1
|
Liu X, Xie R, Li K, Zhu Z, Huang X, He Q, Sun Z, He H, Ge Y, Zhang Q, Chen H, Wang Y. On-mask detection of SARS-CoV-2 related substances by surface enhanced Raman scattering. Talanta 2024; 277:126403. [PMID: 38878511 DOI: 10.1016/j.talanta.2024.126403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 05/16/2024] [Accepted: 06/09/2024] [Indexed: 07/19/2024]
Abstract
We have developed a convenient surface-enhanced Raman scattering (SERS) platform based on vertical standing gold nanowires (v-AuNWs) which enabled the on-mask detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) related substances such as the Spike-1 protein and the corresponding pseudo-virus. The Spike-1 protein was clearly distinguished from BSA protein with an accuracy above 99 %, and the detection limit could be achieved down to 0.01 μg/mL. Notably, a similar accuracy was achieved for the pseudo-SARS-CoV-2 (pSARS-2) virus as compared to the pseudo-influenza H7N9 (pH7N9) virus. The sensing strategy and setups could be easily adapted to the real SARS-CoV-2 virus and other highly contagious viruses. It provided a promising way to screen the virus carriers by a fast evaluation of their wearing v-AuNWs integrated face-mask which was mandatory during the pandemic.
Collapse
Affiliation(s)
- Xiaohu Liu
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China; Wenzhou Institute, University of Chinese Academy of Sciences, Jinlian Road 1, Wenzhou, 325001, China
| | - Ruifeng Xie
- School of Optoelectronic Engineering, Changchun University of Science and Technology, Weixing Road 7089, Changchun, 130013, China
| | - Kang Li
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China
| | - Zhelei Zhu
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China
| | - Xi Huang
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China
| | - Qian He
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China
| | - Zhe Sun
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China
| | - Haiyang He
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China
| | - Yuancai Ge
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China; Wenzhou Institute, University of Chinese Academy of Sciences, Jinlian Road 1, Wenzhou, 325001, China
| | - Qingwen Zhang
- Wenzhou Institute, University of Chinese Academy of Sciences, Jinlian Road 1, Wenzhou, 325001, China
| | - Hu Chen
- School of Materials Science and Engineering, Hunan Institute of Technology, Henghua Road 18, Hengyang, 421002, China.
| | - Yi Wang
- National Engineering Research Center of Ophthalmology and Optometry, School of Biomedical Engineering, Eye Hospital, Wenzhou Medical University, Xueyuan Road 270, Wenzhou, 325027, China; Wenzhou Institute, University of Chinese Academy of Sciences, Jinlian Road 1, Wenzhou, 325001, China; School of Optoelectronic Engineering, Changchun University of Science and Technology, Weixing Road 7089, Changchun, 130013, China.
| |
Collapse
|
2
|
Heng W, Yin S, Min J, Wang C, Han H, Shirzaei Sani E, Li J, Song Y, Rossiter HB, Gao W. A smart mask for exhaled breath condensate harvesting and analysis. Science 2024; 385:954-961. [PMID: 39208112 DOI: 10.1126/science.adn6471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/31/2024] [Accepted: 07/17/2024] [Indexed: 09/04/2024]
Abstract
Recent respiratory outbreaks have garnered substantial attention, yet most respiratory monitoring remains confined to physical signals. Exhaled breath condensate (EBC) harbors rich molecular information that could unveil diverse insights into an individual's health. Unfortunately, challenges related to sample collection and the lack of on-site analytical tools impede the widespread adoption of EBC analysis. Here, we introduce EBCare, a mask-based device for real-time in situ monitoring of EBC biomarkers. Using a tandem cooling strategy, automated microfluidics, highly selective electrochemical biosensors, and a wireless reading circuit, EBCare enables continuous multimodal monitoring of EBC analytes across real-life indoor and outdoor activities. We validated EBCare's usability in assessing metabolic conditions and respiratory airway inflammation in healthy participants, patients with chronic obstructive pulmonary disease or asthma, and patients after COVID-19 infection.
Collapse
Affiliation(s)
- Wenzheng Heng
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Shukun Yin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Canran Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Hong Han
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Ehsan Shirzaei Sani
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jiahong Li
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Yu Song
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Harry B Rossiter
- Division of Respiratory and Critical Care Physiology and Medicine, Institute for Respiratory Medicine and Exercise Physiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| |
Collapse
|
3
|
Gutiérrez-Gálvez L, Seddaoui N, Fiore L, Fabiani L, García-Mendiola T, Lorenzo E, Arduini F. Functionalized N95 Face Mask with a Chemical-Free Paper-Based Collector for Exhaled Breath Analysis: SARS-CoV-2 Detection with a Printed Immunosensor as a Case Study. ACS Sens 2024; 9:4047-4057. [PMID: 39093722 DOI: 10.1021/acssensors.4c00981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Exhaled breath electrochemical sensing is a promising biomedical technology owing to its portability, painlessness, cost-effectiveness, and user-friendliness. Here, we present a novel approach for target analysis in exhaled breath by integrating a comfortable paper-based collector into an N95 face mask, providing a universal solution for analyzing several biomarkers. As a model analyte, we detected SARS-CoV-2 spike protein from the exhaled breath by sampling the target analyte into the collector, followed by its detection out of the N95 face mask using a magnetic bead-based electrochemical immunosensor. This approach was designed to avoid any contact between humans and the chemicals. To simulate human exhaled breath, untreated saliva samples were nebulized on the paper collector, revealing a detection limit of 1 ng/mL and a wide linear range of 3.7-10,000 ng/mL. Additionally, the developed immunosensor exhibited high selectivity toward the SARS-CoV-2 spike protein, compared to other airborne microorganisms, and the SARS-CoV-2 nucleocapsid protein. Accuracy assessments were conducted by analyzing the simulated breath samples spiked with varying concentrations of SARS-CoV-2 spike protein, resulting in satisfactory recovery values (ranging from 97 ± 4 to 118 ± 1%). Finally, the paper-based hybrid immunosensor was successfully applied for the detection of SARS-CoV-2 in real human exhaled breath samples. The position of the collector in the N95 mask was evaluated as well as the ability of this paper-based analytical tool to identify the positive patient.
