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Kalidoss R, Kothalam R, Manikandan A, Jaganathan SK, Khan A, Asiri AM. Socio-economic demands and challenges for non-invasive disease diagnosis through a portable breathalyzer by the incorporation of 2D nanosheets and SMO nanocomposites. RSC Adv 2021; 11:21216-21234. [PMID: 35478818 PMCID: PMC9034087 DOI: 10.1039/d1ra02554f] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 12/15/2022] Open
Abstract
Breath analysis for non-invasive clinical diagnostics and treatment progression has penetrated the research community owing to the technological developments in novel sensing nanomaterials. The trace level selective detection of volatile organic compounds (VOCs) in breath facilitates the study of physiological disorder and real-time health monitoring. This review focuses on advancements in chemiresistive gas sensor technology for biomarker detection associated with different diseases. Emphasis is placed on selective biomarker detection by semiconducting metal oxide (SMO) nanostructures, 2-dimensional nanomaterials (2DMs) and nanocomposites through various optimization strategies and sensing mechanisms. Their synergistic properties for incorporation in a portable breathalyzer have been elucidated. Furthermore, the socio-economic demands of a breathalyzer in terms of recent establishment of startups globally and challenges of a breathalyzer are critically reviewed. This initiative is aimed at highlighting the challenges and scope for improvement to realize a high performance chemiresistive gas sensor for non-invasive disease diagnosis. Breath analysis for non-invasive clinical diagnostics and treatment progression has penetrated the research community owing to the technological developments in novel sensing nanomaterials.![]()
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Affiliation(s)
- Ramji Kalidoss
- Department of Biomedical Engineering, Bharath Institute of Higher Education and Research Selaiyur Tamil Nadu 600 073 India +91-9840-959832
| | - Radhakrishnan Kothalam
- Department of Chemistry, College of Engineering and Technology, SRM Institute of Science and Technology Kattankulathur Tamil Nadu 603 203 India
| | - A Manikandan
- Department of Chemistry, Bharath Institute of Higher Education and Research Selaiyur Tamil Nadu 600 073 India.,Centre for Nanoscience and Nanotechnology, Bharath Institute of Higher Education and Research Selaiyur Tamil Nadu 600 073 India
| | - Saravana Kumar Jaganathan
- Bionanotechnology Research Group, Ton Duc Thang University Ho Chi Minh City Vietnam.,Faculty of Applied Sciences, Ton Duc Thang University Ho Chi Minh City Vietnam.,Department of Engineering, Faculty of Science and Engineering, University of Hull HU6 7RX UK
| | - Anish Khan
- Chemistry Department, Faculty of Science, King Abdulaziz University Jeddah 21589 Saudi Arabia.,Center of Excellence for Advanced Materials Research, King Abdulaziz University Jeddah 21589 Saudi Arabia
| | - Abdullah M Asiri
- Chemistry Department, Faculty of Science, King Abdulaziz University Jeddah 21589 Saudi Arabia.,Center of Excellence for Advanced Materials Research, King Abdulaziz University Jeddah 21589 Saudi Arabia
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Kalidoss R, Surya VJ, Sivalingam Y. Recent Progress in Graphene Derivatives/Metal Oxides Binary Nanocomposites Based Chemi-resistive Sensors for Disease Diagnosis by Breath Analysis. CURR ANAL CHEM 2020. [DOI: 10.2174/1573411017999201125203955] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background::
The scientific and clinical interest of breath analysis for non-invasive disease diagnosis has been focused by the scientific community over the past decade. This was due to the exhalation of prominent volatile organic compounds (VOCs) corresponding to the metabolic activities in the body and their concentration variation. To identify these biomarkers, various analytical techniques have been used in the past and the threshold concentration was established between a healthy and diseased state. Subsequently, various nanomaterials-based gas sensors were explored for their demand in quantifying these biomarkers for real-time, low cost and portable breathalyzers along with the essential sensor performances.
