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Lagopati N, Valamvanos TF, Proutsou V, Karachalios K, Pippa N, Gatou MA, Vagena IA, Cela S, Pavlatou EA, Gazouli M, Efstathopoulos E. The Role of Nano-Sensors in Breath Analysis for Early and Non-Invasive Disease Diagnosis. CHEMOSENSORS 2023; 11:317. [DOI: 10.3390/chemosensors11060317] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2023]
Abstract
Early-stage, precise disease diagnosis and treatment has been a crucial topic of scientific discussion since time immemorial. When these factors are combined with experience and scientific knowledge, they can benefit not only the patient, but also, by extension, the entire health system. The development of rapidly growing novel technologies allows for accurate diagnosis and treatment of disease. Nanomedicine can contribute to exhaled breath analysis (EBA) for disease diagnosis, providing nanomaterials and improving sensing performance and detection sensitivity. Through EBA, gas-based nano-sensors might be applied for the detection of various essential diseases, since some of their metabolic products are detectable and measurable in the exhaled breath. The design and development of innovative nanomaterial-based sensor devices for the detection of specific biomarkers in breath samples has emerged as a promising research field for the non-invasive accurate diagnosis of several diseases. EBA would be an inexpensive and widely available commercial tool that could also be used as a disease self-test kit. Thus, it could guide patients to the proper specialty, bypassing those expensive tests, resulting, hence, in earlier diagnosis, treatment, and thus a better quality of life. In this review, some of the most prevalent types of sensors used in breath-sample analysis are presented in parallel with the common diseases that might be diagnosed through EBA, highlighting the impact of incorporating new technological achievements in the clinical routine.
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Affiliation(s)
- Nefeli Lagopati
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
| | - Theodoros-Filippos Valamvanos
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Vaia Proutsou
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Konstantinos Karachalios
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Natassa Pippa
- Section of Pharmaceutical Technology, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece
| | - Maria-Anna Gatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Ioanna-Aglaia Vagena
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Smaragda Cela
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Medical Physics Unit, 2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece
| | - Evangelia A. Pavlatou
- Laboratory of General Chemistry, School of Chemical Engineering, National Technical University of Athens, Zografou Campus, 15772 Athens, Greece
| | - Maria Gazouli
- Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
| | - Efstathios Efstathopoulos
- Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
- School of Science and Technology, Hellenic Open University, 26335 Patra, Greece
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2
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Sharma A, Kumar R, Varadwaj P. Smelling the Disease: Diagnostic Potential of Breath Analysis. Mol Diagn Ther 2023; 27:321-347. [PMID: 36729362 PMCID: PMC9893210 DOI: 10.1007/s40291-023-00640-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2023] [Indexed: 02/03/2023]
Abstract
Breath analysis is a relatively recent field of research with much promise in scientific and clinical studies. Breath contains endogenously produced volatile organic components (VOCs) resulting from metabolites of ingested precursors, gut and air-passage bacteria, environmental contacts, etc. Numerous recent studies have suggested changes in breath composition during the course of many diseases, and breath analysis may lead to the diagnosis of such diseases. Therefore, it is important to identify the disease-specific variations in the concentration of breath to diagnose the diseases. In this review, we explore methods that are used to detect VOCs in laboratory settings, VOC constituents in exhaled air and other body fluids (e.g., sweat, saliva, skin, urine, blood, fecal matter, vaginal secretions, etc.), VOC identification in various diseases, and recently developed electronic (E)-nose-based sensors to detect VOCs. Identifying such VOCs and applying them as disease-specific biomarkers to obtain accurate, reproducible, and fast disease diagnosis could serve as an alternative to traditional invasive diagnosis methods. However, the success of VOC-based identification of diseases is limited to laboratory settings. Large-scale clinical data are warranted for establishing the robustness of disease diagnosis. Also, to identify specific VOCs associated with illness states, extensive clinical trials must be performed using both analytical instruments and electronic noses equipped with stable and precise sensors.
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Affiliation(s)
- Anju Sharma
- Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India
| | - Rajnish Kumar
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Uttar Pradesh, Lucknow Campus, Lucknow, India
| | - Pritish Varadwaj
- Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India.
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3
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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 2023; 14:391. [PMID: 36838091 PMCID: PMC9964519 DOI: 10.3390/mi14020391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [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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Freddi S, Marzuoli C, Pagliara S, Drera G, Sangaletti L. Targeting biomarkers in the gas phase through a chemoresistive electronic nose based on graphene functionalized with metal phthalocyanines. RSC Adv 2022; 13:251-263. [PMID: 36605647 PMCID: PMC9769103 DOI: 10.1039/d2ra07607a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
Electronic noses (e-noses) have received considerable interest in the past decade as they can match the emerging needs of modern society such as environmental monitoring, health screening, and food quality tracking. For practical applications of e-noses, it is necessary to collect large amounts of data from an array of sensing devices that can detect interactions with molecules reliably and analyze them via pattern recognition. The use of graphene (Gr)-based arrays of chemiresistors in e-noses is still virtually missing, though recent reports on Gr-based chemiresistors have disclosed high sensing performances upon functionalization of the pristine layer, opening up the possibility of being implemented into e-noses. In this work, with the aim of creating a robust and chemically stable interface that combines the chemical properties of metal phthalocyanines (M-Pc, M = Fe, Co, Ni, Zn) with the superior transport properties of Gr, an array of Gr-based chemiresistor sensors functionalized with drop-cast M-Pc thin layers has been developed. The sensing capability of the array was tested towards biomarkers for breathomics application, with a focus on ammonia (NH3). Exposure to NH3 has been carried out drawing the calibration curve and estimating the detection limit for all the sensors. The discrimination capability of the array has then been tested, carrying out exposure to several gases (hydrogen sulfide, acetone, ethanol, 2-propanol, water vapour and benzene) and analysing the data through principal component analysis (PCA). The PCA pattern recognition results show that the developed e-nose is able to discriminate all the tested gases through the synergic contribution of all sensors.
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Affiliation(s)
- Sonia Freddi
- Department of Mathematics and Physics, Surface Science and Spectroscopy Lab@I-Lamp, Università Cattolica del Sacro CuoreVia della Garzetta 4825123 BresciaItaly,Department of Chemistry, Division of Molecular Imaging and Photonics, KU LeuvenCelestijnenlaan 200F3001 LeuvenBelgium
| | - Camilla Marzuoli
- Department of Mathematics and Physics, Surface Science and Spectroscopy Lab@I-Lamp, Università Cattolica del Sacro CuoreVia della Garzetta 4825123 BresciaItaly
| | - Stefania Pagliara
- Department of Mathematics and Physics, Surface Science and Spectroscopy Lab@I-Lamp, Università Cattolica del Sacro CuoreVia della Garzetta 4825123 BresciaItaly
| | - Giovanni Drera
- Department of Mathematics and Physics, Surface Science and Spectroscopy Lab@I-Lamp, Università Cattolica del Sacro CuoreVia della Garzetta 4825123 BresciaItaly
| | - Luigi Sangaletti
- Department of Mathematics and Physics, Surface Science and Spectroscopy Lab@I-Lamp, Università Cattolica del Sacro CuoreVia della Garzetta 4825123 BresciaItaly
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5
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Damavandi AR, Mirmosayyeb O, Ebrahimi N, Zalpoor H, khalilian P, Yahiazadeh S, Eskandari N, Rahdar A, Kumar PS, Pandey S. Advances in nanotechnology versus stem cell therapy for the theranostics of multiple sclerosis disease. APPLIED NANOSCIENCE 2022. [DOI: 10.1007/s13204-022-02698-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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6
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Yu YY, Jin H, Lu Q. Effect of polycyclic aromatic hydrocarbons on immunity. J Transl Autoimmun 2022; 5:100177. [PMID: 36561540 PMCID: PMC9763510 DOI: 10.1016/j.jtauto.2022.100177] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 09/06/2022] [Accepted: 11/25/2022] [Indexed: 12/02/2022] Open
Abstract
Nearly a quarter of the total number of deaths in the world are caused by unhealthy living or working environments. Therefore, we consider it significant to introduce the effect of a widely distributed component of air/water/food-source contaminants, polycyclic aromatic hydrocarbons (PAHs), on the human body, especially on immunity in this review. PAHs are a large class of organic compounds containing two or more benzene rings. PAH exposure could occur in most people through breath, smoke, food, and direct skin contact, resulting in both cellular immunosuppression and humoral immunosuppression. PAHs usually lead to the exacerbation of autoimmune diseases by regulating the balance of T helper cell 17 and regulatory T cells, and promoting type 2 immunity. However, the receptor of PAHs, aryl hydrocarbon receptor (AhR), appears to exhibit duality in the immune response, which seems to explain some seemingly opposite experimental results. In addition, PAH exposure was also able to exacerbate allergic reactions and regulate monocytes to a certain extent. The specific regulation mechanisms of immune system include the assistance of AhR, the activation of the CYP-ROS axis, the recruitment of intracellular calcium, and some epigenetic mechanisms. This review aims to summarize our current understanding on the impact of PAHs in the immune system and some related diseases such as cancer, autoimmune diseases (rheumatoid arthritis, type 1 diabetes, multiple sclerosis, and systemic lupus erythematosus), and allergic diseases (asthma and atopic dermatitis). Finally, we also propose future research directions for the prevention or treatment on environmental induced diseases.
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Affiliation(s)
- Yang-yiyi Yu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China,Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Hui Jin
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China,Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China,Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China,Corresponding author. Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China.
| | - Qianjin Lu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China,Research Unit of Key Technologies of Immune-related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China,Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China,Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China,Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, Jiangsu, 210042, China,Corresponding author. Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China.
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7
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Capman NSS, Zhen XV, Nelson JT, Chaganti VRSK, Finc RC, Lyden MJ, Williams TL, Freking M, Sherwood GJ, Bühlmann P, Hogan CJ, Koester SJ. Machine Learning-Based Rapid Detection of Volatile Organic Compounds in a Graphene Electronic Nose. ACS NANO 2022; 16:19567-19583. [PMID: 36367841 DOI: 10.1021/acsnano.2c10240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Rapid detection of volatile organic compounds (VOCs) is growing in importance in many sectors. Noninvasive medical diagnoses may be based upon particular combinations of VOCs in human breath; detecting VOCs emitted from environmental hazards such as fungal growth could prevent illness; and waste could be reduced through monitoring of gases produced during food storage. Electronic noses have been applied to such problems, however, a common limitation is in improving selectivity. Graphene is an adaptable material that can be functionalized with many chemical receptors. Here, we use this versatility to demonstrate selective and rapid detection of multiple VOCs at varying concentrations with graphene-based variable capacitor (varactor) arrays. Each array contains 108 sensors functionalized with 36 chemical receptors for cross-selectivity. Multiplexer data acquisition from 108 sensors is accomplished in tens of seconds. While this rapid measurement reduces the signal magnitude, classification using supervised machine learning (Bootstrap Aggregated Random Forest) shows excellent results of 98% accuracy between 5 analytes (ethanol, hexanal, methyl ethyl ketone, toluene, and octane) at 4 concentrations each. With the addition of 1-octene, an analyte highly similar in structure to octane, an accuracy of 89% is achieved. These results demonstrate the important role of the choice of analysis method, particularly in the presence of noisy data. This is an important step toward fully utilizing graphene-based sensor arrays for rapid gas sensing applications from environmental monitoring to disease detection in human breath.
