to succinic acid molecules, showing linear behavior even at low concentrations. The process to define the optimal adsorption time between the propionic acid molecules was performed in the range of 5 to 60 min, followed by a thermal desorption process at 100 °C. An investigation of the relationship between the evaporation and diffusion rates showed that the maximum concentration of detected propionic acid molecules occurred in 15 min. Other analyses were performed to study how the concentration of VOCs depended on the desorption temperature and the volume of the analysis chamber. For this purpose, tests were performed using three analysis chambers with volumes of 25 × 10-6, 50 × 10-6, and 150 × 10-6 m3 at three different desorption temperatures of 20 °C, 50 °C, and 100 °C, respectively. The results demonstrated that the evaporation rate of the VOCs increased rapidly with an increasing temperature, while the diffusion rate remained almost constant and was characterized by a slow decay time. The diffusion ratio increased when using a chamber with a larger volume. These results highlight the capabilities of this alternative technique for VOC analysis, even for samples with low concentrations. The coupling of a zeolite layer and a PID improves the detection selectivity in portable devices, demonstrating the feasibility of extending its use to a wide range of new applications.
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Affiliation(s)
- Giuseppe Oliva
- Biomedical Applications Technologies & Sensors (BATS) Laboratory, Department of Health Sciences, Magna Græcia University of Catanzaro, Viale Europa, 88100 Catanzaro, Italy;
| | - Antonino S. Fiorillo
- Biomedical Applications Technologies & Sensors (BATS) Laboratory, Department of Health Sciences, Magna Græcia University of Catanzaro, Viale Europa, 88100 Catanzaro, Italy;
| | - Syed Kamrul Islam
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA;
| | - Salvatore A. Pullano
- Biomedical Applications Technologies & Sensors (BATS) Laboratory, Department of Health Sciences, Magna Græcia University of Catanzaro, Viale Europa, 88100 Catanzaro, Italy;
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA;
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30
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Moura PC, Raposo M, Vassilenko V. Breath volatile organic compounds (VOCs) as biomarkers for the diagnosis of pathological conditions: A review. Biomed J 2023; 46:100623. [PMID: 37336362 PMCID: PMC10339195 DOI: 10.1016/j.bj.2023.100623] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 06/06/2023] [Accepted: 06/14/2023] [Indexed: 06/21/2023] Open
Abstract
Normal and abnormal/pathological status of physiological processes in the human organism can be characterized through Volatile Organic Compounds (VOCs) emitted in breath. Recently, a wide range of volatile analytes has risen as biomarkers. These compounds have been addressed in the scientific and medical communities as an extremely valuable metabolic window. Once collected and analysed, VOCs can represent a tool for a rapid, accurate, non-invasive, and painless diagnosis of several diseases and health conditions. These biomarkers are released by exhaled breath, urine, faeces, skin, and several other ways, at trace concentration levels, usually in the ppbv (μg/L) range. For this reason, the analytical techniques applied for detecting and clinically exploiting the VOCs are extremely important. The present work reviews the most promising results in the field of breath biomarkers and the most common methods of detection of VOCs. A total of 16 pathologies and the respective database of compounds are addressed. An updated version of the VOCs biomarkers database can be consulted at: https://neomeditec.com/VOCdatabase/.
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Affiliation(s)
- Pedro Catalão Moura
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, Caparica, Portugal
| | - Maria Raposo
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, Caparica, Portugal.
| | - Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, Caparica, Portugal.
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31
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Brandt S, Pavlichenko I, Shneidman AV, Patel H, Tripp A, Wong TSB, Lazaro S, Thompson E, Maltz A, Storwick T, Beggs H, Szendrei-Temesi K, Lotsch BV, Kaplan CN, Visser CW, Brenner MP, Murthy VN, Aizenberg J. Nonequilibrium sensing of volatile compounds using active and passive analyte delivery. Proc Natl Acad Sci U S A 2023; 120:e2303928120. [PMID: 37494398 PMCID: PMC10400973 DOI: 10.1073/pnas.2303928120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 06/22/2023] [Indexed: 07/28/2023] Open
Abstract
Although sensor technologies have allowed us to outperform the human senses of sight, hearing, and touch, the development of artificial noses is significantly behind their biological counterparts. This largely stems from the sophistication of natural olfaction, which relies on both fluid dynamics within the nasal anatomy and the response patterns of hundreds to thousands of unique molecular-scale receptors. We designed a sensing approach to identify volatiles inspired by the fluid dynamics of the nose, allowing us to extract information from a single sensor (here, the reflectance spectra from a mesoporous one-dimensional photonic crystal) rather than relying on a large sensor array. By accentuating differences in the nonequilibrium mass-transport dynamics of vapors and training a machine learning algorithm on the sensor output, we clearly identified polar and nonpolar volatile compounds, determined the mixing ratios of binary mixtures, and accurately predicted the boiling point, flash point, vapor pressure, and viscosity of a number of volatile liquids, including several that had not been used for training the model. We further implemented a bioinspired active sniffing approach, in which the analyte delivery was performed in well-controlled 'inhale-exhale' sequences, enabling an additional modality of differentiation and reducing the duration of data collection and analysis to seconds. Our results outline a strategy to build accurate and rapid artificial noses for volatile compounds that can provide useful information such as the composition and physical properties of chemicals, and can be applied in a variety of fields, including disease diagnosis, hazardous waste management, and healthy building monitoring.