Collapse
Affiliation(s)
- Laura Gutiérrez-Gálvez
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Narjiss Seddaoui
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
| | - Luca Fiore
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
- SENSE4MED S.R.L, Via Bitonto 139, Rome 00133, Italy
| | - Laura Fabiani
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
| | - Tania García-Mendiola
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid, Madrid 28049, Spain
- Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Encarnación Lorenzo
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid, Madrid 28049, Spain
- Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Madrid 28049, Spain
- IMDEA-Nanociencia. Ciudad Universitaria de Cantoblanco, Madrid 28049, Spain
| | - Fabiana Arduini
- Department of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, Rome 00133, Italy
- SENSE4MED S.R.L, Via Bitonto 139, Rome 00133, Italy
| |
Collapse
|
4
|
Allegretto JA, Dostalek J. Metal-Organic Frameworks in Surface Enhanced Raman Spectroscopy-Based Analysis of Volatile Organic Compounds. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2401437. [PMID: 38868917 PMCID: PMC11321619 DOI: 10.1002/advs.202401437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 05/03/2024] [Indexed: 06/14/2024]
Abstract
Volatile Organic Compounds (VOC) are a major class of environmental pollutants hazardous to human health, but also highly relevant in other fields including early disease diagnostics and organoleptic perception of aliments. Therefore, accurate analysis of VOC is essential, and a need for new analytical methods is witnessed for rapid on-site detection without complex sample preparation. Surface-Enhanced Raman Spectroscopy (SERS) offers a rapidly developing versatile analytical platform for the portable detection of chemical species. Nonetheless, the need for efficient docking of target analytes at the metallic surface significantly narrows the applicability of SERS. This limitation can be circumvented by interfacing the sensor surface with Metal-Organic Frameworks (MOF). These materials featuring chemical and structural versatility can efficiently pre-concentrate low molecular weight species such as VOC through their ordered porous structure. This review presents recent trends in the development of MOF-based SERS substrates with a focus on elucidating respective design rules for maximizing analytical performance. An overview of the status of the detection of harmful VOC is discussed in the context of industrial and environmental monitoring. In addition, a survey of the analysis of VOC biomarkers for medical diagnosis and emerging applications in aroma and flavor profiling is included.
Collapse
Affiliation(s)
- Juan A. Allegretto
- Laboratory for Life Sciences and Technology (LiST), Department of Medicine, Faculty of Medicine and DentistryDanube Private UniversityKrems3500Austria
| | - Jakub Dostalek
- Laboratory for Life Sciences and Technology (LiST), Department of Medicine, Faculty of Medicine and DentistryDanube Private UniversityKrems3500Austria
- FZU‐Institute of PhysicsCzech Academy of SciencesNa Slovance 2Prague82021Czech Republic
| |
Collapse
|
5
|
Chen C, Liu J, Lu J, Wang Y, Zhai J, Zhao H, Lu N. In Situ Collection and SERS Detection of Nitrite in Exhalations on Facemasks Based on Wettability Differences. ACS Sens 2024; 9:3680-3688. [PMID: 38958469 DOI: 10.1021/acssensors.4c00857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
As one of the common carriers of biological information, along with human urine specimens and blood, exhaled breath condensate (EBC) carries reliable and rich information about the body's metabolism to track human physiological normal/abnormal states and environmental exposures. What is more, EBC has gained extensive attention because of the convenient and nondestructive sampling. Facemasks, which act as a physical filter barrier between human exhaled breath and inhaled substances from the external environment, are safe, noninvasive, and economic devices for direct sampling of human exhaled breath and inhaled substances. Inspired by the ability of fog collection of Namib desert beetle, a strategy for in situ collecting and detecting EBC with surface-enhanced Raman scattering is illustrated. Based on the intrinsic and unique wettability differences between the squares and the surrounding area of the pattern on facemasks, the hydrophilic squares can capture exhaled droplets and spontaneously enrich the analytes and silver nanocubes (AgNCs), resulting in good repeatability in situ detection. Using R6G as the probe molecule, the minimal detectable concentration can reach as low as 10-16 M, and the relative standard deviation is less than 7%. This proves that this strategy can achieve high detection sensitivity and high detection repeatability. Meanwhile, this strategy is applicable for portable nitrite analysis in EBC and may provide an inspiration for monitoring other biomarkers in EBC.
Collapse
Affiliation(s)
- Chunning Chen
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Jiaqi Liu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Jiaxin Lu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Yalei Wang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Jingtong Zhai
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Hongkun Zhao
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Nan Lu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| |
Collapse
|
6
|
Wasilewski T, Kamysz W, Gębicki J. AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring. BIOSENSORS 2024; 14:356. [PMID: 39056632 PMCID: PMC11274923 DOI: 10.3390/bios14070356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/28/2024]
Abstract
The steady progress in consumer electronics, together with improvement in microflow techniques, nanotechnology, and data processing, has led to implementation of cost-effective, user-friendly portable devices, which play the role of not only gadgets but also diagnostic tools. Moreover, numerous smart devices monitor patients' health, and some of them are applied in point-of-care (PoC) tests as a reliable source of evaluation of a patient's condition. Current diagnostic practices are still based on laboratory tests, preceded by the collection of biological samples, which are then tested in clinical conditions by trained personnel with specialistic equipment. In practice, collecting passive/active physiological and behavioral data from patients in real time and feeding them to artificial intelligence (AI) models can significantly improve the decision process regarding diagnosis and treatment procedures via the omission of conventional sampling and diagnostic procedures while also excluding the role of pathologists. A combination of conventional and novel methods of digital and traditional biomarker detection with portable, autonomous, and miniaturized devices can revolutionize medical diagnostics in the coming years. This article focuses on a comparison of traditional clinical practices with modern diagnostic techniques based on AI and machine learning (ML). The presented technologies will bypass laboratories and start being commercialized, which should lead to improvement or substitution of current diagnostic tools. Their application in PoC settings or as a consumer technology accessible to every patient appears to be a real possibility. Research in this field is expected to intensify in the coming years. Technological advancements in sensors and biosensors are anticipated to enable the continuous real-time analysis of various omics fields, fostering early disease detection and intervention strategies. The integration of AI with digital health platforms would enable predictive analysis and personalized healthcare, emphasizing the importance of interdisciplinary collaboration in related scientific fields.
Collapse
Affiliation(s)
- Tomasz Wasilewski
- Department of Inorganic Chemistry, Faculty of Pharmacy, Medical University of Gdansk, Hallera 107, 80-416 Gdansk, Poland
| | - Wojciech Kamysz
- Department of Inorganic Chemistry, Faculty of Pharmacy, Medical University of Gdansk, Hallera 107, 80-416 Gdansk, Poland
| | - Jacek Gębicki
- Department of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland;
| |
Collapse
|
7
|
Boukherroub R, Szunerits S. The Future of Nanotechnology-Driven Electrochemical and Electrical Point-of-Care Devices and Diagnostic Tests. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2024; 17:173-195. [PMID: 39018353 DOI: 10.1146/annurev-anchem-061622-012029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
Point-of-care (POC) devices have become rising stars in the biosensing field, aiming at prognosis and diagnosis of diseases with a positive impact on the patient but also on healthcare and social care systems. Putting the patient at the center of interest requires the implementation of noninvasive technologies for collecting biofluids and the development of wearable platforms with integrated artificial intelligence-based tools for improved analytical accuracy and wireless readout technologies. Many electrical and electrochemical transducer technologies have been proposed for POC-based sensing, but several necessitate further development before being widely deployable. This review focuses on recent innovations in electrochemical and electrical biosensors and their growth opportunities for nanotechnology-driven multidisciplinary approaches. With a focus on analytical aspects to pave the way for future electrical/electrochemical diagnostics tests, current limitations and drawbacks as well as directions for future developments are highlighted.
