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Wang Y, Haick H, Guo S, Wang C, Lee S, Yokota T, Someya T. Skin bioelectronics towards long-term, continuous health monitoring. Chem Soc Rev 2022; 51:3759-3793. [PMID: 35420617 DOI: 10.1039/d2cs00207h] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Skin bioelectronics are considered as an ideal platform for personalised healthcare because of their unique characteristics, such as thinness, light weight, good biocompatibility, excellent mechanical robustness, and great skin conformability. Recent advances in skin-interfaced bioelectronics have promoted various applications in healthcare and precision medicine. Particularly, skin bioelectronics for long-term, continuous health monitoring offer powerful analysis of a broad spectrum of health statuses, providing a route to early disease diagnosis and treatment. In this review, we discuss (1) representative healthcare sensing devices, (2) material and structure selection, device properties, and wireless technologies of skin bioelectronics towards long-term, continuous health monitoring, (3) healthcare applications: acquisition and analysis of electrophysiological, biophysical, and biochemical signals, and comprehensive monitoring, and (4) rational guidelines for the design of future skin bioelectronics for long-term, continuous health monitoring. Long-term, continuous health monitoring of advanced skin bioelectronics will open unprecedented opportunities for timely disease prevention, screening, diagnosis, and treatment, demonstrating great promise to revolutionise traditional medical practices.
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Affiliation(s)
- Yan Wang
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology (GTIIT), Shantou, Guangdong 515063, China.,Technion-Israel Institute of Technology (IIT), Haifa 32000, Israel.,Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan. .,Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion - Israel Institute of Technology, Shantou, Guangdong 515063, China
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Shuyang Guo
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
| | - Chunya Wang
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
| | - Sunghoon Lee
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
| | - Tomoyuki Yokota
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
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Non-Invasive Diagnosis of Diabetes by Volatile Organic Compounds in Urine Using FAIMS and Fox4000 Electronic Nose. BIOSENSORS-BASEL 2018; 8:bios8040121. [PMID: 30513787 PMCID: PMC6316010 DOI: 10.3390/bios8040121] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 11/07/2018] [Accepted: 11/19/2018] [Indexed: 11/30/2022]
Abstract
The electronic nose (eNose) is an instrument designed to mimic the human olfactory system. Usage of eNose in medical applications is more popular than ever, due to its low costs and non-invasive nature. The eNose sniffs the gases and vapours that emanate from human waste (urine, breath, and stool) for the diagnosis of variety of diseases. Diabetes mellitus type 2 (DM2) affects 8.3% of adults in the world, with 43% being underdiagnosed, resulting in 4.9 million deaths per year. In this study, we investigated the potential of urinary volatile organic compounds (VOCs) as novel non-invasive diagnostic biomarker for diabetes. In addition, we investigated the influence of sample age on the diagnostic accuracy of urinary VOCs. We analysed 140 urine samples (73 DM2, 67 healthy) with Field-Asymmetric Ion Mobility Spectrometry (FAIMS); a type of eNose; and FOX 4000 (AlphaM.O.S, Toulouse, France). Urine samples were collected at UHCW NHS Trust clinics over 4 years and stored at −80 °C within two hours of collection. Four different classifiers were used for classification, specifically Sparse Logistic Regression, Random Forest, Gaussian Process, and Support Vector on both FAIMS and FOX4000. Both eNoses showed their capability of diagnosing DM2 from controls and the effect of sample age on the discrimination. FAIMS samples were analysed for all samples aged 0–4 years (AUC: 88%, sensitivity: 87%, specificity: 82%) and then sub group samples aged less than a year (AUC (Area Under the Curve): 94%, Sensitivity: 92%, specificity: 100%). FOX4000 samples were analysed for all samples aged 0–4 years (AUC: 85%, sensitivity: 77%, specificity: 85%) and a sub group samples aged less than 18 months: (AUC: 94%, sensitivity: 90%, specificity: 89%). We demonstrated that FAIMS and FOX 4000 eNoses can discriminate DM2 from controls using urinary VOCs. In addition, we showed that urine sample age affects discriminative accuracy.