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Affiliation(s)
- Soeren Brandt
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA02134
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Ida Pavlichenko
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA02134
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Anna V. Shneidman
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA02134
| | - Haritosh Patel
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA02134
| | - Austin Tripp
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Timothy S. B. Wong
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Sean Lazaro
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Ethan Thompson
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Aubrey Maltz
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Thomas Storwick
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Holden Beggs
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
| | - Katalin Szendrei-Temesi
- Max Planck Institute for Solid State Research, Stuttgart70569, Germany
- Department of Chemistry, Ludwig-Maximilians-Universität München, München81377, Germany
| | - Bettina V. Lotsch
- Max Planck Institute for Solid State Research, Stuttgart70569, Germany
- Department of Chemistry, Ludwig-Maximilians-Universität München, München81377, Germany
| | - C. Nadir Kaplan
- Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, VA24061
- Center for Soft Matter and Biological Physics, Virginia Polytechnic Institute and State University, Blacksburg, VA24061
| | - Claas W. Visser
- Department of Thermal and Fluid Engineering, Faculty of Engineering Technology, University of Twente, Enschede7522 NB, Netherlands
| | - Michael P. Brenner
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA02134
| | - Venkatesh N. Murthy
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA02138
- Center for Brain Science, Harvard University, Cambridge, MA02138
| | - Joanna Aizenberg
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA02134
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA02138
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA02138
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Shahbazi Khamas S, Alizadeh Bahmani AH, Vijverberg SJ, Brinkman P, Maitland-van der Zee AH. Exhaled volatile organic compounds associated with risk factors for obstructive pulmonary diseases: a systematic review. ERJ Open Res 2023; 9:00143-2023. [PMID: 37650089 PMCID: PMC10463028 DOI: 10.1183/23120541.00143-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/21/2023] [Indexed: 09/01/2023] Open
Abstract
Background Asthma and COPD are among the most common respiratory diseases. To improve the early detection of exacerbations and the clinical course of asthma and COPD new biomarkers are needed. The development of noninvasive metabolomics of exhaled air into a point-of-care tool is an appealing option. However, risk factors for obstructive pulmonary diseases can potentially introduce confounding markers due to altered volatile organic compound (VOC) patterns being linked to these risk factors instead of the disease. We conducted a systematic review and presented a comprehensive list of VOCs associated with these risk factors. Methods A PRISMA-oriented systematic search was conducted across PubMed, Embase and Cochrane Libraries between 2000 and 2022. Full-length studies evaluating VOCs in exhaled breath were included. A narrative synthesis of the data was conducted, and the Newcastle-Ottawa Scale was used to assess the quality of included studies. Results The search yielded 2209 records and, based on the inclusion/exclusion criteria, 24 articles were included in the qualitative synthesis. In total, 232 individual VOCs associated with risk factors for obstructive pulmonary diseases were found; 58 compounds were reported more than once and 12 were reported as potential markers of asthma and/or COPD in other studies. Critical appraisal found that the identified studies were methodologically heterogeneous and had a variable risk of bias. Conclusion We identified a series of exhaled VOCs associated with risk factors for asthma and/or COPD. Identification of these VOCs is necessary for the further development of exhaled metabolites-based point-of-care tests in these obstructive pulmonary diseases.
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Affiliation(s)
- Shahriyar Shahbazi Khamas
- Department of Pulmonary Medicine, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Amir Hossein Alizadeh Bahmani
- Department of Pulmonary Medicine, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Susanne J.H. Vijverberg
- Department of Pulmonary Medicine, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Paul Brinkman
- Department of Pulmonary Medicine, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- These authors contributed equally
| | - Anke H. Maitland-van der Zee
- Department of Pulmonary Medicine, Amsterdam UMC location, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- These authors contributed equally
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Li J, Hannon A, Yu G, Idziak LA, Sahasrabhojanee A, Govindarajan P, Maldonado YA, Ngo K, Abdou JP, Mai N, Ricco AJ. Electronic Nose Development and Preliminary Human Breath Testing for Rapid, Non-Invasive COVID-19 Detection. ACS Sens 2023; 8:2309-2318. [PMID: 37224474 DOI: 10.1021/acssensors.3c00367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
We adapted an existing, spaceflight-proven, robust "electronic nose" (E-Nose) that uses an array of electrical resistivity-based nanosensors mimicking aspects of mammalian olfaction to conduct on-site, rapid screening for COVID-19 infection by measuring the pattern of sensor responses to volatile organic compounds (VOCs) in exhaled human breath. We built and tested multiple copies of a hand-held prototype E-Nose sensor system, composed of 64 chemically sensitive nanomaterial sensing elements tailored to COVID-19 VOC detection; data acquisition electronics; a smart tablet with software (App) for sensor control, data acquisition and display; and a sampling fixture to capture exhaled breath samples and deliver them to the sensor array inside the E-Nose. The sensing elements detect the combination of VOCs typical in breath at parts-per-billion (ppb) levels, with repeatability of 0.02% and reproducibility of 1.2%; the measurement electronics in the E-Nose provide measurement accuracy and signal-to-noise ratios comparable to benchtop instrumentation. Preliminary clinical testing at Stanford Medicine with 63 participants, their COVID-19-positive or COVID-19-negative status determined by concomitant RT-PCR, discriminated between these two categories of human breath with a 79% correct identification rate using "leave-one-out" training-and-analysis methods. Analyzing the E-Nose response in conjunction with body temperature and other non-invasive symptom screening using advanced machine learning methods, with a much larger database of responses from a wider swath of the population, is expected to provide more accurate on-the-spot answers. Additional clinical testing, design refinement, and a mass manufacturing approach are the main steps toward deploying this technology to rapidly screen for active infection in clinics and hospitals, public and commercial venues, or at home.