Collapse
Affiliation(s)
- Rabah Boukherroub
- Université de Lille, CNRS, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France;
| | - Sabine Szunerits
- Université de Lille, CNRS, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France;
| |
Collapse
|
8
|
Li X, Sun R, Pan J, Shi Z, An Z, Dai C, Lv J, Liu G, Liang H, Liu J, Lu Y, Zhang F, Liu Q. Rapid and on-site wireless immunoassay of respiratory virus aerosols via hydrogel-modulated resonators. Nat Commun 2024; 15:4035. [PMID: 38740742 PMCID: PMC11091083 DOI: 10.1038/s41467-024-48294-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
Rapid and accurate detection of respiratory virus aerosols is highlighted for virus surveillance and infection control. Here, we report a wireless immunoassay technology for fast (within 10 min), on-site (wireless and battery-free), and sensitive (limit of detection down to fg/L) detection of virus antigens in aerosols. The wireless immunoassay leverages the immuno-responsive hydrogel-modulated radio frequency resonant sensor to capture and amplify the recognition of virus antigen, and flexible readout network to transduce the immuno bindings into electrical signals. The wireless immunoassay achieves simultaneous detection of respiratory viruses such as severe acute respiratory syndrome coronavirus 2, influenza A H1N1 virus, and respiratory syncytial virus for community infection surveillance. Direct detection of unpretreated clinical samples further demonstrates high accuracy for diagnosis of respiratory virus infection. This work provides a sensitive and accurate immunoassay technology for on-site virus detection and disease diagnosis compatible with wearable integration.
Collapse
Affiliation(s)
- Xin Li
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China
| | - Rujing Sun
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jingying Pan
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- School of Medicine, Zhejiang University, Hangzhou, 310027, China
| | - Zhenghan Shi
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Zijian An
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Chaobo Dai
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Jingjiang Lv
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Guang Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China
| | - Yanli Lu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
- Intelligent Perception Research Institute, Zhejiang Lab, Hangzhou, 311100, China
| | - Fenni Zhang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Qingjun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China.
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University-Taizhou, Taizhou, 318000, China.
| |
Collapse
|
9
|
Das P, Marvi PK, Ganguly S, Tang XS, Wang B, Srinivasan S, Rajabzadeh AR, Rosenkranz A. MXene-Based Elastomer Mimetic Stretchable Sensors: Design, Properties, and Applications. NANO-MICRO LETTERS 2024; 16:135. [PMID: 38411801 PMCID: PMC10899156 DOI: 10.1007/s40820-024-01349-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/09/2024] [Indexed: 02/28/2024]
Abstract
Flexible sensors based on MXene-polymer composites are highly prospective for next-generation wearable electronics used in human-machine interfaces. One of the motivating factors behind the progress of flexible sensors is the steady arrival of new conductive materials. MXenes, a new family of 2D nanomaterials, have been drawing attention since the last decade due to their high electronic conductivity, processability, mechanical robustness and chemical tunability. In this review, we encompass the fabrication of MXene-based polymeric nanocomposites, their structure-property relationship, and applications in the flexible sensor domain. Moreover, our discussion is not only limited to sensor design, their mechanism, and various modes of sensing platform, but also their future perspective and market throughout the world. With our article, we intend to fortify the bond between flexible matrices and MXenes thus promoting the swift advancement of flexible MXene-sensors for wearable technologies.
Collapse
Affiliation(s)
- Poushali Das
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada
| | - Parham Khoshbakht Marvi
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada
| | - Sayan Ganguly
- Department of Chemistry and Waterloo Institute for Nanotechnology (WIN), University of Waterloo, 200 University Ave West, Waterloo, ON, Canada
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Shatin, Hong Kong, People's Republic of China
| | - Xiaowu Shirley Tang
- Department of Chemistry and Waterloo Institute for Nanotechnology (WIN), University of Waterloo, 200 University Ave West, Waterloo, ON, Canada
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Shatin, Hong Kong, People's Republic of China
| | - Bo Wang
- Chair of Functional Materials, Department of Materials Science and Engineering, Saarland University, Saarbrücken, Germany
| | - Seshasai Srinivasan
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
- W Booth School of Engineering Practice and Technology, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L7, Canada.
| | - Amin Reza Rajabzadeh
- School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
- W Booth School of Engineering Practice and Technology, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L7, Canada.
| | - Andreas Rosenkranz
- Department for Chemical Engineering, Biotechnology and Materials, University of Chile, Santiago, Chile.
| |
Collapse
|
10
|
Puthussery JV, Ghumra DP, McBrearty KR, Doherty BM, Sumlin BJ, Sarabandi A, Mandal AG, Shetty NJ, Gardiner WD, Magrecki JP, Brody DL, Esparza TJ, Bricker TL, Boon ACM, Yuede CM, Cirrito JR, Chakrabarty RK. Real-time environmental surveillance of SARS-CoV-2 aerosols. Nat Commun 2023; 14:3692. [PMID: 37429842 DOI: 10.1038/s41467-023-39419-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/12/2023] [Indexed: 07/12/2023] Open
Abstract
Real-time surveillance of airborne SARS-CoV-2 virus is a technological gap that has eluded the scientific community since the beginning of the COVID-19 pandemic. Offline air sampling techniques for SARS-CoV-2 detection suffer from longer turnaround times and require skilled labor. Here, we present a proof-of-concept pathogen Air Quality (pAQ) monitor for real-time (5 min time resolution) direct detection of SARS-CoV-2 aerosols. The system synergistically integrates a high flow (~1000 lpm) wet cyclone air sampler and a nanobody-based ultrasensitive micro-immunoelectrode biosensor. The wet cyclone showed comparable or better virus sampling performance than commercially available samplers. Laboratory experiments demonstrate a device sensitivity of 77-83% and a limit of detection of 7-35 viral RNA copies/m3 of air. Our pAQ monitor is suited for point-of-need surveillance of SARS-CoV-2 variants in indoor environments and can be adapted for multiplexed detection of other respiratory pathogens of interest. Widespread adoption of such technology could assist public health officials with implementing rapid disease control measures.
Collapse
Affiliation(s)
- Joseph V Puthussery
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Dishit P Ghumra
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Kevin R McBrearty
- Department of Neurology, Hope Center for Neurological Disease, Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, 63110, USA
| | - Brookelyn M Doherty
- Department of Neurology, Hope Center for Neurological Disease, Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, 63110, USA
| | - Benjamin J Sumlin
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Amirhossein Sarabandi
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Anushka Garg Mandal
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India
| | - Nishit J Shetty
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
- Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Woodrow D Gardiner
- Department of Neurology, Hope Center for Neurological Disease, Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, 63110, USA
| | - Jordan P Magrecki
- Department of Neurology, Hope Center for Neurological Disease, Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, 63110, USA
| | - David L Brody
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Thomas J Esparza
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Traci L Bricker
- Department of Medicine, Washington University, St. Louis, MO, 63110, USA
| | - Adrianus C M Boon
- Department of Medicine, Washington University, St. Louis, MO, 63110, USA
- Departments Molecular Microbiology, and Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Carla M Yuede
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - John R Cirrito
- Department of Neurology, Hope Center for Neurological Disease, Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, 63110, USA.
