Literature DB >> 33673142

Recent Advances in Ammonia Gas Sensors Based on Carbon Nanomaterials.

Alexander G Bannov1, Maxim V Popov1,2, Andrei E Brester1, Pavel B Kurmashov1.   

Abstract

This review paper is devoted to an extended analysis of ammonia gas sensors based on carbon nanomaterials. It provides a detailed comparison of various types of active materials used for the detection of ammonia, e.g., carbon nanotubes, carbon nanofibers, graphene, graphene oxide, and related materials. Different parameters that can affect the performance of chemiresistive gas sensors are discussed. The paper also gives a comparison of the sensing characteristics (response, response time, recovery time, operating temperature) of gas sensors based on carbon nanomaterials. The results of our tests on ammonia gas sensors using various techniques are analyzed. The problems related to the recovery of sensors using various approaches are also considered. Finally, the impact of relative humidity on the sensing behavior of carbon nanomaterials of various different natures was estimated.

Entities:  

Keywords:  ammonia; carbon nanotubes; chemiresistive sensor; gas sensor; graphene; graphene oxide; response; sensitivity

Year:  2021        PMID: 33673142     DOI: 10.3390/mi12020186

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   2.891


  4 in total

1.  Humidity Sensor Based on rGO-SDS Composite Film.

Authors:  Cheng Lei; Junna Zhang; Ting Liang; Ruifang Liu; Zhujie Zhao; Jijun Xiong; Kai Yin
Journal:  Micromachines (Basel)       Date:  2022-03-24       Impact factor: 2.891

Review 2.  Heterojunction-based photocatalytic nitrogen fixation: principles and current progress.

Authors:  Hassan Ali; Milan Masar; Ali Can Guler; Michal Urbanek; Michal Machovsky; Ivo Kuritka
Journal:  Nanoscale Adv       Date:  2021-09-16

3.  Exploitation of SnO2/Polypyrrole Interface for Detection of Ammonia Vapors Using Conductometric and Optical Techniques: A Theoretical and Experimental Analysis.

Authors:  Ajay Pratap Singh Gahlot; Ayushi Paliwal; Avinashi Kapoor
Journal:  Sensors (Basel)       Date:  2022-09-24       Impact factor: 3.847

4.  Highly Sensitive Hybrid Nanostructures for Dimethyl Methyl Phosphonate Detection.

Authors:  Sanjeeb Lama; Jinuk Kim; Sivalingam Ramesh; Young-Jun Lee; Jihyun Kim; Joo-Hyung Kim
Journal:  Micromachines (Basel)       Date:  2021-05-31       Impact factor: 2.891

  4 in total

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