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Affiliation(s)
- Jing Li
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Ami Hannon
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | - George Yu
- Variable, Inc., Chattanooga, Tennessee 37406, United States
| | - Luke A Idziak
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | | | | | - Yvonne A Maldonado
- School of Medicine, Stanford University, Stanford, California 94305, United States
| | - Khoa Ngo
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | - John P Abdou
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Nghia Mai
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Antonio J Ricco
- NASA Ames Research Center, Moffett Field, California 94035, United States
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Schulz E, Woollam M, Grocki P, Davis MD, Agarwal M. Methods to Detect Volatile Organic Compounds for Breath Biopsy Using Solid-Phase Microextraction and Gas Chromatography-Mass Spectrometry. Molecules 2023; 28:molecules28114533. [PMID: 37299010 DOI: 10.3390/molecules28114533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Volatile organic compounds (VOCs) are byproducts from metabolic pathways that can be detected in exhaled breath and have been reported as biomarkers for different diseases. The gold standard for analysis is gas chromatography-mass spectrometry (GC-MS), which can be coupled with various sampling methods. The current study aims to develop and compare different methods for sampling and preconcentrating VOCs using solid-phase microextraction (SPME). An in-house sampling method, direct-breath SPME (DB-SPME), was developed to directly extract VOCs from breath using a SPME fiber. The method was optimized by exploring different SPME types, the overall exhalation volume, and breath fractionation. DB-SPME was quantitatively compared to two alternative methods involving the collection of breath in a Tedlar bag. In one method, VOCs were directly extracted from the Tedlar bag (Tedlar-SPME) and in the other, the VOCs were cryothermally transferred from the Tedlar bag to a headspace vial (cryotransfer). The methods were verified and quantitatively compared using breath samples (n = 15 for each method respectively) analyzed by GC-MS quadrupole time-of-flight (QTOF) for compounds including but not limited to acetone, isoprene, toluene, limonene, and pinene. The cryotransfer method was the most sensitive, demonstrating the strongest signal for the majority of the VOCs detected in the exhaled breath samples. However, VOCs with low molecular weights, including acetone and isoprene, were detected with the highest sensitivity using the Tedlar-SPME. On the other hand, the DB-SPME was less sensitive, although it was rapid and had the lowest background GC-MS signal. Overall, the three breath-sampling methods can detect a wide variety of VOCs in breath. The cryotransfer method may be optimal when collecting a large number of samples using Tedlar bags, as it allows the long-term storage of VOCs at low temperatures (-80 °C), while Tedlar-SPME may be more effective when targeting relatively small VOCs. The DB-SPME method may be the most efficient when more immediate analyses and results are required.
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Affiliation(s)
- Eray Schulz
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Mark Woollam
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Paul Grocki
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Michael D Davis
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Mangilal Agarwal
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA
- Department of Mechanical & Energy Engineering, Indiana University-Purdue University, Indianapolis, IN 46202, USA
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Matheson BT, Osofsky RB, Friedrichsen DM, Brooks BJ, Giacolone J, Khotan M, Shekarriz R, Pankratz VS, Lew EJ, Clark RM, Kanagy NL. A novel, microvascular evaluation method and device for early diagnosis of peripheral artery disease and chronic limb-threatening ischemia in individuals with diabetes. J Vasc Surg Cases Innov Tech 2023; 9:101101. [PMID: 37152916 PMCID: PMC10160786 DOI: 10.1016/j.jvscit.2023.101101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/22/2022] [Indexed: 05/09/2023] Open
Abstract
Objective A novel transdermal arterial gasotransmitter sensor (TAGS) has been tested as a diagnostic tool for lower limb microvascular disease in individuals with and without diabetes mellitus (DM). Methods The TAGS system noninvasively measures hydrogen sulfide (H2S) emitted from the skin. Measurements were made on the forearm and lower limbs of individuals from three cohorts, including subjects with DM and chronic limb-threatening ischemia, to evaluate skin microvascular integrity. These measurements were compared with diagnosis of peripheral artery disease (PAD) using the standard approach of the toe brachial index. Other measures of vascular health were made in some subjects including fasting blood glucose, hemoglobin A1c, plasma lipids, blood pressure, estimated glomerular filtration, and body mass index. Results The leg:arm ratio of H2S emissions correlated with risk factors for microvascular disease (ie, high-density lipoprotein levels, estimated glomerular filtration rate, systolic blood pressure, and hemoglobin A1c). The ratios were significantly lower in symptomatic DM subjects being treated for chronic limb-threatening ischemia (n = 8, 0.48 ± 0.21) compared with healthy controls (n = 5, 1.08 ± 0.30; P = .0001) and with asymptomatic DM subjects (n = 4, 0.79 ± 0.08; P = .0086). The asymptomatic DM group ratios were also significantly lower than the healthy controls (P = .0194). Using ratios of leg:arm transdermal H2S measurement (17 subjects, 34 ratios), the overall accuracy to identify limbs with severe PAD had an area under the curve of the receiver operating curve of 0.93. Conclusions Ratios of transdermal H2S measurements are lower in legs with impaired microvascular function, and the decrease in ratio precedes clinically apparent severe microvascular disease and diabetic ulcers. The TAGS instrument is a novel, sensitive tool that may aid in the early detection and monitoring of PAD complications and efforts for limb salvage.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Eric J. Lew
- School of Medicine, University of New Mexico, Albuquerque, NM
| | - Ross M. Clark
- School of Medicine, University of New Mexico, Albuquerque, NM
| | - Nancy L. Kanagy
- School of Medicine, University of New Mexico, Albuquerque, NM
- Correspondence: Nancy L. Kanagy, PhD, University of New Mexico, MSC 08-4750, 1 University of New Mexico, Albuquerque, NM 87131
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Tognetti A, Williams MN, Lybert N, Lekander M, Axelsson J, Olsson MJ. Humans can detect axillary odor cues of an acute respiratory infection in others. Evol Med Public Health 2023; 11:219-228. [PMID: 37426329 PMCID: PMC10324639 DOI: 10.1093/emph/eoad016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 05/05/2023] [Indexed: 07/11/2023] Open
Abstract
Background and objectives Body odor conveys information about health status to conspecifics and influences approach-avoidance behaviors in animals. Experiments that induce sickness in otherwise healthy individuals suggest that humans too can detect sensory cues to infection in others. Here, we investigated whether individuals could detect through smell a naturally occurring acute respiratory infection in others and whether sickness severity, measured via body temperature and sickness symptoms, was associated with the accuracy of detection. Methodology Body odor samples were collected from 20 donors, once while healthy and once while sick with an acute respiratory infection. Using a double-blind, two-alternative forced-choice method, 80 raters were instructed to identify the sick body odor from paired sick and healthy samples (i.e. 20 pairs). Results Sickness detection was significantly above chance, although the magnitude of the effect was low (56.7%). Raters' sex and disgust sensitivity were not associated with the accuracy of sickness detection. However, we find some indication that greater change in donor body temperature, but not sickness symptoms, between sick and healthy conditions improved sickness detection accuracy. Conclusion and implications Our findings suggest that humans can detect individuals with an acute respiratory infection through smell, albeit only slightly better than chance. Humans, similar to other animals, are likely able to use sickness odor cues to guide adaptive behaviors that decrease the risk of contagion, such as social avoidance. Further studies should determine how well humans can detect specific infections through body odor, such as Covid-19, and how multisensory cues to infection are used simultaneously.