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Affiliation(s)
- Nyssa S S Capman
- Department of Electrical and Computer Engineering, University of Minnesota, 200 Union Street SE, Minneapolis, Minnesota 55455, United States
- Department of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, Minnesota 55455, United States
| | - Xue V Zhen
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - Justin T Nelson
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - V R Saran Kumar Chaganti
- Department of Electrical and Computer Engineering, University of Minnesota, 200 Union Street SE, Minneapolis, Minnesota 55455, United States
| | - Raia C Finc
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - Michael J Lyden
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - Thomas L Williams
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - Mike Freking
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - Gregory J Sherwood
- Boston Scientific, 4100 Hamline Avenue North, St. Paul, Minnesota 55112, United States
| | - Philippe Bühlmann
- Department of Chemistry, University of Minnesota, 207 Pleasant Street SE, Minneapolis, Minnesota 55455, United States
| | - Christopher J Hogan
- Department of Mechanical Engineering, University of Minnesota, 111 Church Street SE, Minneapolis, Minnesota 55455, United States
| | - Steven J Koester
- Department of Electrical and Computer Engineering, University of Minnesota, 200 Union Street SE, Minneapolis, Minnesota 55455, United States
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8
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Freddi S, Sangaletti L. Trends in the Development of Electronic Noses Based on Carbon Nanotubes Chemiresistors for Breathomics. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:nano12172992. [PMID: 36080029 PMCID: PMC9458156 DOI: 10.3390/nano12172992] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/21/2022] [Accepted: 08/25/2022] [Indexed: 06/12/2023]
Abstract
The remarkable potential of breath analysis in medical care and diagnosis, and the consequent development of electronic noses, is currently attracting the interest of the research community. This is mainly due to the possibility of applying the technique for early diagnosis, screening campaigns, or tracking the effectiveness of treatment. Carbon nanotubes (CNTs) are known to be good candidates for gas sensing, and they have been recently considered for the development of electronic noses. The present work has the aim of reviewing the available literature on the development of CNTs-based electronic noses for breath analysis applications, detailing the functionalization procedure used to prepare the sensors, the breath sampling techniques, the statistical analysis methods, the diseases under investigation, and the population studied. The review is divided in two main sections: one focusing on the e-noses completely based on CNTs and one reporting on the e-noses that feature sensors based on CNTs, along with sensors based on other materials. Finally, a classification is presented among studies that report on the e-nose capability to discriminate biomarkers, simulated breath, and animal or human breath.
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9
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Gu Y, Qiu Z, Müllen K. Nanographenes and Graphene Nanoribbons as Multitalents of Present and Future Materials Science. J Am Chem Soc 2022; 144:11499-11524. [PMID: 35671225 PMCID: PMC9264366 DOI: 10.1021/jacs.2c02491] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
As cut-outs from a graphene sheet, nanographenes (NGs) and graphene nanoribbons (GNRs) are ideal cases with which to connect the world of molecules with that of bulk carbon materials. While various top-down approaches have been developed to produce such nanostructures in high yields, in the present perspective, precision structural control is emphasized for the length, width, and edge structures of NGs and GNRs achieved by modern solution and on-surface syntheses. Their structural possibilities have been further extended from "flatland" to the three-dimensional world, where chirality and handedness are the jewels in the crown. In addition to properties exhibited at the molecular level, self-assembly and thin-film structures cannot be neglected, which emphasizes the importance of processing techniques. With the rich toolkit of chemistry in hand, NGs and GNRs can be endowed with versatile properties and functions ranging from stimulated emission to spintronics and from bioimaging to energy storage, thus demonstrating their multitalents in present and future materials science.
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Affiliation(s)
- Yanwei Gu
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
| | - Zijie Qiu
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
- Shenzhen
Institute of Aggregate Science and Technology, School of Science and
Engineering, The Chinese University of Hong
Kong, Shenzhen 518172, China
| | - Klaus Müllen
- Max
Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany
- Institute
for Physical Chemistry , Johannes Gutenberg
University Mainz, Duesbergweg
10-14, 55128 Mainz, Germany
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10
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Kaloumenou M, Skotadis E, Lagopati N, Efstathopoulos E, Tsoukalas D. Breath Analysis: A Promising Tool for Disease Diagnosis-The Role of Sensors. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22031238. [PMID: 35161984 PMCID: PMC8840008 DOI: 10.3390/s22031238] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 05/07/2023]
Abstract
Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of the most promising non-invasive diagnostic methods that has also attracted great research interest during the last years is breath analysis; the method detects gas-analytes such as exhaled volatile organic compounds (VOCs) and inorganic gases that are considered to be important biomarkers for various disease-types. The diagnostic ability of gas-pattern detection using analytical techniques and especially sensors has been widely discussed in the literature; however, the incorporation of novel nanomaterials in sensor-development has also proved to enhance sensor performance, for both selective and cross-reactive applications. The aim of the first part of this review is to provide an up-to-date overview of the main categories of sensors studied for disease diagnosis applications via the detection of exhaled gas-analytes and to highlight the role of nanomaterials. The second and most novel part of this review concentrates on the remarkable applicability of breath analysis in differential diagnosis, phenotyping, and the staging of several disease-types, which are currently amongst the most pressing challenges in the field.
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Affiliation(s)
- Maria Kaloumenou
- Department of Applied Physics, National Technical University of Athens, 15780 Athens, Greece; (M.K.); (D.T.)
| | - Evangelos Skotadis
- Department of Applied Physics, National Technical University of Athens, 15780 Athens, Greece; (M.K.); (D.T.)
- Correspondence:
| | - Nefeli Lagopati
- Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias Str., Goudi, 11527 Athens, Greece; (N.L.); (E.E.)
| | - Efstathios Efstathopoulos
- Medical School, National and Kapodistrian University of Athens, 75, Mikras Asias Str., Goudi, 11527 Athens, Greece; (N.L.); (E.E.)
| | - Dimitris Tsoukalas
- Department of Applied Physics, National Technical University of Athens, 15780 Athens, Greece; (M.K.); (D.T.)
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11
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Yang X, Chi H, Tian Y, Li T, Wang Y. Research Progress of Graphene and Its Derivatives towards Exhaled Breath Analysis. BIOSENSORS 2022; 12:bios12020048. [PMID: 35200309 PMCID: PMC8869631 DOI: 10.3390/bios12020048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/13/2022] [Accepted: 01/15/2022] [Indexed: 11/16/2022]
Abstract
The metabolic process of the human body produces a large number of gaseous biomarkers. The tracking and monitoring of certain diseases can be achieved through the detection of these markers. Due to the superior specific surface area, large functional groups, good optical transparency, conductivity and interlayer spacing, graphene, and its derivatives are widely used in gas sensing. Herein, the development of graphene and its derivatives in gas-phase biomarker detection was reviewed in terms of the detection principle and the latest detection methods and applications in several common gases, etc. Finally, we summarized the commonly used materials, preparation methods, response mechanisms for NO, NH3, H2S, and volatile organic gas VOCs, and other gas detection, and proposed the challenges and prospective applications in this field.
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12
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Hu W, Wu W, Jian Y, Haick H, Zhang G, Qian Y, Yuan M, Yao M. Volatolomics in healthcare and its advanced detection technology. NANO RESEARCH 2022; 15:8185-8213. [PMID: 35789633 PMCID: PMC9243817 DOI: 10.1007/s12274-022-4459-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 05/21/2023]
Abstract
Various diseases increasingly challenge the health status and life quality of human beings. Volatolome emitted from patients has been considered as a potential family of markers, volatolomics, for diagnosis/screening. There are two fundamental issues of volatolomics in healthcare. On one hand, the solid relationship between the volatolome and specific diseases needs to be clarified and verified. On the other hand, effective methods should be explored for the precise detection of volatolome. Several comprehensive review articles had been published in this field. However, a timely and systematical summary and elaboration is still desired. In this review article, the research methodology of volatolomics in healthcare is critically considered and given out, at first. Then, the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized. Thirdly, the advanced electronic nose and photonic nose technologies for volatile organic compounds (VOCs) detection are well introduced. The existed obstacles and future perspectives are deeply thought and discussed. This article could give a good guidance to researchers in this interdisciplinary field, not only understanding the cutting-edge detection technologies for doctors (medicinal background), but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists, materials scientists, electronics engineers, etc.
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Affiliation(s)
- Wenwen Hu
- School of Aerospace Science and Technology, Xidian University, Xi’an, 730107 China
| | - Weiwei Wu
- Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi’an, 730107 China
| | - Yingying Jian
- Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi’an, 730107 China
| | - Hossam Haick
- Faculty of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200002 Israel
| | - Guangjian Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 China
| | - Yun Qian
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006 China
| | - Miaomiao Yuan
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033 China
| | - Mingshui Yao
- State Key Laboratory of Multi-phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 310006 China
- Institute for Integrated Cell-Material Sciences, Kyoto University Institute for Advanced Study, Kyoto University, Kyoto, 606-8501 Japan
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13
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Yang HY, Chen WC, Tsai RC. Accuracy of the Electronic Nose Breath Tests in Clinical Application: A Systematic Review and Meta-Analysis. BIOSENSORS 2021; 11:bios11110469. [PMID: 34821685 PMCID: PMC8615633 DOI: 10.3390/bios11110469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 11/20/2021] [Accepted: 11/20/2021] [Indexed: 05/25/2023]
Abstract
(1) Background: An electronic nose applies a sensor array to detect volatile biomarkers in exhaled breath to diagnose diseases. The overall diagnostic accuracy remains unknown. The objective of this review was to provide an estimate of the diagnostic accuracy of sensor-based breath tests for the diagnosis of diseases. (2) Methods: We searched the PubMed and Web of Science databases for studies published between 1 January 2010 and 14 October 2021. The search was limited to human studies published in the English language. Clinical trials were not included in this review. (3) Results: Of the 2418 records identified, 44 publications were eligible, and 5728 patients were included in the final analyses. The pooled sensitivity was 90.0% (95% CI, 86.3-92.8%, I2 = 47.7%), the specificity was 88.4% (95% CI, 87.1-89.5%, I2 = 81.4%), and the pooled area under the curve was 0.93 (95% CI 0.91-0.95). (4) Conclusion: The findings of our review suggest that a standardized report of diagnostic accuracy and a report of the accuracy in a test set are needed. Sensor array systems of electronic noses have the potential for noninvasiveness at the point-of-care in hospitals. Nevertheless, the procedure for reporting the accuracy of a diagnostic test must be standardized.
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Affiliation(s)
- Hsiao-Yu Yang
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei 10055, Taiwan; (W.-C.C.); (R.-C.T.)
- Department of Public Health, National Taiwan University College of Public Health, Taipei 10055, Taiwan
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan
| | - Wan-Chin Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei 10055, Taiwan; (W.-C.C.); (R.-C.T.)
- Department of Family Medicine, Changhua Christian Hospital, Changhua 50006, Taiwan
| | - Rodger-Chen Tsai
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei 10055, Taiwan; (W.-C.C.); (R.-C.T.)
