Laser-induced porous graphene gas sensing platform toward the electronic nose

2020 ◽  
Author(s):  
Ning Yi ◽  
Huanyu Cheng
Keyword(s):  
Electronic Nose ◽  
Gas Sensing ◽  
Porous Graphene ◽  
Sensing Platform

Colorimetric Dye-Loaded Nanofiber Yarn: Eye-Readable and Weavable Gas Sensing Platform

ACS Nano ◽  
2020 ◽  
Vol 14 (12) ◽  
pp. 16907-16918
Author(s):  
Dong-Ha Kim ◽  
Jun-Hwe Cha ◽  
Jee Young Lim ◽  
Jaehyeong Bae ◽  
Woosung Lee ◽  
...  
Keyword(s):  
Gas Sensing ◽  
Nanofiber Yarn ◽  
Sensing Platform

scholarly journals Applications of Electronic-Nose Technologies for Noninvasive Early Detection of Plant, Animal and Human Diseases

Chemosensors ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 45 ◽  
Author(s):  
Alphus Dan Wilson
Keyword(s):  
Electronic Nose ◽  
Gas Sensing ◽  
Sensor Arrays ◽  
Human Diseases ◽  
Detection Methods ◽  
Research Progress ◽  
Disease Detection ◽  
New Information ◽  
Disease Diagnostics ◽  
Diagnostic Applications

The development of electronic-nose (e-nose) technologies for disease diagnostics was initiated in the biomedical field for detection of biotic (microbial) causes of human diseases during the mid-1980s. The use of e-nose devices for disease-diagnostic applications subsequently was extended to plant and animal hosts through the invention of new gas-sensing instrument types and disease-detection methods with sensor arrays developed and adapted for additional host types and chemical classes of volatile organic compounds (VOCs) closely associated with individual diseases. Considerable progress in animal disease detection using e-noses in combination with metabolomics has been accomplished in the field of veterinary medicine with new important discoveries of biomarker metabolites and aroma profiles for major infectious diseases of livestock, wildlife, and fish from both terrestrial and aquaculture pathology research. Progress in the discovery of new e-nose technologies developed for biomedical applications has exploded with new information and methods for diagnostic sampling and disease detection, identification of key chemical disease biomarkers, improvements in sensor designs, algorithms for discriminant analysis, and greater, more widespread testing of efficacy in clinical trials. This review summarizes progressive advancements in utilizing these specialized gas-sensing devices for numerous diagnostic applications involving noninvasive early detections of plant, animal, and human diseases.

Intelligent analysis of maleic hydrazide using a simple electrochemical sensor coupled with machine learning

2021 ◽  
Vol 13 (39) ◽  
pp. 4662-4673
Author(s):  
Lulu Xu ◽  
Ruimei Wu ◽  
Xiaoyu Zhu ◽  
Xiaoqiang Wang ◽  
Xiang Geng ◽  
...  
Keyword(s):  
Machine Learning ◽  
Electrochemical Sensor ◽  
Maleic Hydrazide ◽  
Low Cost ◽  
Electrochemical Sensing ◽  
Flexible Electrode ◽  
Porous Graphene ◽  
Sensing Platform ◽  
Intelligent Analysis

A simple intelligent electrochemical sensing platform based on a low-cost disposable laser-induced porous graphene flexible electrode for maleic hydrazide coupled with machine learning was successfully designed.

scholarly journals Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 685 ◽  
Author(s):  
Han Fan ◽  
Victor Hernandez Bennetts ◽  
Erik Schaffernicht ◽  
Achim Lilienthal
Keyword(s):  
Emergency Response ◽  
Electronic Nose ◽  
Gas Sensing ◽  
Practical Significance ◽  
Computationally Efficient ◽  
Urban Search And Rescue ◽  
Efficient Manner ◽  
Distribution Maps ◽  
Gas Identification ◽  
Sampling Procedures

Emergency personnel, such as firefighters, bomb technicians, and urban search and rescue specialists, can be exposed to a variety of extreme hazards during the response to natural and human-made disasters. In many of these scenarios, a risk factor is the presence of hazardous airborne chemicals. The recent and rapid advances in robotics and sensor technologies allow emergency responders to deal with such hazards from relatively safe distances. Mobile robots with gas-sensing capabilities allow to convey useful information such as the possible source positions of different chemicals in the emergency area. However, common gas sampling procedures for laboratory use are not applicable due to the complexity of the environment and the need for fast deployment and analysis. In addition, conventional gas identification approaches, based on supervised learning, cannot handle situations when the number and identities of the present chemicals are unknown. For the purpose of emergency response, all the information concluded from the gas detection events during the robot exploration should be delivered in real time. To address these challenges, we developed an online gas-sensing system using an electronic nose. Our system can automatically perform unsupervised learning and update the discrimination model as the robot is exploring a given environment. The online gas discrimination results are further integrated with geometrical information to derive a multi-compound gas spatial distribution map. The proposed system is deployed on a robot built to operate in harsh environments for supporting fire brigades, and is validated in several different real-world experiments of discriminating and mapping multiple chemical compounds in an indoor open environment. Our results show that the proposed system achieves high accuracy in gas discrimination in an online, unsupervised, and computationally efficient manner. The subsequently created gas distribution maps accurately indicate the presence of different chemicals in the environment, which is of practical significance for emergency response.

scholarly journals An Embedded, Low-Power, Wireless NO2 Gas-Sensing Platform Based on a Single-Walled Carbon Nanotube Transducer

Proceedings ◽  
2020 ◽  
Vol 56 (1) ◽  
pp. 6
Author(s):  
Stefan Nedelcu ◽  
Sebastian Eberle ◽  
Cosmin Roman ◽  
Christofer Hierold
Keyword(s):  
Carbon Nanotube ◽  
Gas Sensing ◽  
Sampling Rate ◽  
Measurement Range ◽  
Single Walled Carbon Nanotube ◽  
Single Walled Carbon ◽  
Post Process ◽  
Sensing Platform ◽  
Portable Software ◽  
Sd Card

This work proposes a portable, software-defined NO2-sensing platform, which is able to acquire currents ranging from nA to µA from a Single-Walled Carbon Nanotube (SWCNT) gas sensor. It includes an embedded software that steers the system allowing dynamical adjustments of the SWCNT bias levels, measurement range, sampling rate and of measurement time intervals. Further, the embedded functions can post-process the measurement results, log data on an SD card or send data via a wireless connection.

Arc discharge technique to fabricate nanocarbon gas sensing platform

2020 ◽  
Vol 141 ◽  
pp. 106479
Author(s):  
S.M. Zafar Iqbal ◽  
Z. Buntat ◽  
Elnaz Akbari ◽  
M. Abu Bakar Sidik ◽  
M. Taghi Ahmadi ◽  
...  
Keyword(s):  
Gas Sensing ◽  
Arc Discharge ◽  
Sensing Platform

Gas Sensing Platform Using Porous PET Film

2012 ◽  
Author(s):  
Wing Fat Ho ◽  
Hau Ping Chan ◽  
Valentin A. Tsvetkov
Keyword(s):  
Gas Sensing ◽  
Sensing Platform ◽  
Pet Film

Development of an electronic nose sensing platform for undergraduate education in nanotechnology

2011 ◽  
Vol 32 (3) ◽  
pp. 675-686 ◽  
Author(s):  
Daniel V Russo ◽  
Michael J Burek ◽  
Ryan M Iutzi ◽  
James A Mracek ◽  
Thorsten Hesjedal
Keyword(s):  
Electronic Nose ◽  
Undergraduate Education ◽  
Sensing Platform
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