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Affiliation(s)
- Arnaud Tognetti
- Corresponding author. Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Nobels väg 9, 171 77, Stockholm, Sweden; E-mail:
| | | | - Nathalie Lybert
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mats Lekander
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
- Osher Center for Integrative Health, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - John Axelsson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Mats J Olsson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Luo Y, Li J, Ding Q, Wang H, Liu C, Wu J. Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors. Nanomicro Lett 2023; 15:136. [PMID: 37225851 PMCID: PMC10209388 DOI: 10.1007/s40820-023-01109-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/13/2023] [Indexed: 05/26/2023]
Abstract
Breathing is an inherent human activity; however, the composition of the air we inhale and gas exhale remains unknown to us. To address this, wearable vapor sensors can help people monitor air composition in real time to avoid underlying risks, and for the early detection and treatment of diseases for home healthcare. Hydrogels with three-dimensional polymer networks and large amounts of water molecules are naturally flexible and stretchable. Functionalized hydrogels are intrinsically conductive, self-healing, self-adhesive, biocompatible, and room-temperature sensitive. Compared with traditional rigid vapor sensors, hydrogel-based gas and humidity sensors can directly fit human skin or clothing, and are more suitable for real-time monitoring of personal health and safety. In this review, current studies on hydrogel-based vapor sensors are investigated. The required properties and optimization methods of wearable hydrogel-based sensors are introduced. Subsequently, existing reports on the response mechanisms of hydrogel-based gas and humidity sensors are summarized. Related works on hydrogel-based vapor sensors for their application in personal health and safety monitoring are presented. Moreover, the potential of hydrogels in the field of vapor sensing is elucidated. Finally, the current research status, challenges, and future trends of hydrogel gas/humidity sensing are discussed.
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Affiliation(s)
- Yibing Luo
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Jianye Li
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Qiongling Ding
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Hao Wang
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Chuan Liu
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Jin Wu
- State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
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Toda M, Ono T, Okubo J. Metal-Multilayered Nanomechanical Cantilever Sensor for Detection of Molecular Adsorption. Biosensors (Basel) 2023; 13:573. [PMID: 37366938 DOI: 10.3390/bios13060573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/14/2023] [Accepted: 05/21/2023] [Indexed: 06/28/2023]
Abstract
A metal-multilayered nanomechanical cantilever sensor was proposed to reduce the temperature effect for highly sensitive gas molecular detection. The multilayer structure of the sensor reduces the bimetallic effect, allowing for the detection of differences in molecular adsorption properties on various metal surfaces with higher sensitivity. Our results indicate that the sensor exhibits higher sensitivity to molecules with greater polarity under mixed conditions with nitrogen gas. We demonstrate that stress changes caused by differences in molecular adsorption on different metal surfaces can be detected and that this approach could be used to develop a gas sensor with selectivity for specific gas species.
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Affiliation(s)
- Masaya Toda
- Department of Mechanical Systems Engineering, Tohoku University, Sendai 980-8579, Japan
| | - Takahito Ono
- Department of Mechanical Systems Engineering, Tohoku University, Sendai 980-8579, Japan
| | - Jun Okubo
- Department of Mechanical Systems Engineering, Tohoku University, Sendai 980-8579, Japan
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39
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Yang S, Muthalagu A, Serrano VG, Licina D. Human personal air pollution clouds in a naturally ventilated office during the COVID-19 pandemic. Build Environ 2023; 236:110280. [PMID: 37064616 PMCID: PMC10080864 DOI: 10.1016/j.buildenv.2023.110280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 03/31/2023] [Accepted: 04/05/2023] [Indexed: 05/03/2023]
Abstract
Personal cloud, termed as the difference in air pollutant concentrations between breathing zone and room sites, represents the bias in approximating personal inhalation exposure that is linked to accuracy of health risk assessment. This study performed a two-week field experiment in a naturally ventilated office during the COVID-19 pandemic to assess occupants' exposure to common air pollutants and to determine factors contributing to the personal cloud effect. During occupied periods, indoor average concentrations of endotoxin (0.09 EU/m3), TVOC (231 μg/m3), CO2 (630 ppm), and PM10 (14 μg/m3) were below the recommended limits, except for formaldehyde (58 μg/m3). Personal exposure concentrations, however, were significantly different from, and mostly higher than, concentrations measured at room stationary sampling sites. Although three participants shared the same office, their personal air pollution clouds were mutually distinct. The mean personal cloud magnitude ranged within 0-0.05 EU/m3, 35-192 μg/m3, 32-120 ppm, and 4-9 μg/m3 for endotoxin, TVOC, CO2, and PM10, respectively, and was independent from room concentrations. The use of hand sanitizer was strongly associated with an elevated personal cloud of endotoxin and alcohol-based VOCs. Reduced occupancy density in the office resulted in more pronounced personal CO2 clouds. The representativeness of room stationary sampling for capturing dynamic personal exposures was as low as 28% and 5% for CO2 and PM10, respectively. The findings of our study highlight the necessity of considering the personal cloud effect when assessing personal exposure in offices.