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14
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Breath-Taking Perspectives and Preliminary Data toward Early Detection of Chronic Liver Diseases. Biomedicines 2021; 9:biomedicines9111563. [PMID: 34829792 PMCID: PMC8615034 DOI: 10.3390/biomedicines9111563] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 12/17/2022] Open
Abstract
The gold standard method for chronic liver diseases diagnosis and staging remains liver biopsy, despite the spread of less invasive surrogate modalities based on imaging and blood biomarkers. Still, more than 50% of chronic liver disease cases are detected at later stages when patients exhibit episodes of liver decompensation. Breath analysis represents an attractive means for the development of non-invasive tests for several pathologies, including chronic liver diseases. In this perspective review, we summarize the main findings of studies that compared the breath of patients with chronic liver diseases against that of control subjects and found candidate biomarkers for a potential breath test. Interestingly, identified compounds with best classification performance are of exogenous origin and used as flavoring agents in food. Therefore, random dietary exposure of the general population to these compounds prevents the establishment of threshold levels for the identification of disease subjects. To overcome this limitation, we propose the exogenous volatile organic compounds (EVOCs) probe approach, where one or multiple of these flavoring agent(s) are administered at a standard dose and liver dysfunction associated with chronic liver diseases is evaluated as a washout of ingested compound(s). We report preliminary results in healthy subjects in support of the potential of the EVOC Probe approach.
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15
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Drera G, Freddi S, Emelianov AV, Bobrinetskiy II, Chiesa M, Zanotti M, Pagliara S, Fedorov FS, Nasibulin AG, Montuschi P, Sangaletti L. Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease. RSC Adv 2021; 11:30270-30282. [PMID: 35480252 PMCID: PMC9041100 DOI: 10.1039/d1ra03337a] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 08/27/2021] [Indexed: 12/18/2022] Open
Abstract
An array of carbon nanotube (CNT)-based sensors was produced for sensing selective biomarkers and evaluating breathomics applications with the aid of clustering and classification algorithms. We assessed the sensor array performance in identifying target volatiles and we explored the combination of various classification algorithms to analyse the results obtained from a limited dataset of exhaled breath samples. The sensor array was exposed to ammonia (NH3), nitrogen dioxide (NO2), hydrogen sulphide (H2S), and benzene (C6H6). Among them, ammonia (NH3) and nitrogen dioxide (NO2) are known biomarkers of chronic obstructive pulmonary disease (COPD). Calibration curves for individual sensors in the array were obtained following exposure to the four target molecules. A remarkable response to ammonia (NH3) and nitrogen dioxide (NO2), according to benchmarking with available data in the literature, was observed. Sensor array responses were analyzed through principal component analysis (PCA), thus assessing the array selectivity and its capability to discriminate the four different target volatile molecules. The sensor array was then exposed to exhaled breath samples from patients affected by COPD and healthy control volunteers. A combination of PCA, supported vector machine (SVM), and linear discrimination analysis (LDA) shows that the sensor array can be trained to accurately discriminate healthy from COPD subjects, in spite of the limited dataset. Extensive application of clustering and classification algorithms shows the potential of a CNT-based sensor array in breathomics.![]()
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Affiliation(s)
- Giovanni Drera
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore via dei Musei 41 25121 Brescia Italy .,Surface Science and Spectroscopy Lab @ I-Lamp, Università Cattolica del Sacro Cuore, Brescia Campus Italy
| | - Sonia Freddi
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore via dei Musei 41 25121 Brescia Italy .,Surface Science and Spectroscopy Lab @ I-Lamp, Università Cattolica del Sacro Cuore, Brescia Campus Italy.,Department of Chemistry, Division of Molecular Imaging and Photonics, KU Leuven Celestijnenlaan 200F 3001 Leuven Belgium
| | - Aleksei V Emelianov
- National Research University of Electronic Technology Zelenograd Moscow 124498 Russia.,P. N. Lebedev Physical Institute of the Russian Academy of Sciences Moscow 119991 Russia
| | - Ivan I Bobrinetskiy
- National Research University of Electronic Technology Zelenograd Moscow 124498 Russia.,BioSense Institute - Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad Dr Zorana Djindjica 1a 21000 Novi Sad Serbia
| | - Maria Chiesa
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore via dei Musei 41 25121 Brescia Italy
| | - Michele Zanotti
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore via dei Musei 41 25121 Brescia Italy .,Surface Science and Spectroscopy Lab @ I-Lamp, Università Cattolica del Sacro Cuore, Brescia Campus Italy
| | - Stefania Pagliara
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore via dei Musei 41 25121 Brescia Italy .,Surface Science and Spectroscopy Lab @ I-Lamp, Università Cattolica del Sacro Cuore, Brescia Campus Italy
| | - Fedor S Fedorov
- Skolkovo Institute of Science and Technology Moscow 121205 Russia
| | - Albert G Nasibulin
- Skolkovo Institute of Science and Technology Moscow 121205 Russia.,Aalto University, Department of Chemistry and Materials Science FI-00076 Espoo Finland
| | - Paolo Montuschi
- Department of Pharmacology, Faculty of Medicine, Catholic University of the Sacred Heart Largo Francesco Vito, 1 00168 Roma Italy
| | - Luigi Sangaletti
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore via dei Musei 41 25121 Brescia Italy .,Surface Science and Spectroscopy Lab @ I-Lamp, Università Cattolica del Sacro Cuore, Brescia Campus Italy
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16
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Targeting immunosuppressor cells with nanoparticles in autoimmunity: How far have we come to? Cell Immunol 2021; 368:104412. [PMID: 34340162 DOI: 10.1016/j.cellimm.2021.104412] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 07/20/2021] [Accepted: 07/23/2021] [Indexed: 12/24/2022]
Abstract
Autoimmunity is the assault of immune response towards self-antigens, resulting to inflammation and tissue injury. It is staged into three phases and caused by malfunction of immune tolerance. In our body, immune tolerance is synchronized by several immunosuppressor cells such as regulatory T cells and B cells as well as myeloid-derived suppressor cells, which are prominently dysregulated in autoimmunity. Hence, targeting these cell populations serve as a significant potential in the therapy of autoimmunity. Nanotechnology with its advantageous properties is shown to be a remarkable tool as drug delivery system in this field. This review focused on the development of therapeutics in autoimmune diseases utilizing various nanoparticles formulation based on two targeting approaches in autoimmunity, passive and active targeting. Lastly, this review outlined the approved present nanomedicines as well as in clinical evaluations and issues regarding the lack of translation of these nanomedicines into the market, despite the abundant of positive experimental observations.
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17
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Broza YY, Haick H. Biodiagnostics in an era of global pandemics-From biosensing materials to data management. VIEW 2021; 3:20200164. [PMID: 34766159 PMCID: PMC8441813 DOI: 10.1002/viw.20200164] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 03/10/2021] [Accepted: 04/12/2021] [Indexed: 12/15/2022] Open
Abstract
The novel corona virus SARS‐CoV‐2 (COVID‐19) has exposed the world to challenges never before seen in fast diagnostics, monitoring, and prevention of the outbreak. As a result, different approaches for fast diagnostic and screening are made and yet to find the ideal way. The current mini‐review provides and examines evidence‐based innovative and rapid chemical sensing and related biodiagnostic solutions to deal with infectious disease and related pandemic emergencies, which could offer the best possible care for the general population and improve the approachability of the pandemic information, insights, and surrounding contexts. The review discusses how integration of sensing devices with big data analysis, artificial Intelligence or machine learning, and clinical decision support system, could improve the accuracy of the recorded patterns of the disease conditions within an ocean of information. At the end, the mini‐review provides a prospective on the requirements to improve our coping of the pandemic‐related biodiagnostics as well as future opportunities.
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Affiliation(s)
- Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion-Israel Institute of Technology Haifa Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion-Israel Institute of Technology Haifa Israel
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18
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Milyutin Y, Abud-Hawa M, Kloper-Weidenfeld V, Mansour E, Broza YY, Shani G, Haick H. Fabricating and printing chemiresistors based on monolayer-capped metal nanoparticles. Nat Protoc 2021; 16:2968-2990. [PMID: 34012107 DOI: 10.1038/s41596-021-00528-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 02/23/2021] [Indexed: 02/03/2023]
Abstract
Chemiresistors that are based on monolayer-capped metal nanoparticles (MCNPs) have been used in a wide variety of innovative sensing applications, including detection and monitoring of diagnostic markers in body fluids, explosive materials, environmental contaminations and food quality control. The sensing mechanism is based on reversible swelling or aggregation and/or changes in dielectric constant of the MCNPs. In this protocol, we describe a procedure for producing MCNP-based chemiresistive sensors that is reproducible from device to device and from batch to batch. The approach relies on three main steps: (i) controlled synthesis of gold MCNPs, (ii) fabrication of electrodes that are surrounded with a microbarrier ring to confine the deposited MCNP solution and (iii) a tailor-made drying process to enable evaporation of solvent residues from the MCNP sensing layer to prevent a coffee-ring effect. Application of this approach has been shown to produce devices with ±1.5% variance-a value consistent with the criterion for commercial sensors-as well as long shelf life and stability. Fabrication of chemical sensors based on dodecanethiol- or 2-ethylhexanethiol-capped MCNPs with this approach provides high sensitivity and accuracy in the detection of volatile organic compounds (e.g., octane and decane), toxic gaseous species (e.g., HCl and NH3) in air and simulated mixtures of lung and gastric cancer from exhaled breath.
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Affiliation(s)
- Yana Milyutin
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Manal Abud-Hawa
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Viki Kloper-Weidenfeld
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Elias Mansour
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Gidi Shani
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel.
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19
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Khoubnasabjafari M, Mogaddam MRA, Rahimpour E, Soleymani J, Saei AA, Jouyban A. Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications. Crit Rev Anal Chem 2021; 52:1461-1487. [PMID: 33691552 DOI: 10.1080/10408347.2021.1889961] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Metabolomics research is rapidly gaining momentum in disease diagnosis, on top of other Omics technologies. Breathomics, as a branch of metabolomics is developing in various frontiers, for early and noninvasive monitoring of disease. This review starts with a brief introduction to metabolomics and breathomics. A number of important technical issues in exhaled breath collection and factors affecting the sampling procedures are presented. We review the recent progress in metabolomics approaches and a summary of their applications on the respiratory and non-respiratory diseases investigated by breath analysis. Recent reports on breathomics studies retrieved from Scopus and Pubmed were reviewed in this work. We conclude that analyzing breath metabolites (both volatile and nonvolatile) is valuable in disease diagnoses, and therefore believe that breathomics will turn into a promising noninvasive discipline in biomarker discovery and early disease detection in personalized medicine. The problem of wide variations in the reported metabolite concentrations from breathomics studies should be tackled by developing more accurate analytical methods and sophisticated numerical analytical alogorithms.