Methods::
We focus on the classification of graphene derivatives and their composites’ gas sensing efficiency for the application in the development of breathalyzers. The review begins with the feasibility of the application of nanomaterial gas sensors for healthcare applications. Then, we systematically report the gas sensing performance of various graphene derivatives/semiconductor metal oxides (SMO) binary nanocomposites and their optimizing strategies in selective detection of biomarkers specific to diseases. Finally, we provide insights on the challenges, opportunity and future research directions for the development of breathalyzers using other graphene derivatives/SMO binary nanocomposites.
Results::
On the basis of these analyses, graphene and its derivatives/metal oxides based binary nanocomposites have been a choice for gas sensing material owing to their high electrical conductivity and extraordinary thickness-dependent physicochemical properties. Moreover, the presence of oxygen vacancies in SMO does not only alter the conductivity but also accelerates the carrier transport rate and influence the adsorption behavior of target analyte on the sensing materials. Hence researchers are exploring the search of ultrathin graphene and metal oxide counterpart for high sensing performances.
Conclusion::
Their impressive properties compared to their bulk counterpart have been uncovered towards sensitive and selective detection of biomarkers for its use in portable breathalyzers.
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Affiliation(s)
- Ramji Kalidoss
- Department of Biomedical Engineering, Bharath Institute of Higher Education and Research, Selaiyur, 600073, Tamil Nadu,, India
| | - Velappa Jayaraman Surya
- Department of Physics and Nanotechnology, Novel, Advanced, and Applied Materials (NAAM) Laboratory, SRM Institute of Science and Technology, Kattankulathur 603203, Tamil Nadu,, India
| | - Yuvaraj Sivalingam
- Department of Physics and Nanotechnology, Laboratory for Sensors, Energy and Electronic Devices (Lab SEED), SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu 603203,, India
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Kalidoss R, Umapathy S. A comparison of online and offline measurement of exhaled breath for diabetes pre-screening by graphene-based sensor; from powder processing to clinical monitoring prototype. J Breath Res 2019; 13:036008. [PMID: 30794992 DOI: 10.1088/1752-7163/ab09ae] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Several breath analysis studies have suggested a correlation between blood glucose (BG) levels and breath acetone, indicating acetone as a primary biomarker in exhaled breath for diabetes diagnosis. Herein, we have (i) fabricated and validated graphene-based chemi-resistive sensors for selective and sensitive detection of acetone, (ii) performed offline breath analysis by a static gas sensing set-up to acquire olfactory signals, and (iii) developed an LED-based portable on/off binary e-nose system for pre-screening diabetes through online analysis. The fabricated sensors showed selective detection for acetone with high sensitivity (5.66 for 1 ppm acetone vapor) and fast response and recovery times (10 s and 12 s) at low concentrations. The sensor responses of end tidal fractional breath (collected in Tedlar bags) in the fasting and postprandial conditions were compared with BG levels and glycated hemoglobin (HbA1c) levels taken at the same time in 30 volunteers (13 healthy and 17 diabetic subjects). The mean sensor responses of the diabetic subjects as obtained by offline analysis were 1.1 times higher than those of the healthy subjects. The optimal regression equation framed with the significant correlating variables for HbA1c estimation achieved an accuracy of 66.67%. The online breath analysis by on/off binary prototype exhibited an accuracy of 60.51%. Though there exists a minimal uncertainty in classification, the on/off type portable prototype is easy to operate, gives a quicker response with a refresh/recovery rate of 19 s and can be used for preliminary diagnosis, and can be used for preliminary diagnosis. This inexpensive sensor technology may revolutionize personalized medicine in the near future and greatly benefit the underprivileged.