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Affiliation(s)
- Shen Yang
- Human-Oriented Built Environment Lab, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Akila Muthalagu
- Human-Oriented Built Environment Lab, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Environmental Systems Group, Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, India
| | - Viviana González Serrano
- Human-Oriented Built Environment Lab, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Dusan Licina
- Human-Oriented Built Environment Lab, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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40
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Issitt T, Reilly M, Sweeney ST, Brackenbury WJ, Redeker KR. GC/MS analysis of hypoxic volatile metabolic markers in the MDA-MB-231 breast cancer cell line. Front Mol Biosci 2023; 10:1178269. [PMID: 37251079 PMCID: PMC10210155 DOI: 10.3389/fmolb.2023.1178269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Hypoxia in disease describes persistent low oxygen conditions, observed in a range of pathologies, including cancer. In the discovery of biomarkers in biological models, pathophysiological traits present a source of translatable metabolic products for the diagnosis of disease in humans. Part of the metabolome is represented by its volatile, gaseous fraction; the volatilome. Human volatile profiles, such as those found in breath, are able to diagnose disease, however accurate volatile biomarker discovery is required to target reliable biomarkers to develop new diagnostic tools. Using custom chambers to control oxygen levels and facilitate headspace sampling, the MDA-MB-231 breast cancer cell line was exposed to hypoxia (1% oxygen) for 24 h. The maintenance of hypoxic conditions in the system was successfully validated over this time period. Targeted and untargeted gas chromatography mass spectrometry approaches revealed four significantly altered volatile organic compounds when compared to control cells. Three compounds were actively consumed by cells: methyl chloride, acetone and n-Hexane. Cells under hypoxia also produced significant amounts of styrene. This work presents a novel methodology for identification of volatile metabolisms under controlled gas conditions with novel observations of volatile metabolisms by breast cancer cells.
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Affiliation(s)
- Theo Issitt
- Department of Biology, University of York, York, United Kingdom
- York Biomedical Research Institute, University of York, York, United Kingdom
| | - Matthew Reilly
- Department of Biology, University of York, York, United Kingdom
| | - Sean T. Sweeney
- Department of Biology, University of York, York, United Kingdom
- York Biomedical Research Institute, University of York, York, United Kingdom
| | - William J. Brackenbury
- Department of Biology, University of York, York, United Kingdom
- York Biomedical Research Institute, University of York, York, United Kingdom
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41
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Squara S, Caratti A, Fina A, Liberto E, Spigolon N, Genova G, Castello G, Cincera I, Bicchi C, Cordero C. Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessment. J Chromatogr A 2023; 1700:464041. [PMID: 37150088 DOI: 10.1016/j.chroma.2023.464041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/18/2023] [Accepted: 04/28/2023] [Indexed: 05/09/2023]
Abstract
Effective investigation of food volatilome by comprehensive two-dimensional gas chromatography with parallel detection by mass spectrometry and flame ionization detector (GC×GC-MS/FID) gives access to valuable information related to industrial quality. However, without accurate quantitative data, results transferability over time and across laboratories is prevented. The study applies quantitative volatilomics by multiple headspace solid phase microextraction (MHS-SPME) to a large selection of hazelnut samples (Corylus avellana L. n = 207) representing the top-quality selection of interest for the confectionery industry. By untargeted and targeted fingerprinting, performant classification models validate the role of chemical patterns strongly correlated to quality parameters (i.e., botanical/geographical origin, post-harvest practices, storage time and conditions). By quantification of marker analytes, Artificial Intelligence (AI) tools are derived: the augmented smelling based on sensomics with blueprint related to key-aroma compounds and spoilage odorant; decision-makers for rancidity level and storage quality; origin tracers. By reliable quantification AI can be applied with confidence and could be the driver for industrial strategies.
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Affiliation(s)
- Simone Squara
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Andrea Caratti
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Angelica Fina
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Nicola Spigolon
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | - Giuseppe Genova
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | | | - Irene Cincera
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy.
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van Raaij BFM, Veltman JD, Hameete JF, Stöger JL, Geelhoed JJM. Diagnostic performance of eNose technology in COVID-19 patients after hospitalization. BMC Pulm Med 2023; 23:134. [PMID: 37081422 PMCID: PMC10117233 DOI: 10.1186/s12890-023-02407-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/31/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND Volatile organic compounds (VOCs) produced by human cells reflect metabolic and pathophysiological processes which can be detected with the use of electronic nose (eNose) technology. Analysis of exhaled breath may potentially play an important role in diagnosing COVID-19 and stratification of patients based on pulmonary function or chest CT. METHODS Breath profiles of COVID-19 patients were collected with an eNose device (SpiroNose) 3 months after discharge from the Leiden University Medical Centre and matched with breath profiles from healthy individuals for analysis. Principal component analysis was performed with leave-one-out cross validation and visualised with receiver operating characteristics. COVID-19 patients were stratified in subgroups with a normal pulmonary diffusion capacity versus patients with an impaired pulmonary diffusion capacity (DLCOc < 80% of predicted) and in subgroups with a normal chest CT versus patients with COVID-19 related chest CT abnormalities. RESULTS The breath profiles of 135 COVID-19 patients were analysed and matched with 174 healthy controls. The SpiroNose differentiated between COVID-19 after hospitalization and healthy controls with an AUC of 0.893 (95-CI, 0.851-0.934). There was no difference in VOCs patterns in subgroups of COVID-19 patients based on diffusion capacity or chest CT. CONCLUSIONS COVID-19 patients have a breath profile distinguishable from healthy individuals shortly after hospitalization which can be detected using eNose technology. This may suggest ongoing inflammation or a common repair mechanism. The eNose could not differentiate between subgroups of COVID-19 patients based on pulmonary diffusion capacity or chest CT.