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Affiliation(s)
- Maryam Khoubnasabjafari
- Tuberculosis and Lung Diseases Research Center and Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.,Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohamad Reza Afshar Mogaddam
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Elaheh Rahimpour
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.,Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jafar Soleymani
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.,Liver and Gastrointestinal Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amir Ata Saei
- Department of Medical Biochemistry and Biophysics, Division of Physiological Chemistry I, Karolinska Institutet, Stockholm, Sweden
| | - Abolghasem Jouyban
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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20
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Zhang Q, Dai X, Zhang H, Zeng Y, Luo K, Li W. Recent advances in development of nanomedicines for multiple sclerosis diagnosis. Biomed Mater 2021; 16:024101. [PMID: 33472182 DOI: 10.1088/1748-605x/abddf4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Multiple sclerosis (MS) is a neurodegenerative disease with a high morbidity and disease burden. It is characterized by the loss of the myelin sheath, resulting in the disruption of neuron electrical signal transmissions and sensory and motor ability deficits. The diagnosis of MS is crucial to its management, but the diagnostic sensitivity and specificity are always a challenge. To overcome this challenge, nanomedicines have recently been employed to aid the diagnosis of MS with an improved diagnostic efficacy. Advances in nanomedicine-based contrast agents in magnetic resonance imaging scanning of MS lesions, and nanomedicine-derived sensors for detecting biomarkers in the cerebrospinal fluid biopsy, or analyzing the composition of exhaled breath gas, have demonstrated the potential of using nanomedicines in the accurate diagnosis of MS. This review aims to provide an overview of recent advances in the application of nanomedicines for the diagnosis of MS and concludes with perspectives of using nanomedicines for the development of safe and effective MS diagnostic nanotools.
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Affiliation(s)
- Qin Zhang
- Department of Radiology, Department of Postgraduate Students, and Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China. West China School of Medicine, Sichuan University, Chengdu 610041, People's Republic of China. These authors contributed equally to this work
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21
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Ettema R, Lenders M, Vliegen J, Slettenaar A, Tjepkema-Cloostermans MC, de Vos C. Detecting Multiple Sclerosis via breath analysis using an eNose, a pilot study. J Breath Res 2020; 15. [PMID: 33271513 DOI: 10.1088/1752-7163/abd080] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 12/03/2020] [Indexed: 11/11/2022]
Abstract
OBJECTIVE In the present study we investigated whether Multiple Sclerosis (MS) can be detected via exhaled breath analysis using an electronic nose. The AeonoseTM (an electronic nose, The eNose Company, Zutphen, The Netherlands) is a diagnostic test device to detect patterns of volatile organic compounds in exhaled breath. We evaluated whether the AeonoseTM can make a distinction between the breath patterns of patients with MS and healthy control subjects. METHODS In this mono-center, prospective, non-invasive study, 124 subjects with a confirmed diagnosis of MS and 129 control subjects each breathed into the AeonoseTM for 5 minutes. Exhaled breath data was used to train an artificial neural network (ANN) predictive model. To investigate the influence of medication intake we created a second predictive model with a subgroup of MS patients without medication prescribed for MS. RESULTS The ANN model based on the entire dataset was able to distinguish MS patients from healthy controls with a sensitivity of 0.75 [95% CI: 0.66-0.82] and specificity of 0.60 [0.51-0.69]. The model created with the subgroup of MS patients not using medication and the healthy control subjects had a sensitivity of 0.93 [0.82-0.98] and a specificity of 0.74 [0.65-0.81]. CONCLUSION The study showed that the AeonoseTM is able to make a distinction between MS patients and healthy control subjects, and could potentially provide a quick screening test to assist in diagnosing MS. Further research is needed to determine whether the AeonoseTM is able to differentiate new MS patients from subjects who will not get the diagnosis.
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Affiliation(s)
- Rozemarijn Ettema
- Neurology, Isala Zwolle, Dokter van Heesweg 2, Zwolle, Overijssel, 8025 AB, NETHERLANDS
| | - Mathieu Lenders
- Neurosurgery, Medisch Spectrum Twente, Enschede, Overijssel, NETHERLANDS
| | - Jos Vliegen
- Neurology, Medisch Spectrum Twente, Enschede, Overijssel, NETHERLANDS
| | - Astrid Slettenaar
- Neurology, Medisch Spectrum Twente, Enschede, Overijssel, NETHERLANDS
| | | | - Cecile de Vos
- Anesthesiology, Erasmus Medical Center, Rotterdam, Zuid-Holland, NETHERLANDS
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22
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The Role of Electronic Noses in Phenotyping Patients with Chronic Obstructive Pulmonary Disease. BIOSENSORS-BASEL 2020; 10:bios10110171. [PMID: 33187142 PMCID: PMC7697924 DOI: 10.3390/bios10110171] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/05/2020] [Accepted: 11/09/2020] [Indexed: 12/12/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a common progressive disorder of the respiratory system which is currently the third leading cause of death worldwide. Exhaled breath analysis is a non-invasive method to study lung diseases, and electronic noses have been extensively used in breath research. Studies with electronic noses have proved that the pattern of exhaled volatile organic compounds is different in COPD. More recent investigations have reported that electronic noses could potentially distinguish different endotypes (i.e., neutrophilic vs. eosinophilic) and are able to detect microorganisms in the airways responsible for exacerbations. This article will review the published literature on electronic noses and COPD and help in identifying methodological, physiological, and disease-related factors which could affect the results.
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23
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Freddi S, Emelianov AV, Bobrinetskiy II, Drera G, Pagliara S, Kopylova DS, Chiesa M, Santini G, Mores N, Moscato U, Nasibulin AG, Montuschi P, Sangaletti L. Development of a Sensing Array for Human Breath Analysis Based on SWCNT Layers Functionalized with Semiconductor Organic Molecules. Adv Healthc Mater 2020; 9:e2000377. [PMID: 32378358 DOI: 10.1002/adhm.202000377] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/09/2020] [Indexed: 02/04/2023]
Abstract
A sensor array based on heterojunctions between semiconducting organic layers and single walled carbon nanotube (SWCNT) films is produced to explore applications in breathomics, the molecular analysis of exhaled breath. The array is exposed to gas/volatiles relevant to specific diseases (ammonia, ethanol, acetone, 2-propanol, sodium hypochlorite, benzene, hydrogen sulfide, and nitrogen dioxide). Then, to evaluate its capability to operate with real relevant biological samples the array is exposed to human breath exhaled from healthy subjects. Finally, to provide a proof of concept of its diagnostic potential, the array is exposed to exhaled breath samples collected from subjects with chronic obstructive pulmonary disease (COPD), an airway chronic inflammatory disease not yet investigated with CNT-based sensor arrays, and breathprints are compared with those obtained from of healthy subjects. Principal component analysis shows that the sensor array is able to detect various target gas/volatiles with a clear fingerprint on a 2D subspace, is suitable for breath profiling in exhaled human breath, and is able to distinguish subjects with COPD from healthy subjects based on their breathprints. This classification ability is further improved by selecting the most responsive sensors to nitrogen dioxide, a potential biomarker of COPD.
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Affiliation(s)
- Sonia Freddi
- Mathematics and Physics DepartmentUniversità Cattolica del Sacro Cuore via dei Musei 41 Brescia 25121 Italy
- Surface Science and Spectroscopy Lab @ I‐LampUniversità Cattolica del Sacro Cuore Brescia 25121 Italy
- Department of ChemistryDivision of Molecular Imaging and PhotonicsKU Leuven Celestijnenlaan 200F Leuven 3001 Belgium
| | - Aleksei V. Emelianov
- National Research University of Electronic Technology Zelenograd Moscow 124498 Russia
- P.N. Lebedev Physical Institute of the Russian Academy of Sciences Moscow 119991 Russia
| | - Ivan I. Bobrinetskiy
- National Research University of Electronic Technology Zelenograd Moscow 124498 Russia
- BioSense Institute – Research and Development Institute for Information Technologies in BiosystemsUniversity of Novi Sad Dr Zorana Djindjica 1a Novi Sad 21000 Serbia
| | - Giovanni Drera
- Mathematics and Physics DepartmentUniversità Cattolica del Sacro Cuore via dei Musei 41 Brescia 25121 Italy
- Surface Science and Spectroscopy Lab @ I‐LampUniversità Cattolica del Sacro Cuore Brescia 25121 Italy
| | - Stefania Pagliara
- Mathematics and Physics DepartmentUniversità Cattolica del Sacro Cuore via dei Musei 41 Brescia 25121 Italy
- Surface Science and Spectroscopy Lab @ I‐LampUniversità Cattolica del Sacro Cuore Brescia 25121 Italy
| | | | - Maria Chiesa
- Mathematics and Physics DepartmentUniversità Cattolica del Sacro Cuore via dei Musei 41 Brescia 25121 Italy
| | - Giuseppe Santini
- Department of PharmacologyFaculty of MedicineCatholic University of the Sacred HeartFondazione Policlinico Universitario Agostino GemelliIRCCS Largo Francesco Vito, 1 Roma 00168 Italy
| | - Nadia Mores
- Department of PharmacologyFaculty of MedicineCatholic University of the Sacred HeartFondazione Policlinico Universitario Agostino GemelliIRCCS Largo Francesco Vito, 1 Roma 00168 Italy
| | - Umberto Moscato
- Occupational MedicineFaculty of MedicineCatholic University of the Sacred HeartFondazione Policlinico Universitario Agostino GemelliIRCCS Largo Francesco Vito, 1 Roma 00168 Italy
| | - Albert G. Nasibulin
- Skolkovo Institute of Science and Technology Moscow 121205 Russia
- Aalto University P. O. Box 16100 Aalto FI‐00076 Finland
| | - Paolo Montuschi
- Department of PharmacologyFaculty of MedicineCatholic University of the Sacred HeartFondazione Policlinico Universitario Agostino GemelliIRCCS Largo Francesco Vito, 1 Roma 00168 Italy
| | - Luigi Sangaletti
- Mathematics and Physics DepartmentUniversità Cattolica del Sacro Cuore via dei Musei 41 Brescia 25121 Italy
- Surface Science and Spectroscopy Lab @ I‐LampUniversità Cattolica del Sacro Cuore Brescia 25121 Italy
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24
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Assessment of Electronic Sensing Techniques for the Rapid Identification of Alveolar Echinococcosis through Exhaled Breath Analysis. SENSORS 2020; 20:s20092666. [PMID: 32392783 PMCID: PMC7249121 DOI: 10.3390/s20092666] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 04/30/2020] [Accepted: 05/05/2020] [Indexed: 11/28/2022]
Abstract
Here we present a proof-of-concept study showing the potential of a chemical gas sensors system to identify the patients with alveolar echinococcosis disease through exhaled breath analysis. The sensors system employed comprised an array of three commercial gas sensors and a custom gas sensor based on WO3 nanowires doped with gold nanoparticles, optimized for the measurement of common breath volatile organic compounds. The measurement setup was designed for the concomitant measurement of both sensors DC resistance and AC fluctuations during breath samples exposure. Discriminant Function Analysis classification models were built with features extracted from sensors responses, and the discrimination of alveolar echinococcosis was estimated through bootstrap validation. The commercial sensor that detects gases such as alkane derivatives and ethanol, associated with lipid peroxidation and intestinal gut flora, provided the best classification (63.4% success rate, 66.3% sensitivity and 54.6% specificity) when sensors’ responses were individually analyzed, while the model built with the AC features extracted from the responses of the cross-reactive sensors array yielded 90.2% classification success rate, 93.6% sensitivity and 79.4% specificity. This result paves the way for the development of a noninvasive, easy to use, fast and inexpensive diagnostic test for alveolar echinococcosis diagnosis at an early stage, when curative treatment can be applied to the patients.