| | - Rajan K Chakrabarty
- Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
| |
Collapse
|
11
|
Aslan Y, Atabay M, Chowdhury HK, Göktürk I, Saylan Y, Inci F. Aptamer-Based Point-of-Care Devices: Emerging Technologies and Integration of Computational Methods. BIOSENSORS 2023; 13:bios13050569. [PMID: 37232930 DOI: 10.3390/bios13050569] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/14/2023] [Accepted: 05/15/2023] [Indexed: 05/27/2023]
Abstract
Recent innovations in point-of-care (POC) diagnostic technologies have paved a critical road for the improved application of biomedicine through the deployment of accurate and affordable programs into resource-scarce settings. The utilization of antibodies as a bio-recognition element in POC devices is currently limited due to obstacles associated with cost and production, impeding its widespread adoption. One promising alternative, on the other hand, is aptamer integration, i.e., short sequences of single-stranded DNA and RNA structures. The advantageous properties of these molecules are as follows: small molecular size, amenability to chemical modification, low- or nonimmunogenic characteristics, and their reproducibility within a short generation time. The utilization of these aforementioned features is critical in developing sensitive and portable POC systems. Furthermore, the deficiencies related to past experimental efforts to improve biosensor schematics, including the design of biorecognition elements, can be tackled with the integration of computational tools. These complementary tools enable the prediction of the reliability and functionality of the molecular structure of aptamers. In this review, we have overviewed the usage of aptamers in the development of novel and portable POC devices, in addition to highlighting the insights that simulations and other computational methods can provide into the use of aptamer modeling for POC integration.
Collapse
Affiliation(s)
- Yusuf Aslan
- UNAM-National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Maryam Atabay
- UNAM-National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Hussain Kawsar Chowdhury
- UNAM-National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Ilgım Göktürk
- UNAM-National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Yeşeren Saylan
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Fatih Inci
- UNAM-National Nanotechnology Research Center, Bilkent University, Ankara 06800, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| |
Collapse
|
12
|
Biswas GC, Khan MTM, Das J. Wearable nucleic acid testing platform - A perspective on rapid self-diagnosis and surveillance of infectious diseases. Biosens Bioelectron 2023; 226:115115. [PMID: 36746023 DOI: 10.1016/j.bios.2023.115115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/21/2022] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
Wearable biosensors (WB) are currently attracting considerable interest for rapid detection and monitoring of biomarkers including metabolites, protein, and pathogen in bodily fluids (e.g., sweat, saliva, tears, and interstitial fluid). Another branch of WB termed wearable nucleic acid testing (NAT) is blossoming thanks to the development of microfluidic technology and isothermal nucleic acid amplification technique (iNAAT); however, there are only few reports on this. The wearable NAT is an emerging field of point-of-care (POC) diagnostics, and holds the promise for time-saving self-diagnosis, and evidence-based surveillance of infectious diseases in remote or low-resource settings. The use of wearable NAT can also be advanced to include molecular diagnosis, the identification of cancer biomarkers, genetic abnormalities, and other aspects. The wearable NAT provides the potential for evidence-based surveillance of infectious diseases when combined with internet connectivity and App software. To make the wearable NAT accessible to the end users, however, improvements must be made to the fabrication, cost, speed, sensitivity, specificity, sampling, iNAAT, analyzer, and a few other features. So, in this paper, we looked at the wearable NAT's most recent development, identified its difficulties, and defined its potential for managing infectious diseases quickly in the future. This is the wearable NAT review's first effort. We expect that this article will provide the concise resources needed to develop and deploy an efficient wearable NAT system.
Collapse
Affiliation(s)
- Gokul Chandra Biswas
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
| | - Md Taufiqur Mannan Khan
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Jagotamoy Das
- Department of Chemistry, Northwestern University, 2170 Campus Dr, Evanston, IL, 60208, USA.
| |
Collapse
|
13
|
Truong PL, Yin Y, Lee D, Ko SH. Advancement in COVID-19 detection using nanomaterial-based biosensors. EXPLORATION (BEIJING, CHINA) 2023; 3:20210232. [PMID: 37323622 PMCID: PMC10191025 DOI: 10.1002/exp.20210232] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/11/2022] [Indexed: 06/17/2023]
Abstract
Coronavirus disease 2019 (COVID-19) pandemic has exemplified how viral growth and transmission are a significant threat to global biosecurity. The early detection and treatment of viral infections is the top priority to prevent fresh waves and control the pandemic. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been identified through several conventional molecular methodologies that are time-consuming and require high-skill labor, apparatus, and biochemical reagents but have a low detection accuracy. These bottlenecks hamper conventional methods from resolving the COVID-19 emergency. However, interdisciplinary advances in nanomaterials and biotechnology, such as nanomaterials-based biosensors, have opened new avenues for rapid and ultrasensitive detection of pathogens in the field of healthcare. Many updated nanomaterials-based biosensors, namely electrochemical, field-effect transistor, plasmonic, and colorimetric biosensors, employ nucleic acid and antigen-antibody interactions for SARS-CoV-2 detection in a highly efficient, reliable, sensitive, and rapid manner. This systematic review summarizes the mechanisms and characteristics of nanomaterials-based biosensors for SARS-CoV-2 detection. Moreover, continuing challenges and emerging trends in biosensor development are also discussed.
Collapse
Affiliation(s)
- Phuoc Loc Truong
- Laser and Thermal Engineering LabDepartment of Mechanical EngineeringGachon UniversitySeongnamKorea
| | - Yiming Yin
- New Materials InstituteDepartment of MechanicalMaterials and Manufacturing EngineeringUniversity of Nottingham Ningbo ChinaNingboChina
- Applied Nano and Thermal Science LabDepartment of Mechanical EngineeringSeoul National UniversityGwanak‐guSeoulKorea
| | - Daeho Lee
- Laser and Thermal Engineering LabDepartment of Mechanical EngineeringGachon UniversitySeongnamKorea
| | - Seung Hwan Ko
- Applied Nano and Thermal Science LabDepartment of Mechanical EngineeringSeoul National UniversityGwanak‐guSeoulKorea
- Institute of Advanced Machinery and Design (SNU‐IAMD)/Institute of Engineering ResearchSeoul National UniversityGwanak‐guSeoulKorea
| |
Collapse
|
14
|
Li J, Yin J, Ramakrishna S, Ji D. Smart Mask as Wearable for Post-Pandemic Personal Healthcare. BIOSENSORS 2023; 13:205. [PMID: 36831971 PMCID: PMC9953568 DOI: 10.3390/bios13020205] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
A mask serves as a simple external barrier that protects humans from infectious particles from poor air conditions in the surrounding environment. As an important personal protective equipment (PPE) to protect our respiratory system, masks are able not only to filter pathogens and dust particles but also to sense, reflect or even respond to environmental conditions. This smartness is of particular interest among academia and industries due to its potential in disease detection, health monitoring and caring aspects. In this review, we provide an overlook of the current air filtration strategies used in masks, from structural designs to integrated functional modules that empower the mask's ability to sense and transfer physiological or environmental information to become smart. Specifically, we discussed recent developments in masks designed to detect macroscopic physiological signals from the wearer and mask-based disease diagnoses, such as COVID-19. Further, we propose the concept of next-generation smart masks and the requirements from material selection and function design perspectives that enable masks to interact and play crucial roles in health-caring wearables.