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Affiliation(s)
- B F M van Raaij
- Department of Internal Medicine, Section of Geriatrics and Gerontology, Leiden University Medical Centre, Albinusdreef 2, 2333ZA, Leiden, Netherlands.
| | - J D Veltman
- Department of Pulmonary Diseases, Amsterdam University Medical Centre, Amsterdam, Netherlands
| | - J F Hameete
- Department of Pulmonary Diseases, Leiden University Medical Centre, Leiden, Netherlands
| | - J L Stöger
- Department of Radiology, Leiden University Medical Centre, Leiden, Netherlands
| | - J J M Geelhoed
- Department of Pulmonary Diseases, Leiden University Medical Centre, Leiden, Netherlands
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Bhandari MP, Polaka I, Vangravs R, Mezmale L, Veliks V, Kirshners A, Mochalski P, Dias-Neto E, Leja M. Volatile Markers for Cancer in Exhaled Breath-Could They Be the Signature of the Gut Microbiota? Molecules 2023; 28:molecules28083488. [PMID: 37110724 PMCID: PMC10141340 DOI: 10.3390/molecules28083488] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
It has been shown that the gut microbiota plays a central role in human health and disease. A wide range of volatile metabolites present in exhaled breath have been linked with gut microbiota and proposed as a non-invasive marker for monitoring pathological conditions. The aim of this study was to examine the possible correlation between volatile organic compounds (VOCs) in exhaled breath and the fecal microbiome by multivariate statistical analysis in gastric cancer patients (n = 16) and healthy controls (n = 33). Shotgun metagenomic sequencing was used to characterize the fecal microbiota. Breath-VOC profiles in the same participants were identified by an untargeted gas chromatography-mass spectrometry (GC-MS) technique. A multivariate statistical approach involving a canonical correlation analysis (CCA) and sparse principal component analysis identified the significant relationship between the breath VOCs and fecal microbiota. This relation was found to differ between gastric cancer patients and healthy controls. In 16 cancer cases, 14 distinct metabolites identified from the breath belonging to hydrocarbons, alcohols, aromatics, ketones, ethers, and organosulfur compounds were highly correlated with 33 fecal bacterial taxa (correlation of 0.891, p-value 0.045), whereas in 33 healthy controls, 7 volatile metabolites belonging to alcohols, aldehydes, esters, phenols, and benzamide derivatives correlated with 17 bacterial taxa (correlation of 0.871, p-value 0.0007). This study suggested that the correlation between fecal microbiota and breath VOCs was effective in identifying exhaled volatile metabolites and the functional effects of microbiome, thus helping to understand cancer-related changes and improving the survival and life expectancy in gastric cancer patients.
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Affiliation(s)
| | - Inese Polaka
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia
| | - Reinis Vangravs
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia
| | - Linda Mezmale
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia
- Riga East University Hospital, LV-1038 Riga, Latvia
- Faculty of Residency, Riga Stradins University, LV-1007 Riga, Latvia
| | - Viktors Veliks
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia
| | - Arnis Kirshners
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia
| | - Pawel Mochalski
- Institute of Chemistry, Jan Kochanowski University of Kielce, PL-25406 Kielce, Poland
- Institute for Breath Research, University of Innsbruck, A-6850 Dornbirn, Austria
| | - Emmanuel Dias-Neto
- Laboratory of Medical Genomics, A.C.Camargo Cancer Center, Sao Paulo 01508-010, Brazil
| | - Marcis Leja
- Institute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia
- Digestive Diseases Center GASTRO, LV-1079 Riga, Latvia
- Faculty of Medicine, University of Latvia, LV-1586 Riga, Latvia
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Pelling M, Chandrapalan S, West E, Arasaradnam RP. A Systematic Review and Meta-Analysis: Volatile Organic Compound Analysis in the Detection of Hepatobiliary and Pancreatic Cancers. Cancers (Basel) 2023; 15:cancers15082308. [PMID: 37190235 DOI: 10.3390/cancers15082308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Hepatobiliary cancers are notoriously difficult to detect, frequently leading to diagnosis in later stages of disease when curative treatment is not an option. The currently used biomarkers such as AFP (alpha-fetoprotein) and CA19.9 lack sensitivity and specificity. Hence, there is an unmet need for an alternative biomarker. AIM To evaluate the diagnostic accuracy of volatile organic compounds (VOCs) for the detection of hepatobiliary and pancreatic cancers. METHODS A systematic review of VOCs' use in the detection of hepatobiliary and pancreatic cancers was performed. A meta-analysis was performed using the software R. Heterogeneity was explored through meta-regression analysis. RESULTS A total of 18 studies looking at 2296 patients were evaluated. Pooled sensitivity and specificity of VOCs for the detection of hepatobiliary and pancreatic cancer were 0.79 (95% CI, 0.72-0.85) and 0.81 (97.5% CI, 0.76-0.85), respectively. The area under the curve was 0.86. Meta-regression analysis showed that the sample media used contributed to heterogeneity. Bile-based VOCs showed the highest precision values, although urine and breath are preferred for their feasibility. CONCLUSIONS Volatile organic compounds have the potential to be used as an adjunct tool to aid in the early diagnosis of hepatobiliary cancers.