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Vilela A, Bacelar E, Pinto T, Anjos R, Correia E, Gonçalves B, Cosme F. Beverage and Food Fragrance Biotechnology, Novel Applications, Sensory and Sensor Techniques: An Overview. Foods 2019; 8:E643. [PMID: 31817355 PMCID: PMC6963671 DOI: 10.3390/foods8120643] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 11/29/2019] [Accepted: 12/03/2019] [Indexed: 12/19/2022] Open
Abstract
Flavours and fragrances are especially important for the beverage and food industries. Biosynthesis or extraction are the two main ways to obtain these important compounds that have many different chemical structures. Consequently, the search for new compounds is challenging for academic and industrial investigation. This overview aims to present the current state of art of beverage fragrance biotechnology, including recent advances in sensory and sensor methodologies and statistical techniques for data analysis. An overview of all the recent findings in beverage and food fragrance biotechnology, including those obtained from natural sources by extraction processes (natural plants as an important source of flavours) or using enzymatic precursor (hydrolytic enzymes), and those obtained by de novo synthesis (microorganisms' respiration/fermentation of simple substrates such as glucose and sucrose), are reviewed. Recent advances have been made in what concerns "beverage fragrances construction" as also in their application products. Moreover, novel sensory and sensor methodologies, primarily used for fragrances quality evaluation, have been developed, as have statistical techniques for sensory and sensors data treatments, allowing a rapid and objective analysis.
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Affiliation(s)
- Alice Vilela
- CQ-VR, Chemistry Research Centre, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal;
| | - Eunice Bacelar
- CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal; (E.B.); (T.P.); (R.A.); (B.G.)
| | - Teresa Pinto
- CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal; (E.B.); (T.P.); (R.A.); (B.G.)
| | - Rosário Anjos
- CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal; (E.B.); (T.P.); (R.A.); (B.G.)
| | - Elisete Correia
- CQ-VR, Chemistry Research Centre, Department of Mathematics, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal;
- Center for Computational and Stochastic Mathematics (CEMAT), Department of Mathematics, IST-UL, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
| | - Berta Gonçalves
- CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal; (E.B.); (T.P.); (R.A.); (B.G.)
| | - Fernanda Cosme
- CQ-VR, Chemistry Research Centre, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal;
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Gas Biosensor Arrays Based on Single-Stranded DNA-Functionalized Single-Walled Carbon Nanotubes for the Detection of Volatile Organic Compound Biomarkers Released by Huanglongbing Disease-Infected Citrus Trees. SENSORS 2019; 19:s19214795. [PMID: 31689974 PMCID: PMC6865013 DOI: 10.3390/s19214795] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 10/31/2019] [Accepted: 11/01/2019] [Indexed: 02/02/2023]
Abstract
Volatile organic compounds (VOCs) released by plants are closely associated with plant metabolism and can serve as biomarkers for disease diagnosis. Huanglongbing (HLB), also known as citrus greening or yellow shoot disease, is a lethal threat to the multi-billion-dollar citrus industry. Early detection of HLB is vital for removal of susceptible citrus trees and containment of the disease. Gas sensors are applied to monitor the air quality or toxic gases owing to their low-cost fabrication, smooth operation, and possible miniaturization. Here, we report on the development, characterization, and application of electrical biosensor arrays based on single-walled carbon nanotubes (SWNTs) decorated with single-stranded DNA (ssDNA) for the detection of four VOCs-ethylhexanol, linalool, tetradecene, and phenylacetaldehyde-that serve as secondary biomarkers for detection of infected citrus trees during the asymptomatic stage. SWNTs were noncovalently functionalized with ssDNA using π-π interaction between the nucleotide and sidewall of SWNTs. The resulting ssDNA-SWNT hybrid structure and device properties were investigated using Raman spectroscopy, ultraviolet (UV) spectroscopy, and electrical measurements. To monitor changes in the four VOCs, gas biosensor arrays consisting of bare SWNTs before and after being decorated with different ssDNA were employed to determine the different concentrations of the four VOCs. The data was processed using principal component analysis (PCA) and neural net fitting (NNF).
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Chemosensory Perception: A Review on Electrophysiological Methods in “Cognitive Neuro-Olfactometry”. CHEMOSENSORS 2019. [DOI: 10.3390/chemosensors7030045] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Various brain imaging techniques are available, but few are specifically designed to visualize chemical sensory and, in particular, olfactory processing. This review describes the results of quantitative and qualitative studies that have used electroencephalography (EEG) and magneto-encephalography (MEG) to evaluate responses to olfactory stimulation (OS). EEG and MEG are able to detect the components of chemosensory event-related potentials (CSERPs) and the cortical rhythms associated with different types of OS. Olfactory studies are filling the gaps in both the developmental field of the life cycle (from newborns to geriatric age) and the clinical and basic research fields, in a way that can be considered the modern “cognitive neuro-olfactometry”.
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Fitzgerald JE, Shen J, Fenniri H. A Barcoded Polymer-Based Cross-Reactive Spectroscopic Sensor Array for Organic Volatiles. SENSORS (BASEL, SWITZERLAND) 2019; 19:E3683. [PMID: 31450628 PMCID: PMC6749357 DOI: 10.3390/s19173683] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/04/2019] [Accepted: 08/16/2019] [Indexed: 01/10/2023]
Abstract
The development of cross-reactive sensor arrays for volatile organics (electronic noses, e-noses) is an active area of research. In this manuscript, we present a new format for barcoded polymer sensor arrays based on porous polymer beads. An array of nine self-encoded polymers was analyzed by Raman spectroscopy before and after exposure to a series of volatile organic compounds, and the changes in the vibrational fingerprints of their polymers was recorded before and after exposure. Our results show that the spectroscopic changes experienced by the porous spectroscopically encoded beads after exposure to an analyte can be used to identify and classify the target analytes. To expedite this analysis, analyte-specific changes induced in the sensor arrays were transformed into a response pattern using multivariate data analysis. These studies established the barcoded bead array format as a potentially effective sensing element in e-nose devices. Devices such as these have the potential to advance personalized medicine, providing a platform for non-invasive, real-time volatile metabolite detection.
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Affiliation(s)
| | - Jianliang Shen
- School of Ophthalmology and Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325000, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325000, China
| | - Hicham Fenniri
- Department of Bioengineering, Northeastern University, Boston, MA 02115, USA.
- Department of Chemical Engineering, Northeastern University, Boston, MA 02115, USA.
- Department of Chemistry & Chemical Biology, Northeastern University, Boston, MA 02115, USA.
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Invitto S, Mazzatenta A. Olfactory Event-Related Potentials and Exhaled Organic Volatile Compounds: The Slow Link Between Olfactory Perception and Breath Metabolic Response. A Pilot Study on Phenylethyl Alcohol and Vaseline Oil. Brain Sci 2019; 9:E84. [PMID: 30991670 PMCID: PMC6523942 DOI: 10.3390/brainsci9040084] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 04/08/2019] [Accepted: 04/12/2019] [Indexed: 12/20/2022] Open
Abstract
Olfactory processing starts with the breath and elicits neuronal, metabolic and cortical responses. This process can be investigated centrally via the Olfactory Event-Related Potentials (OERPs) and peripherally via exhaled Volatile Organic Compounds (VOCs). Despite this, the relationship between OERPs (i.e., N1 and Late Positive Component LPC) and exhaled VOCs has not been investigated enough. The aim of this research is to study OERPs and VOCs connection to two different stimuli: phenylethyl alcohol (PEA) and Vaseline Oil (VO). Fifteen healthy subjects performed a perceptual olfactory task with PEA as a smell target stimulus and VO as a neutral stimulus. The results suggest that OERPs and VOCs distributions follow the same amplitude trend and that PEA is highly arousing in both psychophysiological measures. PEA shows ampler and faster N1, a component related to the sensorial aspect of the stimulus. The N1 topographic localization is different between PEA and VO: PEA stimulus evokes greater N1 in the left centroparietal site. LPC, a component elicited by the perceptual characteristic of the stimulus, shows faster latency in the Frontal lobe and decreased amplitude in the Central and Parietal lobe elicited by the PEA smell. Moreover, the delayed time between the onset of N1-LPC and the onset of VOCs seems to be about 3 s. This delay could be identified as the internal metabolic time in which the odorous stimulus, once perceived at the cortical level, is metabolized and subsequently exhaled. Furthermore, the VO stimulus does not allocate the attentive, perceptive and metabolic resource as with PEA.
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Affiliation(s)
- Sara Invitto
- Department of Biological and Environmental Science and Technologies, University of Salento, Campus Ecotekne, Via per Monteroni, 73100 Lecce, Italy.
- DReAM Laboratory of InterDisciplinary Research Applied to Medicine, University of Salento-Vito Fazzi Hospital, 73100 Lecce, Italy.
| | - Andrea Mazzatenta
- Dipartimento di Neuroscienze, Imaging e Scienze Cliniche, Università "d'Annunzio" di Chieti-Pescara, 66100 Chieti, Italy.
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Henrich-Noack P, Nikitovic D, Neagu M, Docea AO, Engin AB, Gelperina S, Shtilman M, Mitsias P, Tzanakakis G, Gozes I, Tsatsakis A. The blood–brain barrier and beyond: Nano-based neuropharmacology and the role of extracellular matrix. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2019; 17:359-379. [DOI: 10.1016/j.nano.2019.01.016] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 01/11/2019] [Accepted: 01/28/2019] [Indexed: 12/13/2022]
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Krilaviciute A, Leja M, Kopp-Schneider A, Barash O, Khatib S, Amal H, Broza YY, Polaka I, Parshutin S, Rudule A, Haick H, Brenner H. Associations of diet and lifestyle factors with common volatile organic compounds in exhaled breath of average-risk individuals. J Breath Res 2019; 13:026006. [DOI: 10.1088/1752-7163/aaf3dc] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Ojha S, Kumar B. A review on nanotechnology based innovations in diagnosis and treatment of multiple sclerosis. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.jocit.2017.12.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Finberg JPM, Schwartz M, Jeries R, Badarny S, Nakhleh MK, Abu Daoud E, Ayubkhanov Y, Aboud-Hawa M, Broza YY, Haick H. Sensor Array for Detection of Early Stage Parkinson's Disease before Medication. ACS Chem Neurosci 2018; 9:2548-2553. [PMID: 29989795 DOI: 10.1021/acschemneuro.8b00245] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of the substantia nigra occurs. However, until now, studies for early detection of PD using volatile biomarkers sampled only treated and medicated patients. Therefore, there is a great need to evaluate untreated patients for establishing a real world screening and diagnostic technology. Here we describe for the first time a clinical trial to distinguish between de novo PD and control subjects using an electronic system for detection of volatile molecules in exhaled breath (sensor array). We further determine for the first time the association to other common tests for PD diagnostics as smell, ultrasound, and nonmotor symptoms. The test group consisted of 29 PD patients after initial diagnosis by an experienced neurologist, compared with 19 control subjects of similar age. The sensitivity, specificity, and accuracy values of the sensor array to detect PD from controls were 79%, 84%, and 81% respectively, in comparison with midbrain ultrasonography (93%, 90%, 92%) and smell detection (62%, 89%, 73%). The results confirm previous data showing the potential of sensor arrays to detect PD.