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Affiliation(s)
- Ramji Kalidoss
- Department of Biomedical Engineering, SRM Institute of Science & Technology, Tamil Nadu, 603203, India
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Karimi Y, Lin Y, Jodhani G, Stanaćević M, Gouma PI. Single Exhale Biomarker Breathalyzer. SENSORS 2019; 19:s19020270. [PMID: 30641922 PMCID: PMC6358968 DOI: 10.3390/s19020270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 12/19/2018] [Accepted: 01/07/2019] [Indexed: 11/16/2022]
Abstract
A single exhale breathalyzer comprises a gas sensor that satisfies the following stringent conditions: high sensitivity to the target gas, high selectivity, stable response over extended period of time and fast response. Breathalyzer implementation includes a front-end circuit matching the sensitivity of the sensor that provides the readout of the sensor signal. We present here the characterization study of the response stability and response time of a selective Nitric Oxide (NO) sensor using designed data acquisition system that also serves as a foundation for the design of wireless handheld prototype. The experimental results with the described sensor and data acquisition system demonstrate stable response to NO concentration of 200 ppb over the period of two weeks. The experiments with different injection and retraction times of the sensor exposure to constant NO concentration show a fast response time of the sensor (on the order of 15 s) and the adequate recovery time (on the order of 3 min) demonstrating suitability for the single exhale breathalyzer.
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Affiliation(s)
- Yasha Karimi
- Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
| | | | - Gagan Jodhani
- Department of Material Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.
| | - Milutin Stanaćević
- Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
| | - Pelagia-Irene Gouma
- Department of Material Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.
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Novel Isoprene Sensor for a Flu Virus Breath Monitor. SENSORS 2017; 17:s17010199. [PMID: 28117692 PMCID: PMC5298772 DOI: 10.3390/s17010199] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 01/09/2017] [Accepted: 01/18/2017] [Indexed: 11/17/2022]
Abstract
A common feature of the inflammatory response in patients who have actually contracted influenza is the generation of a number of volatile products of the alveolar and airway epithelium. These products include a number of volatile organic compounds (VOCs) and nitric oxide (NO). These may be used as biomarkers to detect the disease. A portable 3-sensor array microsystem-based tool that can potentially detect flu infection biomarkers is described here. Whether used in connection with in-vitro cell culture studies or as a single exhale breathalyzer, this device may be used to provide a rapid and non-invasive screening method for flu and other virus-based epidemics.
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Staerz A, Weimar U, Barsan N. Understanding the Potential of WO₃ Based Sensors for Breath Analysis. SENSORS 2016; 16:s16111815. [PMID: 27801881 PMCID: PMC5134474 DOI: 10.3390/s16111815] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 10/24/2016] [Accepted: 10/26/2016] [Indexed: 11/29/2022]
Abstract
Tungsten trioxide is the second most commonly used semiconducting metal oxide in gas sensors. Semiconducting metal oxide (SMOX)-based sensors are small, robust, inexpensive and sensitive, making them highly attractive for handheld portable medical diagnostic detectors. WO3 is reported to show high sensor responses to several biomarkers found in breath, e.g., acetone, ammonia, carbon monoxide, hydrogen sulfide, toluene, and nitric oxide. Modern material science allows WO3 samples to be tailored to address certain sensing needs. Utilizing recent advances in breath sampling it will be possible in the future to test WO3-based sensors in application conditions and to compare the sensing results to those obtained using more expensive analytical methods.
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Affiliation(s)
- Anna Staerz
- Institute of Physical and Theoretical Chemistry (IPTC), University of Tuebingen, Auf der Morgenstelle 15, D-72076 Tuebingen, Germany.
- Center for Light-Matter Interaction, Sensors & Analytics (LISA+), University of Tuebingen, Auf der Morgenstelle 15, D-72076 Tuebingen, Germany.
| | - Udo Weimar
- Institute of Physical and Theoretical Chemistry (IPTC), University of Tuebingen, Auf der Morgenstelle 15, D-72076 Tuebingen, Germany.
- Center for Light-Matter Interaction, Sensors & Analytics (LISA+), University of Tuebingen, Auf der Morgenstelle 15, D-72076 Tuebingen, Germany.
| | - Nicolae Barsan
- Institute of Physical and Theoretical Chemistry (IPTC), University of Tuebingen, Auf der Morgenstelle 15, D-72076 Tuebingen, Germany.
- Center for Light-Matter Interaction, Sensors & Analytics (LISA+), University of Tuebingen, Auf der Morgenstelle 15, D-72076 Tuebingen, Germany.
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