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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: 112] [Impact Index Per Article: 18.7] [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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Monteiro M, Moreira N, Pinto J, Pires-Luís AS, Henrique R, Jerónimo C, Bastos MDL, Gil AM, Carvalho M, Guedes de Pinho P. GC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patients. J Cell Mol Med 2017; 21:2092-2105. [PMID: 28378454 PMCID: PMC5571542 DOI: 10.1111/jcmm.13132] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 01/20/2017] [Indexed: 12/20/2022] Open
Abstract
The analysis of volatile organic compounds (VOCs) emanating from biological samples appears as one of the most promising approaches in metabolomics for the study of diseases, namely cancer. In fact, it offers advantages, such as non‐invasiveness and robustness for high‐throughput applications. The purpose of this work was to study the urinary volatile metabolic profile of patients with renal cell carcinoma (RCC) (n = 30) and controls (n = 37) with the aim of identifying a potential specific urinary volatile pattern as a non‐invasive strategy to detect RCC. Moreover, the effect of some confounding factors such as age, gender, smoking habits and body mass index was evaluated as well as the ability of urinary VOCs to discriminate RCC subtypes and stages. A headspace solid‐phase microextraction/gas chromatography–mass spectrometry‐based method was performed, followed by multivariate data analysis. A variable selection method was applied to reduce the impact of potential redundant and noisy chromatographic variables, and all models were validated by Monte Carlo cross‐validation and permutation tests. Regarding the effect of RCC on the urine VOCs composition, a panel of 21 VOCs descriptive of RCC was defined, capable of discriminating RCC patients from controls in principal component analysis. Discriminant VOCs were further individually validated in two independent samples sets (nine RCC patients and 12 controls, seven RCC patients with diabetes mellitus type 2) by univariate statistical analysis. Two VOCs were found consistently and significantly altered between RCC and controls (2‐oxopropanal and, according to identification using NIST14, 2,5,8‐trimethyl‐1,2,3,4‐tetrahydronaphthalene‐1‐ol), strongly suggesting enhanced potential as RCC biomarkers. Gender, smoking habits and body mass index showed negligible and age‐only minimal effects on the urinary VOCs, compared to the deviations resultant from the disease. Moreover, in this cohort, the urinary volatilome did not show ability to discriminate RCC stages and histological subtypes. The results validated the value of urinary volatilome for the detection of RCC and advanced with the identification of potential RCC urinary biomarkers.
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Affiliation(s)
- Márcia Monteiro
- UCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Nathalie Moreira
- UCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Joana Pinto
- UCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Ana S Pires-Luís
- Cancer Biology & Epigenetics Group, Portuguese Oncology Institute of Porto (IPOPorto), Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPOPorto), Porto, Portugal
| | - Rui Henrique
- Cancer Biology & Epigenetics Group, Portuguese Oncology Institute of Porto (IPOPorto), Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPOPorto), Porto, Portugal.,Department of Pathology and Molecular Immunology-Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group, Portuguese Oncology Institute of Porto (IPOPorto), Porto, Portugal.,Department of Pathology and Molecular Immunology-Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - Maria de Lourdes Bastos
- UCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Ana M Gil
- CICECO-Instituto de Materiais de Aveiro (CICECO/UA), Departamento de Química, Universidade de Aveiro, Aveiro, Portugal
| | - Márcia Carvalho
- UCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal.,UFP Energy, Environment and Health Research Unit (FP-ENAS), Universidade Fernando Pessoa, Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO@REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Porto, Portugal
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Covington JA, Wedlake L, Andreyev J, Ouaret N, Thomas MG, Nwokolo CU, Bardhan KD, Arasaradnam RP. The detection of patients at risk of gastrointestinal toxicity during pelvic radiotherapy by electronic nose and FAIMS: a pilot study. SENSORS (BASEL, SWITZERLAND) 2012; 12:13002-18. [PMID: 23201982 PMCID: PMC3545553 DOI: 10.3390/s121013002] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2012] [Revised: 09/10/2012] [Accepted: 09/10/2012] [Indexed: 12/31/2022]
Abstract
It is well known that the electronic nose can be used to identify differences between human health and disease for a range of disorders. We present a pilot study to investigate if the electronic nose and a newer technology, FAIMS (Field Asymmetric Ion Mobility Spectrometry), can be used to identify and help inform the treatment pathway for patients receiving pelvic radiotherapy, which frequently causes gastrointestinal side-effects, severe in some. From a larger group, 23 radiotherapy patients were selected where half had the highest levels of toxicity and the others the lowest. Stool samples were obtained before and four weeks after radiotherapy and the volatiles and gases emitted analysed by both methods; these chemicals are products of fermentation caused by gut microflora. Principal component analysis of the electronic nose data and wavelet transform followed by Fisher discriminant analysis of FAIMS data indicated that it was possible to separate patients after treatment by their toxicity levels. More interestingly, differences were also identified in their pre-treatment samples. We believe these patterns arise from differences in gut microflora where some combinations of bacteria result to give this olfactory signature. In the future our approach may result in a technique that will help identify patients at "high risk" even before radiation treatment is started.
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Affiliation(s)
- James A. Covington
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; E-Mails: (N.O.); (M.G.T.)
| | - Linda Wedlake
- Department of Nutrition and Dietetics and the GI Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London SW3 6JJ, UK; E-Mails: (L.W.); (J.A.); (R.P.A.)
| | - Jervoise Andreyev
- Department of Nutrition and Dietetics and the GI Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London SW3 6JJ, UK; E-Mails: (L.W.); (J.A.); (R.P.A.)
| | - Nathalie Ouaret
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; E-Mails: (N.O.); (M.G.T.)
| | - Matthew G. Thomas
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK; E-Mails: (N.O.); (M.G.T.)
- MOAC Doctoral Training Centre, University of Warwick, Coventry CV4 7AL, UK
| | - Chuka U. Nwokolo
- University Hospital Coventry & Warwickshire, Coventry CV2 2DX, UK; E-Mail:
| | - Karna D. Bardhan
- Department of Gastroenterology, Rotherham General Hospital, Rotherham S60 2UD, UK; E-Mail:
- Clinical Sciences Research Institute, University of Warwick, Coventry CV2 2DX, UK
| | - Ramesh P. Arasaradnam
- University Hospital Coventry & Warwickshire, Coventry CV2 2DX, UK; E-Mail:
- Clinical Sciences Research Institute, University of Warwick, Coventry CV2 2DX, UK
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