Collapse
Affiliation(s)
- Jingcheng Li
- Centre for Nanotechnology and Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 117081, Singapore
| | - Jing Yin
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215021, China
| | - Seeram Ramakrishna
- Centre for Nanotechnology and Sustainability, Department of Mechanical Engineering, National University of Singapore, Singapore 117081, Singapore
| | - Dongxiao Ji
- College of Textiles, Donghua University, Shanghai 201620, China
| |
Collapse
|
15
|
Exhaled breath condensate as bioanalyte: from collection considerations to biomarker sensing. Anal Bioanal Chem 2023; 415:27-34. [PMID: 36396732 PMCID: PMC9672542 DOI: 10.1007/s00216-022-04433-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/06/2022] [Accepted: 11/08/2022] [Indexed: 11/19/2022]
Abstract
Since the SARS-CoV-2 pandemic, the potential of exhaled breath (EB) to provide valuable information and insight into the health status of a person has been revisited. Mass spectrometry (MS) has gained increasing attention as a powerful analytical tool for clinical diagnostics of exhaled breath aerosols (EBA) and exhaled breath condensates (EBC) due to its high sensitivity and specificity. Although MS will continue to play an important role in biomarker discovery in EB, its use in clinical setting is rather limited. EB analysis is moving toward online sampling with portable, room temperature operable, and inexpensive point-of-care devices capable of real-time measurements. This transition is happening due to the availability of highly performing biosensors and the use of wearable EB collection tools, mostly in the form of face masks. This feature article will outline the last developments in the field, notably the novel ways of EBA and EBC collection and the analytical aspects of the collected samples. The inherit non-invasive character of the sample collection approach might open new doors for efficient ways for a fast, non-invasive, and better diagnosis.
Collapse
|
16
|
Hwang CH, Lee S, Lee S, Kim H, Kang T, Lee D, Jeong KH. Highly Adsorptive Au-TiO 2 Nanocomposites for the SERS Face Mask Allow the Machine-Learning-Based Quantitative Assay of SARS-CoV-2 in Artificial Breath Aerosols. ACS APPLIED MATERIALS & INTERFACES 2022; 14:54550-54557. [PMID: 36448483 PMCID: PMC9718102 DOI: 10.1021/acsami.2c16446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Human respiratory aerosols contain diverse potential biomarkers for early disease diagnosis. Here, we report the direct and label-free detection of SARS-CoV-2 in respiratory aerosols using a highly adsorptive Au-TiO2 nanocomposite SERS face mask and an ablation-assisted autoencoder. The Au-TiO2 SERS face mask continuously preconcentrates and efficiently captures the oronasal aerosols, which substantially enhances the SERS signal intensities by 47% compared to simple Au nanoislands. The ultrasensitive Au-TiO2 nanocomposites also demonstrate the successful detection of SARS-CoV-2 spike proteins in artificial respiratory aerosols at a 100 pM concentration level. The deep learning-based autoencoder, followed by the partial ablation of nondiscriminant SERS features of spike proteins, allows a quantitative assay of the 101-104 pfu/mL SARS-CoV-2 lysates (comparable to 19-29 PCR cyclic threshold from COVID-19 patients) in aerosols with an accuracy of over 98%. The Au-TiO2 SERS face mask provides a platform for breath biopsy for the detection of various biomarkers in respiratory aerosols.
Collapse
Affiliation(s)
- Charles
S. H. Hwang
- Department
of Bio and Brain Engineering, Korea Advanced
Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
- KAIST
Institute for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro,
Yuseong-gu, Daejeon 34141, Korea
| | - Sangyeon Lee
- Department
of Bio and Brain Engineering, Korea Advanced
Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
| | - Sejin Lee
- Department
of Bio and Brain Engineering, Korea Advanced
Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
- KAIST
Institute for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro,
Yuseong-gu, Daejeon 34141, Korea
| | - Hanjin Kim
- Department
of Bio and Brain Engineering, Korea Advanced
Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
| | - Taejoon Kang
- Bionanotechnology
Research Center, Korea Research Institute
of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea
- School
of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea
| | - Doheon Lee
- Department
of Bio and Brain Engineering, Korea Advanced
Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
| | - Ki-Hun Jeong
- Department
of Bio and Brain Engineering, Korea Advanced
Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
- KAIST
Institute for Health Science and Technology (KIHST), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro,
Yuseong-gu, Daejeon 34141, Korea
| |
Collapse
|
17
|
Chen G, Shen S, Tat T, Zhao X, Zhou Y, Fang Y, Chen J. Wearable respiratory sensors for COVID-19 monitoring. VIEW 2022; 3:20220024. [PMID: 36710943 PMCID: PMC9874505 DOI: 10.1002/viw.20220024] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/30/2022] Open
Abstract
Since its outbreak in 2019, COVID-19 becomes a pandemic, severely burdening the public healthcare systems and causing an economic burden. Thus, societies around the world are prioritizing a return to normal. However, fighting the recession could rekindle the pandemic owing to the lightning-fast transmission rate of SARS-CoV-2. Furthermore, many of those who are infected remain asymptomatic for several days, leading to the increased possibility of unintended transmission of the virus. Thus, developing rigorous and universal testing technologies to continuously detect COVID-19 for entire populations remains a critical challenge that needs to be overcome. Wearable respiratory sensors can monitor biomechanical signals such as the abnormities in respiratory rate and cough frequency caused by COVID-19, as well as biochemical signals such as viral biomarkers from exhaled breaths. The point-of-care system enabled by advanced respiratory sensors is expected to promote better control of the pandemic by providing an accessible, continuous, widespread, noninvasive, and reliable solution for COVID-19 diagnosis, monitoring, and management.
Collapse
Affiliation(s)
- Guorui Chen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Sophia Shen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Trinny Tat
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Xun Zhao
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Yihao Zhou
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Yunsheng Fang
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| | - Jun Chen
- Department of BioengineeringUniversity of California, Los AngelesLos AngelesCalifornia90095USA
| |
Collapse
|
18
|
Mah AJ, Nguyen T, Ghazi Zadeh L, Shadgan A, Khaksari K, Nourizadeh M, Zaidi A, Park S, Gandjbakhche AH, Shadgan B. Optical Monitoring of Breathing Patterns and Tissue Oxygenation: A Potential Application in COVID-19 Screening and Monitoring. SENSORS (BASEL, SWITZERLAND) 2022; 22:7274. [PMID: 36236373 PMCID: PMC9573619 DOI: 10.3390/s22197274] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/19/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
The worldwide outbreak of the novel Coronavirus (COVID-19) has highlighted the need for a screening and monitoring system for infectious respiratory diseases in the acute and chronic phase. The purpose of this study was to examine the feasibility of using a wearable near-infrared spectroscopy (NIRS) sensor to collect respiratory signals and distinguish between normal and simulated pathological breathing. Twenty-one healthy adults participated in an experiment that examined five separate breathing conditions. Respiratory signals were collected with a continuous-wave NIRS sensor (PortaLite, Artinis Medical Systems) affixed over the sternal manubrium. Following a three-minute baseline, participants began five minutes of imposed difficult breathing using a respiratory trainer. After a five minute recovery period, participants began five minutes of imposed rapid and shallow breathing. The study concluded with five additional minutes of regular breathing. NIRS signals were analyzed using a machine learning model to distinguish between normal and simulated pathological breathing. Three features: breathing interval, breathing depth, and O2Hb signal amplitude were extracted from the NIRS data and, when used together, resulted in a weighted average accuracy of 0.87. This study demonstrated that a wearable NIRS sensor can monitor respiratory patterns continuously and non-invasively and we identified three respiratory features that can distinguish between normal and simulated pathological breathing.