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Affiliation(s)
- John P. M. Finberg
- Neuroscience Department, Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Miguel Schwartz
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Raneen Jeries
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Samih Badarny
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Morad K. Nakhleh
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Enas Abu Daoud
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Yelena Ayubkhanov
- Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Manal Aboud-Hawa
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa 3200003, Israel
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Broza YY, Braverman I, Haick H. Breath volatolomics for diagnosing chronic rhinosinusitis. Int J Nanomedicine 2018; 13:4661-4670. [PMID: 30147315 PMCID: PMC6097827 DOI: 10.2147/ijn.s171488] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Purpose Chronic rhinosinusitis (CRS) is one of the most common chronic diseases treated by primary care physicians. It is increasingly recognized that CRS and nasal polyposis (NP) comprise several disease processes with diverse causes. Hence, subgroups of sinusitis need to be differentiated so that patients can be screened appropriately and personalized medical treatment provided. Patients and methods To address this need, we use a cross-reactive nanoarray based on either molecularly modified gold nanoparticles or molecularly modified single-walled carbon nanotubes, combined with pattern recognition for analyzing breath samples. Breath samples were collected from three groups of volunteers (total 71) at the Hillel Yaffe Medical Center: CRS, NP, and control. Results Nanoarray results discriminated between patients with sinusitis and the control group with 87% sensitivity, 83% specificity, and 85% accuracy. The system also discriminated well between the subpopulations: 1) CRS vs control (76% sensitivity, 90% specificity); 2) CRS vs NP (82% sensitivity, 71% specificity); and 3) NP vs control (71% sensitivity, 90% specificity). Conclusion This preliminary study shows that a nanoarray-based breath test for screening population for sinusitis-related conditions is feasible.
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Affiliation(s)
- Yoav Y Broza
- The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, Israel,
| | - Itzhak Braverman
- The Otolaryngology - Head & Neck Surgery Unit, The Hillel Yaffe Medical Center, The Technion Faculty of Medicine, Hadera, Israel
| | - Hossam Haick
- The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, Israel,
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Broza YY, Vishinkin R, Barash O, Nakhleh MK, Haick H. Synergy between nanomaterials and volatile organic compounds for non-invasive medical evaluation. Chem Soc Rev 2018; 47:4781-4859. [PMID: 29888356 DOI: 10.1039/c8cs00317c] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This article is an overview of the present and ongoing developments in the field of nanomaterial-based sensors for enabling fast, relatively inexpensive and minimally (or non-) invasive diagnostics of health conditions with follow-up by detecting volatile organic compounds (VOCs) excreted from one or combination of human body fluids and tissues (e.g., blood, urine, breath, skin). Part of the review provides a didactic examination of the concepts and approaches related to emerging sensing materials and transduction techniques linked with the VOC-based non-invasive medical evaluations. We also present and discuss diverse characteristics of these innovative sensors, such as their mode of operation, sensitivity, selectivity and response time, as well as the major approaches proposed for enhancing their ability as hybrid sensors to afford multidimensional sensing and information-based sensing. The other parts of the review give an updated compilation of the past and currently available VOC-based sensors for disease diagnostics. This compilation summarizes all VOCs identified in relation to sickness and sampling origin that links these data with advanced nanomaterial-based sensing technologies. Both strength and pitfalls are discussed and criticized, particularly from the perspective of the information and communication era. Further ideas regarding improvement of sensors, sensor arrays, sensing devices and the proposed workflow are also included.
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Affiliation(s)
- Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa 3200003, Israel.
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Li J, Zhu X, Yu K, Jiang H, Zhang Y, Wang B, Liu X, Deng S, Hu J, Deng Q, Sun H, Guo H, Zhang X, Chen W, Yuan J, He M, Bai Y, Han X, Liu B, Liu C, Guo Y, Zhang B, Zhang Z, Hu FB, Gao W, Li L, Lathrop M, Laprise C, Liang L, Wu T. Exposure to Polycyclic Aromatic Hydrocarbons and Accelerated DNA Methylation Aging. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:067005. [PMID: 29906262 PMCID: PMC6108582 DOI: 10.1289/ehp2773] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 04/19/2018] [Accepted: 04/26/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Aging is related to an increased risk of morbidity and mortality and is affected by environmental factors. Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with adverse health outcomes; but the association of such exposure with DNA methylation aging, a novel aging marker, is unclear. OBJECTIVES Our aim was to investigate the association of PAH exposure with methylation aging. METHODS We trained and validated a methylation age predictor suitable for Chinese populations using whole blood methylation data in 989 Chinese and 160 Caucasians. We defined two aging indicators: δage, as methylation age minus chronological age; and aging rate, the ratio of methylation to chronological age. The association of PAH exposure with aging indicators was evaluated using linear regressions in three panels of healthy Chinese participants (N=539, among the aforementioned 989 Chinese participants) whose exposure levels were assessed by 10 urinary monohydroxy-PAH metabolites. RESULTS We developed a methylation age predictor providing accurate predictions in both Chinese individuals and Caucasian persons (R=0.94-0.96, RMSE=3.8-4.3). Among the 10 urinary metabolites that we measured, 1-hydroxypyrene and 9-hydroxyphenanthrene were associated with methylation aging independently of other OH-PAHs and risk factors; 1-unit increase in 1-hydroxypyrene was associated with a 0.53-y increase in Δage [95% confidence interval (CI): 0.18, 0.88; false discovery rate (FDR) FDR=0.004] and 1.17% increase in aging rate (95% CI: 0.36, 1.98; FDR=0.02), whereas for 9-hydroxyphenanthrene, the increase was 0.54-y for Δage (95% CI: 0.17, 0.91; FDR=0.004), and 1.15% for aging rate (95% CI: 0.31, 1.99; FDR=0.02). The association direction was consistent across the three Chinese panels with the association magnitude correlating with the panels' exposure levels; the association was validated by methylation data of purified leukocytes. Several cytosine-phosphoguanines, including those located on FHL2 and ELOVL2, were found associated with both aging indicators and monohydroxy-PAH levels. CONCLUSIONS We developed a methylation age predictor specific for Chinese populations but also accurate for Caucasian populations. Our findings suggest that exposure to PAHs may be associated with an adverse impact on human aging and epigenetic alterations in Chinese populations. https://doi.org/10.1289/EHP2773.
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Affiliation(s)
- Jun Li
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Xiaoyan Zhu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangshu, China
| | - Kuai Yu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Haijing Jiang
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yizhi Zhang
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Biqi Wang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Xuezhen Liu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Siyun Deng
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jie Hu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qifei Deng
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huizhen Sun
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huan Guo
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Chen
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jing Yuan
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meian He
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yansen Bai
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xu Han
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bing Liu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chuanyao Liu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yanjun Guo
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bing Zhang
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhihong Zhang
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China
| | - Mark Lathrop
- Department of Human Genetics, McGill University and Génome Québec Innovation Centre, Montréal, Canada
| | - Catherine Laprise
- Department of Fundamental Sciences, Université du Québec, Chicoutimi, Québec, Canada
- Centre intégré universitaire de santé et services sociaux du Saguenay–Lac-Saint-Jean, Saguenay, Québec, Canada
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Tangchun Wu
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Shifting paradigms in multiple sclerosis: from disease-specific, through population-specific toward patient-specific. Curr Opin Neurol 2018; 29:354-61. [PMID: 27070218 DOI: 10.1097/wco.0000000000000324] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW In recent years we notice paradigm shifts in the understanding of multiple sclerosis (MS), leading to important transition in the patients' management. This review discusses some of the recent findings and developments underlying the conceptual changes being translated from 'treating the disease' to 'treating the patient' with MS (PwMS). RECENT FINDINGS Applying advanced technologies combined with cross-disciplinary efforts in the fields of neuropathology, neuroimmunology, neurobiology, and neuroimaging, together with clinical neurology provided support for the notion that MS is not a single disease but rather a spectrum. Predictive markers of disease subtypes, disease activity and response to therapy are being developed; some already applied to practice, allowing informed management. In parallel, population-specific issues, some genetic-driven, others caused by environmental (sun-exposure, life-style, etc.), gender-related (hormones) and epigenetic factors, are being elucidated. Additionally, patient empowerment-based approaches, including integration of patient-reported outcome measures (PRO) as well as tools to enhance patients' adherence to medications, are being developed, some already provided as part of emerging mobile-health technologies. SUMMARY Developments in the MS field, elucidating disease subtypes and interpopulation diversities, together with integration of patient-centered approaches, allow transition toward precision medicine in MS clinical trials and patient care.
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38
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Design and Construction of Electronic Nose for Multi-purpose Applications by Sensor Array Arrangement Using IBGSA. J INTELL ROBOT SYST 2017. [DOI: 10.1007/s10846-017-0759-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Fitzgerald J, Fenniri H. Cutting Edge Methods for Non-Invasive Disease Diagnosis Using E-Tongue and E-Nose Devices. BIOSENSORS 2017; 7:E59. [PMID: 29215588 PMCID: PMC5746782 DOI: 10.3390/bios7040059] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 10/26/2017] [Accepted: 12/02/2017] [Indexed: 02/07/2023]
Abstract
Biomimetic cross-reactive sensor arrays (B-CRSAs) have been used to detect and diagnose a wide variety of diseases including metabolic disorders, mental health diseases, and cancer by analyzing both vapor and liquid patient samples. Technological advancements over the past decade have made these systems selective, sensitive, and affordable. To date, devices for non-invasive and accurate disease diagnosis have seen rapid improvement, suggesting a feasible alternative to current standards for medical diagnostics. This review provides an overview of the most recent B-CRSAs for diagnostics (also referred to electronic noses and tongues in the literature) and an outlook for future technological development.
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Affiliation(s)
- Jessica Fitzgerald
- Department of Chemical Engineering, Northeastern University, 313 Snell Engineering Center, 360 Huntington Avenue, Boston, MA 02115, USA.
| | - Hicham Fenniri
- Department of Chemical Engineering, Northeastern University, 313 Snell Engineering Center, 360 Huntington Avenue, Boston, MA 02115, USA.
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40
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Broza YY, Har-Shai L, Jeries R, Cancilla JC, Glass-Marmor L, Lejbkowicz I, Torrecilla JS, Yao X, Feng X, Narita A, Müllen K, Miller A, Haick H. Exhaled Breath Markers for Nonimaging and Noninvasive Measures for Detection of Multiple Sclerosis. ACS Chem Neurosci 2017; 8:2402-2413. [PMID: 28768105 DOI: 10.1021/acschemneuro.7b00181] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Multiple sclerosis (MS) is the most common chronic neurological disease affecting young adults. MS diagnosis is based on clinical characteristics and confirmed by examination of the cerebrospinal fluids (CSF) or by magnetic resonance imaging (MRI) of the brain or spinal cord or both. However, neither of the current diagnostic procedures are adequate as a routine tool to determine disease state. Thus, diagnostic biomarkers are needed. In the current study, a novel approach that could meet these expectations is presented. The approach is based on noninvasive analysis of volatile organic compounds (VOCs) in breath. Exhaled breath was collected from 204 participants, 146 MS and 58 healthy control individuals. Analysis was performed by gas-chromatography mass-spectrometry (GC-MS) and nanomaterial-based sensor array. Predictive models were derived from the sensors, using artificial neural networks (ANNs). GC-MS analysis revealed significant differences in VOC abundance between MS patients and controls. Sensor data analysis on training sets was able to discriminate in binary comparisons between MS patients and controls with accuracies up to 90%. Blinded sets showed 95% positive predictive value (PPV) between MS-remission and control, 100% sensitivity with 100% negative predictive value (NPV) between MS not-treated (NT) and control, and 86% NPV between relapse and control. Possible links between VOC biomarkers and the MS pathogenesis were established. Preliminary results suggest the applicability of a new nanotechnology-based method for MS diagnostics.
