Literature DB >> 31964066

Carbon Nanotube Based Gas Sensors toward Breath Analysis.

James E Ellis1, Alexander Star1.   

Abstract

Breath analysis is a promising method for rapid, inexpensive, noninvasive disease diagnosis and health monitoring owing to the correlative relationship between breath biomarker concentrations and abnormal health conditions. However, current methods to identify and quantify breath components rely on large, bench-top analytical instruments. Carbon nanotube (CNT)-based gas sensors are desirable candidates to replace benchtop instruments because of their sensitive chemical-to-electrical transducer capability, high degree of chemical functionality options, and potential for miniaturization. This review seeks to give an overview of the synthetic methods used to functionalize CNT-based gas sensors, specifically those sensors that target biologically relevant breath markers. Specific examples are provided to highlight the sensing mechanisms behind different classes of CNT hybrid composites. Finally, the current challenges and prospective solutions of applying CNT-based sensors to breath analysis are discussed.
© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  breath analysis; chemiresistors; nanoparticles; nanotubes; sensors

Year:  2016        PMID: 31964066     DOI: 10.1002/cplu.201600478

Source DB:  PubMed          Journal:  Chempluschem        ISSN: 2192-6506            Impact factor:   2.863


  10 in total

1.  Flexible, Highly Sensitive Paper-Based Screen Printed MWCNT/PDMS Composite Breath Sensor for Human Respiration Monitoring.

Authors:  K Thiyagarajan; G K Rajini; Debashis Maji
Journal:  IEEE Sens J       Date:  2020-11-27       Impact factor: 4.325

2.  Human Exhalation CO2 Sensor Based on the PEI-PEG/ZnO/NUNCD/Si Heterojunction Electrode.

Authors:  Ching Chang; Chi-Young Lee; Nyan-Hwa Tai
Journal:  ACS Omega       Date:  2022-04-25

Review 3.  Multisensor Systems and Arrays for Medical Applications Employing Naturally-Occurring Compounds and Materials.

Authors:  Rasa Pauliukaite; Edita Voitechovič
Journal:  Sensors (Basel)       Date:  2020-06-23       Impact factor: 3.576

4.  An Analytical Conductance Model for Gas Detection Based on a Zigzag Carbon Nanotube Sensor.

Authors:  Ali Hosseingholipourasl; Sharifah Hafizah Syed Ariffin; Mohammad Taghi Ahmadi; Seyed Saeid Rahimian Koloor; Michal Petrů; Afiq Hamzah
Journal:  Sensors (Basel)       Date:  2020-01-08       Impact factor: 3.576

5.  Outstanding Performance of Transition-Metal-Decorated Single-Layer Graphene-like BC6N Nanosheets for Disease Biomarker Detection in Human Breath.

Authors:  Aref Aasi; Sadegh Mehdi Aghaei; Balaji Panchapakesan
Journal:  ACS Omega       Date:  2021-02-05

6.  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.

Authors:  Giovanni Drera; Sonia Freddi; Aleksei V Emelianov; Ivan I Bobrinetskiy; Maria Chiesa; Michele Zanotti; Stefania Pagliara; Fedor S Fedorov; Albert G Nasibulin; Paolo Montuschi; Luigi Sangaletti
Journal:  RSC Adv       Date:  2021-09-10       Impact factor: 4.036

7.  Heterostructures Based on Cobalt Phthalocyanine Films Decorated with Gold Nanoparticles for the Detection of Low Concentrations of Ammonia and Nitric Oxide.

Authors:  Svetlana I Dorovskikh; Darya D Klyamer; Evgeny A Maksimovskiy; Victoria V Volchek; Sergey M Zharkov; Natalia B Morozova; Tamara V Basova
Journal:  Biosensors (Basel)       Date:  2022-06-30

Review 8.  Recent trends in gas sensing via carbon nanomaterials: outlook and challenges.

Authors:  Pallvi Dariyal; Sushant Sharma; Gaurav Singh Chauhan; Bhanu Pratap Singh; Sanjay R Dhakate
Journal:  Nanoscale Adv       Date:  2021-10-28

Review 9.  Trends in the Development of Electronic Noses Based on Carbon Nanotubes Chemiresistors for Breathomics.

Authors:  Sonia Freddi; Luigi Sangaletti
Journal:  Nanomaterials (Basel)       Date:  2022-08-29       Impact factor: 5.719

Review 10.  Bio-Inspired Strategies for Improving the Selectivity and Sensitivity of Artificial Noses: A Review.

Authors:  Charlotte Hurot; Natale Scaramozzino; Arnaud Buhot; Yanxia Hou
Journal:  Sensors (Basel)       Date:  2020-03-24       Impact factor: 3.576

  10 in total

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