Collapse
Affiliation(s)
- Aaron James Mah
- Implantable Biosensing Laboratory, ICORD, Vancouver, BC V5Z 1M9, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z7, Canada
| | - Thien Nguyen
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Rockville, MD 20847, USA
| | - Leili Ghazi Zadeh
- Implantable Biosensing Laboratory, ICORD, Vancouver, BC V5Z 1M9, Canada
| | - Atrina Shadgan
- Implantable Biosensing Laboratory, ICORD, Vancouver, BC V5Z 1M9, Canada
| | - Kosar Khaksari
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Rockville, MD 20847, USA
| | - Mehdi Nourizadeh
- Implantable Biosensing Laboratory, ICORD, Vancouver, BC V5Z 1M9, Canada
| | - Ali Zaidi
- Implantable Biosensing Laboratory, ICORD, Vancouver, BC V5Z 1M9, Canada
| | - Soongho Park
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Rockville, MD 20847, USA
| | - Amir H. Gandjbakhche
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Rockville, MD 20847, USA
| | - Babak Shadgan
- Implantable Biosensing Laboratory, ICORD, Vancouver, BC V5Z 1M9, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z7, Canada
- Department of Orthopedics, University of British Columbia, Vancouver, BC V6T 1Z7, Canada
- Department of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z7, Canada
| |
Collapse
|
19
|
Merkoçi A, Li CZ, Lechuga LM, Ozcan A. Editorial on COVID-19 biosensing technologies- 2d Edition. Biosens Bioelectron 2022; 212:114340. [PMID: 35562254 PMCID: PMC9069983 DOI: 10.1016/j.bios.2022.114340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Arben Merkoçi
- Nanobioelectronics & Biosensors Group, Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST, Campus UAB, 08193, Bellaterra, Barcelona, Spain; ICREA, Institució Catalana de Recerca I Estudis Avançats, Barcelona, Spain.
| | - Chen-Zhong Li
- Center of Cellular and Molecular Diagnosis, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
| | - Laura M Lechuga
- Nanobiosensors and Bioanalytical Applications (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, BIST and CIBER-BBN, 08193, Bellaterra, Barcelona, Spain.
| | - Aydogan Ozcan
- Electrical & Computer Engineering and Bioengineering Departments, University of California, Los Angeles (UCLA), CA, 90095, USA.
| |
Collapse
|
20
|
Mao S, Fu L, Yin C, Liu X, Karimi-Maleh H. The role of electrochemical biosensors in SARS-CoV-2 detection: a bibliometrics-based analysis and review. RSC Adv 2022; 12:22592-22607. [PMID: 36105989 PMCID: PMC9372877 DOI: 10.1039/d2ra04162f] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/03/2022] [Indexed: 12/16/2022] Open
Abstract
The global pandemic of COVID-19, which began in late 2019, has resulted in extremely high morbidity and severe mortality worldwide, with important implications for human health, international trade, and national politics. Severe acute respiratory syndrome coronavirus (SARS-CoV-2) is the primary pathogen causing COVID-19. Analytical chemistry played an important role in this global epidemic event, and detection of SARS-CoV-2 even became a part of daily life. Analytical chemists have devoted much effort and enthusiasm to this event, and different analytical techniques have shown very rapid development. Electrochemical biosensors are highly efficient, sensitive, and cost-effective and have been used to detect many highly pathogenic viruses long before this event. However, another fact is that electrochemical biosensors are not the technology of choice for most detection applications. This review describes for the first time the role played by electrochemical biosensors in SARS-CoV-2 detection from a bibliometric perspective. This paper analyzed 254 relevant research papers up to June 2022. The contributions of different countries and institutions to this topic were analyzed. Keyword analysis was used to explore different methodological attempts of electrochemical detection techniques. More importantly, we are trying to find an answer to the question: do electrochemical biosensors have the potential to become a genuinely employable detection technology in an outbreak of infectious disease?
Collapse
Affiliation(s)
- Shudan Mao
- Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Interdisciplinary Research Academy, Zhejiang Shuren University Hangzhou 310021 PR China
| | - Li Fu
- Key Laboratory of Novel Materials for Sensor of Zhejiang Province, College of Materials and Environmental Engineering, Hangzhou Dianzi University Hangzhou 310018 China
| | - Chengliang Yin
- National Engineering Laboratory for Medical Big Data Application Technology, Chinese PLA General Hospital Beijing China
- Medical Big Data Research Center, Medical Innovation Research Division of PLA General Hospital Beijing China
| | - Xiaozhu Liu
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University Chongqing 400010 China
| | - Hassan Karimi-Maleh
- School of Resources and Environment, University of Electronic Science and Technology of China Xiyuan Ave 611731 Chengdu China
- Department of Chemical Engineering, Quchan University of Technology Quchan 9477177870 Iran
- Department of Chemical Sciences, University of Johannesburg Doornfontein Campus, 2028 Johannesburg 17011 South Africa
| |
Collapse
|
21
|
Molecular detection of SARS-COV-2 in exhaled breath at the point-of-need. Biosens Bioelectron 2022; 217:114663. [PMID: 36150327 PMCID: PMC9424122 DOI: 10.1016/j.bios.2022.114663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/17/2022] [Accepted: 08/24/2022] [Indexed: 12/19/2022]
Abstract
The SARS-CoV-2 pandemic has highlighted the need for improved technologies to help control the spread of contagious pathogens. While rapid point-of-need testing plays a key role in strategies to rapidly identify and isolate infectious patients, current test approaches have significant shortcomings related to assay limitations and sample type. Direct quantification of viral shedding in exhaled particles may offer a better rapid testing approach, since SARS-CoV-2 is believed to spread mainly by aerosols. It assesses contagiousness directly, the sample is easy and comfortable to obtain, sampling can be standardized, and the limited sample volume lends itself to a fast and sensitive analysis. In view of these benefits, we developed and tested an approach where exhaled particles are efficiently sampled using inertial impaction in a micromachined silicon chip, followed by an RT-qPCR molecular assay to detect SARS-CoV-2 shedding. Our portable, silicon impactor allowed for the efficient capture (>85%) of respiratory particles down to 300 nm without the need for additional equipment. We demonstrate using both conventional off-chip and in-situ PCR directly on the silicon chip that sampling subjects’ breath in less than a minute yields sufficient viral RNA to detect infections as early as standard sampling methods. A longitudinal study revealed clear differences in the temporal dynamics of viral load for nasopharyngeal swab, saliva, breath, and antigen tests. Overall, after an infection, the breath-based test remains positive during the first week but is the first to consistently report a negative result, putatively signalling the end of contagiousness and further emphasizing the potential of this tool to help manage the spread of airborne respiratory infections.