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Affiliation(s)
- Melina Pelling
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | | | - Emily West
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Ramesh P Arasaradnam
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
- Department of Gastroenterology, University Hospital of Coventry and Warwickshire, Coventry CV2 2DX, UK
- Health, Biological & Experimental Sciences, University of Coventry, Coventry CV1 5FB, UK
- School of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
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45
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Einoch Amor R, Levy J, Broza YY, Vangravs R, Rapoport S, Zhang M, Wu W, Leja M, Behar JA, Haick H. Liquid Biopsy-Based Volatile Organic Compounds from Blood and Urine and Their Combined Data Sets for Highly Accurate Detection of Cancer. ACS Sens 2023; 8:1450-1461. [PMID: 36926819 DOI: 10.1021/acssensors.2c02422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Liquid biopsy is seen as a prospective tool for cancer screening and tracking. However, the difficulty lies in effectively sieving, isolating, and overseeing cancer biomarkers from the backdrop of multiple disrupting cells and substances. The current study reports on the ability to perform liquid biopsy without the need to physically filter and/or isolate the cancer cells per se. This has been achieved through the detection and classification of volatile organic compounds (VOCs) emitted from the cancer cells found in the headspace of blood or urine samples or a combined data set of both. Spectrometric analysis shows that blood and urine contain complementary or overlapping VOC information on kidney cancer, gastric cancer, lung cancer, and fibrogastroscopy subjects. Based on this information, a nanomaterial-based chemical sensor array in conjugation with machine learning as well as data fusion of the signals achieved was carried out on various body fluids to assess the VOC profiles of cancer. The detection of VOC patterns by either Gas Chromatography-Mass Spectrometry (GC-MS) analysis or our sensor array achieved >90% accuracy, >80% sensitivity, and >80% specificity in different binary classification tasks. The hybrid approach, namely, analyzing the VOC datasets of blood and urine together, contributes an additional discrimination ability to the improvement (>3%) of the model's accuracy. The contribution of the hybrid approach for an additional discrimination ability to the improvement of the model's accuracy is examined and reported.
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Affiliation(s)
- Reef Einoch Amor
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Jeremy Levy
- The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Reinis Vangravs
- Institute of Clinical and Preventive Medicine & Faculty of Medicine, University of Latvia, Riga LV-1004, Latvia.,Department of Research, Riga East University Hospital, Digestive Diseases Centre GASTRO, Riga 1586, Latvia
| | - Shelley Rapoport
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Min Zhang
- School of Chemistry and Molecular Engineering, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China
| | - Weiwei Wu
- School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Shaanxi 710126, P.R. China
| | - Marcis Leja
- Institute of Clinical and Preventive Medicine & Faculty of Medicine, University of Latvia, Riga LV-1004, Latvia.,Department of Research, Riga East University Hospital, Digestive Diseases Centre GASTRO, Riga 1586, Latvia
| | - Joachim A Behar
- The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
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46
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Liu J, Zhang R, Xiong J. Machine learning approach for estimating the human-related VOC emissions in a university classroom. Build Simul 2023; 16:915-925. [PMID: 37192916 PMCID: PMC10009360 DOI: 10.1007/s12273-022-0976-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/17/2022] [Accepted: 12/06/2022] [Indexed: 05/18/2023]
Abstract
Indoor air quality becomes increasingly important, partly because the COVID-19 pandemic increases the time people spend indoors. Research into the prediction of indoor volatile organic compounds (VOCs) is traditionally confined to building materials and furniture. Relatively little research focuses on estimation of human-related VOCs, which have been shown to contribute significantly to indoor air quality, especially in densely-occupied environments. This study applies a machine learning approach to accurately estimate the human-related VOC emissions in a university classroom. The time-resolved concentrations of two typical human-related (ozone-related) VOCs in the classroom over a five-day period were analyzed, i.e., 6-methyl-5-hepten-2-one (6-MHO), 4-oxopentanal (4-OPA). By comparing the results for 6-MHO concentration predicted via five machine learning approaches including the random forest regression (RFR), adaptive boosting (Adaboost), gradient boosting regression tree (GBRT), extreme gradient boosting (XGboost), and least squares support vector machine (LSSVM), we find that the LSSVM approach achieves the best performance, by using multi-feature parameters (number of occupants, ozone concentration, temperature, relative humidity) as the input. The LSSVM approach is then used to predict the 4-OPA concentration, with mean absolute percentage error (MAPE) less than 5%, indicating high accuracy. By combining the LSSVM with a kernel density estimation (KDE) method, we further establish an interval prediction model, which can provide uncertainty information and viable option for decision-makers. The machine learning approach in this study can easily incorporate the impact of various factors on VOC emission behaviors, making it especially suitable for concentration prediction and exposure assessment in realistic indoor settings.
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Affiliation(s)
- Jialong Liu
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081 China
| | - Rui Zhang
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081 China
| | - Jianyin Xiong
- School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081 China
- Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720 USA
- State Key Laboratory of Green Building in Western China, Xi’an University of Architecture and Technology, Xi’an, 710055 China
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Pérez-Jiménez M, Sherman E, Ángeles Pozo-Bayón M, Muñoz-González C, Pinu FR. Application of untargeted volatile profiling to investigate the fate of aroma compounds during wine oral processing. Food Chem 2023; 403:134307. [DOI: 10.1016/j.foodchem.2022.134307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 08/02/2022] [Accepted: 09/14/2022] [Indexed: 10/14/2022]
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48
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Sani SN, Zhou W, Ismail BB, Zhang Y, Chen Z, Zhang B, Bao C, Zhang H, Wang X. LC-MS/MS Based Volatile Organic Compound Biomarkers Analysis for Early Detection of Lung Cancer. Cancers (Basel) 2023; 15:cancers15041186. [PMID: 36831528 PMCID: PMC9954752 DOI: 10.3390/cancers15041186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/15/2023] Open
Abstract
(1) Background: lung cancer is the world's deadliest cancer, but early diagnosis helps to improve the cure rate and thus reduce the mortality rate. Annual low-dose computed tomography (LD-CT) screening is an efficient lung cancer-screening program for a high-risk population. However, LD-CT has often been characterized by a higher degree of false-positive results. To meet these challenges, a volatolomic approach, in particular, the breath volatile organic compounds (VOCs) fingerprint analysis, has recently received increased attention for its application in early lung cancer screening thanks to its convenience, non-invasiveness, and being well tolerated by patients. (2) Methods: a LC-MS/MS-based volatolomics analysis was carried out according to P/N 5046800 standard based breath analysis of VOC as novel cancer biomarkers for distinguishing early-stage lung cancer from the healthy control group. The discriminatory accuracy of identified VOCs was assessed using subject work characterization and a random forest risk prediction model. (3) Results: the proposed technique has good performance compared with existing approaches, the differences between the exhaled VOCs of the early lung cancer patients before operation, three to seven days after the operation, as well as four to six weeks after operation under fasting and 1 h after the meal were compared with the healthy controls. The results showed that only 1 h after a meal, the concentration of seven VOCs, including 3-hydroxy-2-butanone (TG-4), glycolaldehyde (TG-7), 2-pentanone (TG-8), acrolein (TG-11), nonaldehyde (TG-19), decanal (TG-20), and crotonaldehyde (TG-22), differ significantly between lung cancer patients and control, with the invasive adenocarcinoma of the lung (IAC) having the most significant difference. (4) Conclusions: this novel, non-invasive approach can improve the detection rate of early lung cancer, and LC-MS/MS-based breath analysis could be a promising method for clinical application.