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Affiliation(s)
- Yoav Y. Broza
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 32000003, Israel
| | - Lior Har-Shai
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Raneen Jeries
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 32000003, Israel
| | - John C. Cancilla
- Departamento de
Ingeniería Química,
Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Lea Glass-Marmor
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Izabella Lejbkowicz
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - José S. Torrecilla
- Departamento de
Ingeniería Química,
Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Xuelin Yao
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Xinliang Feng
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Akimitsu Narita
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Klaus Müllen
- Max Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany
| | - Ariel Miller
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center, Haifa 34362, Israel
- Rappaport Faculty of Medicine & Research Institute, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Hossam Haick
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 32000003, Israel
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41
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Jin H, Abu-Raya YS, Haick H. Advanced Materials for Health Monitoring with Skin-Based Wearable Devices. Adv Healthc Mater 2017; 6. [PMID: 28371294 DOI: 10.1002/adhm.201700024] [Citation(s) in RCA: 119] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 02/14/2017] [Indexed: 12/16/2022]
Abstract
Skin-based wearable devices have a great potential that could result in a revolutionary approach to health monitoring and diagnosing disease. With continued innovation and intensive attention to the materials and fabrication technologies, development of these healthcare devices is progressively encouraged. This article gives a concise, although admittedly non-exhaustive, didactic review of some of the main concepts and approaches related to recent advances and developments in the scope of skin-based wearable devices (e.g. temperature, strain, biomarker-analysis werable devices, etc.), with an emphasis on emerging materials and fabrication techniques in the relevant fields. To give a comprehensive statement, part of the review presents and discusses different aspects of these advanced materials, such as the sensitivity, biocompatibility and durability as well as the major approaches proposed for enhancing their chemical and physical properties. A complementary section of the review linking these advanced materials with wearable device technologies is particularly specified. Some of the strong and weak points in development of each wearable material/device are highlighted and criticized. Several ideas regarding further improvement of skin-based wearable devices are also discussed.
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Affiliation(s)
- Han Jin
- Department of Chemical Engineering; Technion - Israel Institute of Technology; Haifa 3200003 Israel
- Faculty of Information Science and Engineering; Ningbo University; Ningbo 315211 P. R. China
| | - Yasmin Shibli Abu-Raya
- Department of Chemical Engineering and The Russell Berrie Nanotechnology Institute; Technion - Israel Institute of Technology; Haifa 3200003 Israel
| | - Hossam Haick
- Department of Chemical Engineering and The Russell Berrie Nanotechnology Institute; Technion - Israel Institute of Technology; Haifa 3200003 Israel
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42
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Nakhleh M, Amal H, Jeries R, Broza YY, Aboud M, Gharra A, Ivgi H, Khatib S, Badarneh S, Har-Shai L, Glass-Marmor L, Lejbkowicz I, Miller A, Badarny S, Winer R, Finberg J, Cohen-Kaminsky S, Perros F, Montani D, Girerd B, Garcia G, Simonneau G, Nakhoul F, Baram S, Salim R, Hakim M, Gruber M, Ronen O, Marshak T, Doweck I, Nativ O, Bahouth Z, Shi DY, Zhang W, Hua QL, Pan YY, Tao L, Liu H, Karban A, Koifman E, Rainis T, Skapars R, Sivins A, Ancans G, Liepniece-Karele I, Kikuste I, Lasina I, Tolmanis I, Johnson D, Millstone SZ, Fulton J, Wells JW, Wilf LH, Humbert M, Leja M, Peled N, Haick H. Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules. ACS NANO 2017; 11:112-125. [PMID: 28000444 PMCID: PMC5269643 DOI: 10.1021/acsnano.6b04930] [Citation(s) in RCA: 256] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Accepted: 12/02/2016] [Indexed: 05/17/2023]
Abstract
We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined. Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories. The effect of confounding clinical and environmental factors on the performance of the nanoarray did not significantly alter the obtained results. The diagnosis and classification power of the nanoarray was also validated by an independent analytical technique, i.e., gas chromatography linked with mass spectrometry. This analysis found that 13 exhaled chemical species, called volatile organic compounds, are associated with certain diseases, and the composition of this assembly of volatile organic compounds differs from one disease to another. Overall, these findings could contribute to one of the most important criteria for successful health intervention in the modern era, viz. easy-to-use, inexpensive (affordable), and miniaturized tools that could also be used for personalized screening, diagnosis, and follow-up of a number of diseases, which can clearly be extended by further development.
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Affiliation(s)
- Morad
K. Nakhleh
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Haitham Amal
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Raneen Jeries
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, 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
| | - Manal Aboud
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Alaa Gharra
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Hodaya Ivgi
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Salam Khatib
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Shifaa Badarneh
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| | - Lior Har-Shai
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Lea Glass-Marmor
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Izabella Lejbkowicz
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Ariel Miller
- Division of Neuroimmunology and Multiple
Sclerosis Center, Carmel Medical Center and Rappaport Family Faculty
of Medicine, Technion−Israel Institute
of Technology, Haifa 31096, Israel
| | - Samih Badarny
- Movement
Disorders Clinic, Department of Neurology, Carmel Medical Center,
and Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Raz Winer
- Movement
Disorders Clinic, Department of Neurology, Carmel Medical Center,
and Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - John Finberg
- Department of Molecular Pharmacology, Rappaport
Family Faculty of Medicine, Technion−Israel
Institute of Technology, Haifa 31096, Israel
| | - Sylvia Cohen-Kaminsky
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - Frédéric Perros
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - David Montani
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - Barbara Girerd
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - Gilles Garcia
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - Gérald Simonneau
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - Farid Nakhoul
- Department of
Nephrology and Hypertension Baruch Padeh
Medical Center, Poriya 15208, Israel
| | - Shira Baram
- Department of Obstetrics
and Gynecology, Emek Medical Center, Afula 18101, and Rappaport Family
Faculty of Medicine, Technion−Israel
Institute of Technology, Haifa 31096, Israel
| | - Raed Salim
- Department of Obstetrics
and Gynecology, Emek Medical Center, Afula 18101, and Rappaport Family
Faculty of Medicine, Technion−Israel
Institute of Technology, Haifa 31096, Israel
| | - Marwan Hakim
- Department
of Obstetrics and Gynecology, Nazareth Hospital EMMS, Nazareth, and
Faculty of Medicine in the Galilee, Bar
Ilan University, Ramat
Gan, Israel
| | - Maayan Gruber
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Ohad Ronen
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Tal Marshak
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Ilana Doweck
- The Department of Otolaryngology Head and
Neck Surgery, Carmel Medical Center, Haifa 3436212, Israel
| | - Ofer Nativ
- Department of Urology, Bnai Zion Medical Center, Haifa 31048, Israel
| | - Zaher Bahouth
- Department of Urology, Bnai Zion Medical Center, Haifa 31048, Israel
| | - Da-you Shi
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Wei Zhang
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Qing-ling Hua
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Yue-yin Pan
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Li Tao
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Hu Liu
- Department
of Oncology, The First Affiliated Hospital
of Anhui Medical University, Hefei 230032, China
| | - Amir Karban
- Internal Medicine C and Gastroenterology Departments,
Rambam Medical Center, Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 3525408, Israel
| | - Eduard Koifman
- Internal Medicine C and Gastroenterology Departments,
Rambam Medical Center, Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 3525408, Israel
| | - Tova Rainis
- Department of Gastroenterology, Bnai Zion
Hospital and Rappaport Family Faculty of Medicine, Technion−Israel Institute of Technology, Haifa 31096, Israel
| | - Roberts Skapars
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Armands Sivins
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Guntis Ancans
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Inta Liepniece-Karele
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Ilze Kikuste
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
- Digestive Diseases
Centre, GASTRO, 6 Linezeraiela, LV1006 Riga, Latvia
| | - Ieva Lasina
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
| | - Ivars Tolmanis
- Digestive Diseases
Centre, GASTRO, 6 Linezeraiela, LV1006 Riga, Latvia
| | - Douglas Johnson
- Department of Radiation
Oncology, Baptist Cancer Institute (BCI), 1235 San Marco Boulevard, Suite100, Jacksonville, Florida 32207, United States
| | - Stuart Z. Millstone
- Pulmonary
and Critical Care Associates, Orange Park, Florida 32073, United States
| | - Jennifer Fulton
- Pulmonary Diseases, Baptist Medical Center, Jacksonville, Florida 32217, United States
| | - John W. Wells
- Pulmonary
and Critical Care Associates, Orange Park, Florida 32073, United States
| | - Larry H. Wilf
- Oncologic Imaging Division, Florida Radiation Oncology Group, Jacksonville, Florida 32217, United States
| | - Marc Humbert
- Univ. Paris-Sud, Faculté
de Médecine, Université Paris-Saclay, AP-HP, Centre National de Référence
de l′Hypertension Pulmonaire Sévère, Département
Hospitalo-Universitaire (DHU) Thorax Innovation, Service de Pneumologie,
Hôpital de Bicêtre, UMRS _999, INSERM and Univ. Paris−Sud,
Laboratoire d’Excellence (LabEx) en Recherche sur le Médicament
et l′Innovation Thérapeutique (LERMIT), Centre Chirurgical
Marie Lannelongue, Le Plessis Robinson 92350, France
| | - Marcis Leja
- Faculty of Medicine, University of Latvia, Digestive Diseases, Riga East University Hospital, 19 Rainisboulv, LV1586 Riga, Latvia
- Digestive Diseases
Centre, GASTRO, 6 Linezeraiela, LV1006 Riga, Latvia
| | - Nir Peled
- Thoracic
Cancer Unit, Davidoff Cancer Center, RMC, Kaplan Street, Petach Tiqwa 49100, Israel
| | - Hossam Haick
- Department of Chemical
Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, Haifa 3200003, Israel
| |
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43
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Mahdavian L, Mousavi SE. Diameter of Single-Walled Carbon Nanotubes (SWCNTs) as an Effective Factor in the Detection and Degradation of PCBs. Polycycl Aromat Compd 2016. [DOI: 10.1080/10406638.2016.1255235] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Leila Mahdavian
- Department of Chemistry, Doroud Branch, Islamic Azad University, Doroud, Iran
| | - Sayed Esmaeil Mousavi
- Department of Environmental Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran
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44
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Fitzgerald JE, Bui ETH, Simon NM, Fenniri H. Artificial Nose Technology: Status and Prospects in Diagnostics. Trends Biotechnol 2016; 35:33-42. [PMID: 27612567 DOI: 10.1016/j.tibtech.2016.08.005] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 07/22/2016] [Accepted: 08/15/2016] [Indexed: 12/30/2022]
Abstract
Biomimetic crossreactive sensor arrays have been used to detect and analyze a wide variety of vapor and liquid components in applications such as food science, public health and safety, and diagnostics. As technology has advanced over the past three decades, these systems have become selective, sensitive, and affordable. Currently, the need for noninvasive and accurate devices for early disease diagnosis remains a challenge. This Opinion article provides an overview of the various types of biomimetic crossreactive sensor arrays (also referred to as electronic noses or tongues in the literature), their current use and future directions, and an outlook for future technological development.