Collapse
|
22
|
Szunerits S, Saada H, Pagneux Q, Boukherroub R. Plasmonic Approaches for the Detection of SARS-CoV-2 Viral Particles. BIOSENSORS 2022; 12:548. [PMID: 35884352 PMCID: PMC9313406 DOI: 10.3390/bios12070548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 11/16/2022]
Abstract
The ongoing highly contagious Coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), underlines the fundamental position of diagnostic testing in outbreak control by allowing a distinction of the infected from the non-infected people. Diagnosis of COVID-19 remains largely based on reverse transcription PCR (RT-PCR), identifying the genetic material of the virus. Molecular testing approaches have been largely proposed in addition to infectivity testing of patients via sensing the presence of viral particles of SARS-CoV-2 specific structural proteins, such as the spike glycoproteins (S1, S2) and the nucleocapsid (N) protein. While the S1 protein remains the main target for neutralizing antibody treatment upon infection and the focus of vaccine and therapeutic design, it has also become a major target for the development of point-of care testing (POCT) devices. This review will focus on the possibility of surface plasmon resonance (SPR)-based sensing platforms to convert the receptor-binding event of SARS-CoV-2 viral particles into measurable signals. The state-of-the-art SPR-based SARS-CoV-2 sensing devices will be provided, and highlights about the applicability of plasmonic sensors as POCT for virus particle as well as viral protein sensing will be discussed.
Collapse
Affiliation(s)
- Sabine Szunerits
- University of Lille, CNRS, Centrale Lille, University Polytechnique Hauts-de-France, UMR 8520-IEMN, F-59000 Lille, France; (H.S.); (Q.P.); (R.B.)
| | | | | | | |
Collapse
|
23
|
A Review on Potential Electrochemical Point-of-Care Tests Targeting Pandemic Infectious Disease Detection: COVID-19 as a Reference. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10070269] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Fast and accurate point-of-care testing (POCT) of infectious diseases is crucial for diminishing the pandemic miseries. To fight the pandemic coronavirus disease 2019 (COVID-19), numerous interesting electrochemical point-of-care (POC) tests have been evolved to rapidly identify the causal organism SARS-CoV-2 virus, its nucleic acid and antigens, and antibodies of the patients. Many of those electrochemical biosensors are impressive in terms of miniaturization, mass production, ease of use, and speed of test, and they could be recommended for future applications in pandemic-like circumstances. On the other hand, self-diagnosis, sensitivity, specificity, surface chemistry, electrochemical components, device configuration, portability, small analyzers, and other features of the tests can yet be improved. Therefore, this report reviews the developmental trend of electrochemical POC tests (i.e., test platforms and features) reported for the rapid diagnosis of COVID-19 and correlates any significant advancements with relevant references. POCTs incorporating microfluidic/plastic chips, paper devices, nanomaterial-aided platforms, smartphone integration, self-diagnosis, and epidemiological reporting attributes are also surfed to help with future pandemic preparedness. This review especially screens the low-cost and easily affordable setups so that management of pandemic disease becomes faster and easier. Overall, the review is a wide-ranging package for finding appropriate strategies of electrochemical POCT targeting pandemic infectious disease detection.
Collapse
|
24
|
Xue Y, Chen Z, Zhang W, Zhang J. Engineering CRISPR/Cas13 System against RNA Viruses: From Diagnostics to Therapeutics. Bioengineering (Basel) 2022; 9:bioengineering9070291. [PMID: 35877342 PMCID: PMC9312194 DOI: 10.3390/bioengineering9070291] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 12/23/2022] Open
Abstract
Over the past decades, RNA viruses have been threatened people’s health and led to global health emergencies. Significant progress has been made in diagnostic methods and antiviral therapeutics for combating RNA viruses. ELISA and RT-qPCR are reliable methods to detect RNA viruses, but they suffer from time-consuming procedures and limited sensitivities. Vaccines are effective to prevent virus infection and drugs are useful for antiviral treatment, while both need a relatively long research and development cycle. In recent years, CRISPR-based gene editing and modifying tools have been expanded rapidly. In particular, the CRISPR-Cas13 system stands out from the CRISPR-Cas family due to its accurate RNA-targeting ability, which makes it a promising tool for RNA virus diagnosis and therapy. Here, we review the current applications of the CRISPR-Cas13 system against RNA viruses, from diagnostics to therapeutics, and use some medically important RNA viruses such as SARS-CoV-2, dengue virus, and HIV-1 as examples to demonstrate the great potential of the CRISPR-Cas13 system.
Collapse
|
25
|
Bhattacharjee S, Bahl P, Chughtai AA, Heslop D, MacIntyre CR. Face masks and respirators: Towards sustainable materials and technologies to overcome the shortcomings and challenges. NANO SELECT 2022. [DOI: 10.1002/nano.202200101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Shovon Bhattacharjee
- Biosecurity Program The Kirby Institute, Faculty of Medicine University of New South Wales Kensington Sydney Australia
- Department of Applied Chemistry and Chemical Engineering Faculty of Engineering and Technology Noakhali Science and Technology University Noakhali Bangladesh
| | - Prateek Bahl
- School of Mechanical & Manufacturing Engineering University of New South Wales Sydney Australia
| | - Abrar Ahmad Chughtai
- School of Population Health Faculty of Medicine University of New South Wales Kensington Sydney Australia
| | - David Heslop
- School of Population Health Faculty of Medicine University of New South Wales Kensington Sydney Australia
| | - C. Raina MacIntyre
- Biosecurity Program The Kirby Institute, Faculty of Medicine University of New South Wales Kensington Sydney Australia
- College of Public Service and Community Solutions and College of Health Solutions Arizona State University Tempe Arizona USA
| |
Collapse
|
26
|
Zhang W, Liu N, Zhang J. Functional nucleic acids as modular components against SARS-CoV-2: From diagnosis to therapeutics. Biosens Bioelectron 2022; 201:113944. [PMID: 35026546 PMCID: PMC8718887 DOI: 10.1016/j.bios.2021.113944] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/28/2021] [Accepted: 12/28/2021] [Indexed: 01/05/2023]
Abstract
Coronavirus Disease 2019 (COVID-19), which poses an extremely serious global impact on human public healthcare, represents a high transmission and disease-causing viral infection caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that is expanding at a rapid pace. Therefore, it is urgent for researchers to establish effective platforms for the assay and treatment of SARS-CoV-2. Functional nucleic acids (FNAs), comprising aptamers and nucleases, are of primary concern within the biological and medical communities owing of the distinctive properties of their target recognition and catalysis. This review will concentrate on the essential aspects of insights regarding FNAs and their technological expertise for the diagnostic and therapeutic utilization against COVID-19. We first offer a historical perspective of the COVID-19 pandemics, its clinical characteristics and potential biomarkers. Then, we briefly discuss the current diagnostic and therapeutic methodology towards COVID-19, highlighting the superiorities and existing shortcomings. After that, we introduce the key features of FNAs, and summarize recent progress of in vitro selection of FNAs for SARS-CoV-2 specific proteins and RNAs, followed by highlighting the general concept of translating FNAs into functional probes for diagnostic and therapeutic purposes. Then, we critically review the emerging FNAs-based diagnostic and therapeutic strategies that are fast, precise, efficient, and highly specific to fight COVID-19. Finally, we identify remaining challenges and offer future outlook of this emerging field.