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Affiliation(s)
- Shuaibu Nazifi Sani
- College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China
| | - Wei Zhou
- Biochemical Analysis Laboratory, Breath (Hangzhou) Technology Co., Ltd., Hangzhou 310000, China
| | - Balarabe B. Ismail
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | | | - Zhijun Chen
- Zhejiang Zhoushan Hospital, Zhoushan 316021, China
| | - Binjie Zhang
- Zhejiang Zhoushan Hospital, Zhoushan 316021, China
| | - Changqian Bao
- Department of Hematology, The Second Affiliated Hospital, College of Medicine Zhejiang University, Hangzhou 310009, China
| | - Houde Zhang
- Department Gastroenterology, Nanshan Hospital, Guandong Medical University, Shenzhen 518052, China
- Correspondence: (H.Z.); (X.W.)
| | - Xiaozhi Wang
- College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China
- Correspondence: (H.Z.); (X.W.)
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49
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Escobar V, Scaramozzino N, Vidic J, Buhot A, Mathey R, Chaix C, Hou Y. Recent Advances on Peptide-Based Biosensors and Electronic Noses for Foodborne Pathogen Detection. Biosensors (Basel) 2023; 13:bios13020258. [PMID: 36832024 PMCID: PMC9954637 DOI: 10.3390/bios13020258] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 05/26/2023]
Abstract
Foodborne pathogens present a serious issue around the world due to the remarkably high number of illnesses they cause every year. In an effort to narrow the gap between monitoring needs and currently implemented classical detection methodologies, the last decades have seen an increased development of highly accurate and reliable biosensors. Peptides as recognition biomolecules have been explored to develop biosensors that combine simple sample preparation and enhanced detection of bacterial pathogens in food. This review first focuses on the selection strategies for the design and screening of sensitive peptide bioreceptors, such as the isolation of natural antimicrobial peptides (AMPs) from living organisms, the screening of peptides by phage display and the use of in silico tools. Subsequently, an overview on the state-of-the-art techniques in the development of peptide-based biosensors for foodborne pathogen detection based on various transduction systems was given. Additionally, limitations in classical detection strategies have led to the development of innovative approaches for food monitoring, such as electronic noses, as promising alternatives. The use of peptide receptors in electronic noses is a growing field and the recent advances of such systems for foodborne pathogen detection are presented. All these biosensors and electronic noses are promising alternatives for the pathogen detection with high sensitivity, low cost and rapid response, and some of them are potential portable devices for on-site analyses.
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Affiliation(s)
- Vanessa Escobar
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
- Grenoble Alpes University, CNRS, LIPhy, 38000 Grenoble, France
| | | | - Jasmina Vidic
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Arnaud Buhot
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
| | - Raphaël Mathey
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
| | - Carole Chaix
- Institute of Analytical Sciences, University of Lyon, CNRS, Claude Bernard Lyon 1 University, UMR 5280, 69100 Villeurbanne, France
| | - Yanxia Hou
- Grenoble Alpes University, CEA, CNRS, IRIG-SyMMES, 17 Rue des Martyrs, 38000 Grenoble, France
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50
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Kiss H, Örlős Z, Gellért Á, Megyesfalvi Z, Mikáczó A, Sárközi A, Vaskó A, Miklós Z, Horváth I. Exhaled Biomarkers for Point-of-Care Diagnosis: Recent Advances and New Challenges in Breathomics. Micromachines (Basel) 2023; 14:391. [PMID: 36838091 PMCID: PMC9964519 DOI: 10.3390/mi14020391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/29/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Cancers, chronic diseases and respiratory infections are major causes of mortality and present diagnostic and therapeutic challenges for health care. There is an unmet medical need for non-invasive, easy-to-use biomarkers for the early diagnosis, phenotyping, predicting and monitoring of the therapeutic responses of these disorders. Exhaled breath sampling is an attractive choice that has gained attention in recent years. Exhaled nitric oxide measurement used as a predictive biomarker of the response to anti-eosinophil therapy in severe asthma has paved the way for other exhaled breath biomarkers. Advances in laser and nanosensor technologies and spectrometry together with widespread use of algorithms and artificial intelligence have facilitated research on volatile organic compounds and artificial olfaction systems to develop new exhaled biomarkers. We aim to provide an overview of the recent advances in and challenges of exhaled biomarker measurements with an emphasis on the applicability of their measurement as a non-invasive, point-of-care diagnostic and monitoring tool.
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Affiliation(s)
- Helga Kiss
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Zoltán Örlős
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Áron Gellért
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Zsolt Megyesfalvi
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Angéla Mikáczó
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
| | - Anna Sárközi
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
| | - Attila Vaskó
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
| | - Zsuzsanna Miklós
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
| | - Ildikó Horváth
- National Koranyi Institute for Pulmonology, Koranyi F Street 1, 1121 Budapest, Hungary
- Department of Pulmonology, University of Debrecen, Nagyerdei krt 98, 4032 Debrecen, Hungary
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