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Affiliation(s)
- Jessica E Fitzgerald
- Department of Bioengineering and Department of Chemical Engineering, Northeastern University, 360 Huntington Avenue, Boston, MA 02115-5000, USA
| | - Eric T H Bui
- Harvard Medical School, Center for Anxiety and Traumatic Stress Disorders, Massachusetts General Hospital and Harvard Medical School, 1 Bowdoin Square, Boston, MA 02114, USA
| | - Naomi M Simon
- Harvard Medical School, Center for Anxiety and Traumatic Stress Disorders, Massachusetts General Hospital and Harvard Medical School, 1 Bowdoin Square, Boston, MA 02114, USA
| | - Hicham Fenniri
- Department of Bioengineering and Department of Chemical Engineering, Northeastern University, 360 Huntington Avenue, Boston, MA 02115-5000, USA.
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45
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Karban A, Nakhleh MK, Cancilla JC, Vishinkin R, Rainis T, Koifman E, Jeries R, Ivgi H, Torrecilla JS, Haick H. Programmed Nanoparticles for Tailoring the Detection of Inflammatory Bowel Diseases and Irritable Bowel Syndrome Disease via Breathprint. Adv Healthc Mater 2016; 5:2339-44. [PMID: 27390291 DOI: 10.1002/adhm.201600588] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 06/14/2016] [Indexed: 12/17/2022]
Abstract
Chemical sensors based on programmable molecularly modified gold nanoparticles are tailored for the detection and discrimination between the breathprint of irritable bowel syndrome (IBS) and inflammatory bowel diseases (IBD). The sensors are examined in both lab- and real-world clinical conditions. The results reveal a discriminative power accuracy of 81% between IBD and IBS and 75% between Crohn's and Colitis states.
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Affiliation(s)
- Amir Karban
- Internal Medicine C and Gastroenterology Departments at Rambam Medical Center, Rappaport School of Medicine at Technion-Israel Institute of Technology, Haifa, 3109610, Israel
| | - Morad K Nakhleh
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - John C Cancilla
- Department of Chemical Engineering, Complutense University of Madrid, Madrid, 28040, Spain
| | - Rotem Vishinkin
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Tova Rainis
- Department of Gastroenterology at Bnai Zion Hospital, Rappaport School of Medicine at Technion-Israel Institute of Technology, Haifa, 31048, Israel
| | - Eduard Koifman
- Internal Medicine C and Gastroenterology Departments at Rambam Medical Center, Rappaport School of Medicine at Technion-Israel Institute of Technology, Haifa, 3109610, Israel
| | - Raneen Jeries
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Hodaya Ivgi
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Jose S Torrecilla
- Department of Chemical Engineering, Complutense University of Madrid, Madrid, 28040, Spain
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.
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Shehada N, Cancilla JC, Torrecilla JS, Pariente ES, Brönstrup G, Christiansen S, Johnson DW, Leja M, Davies MPA, Liran O, Peled N, Haick H. Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath. ACS NANO 2016; 10:7047-57. [PMID: 27383408 DOI: 10.1021/acsnano.6b03127] [Citation(s) in RCA: 105] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Two of the biggest challenges in medicine today are the need to detect diseases in a noninvasive manner and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularly modified silicon nanowire field effect transistor (SiNW FET) and showing its use in the detection and classification of many disease breathprints (lung cancer, gastric cancer, asthma, and chronic obstructive pulmonary disease). The fabricated SiNW FETs are characterized and optimized based on a training set that correlate their sensitivity and selectivity toward volatile organic compounds (VOCs) linked with the various disease breathprints. The best sensors obtained in the training set are then examined under real-world clinical conditions, using breath samples from 374 subjects. Analysis of the clinical samples show that the optimized SiNW FETs can detect and discriminate between almost all binary comparisons of the diseases under examination with >80% accuracy. Overall, this approach has the potential to support detection of many diseases in a direct harmless way, which can reassure patients and prevent numerous unpleasant investigations.
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Affiliation(s)
- Nisreen Shehada
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology , Haifa 3200003, Israel
| | - John C Cancilla
- Department of Chemical Engineering, Complutense University of Madrid , Madrid 28040, Spain
| | - Jose S Torrecilla
- Department of Chemical Engineering, Complutense University of Madrid , Madrid 28040, Spain
| | - Enrique S Pariente
- Department of Chemical Engineering, Complutense University of Madrid , Madrid 28040, Spain
| | - Gerald Brönstrup
- Max-Planck-Institute for the Science of Light , Günther-Scharowsky-Strasse 1, Erlangen 91058, Germany
| | - Silke Christiansen
- Max-Planck-Institute for the Science of Light , Günther-Scharowsky-Strasse 1, Erlangen 91058, Germany
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH , Hahn-Meitner-Platz 1, 14109 Berlin, Germany
| | - Douglas W Johnson
- Florida Radiation Oncology Group, Department of Radiation Oncology, Baptist Cancer Institute (BCI) , 1235 San Marco Boulevard., Suite 100, Jacksonville, Florida 32207, United States
| | - Marcis Leja
- Faculty of Medicine, University of Latvia , 19 Raiņa boulv., LV1586 Riga, Latvia
- Department of Research, Riga East University Hospital , 6 Linezera iela, LV1006 Riga, Latvia
- Digestive Diseases Centre GASTRO , Riga, Latvia. 6 Linezera iela, LV1006 Riga, Latvia
| | - Michael P A Davies
- Molecular & Clinical Cancer Medicine, University of Liverpool , William Duncan Building, 6 West Derby Street, Liverpool L7 8TX, United Kingdom
| | - Ori Liran
- Thoracic Cancer Unit, Davidoff cancer center, Petah Tiqwa and the Tel Aviv University , Tel Aviv, Israel
| | - Nir Peled
- Thoracic Cancer Unit, Davidoff cancer center, Petah Tiqwa and the Tel Aviv University , Tel Aviv, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology , Haifa 3200003, Israel
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47
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Ibitoye R, Kemp K, Rice C, Hares K, Scolding N, Wilkins A. Oxidative stress-related biomarkers in multiple sclerosis: a review. Biomark Med 2016; 10:889-902. [PMID: 27416337 DOI: 10.2217/bmm-2016-0097] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AIM To provide an up-to-date review of oxidative stress biomarkers in multiple sclerosis and thus identify candidate molecules with greatest promise as biomarkers of diagnosis, disease activity or prognosis. METHOD A semi-systematic literature search using PubMed and other databases. RESULTS Nitric oxide metabolites, superoxide dismutase, catalase, glutathione reductase, inducible nitric oxide synthase, protein carbonyl, 3-nitrotyrosine, isoprostanes, malondialdehyde and products of DNA oxidation have been identified across multiple studies as having promise as diagnostic, therapeutic or prognostic markers in MS. CONCLUSION Heterogeneity of study design, particularly patient selection, limits comparability across studies. Further cohort studies are needed, and we would recommend promising markers be incorporated into future clinical trials to prospectively validate their potential.
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Affiliation(s)
- Richard Ibitoye
- Institute of Clinical Neurosciences, University of Bristol/Level 1, Learning & Research, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, UK
| | - Kevin Kemp
- Institute of Clinical Neurosciences, University of Bristol/Level 1, Learning & Research, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, UK
| | - Claire Rice
- Institute of Clinical Neurosciences, University of Bristol/Level 1, Learning & Research, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, UK
| | - Kelly Hares
- Institute of Clinical Neurosciences, University of Bristol/Level 1, Learning & Research, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, UK
| | - Neil Scolding
- Institute of Clinical Neurosciences, University of Bristol/Level 1, Learning & Research, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, UK
| | - Alastair Wilkins
- Institute of Clinical Neurosciences, University of Bristol/Level 1, Learning & Research, Southmead Hospital, Southmead Road, Bristol, BS10 5NB, UK
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48
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Sivalingam Y, Elumalai P, Yuvaraj SV, Magna G, Sowmya VJ, Paolesse R, Chi KW, Kawazoe Y, Di Natale C. Interaction of VOCs with pyrene tetratopic ligands layered on ZnO nanorods under visible light. J Photochem Photobiol A Chem 2016. [DOI: 10.1016/j.jphotochem.2016.02.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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49
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Duarte L, Nag S, Castro M, Zaborova E, Ménand M, Sollogoub M, Bennevault V, Feller JF, Guégan P. Chemical Sensors Based on New Polyamides Biobased on (Z) Octadec-9-Enedioic Acid and β-Cyclodextrin. MACROMOL CHEM PHYS 2016. [DOI: 10.1002/macp.201600102] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Lisday Duarte
- Laboratoire Analyses et Modélisation pour la Biologie et l'Environnement (UMR 8587); University of Evry; 91025 Evry Cedex France
| | - Sananda Nag
- Smart Plastics Group; European University of Brittany; LIMATB-UBS; 56321 Lorient France
| | - Mickaël Castro
- Smart Plastics Group; European University of Brittany; LIMATB-UBS; 56321 Lorient France
| | - Elena Zaborova
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
| | - Mickaël Ménand
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
| | - Matthieu Sollogoub
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
| | - Véronique Bennevault
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
- University of Evry; 91025 Evry France
| | - Jean-Francois Feller
- Smart Plastics Group; European University of Brittany; LIMATB-UBS; 56321 Lorient France
| | - Philippe Guégan
- Sorbonne Universités; UPMC Univ Paris 06; Institut Parisien de Chimie Moléculaire (UMR-CNRS 8232); Team Chimie des polymères; 75252 Paris cedex France
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50
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Fitzgerald JE, Zhu J, Bravo-Vasquez JP, Fenniri H. Cross-reactive, self-encoded polymer film arrays for sensor applications. RSC Adv 2016. [DOI: 10.1039/c6ra13874h] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Simple and versatile spectroscopically-encoded styrene-based polymers are the basis for advanced e-Nose sensor array technology.
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Affiliation(s)
- Jessica E. Fitzgerald
- Department of Chemical Engineering
- Northeastern University
- 313 Snell Engineering Research Center
- Boston
- USA
| | - Jintao Zhu
- Department of Chemistry and National Institute for Nanotechnology
- University of Alberta
- Edmonton
- Canada
| | - Juan Pablo Bravo-Vasquez
- Department of Chemistry and National Institute for Nanotechnology
- University of Alberta
- Edmonton
- Canada
| | - Hicham Fenniri
- Department of Chemical Engineering
- Northeastern University
- 313 Snell Engineering Research Center
- Boston
- USA
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