Collapse
Affiliation(s)
- Wenxian Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China
| | - Na Liu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China
| | - Jingjing Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China.
| |
Collapse
|
27
|
Zhang W, He Y, Feng Z, Zhang J. Recent advances of functional nucleic acid-based sensors for point-of-care detection of SARS-CoV-2. Mikrochim Acta 2022; 189:128. [PMID: 35235065 PMCID: PMC8889384 DOI: 10.1007/s00604-022-05242-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 02/21/2022] [Indexed: 12/18/2022]
Abstract
This review focuses on critical scientific barriers that the field of point-of-care (POC) testing of SARS-CoV-2 is facing and possible solutions to overcome these barriers using functional nucleic acid (FNA)-based technology. Beyond the summary of recent advances in FNA-based sensors for COVID-19 diagnostics, our goal is to outline how FNA might serve to overcome the scientific barriers that currently available diagnostic approaches are suffering. The first introductory section on the operationalization of the COVID-19 pandemic in historical view and its clinical features contextualizes essential SARS-CoV-2-specific biomarkers. The second part highlights three major scientific barriers for POC COVID-19 diagnosis, that is, the lack of a general method for (1) designing receptors of SARS-CoV-2 variants; (2) improving sensitivity to overcome false negatives; and (3) signal readout in resource-limited settings. The subsequent part provides fundamental insights into FNA and technical tricks to successfully achieve effective COVID-19 diagnosis by using in vitro selection of FNA to overcome receptor design barriers, combining FNA with multiple DNA signal amplification strategies to improve sensitivity, and interfacing FNA with portable analyzers to overcome signal readout barriers. This review concludes with an overview of further opportunities and emerging applications for FNA-based sensors against COVID-19.
Collapse
Affiliation(s)
- Wenxian Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China
| | - Ying He
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China
| | - Zhe Feng
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China
| | - Jingjing Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, 210023, China.
| |
Collapse
|
28
|
Deep Learning Models for Multiple Face Mask Detection under a Complex Big Data Environment. PROCEDIA COMPUTER SCIENCE 2022; 215:706-712. [PMID: 36618030 PMCID: PMC9803366 DOI: 10.1016/j.procs.2022.12.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The Covid-19 (coronavirus) pandemic creates a worldwide health crisis. According to the WHO, the effective protection system is wearing a face mask in public places. Many studies proved that carrying a face mask is also one of the precautions to decrease the possibility of viral transmission. Strict monitoring of face mask being worn by people is now enforced in many countries. Manual observation and monitoring is quite tedious. Hence, automated systems have been researched using well-kwown face mask detection methods. However, this research paper, deals with some deep learning models which can be effectively used to detect multiple face masks in a crowded environment when the amount of incoming data from sensors is huge or in otherwise stated to a Big data problem. Hence, standalone face detection models are not quite suited. Deep learning models are required in such Big data scenario which forms the essence of this study.
Collapse
|
29
|
Chen XF, Zhao X, Yang Z. Aptasensors for the detection of infectious pathogens: design strategies and point-of-care testing. Mikrochim Acta 2022; 189:443. [PMID: 36350388 PMCID: PMC9643942 DOI: 10.1007/s00604-022-05533-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/10/2022] [Indexed: 11/11/2022]
Abstract
The epidemic of infectious diseases caused by contagious pathogens is a life-threatening hazard to the entire human population worldwide. A timely and accurate diagnosis is the critical link in the fight against infectious diseases. Aptamer-based biosensors, the so-called aptasensors, employ nucleic acid aptamers as bio-receptors for the recognition of target pathogens of interest. This review focuses on the design strategies as well as state-of-the-art technologies of aptasensor-based diagnostics for infectious pathogens (mainly bacteria and viruses), covering the utilization of three major signal transducers, the employment of aptamers as recognition moieties, the construction of versatile biosensing platforms (mostly micro and nanomaterial-based), innovated reporting mechanisms, and signal enhancement approaches. Advanced point-of-care testing (POCT) for infectious disease diagnostics are also discussed highlighting some representative ready-to-use devices to address the urgent needs of currently prevalent coronavirus disease 2019 (COVID-19). Pressing issues in aptamer-based technology and some future perspectives of aptasensors are provided for the implementation of aptasensor-based diagnostics into practical application.
Collapse
Affiliation(s)
- Xiao-Fei Chen
- Guangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Institute of Analysis, Guangdong Academy of Sciences (China National Analytical Center, Guangzhou), Guangzhou, 510070, People's Republic of China
| | - Xin Zhao
- Guangdong Provincial Key Laboratory of Chemical Measurement and Emergency Test Technology, Institute of Analysis, Guangdong Academy of Sciences (China National Analytical Center, Guangzhou), Guangzhou, 510070, People's Republic of China.
| | - Zifeng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China.
- Guangzhou Laboratory, Guangzhou, 510320, People's Republic of China.
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, Guangzhou, 510005, People's Republic of China.
| |
Collapse
|
30
|
Moabelo KL, Martin DR, Fadaka AO, Sibuyi NRS, Meyer M, Madiehe AM. Nanotechnology-Based Strategies for Effective and Rapid Detection of SARS-CoV-2. MATERIALS (BASEL, SWITZERLAND) 2021; 14:7851. [PMID: 34947447 PMCID: PMC8703409 DOI: 10.3390/ma14247851] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/30/2021] [Accepted: 12/08/2021] [Indexed: 01/08/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has gained worldwide attention and has prompted the development of innovative diagnostics, therapeutics, and vaccines to mitigate the pandemic. Diagnostic methods based on reverse transcriptase-polymerase chain reaction (RT-PCR) technology are the gold standard in the fight against COVID-19. However, this test might not be easily accessible in low-resource settings for the early detection and diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The lack of access to well-equipped clinical laboratories, requirement for the high level of technical competence, and the cost of the RT-PCR test are the major limitations. Moreover, RT-PCR is unsuitable for application at the point-of-care testing (PoCT) as it is time-consuming and lab-based. Due to emerging mutations of the virus and the burden it has placed on the health care systems, there is a growing urgency to develop sensitive, selective, and rapid diagnostic devices for COVID-19. Nanotechnology has emerged as a versatile technology in the production of reliable diagnostic tools for various diseases and offers new opportunities for the development of COVID-19 diagnostic systems. This review summarizes some of the nano-enabled diagnostic systems that were explored for the detection of SARS-CoV-2. It highlights how the unique physicochemical properties of nanoparticles were exploited in the development of novel colorimetric assays and biosensors for COVID-19 at the PoCT. The potential to improve the efficiency of the current assays, as well as the challenges associated with the development of these innovative diagnostic tools, are also discussed.
Collapse
Affiliation(s)
| | | | | | | | - Mervin Meyer
- Department of Science and Innovation (DSI)/Mintek Nanotechnology Innovation Centre (NIC), Biolabels Research Node, Department of Biotechnology, University of the Western Cape (UWC), Bellville 7535, South Africa; (K.L.M.); (D.R.M.); (A.O.F.); (N.R.S.S.)
| | - Abram M. Madiehe
- Department of Science and Innovation (DSI)/Mintek Nanotechnology Innovation Centre (NIC), Biolabels Research Node, Department of Biotechnology, University of the Western Cape (UWC), Bellville 7535, South Africa; (K.L.M.); (D.R.M.); (A.O.F.); (N.R.S.S.)
| |
Collapse
|