Flexible virtual sensor array based on laser-induced graphene and MXene for detecting volatile organic compounds in human breath

The Analyst ◽  
2021 ◽  
Author(s):  
Dongsheng Li ◽  
Yuzhou Shao ◽  
Qian Zhang ◽  
Mengjiao Qu ◽  
Jianfeng Ping ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Early Diagnosis ◽  
Organic Compounds ◽  
Sensor Array ◽  
Human Breath ◽  
Accurate Analysis ◽  
Virtual Sensor ◽  
Volatile Organic ◽  
Diagnosis Of Diseases

Detecting volatile organic compounds (VOCs) in human breath is critical for early diagnosis of diseases. Good selectivity of VOCs sensors is crucial for accurate analysis of VOCs biomarkers in human...

Volatile Organic Compounds in Human Breath: Biogenic Origin and Point-of-Care Analysis Approaches

2013 ◽  
pp. 129-154 ◽  
Author(s):  
Alexander A. Aksenov ◽  
Michael Schivo ◽  
Hamzeh Bardaweel ◽  
Yuriy Zrodnikov ◽  
Alice M. Kwan ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Point Of Care ◽  
Human Breath ◽  
Biogenic Origin ◽  
Volatile Organic

Identification of plastic toys contaminated with volatile organic compounds using QCM gas sensor array

Talanta ◽  
2020 ◽  
Vol 211 ◽  
pp. 120701 ◽  
Author(s):  
E. Oleneva ◽  
T. Kuchmenko ◽  
E. Drozdova ◽  
A. Legin ◽  
D. Kirsanov
Keyword(s):  
Volatile Organic Compounds ◽  
Gas Sensor ◽  
Organic Compounds ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Volatile Organic ◽  
Plastic Toys

A fluorometric paper-based sensor array for the discrimination of volatile organic compounds (VOCs) with novel salicylidene derivatives

2018 ◽  
Vol 159 ◽  
pp. 378-383 ◽  
Author(s):  
Thiti Jarangdet ◽  
Kornkanya Pratumyot ◽  
Kittiwat Srikittiwanna ◽  
Wijitar Dungchai ◽  
Withawat Mingvanish ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Sensor Array ◽  
Volatile Organic

In-Situ Analysis of Volatile Organic Compounds in Biogas Fermentation Processes Using a Metal Oxide Gas Sensor Array

2020 ◽  
Vol MA2020-01 (28) ◽  
pp. 2153-2153
Author(s):  
Binayak Ojha ◽  
Divyashree Narayana ◽  
Margarita Aleksandrova ◽  
Heinz Kohler ◽  
Matthias Schwotzer ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Metal Oxide ◽  
Gas Sensor ◽  
Organic Compounds ◽  
Sensor Array ◽  
Fermentation Processes ◽  
Gas Sensor Array ◽  
Volatile Organic ◽  
Metal Oxide Gas Sensor

Ion-Trap Detection of Volatile Organic Compounds in Alveolar Breath

1992 ◽  
Vol 38 (1) ◽  
pp. 60-65 ◽  
Author(s):  
M Phillips ◽  
J Greenberg
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Molecular Sieve ◽  
Mass Spectra ◽  
Ion Trap ◽  
Normal Subjects ◽  
Human Breath ◽  
Human Volunteers ◽  
Volatile Organic ◽  
Computer Based

Abstract We describe a method for the collection and microanalysis of the volatile organic compounds in human breath. A transportable apparatus supplies subjects with purified air and samples their alveolar breath; the volatile organic compounds are captured in an adsorptive trap containing activated carbon and molecular sieve. The sample is thermally desorbed from the trap in an automated microprocessor-controlled device, concentrated by two-stage cryofocusing, and assayed by gas chromatography with ion-trap detection. Compounds are identified by reference to a computer-based library of mass spectra with subtraction of the background components present in the inspired air. We used this device to study 10 normal subjects and determined the relative abundance of the volatile organic compounds in their alveolar breath. The breath-collecting apparatus was convenient to operate and was well tolerated by human volunteers.

scholarly journals Selective Detection of Target Volatile Organic Compounds in Contaminated Air Using Sensor Array with Machine Learning: Aging Notes and Mold Smells in Simulated Automobile Interior Contaminant Gases

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2687
Author(s):  
Toshio Itoh ◽  
Yutaro Koyama ◽  
Woosuck Shin ◽  
Takafumi Akamatsu ◽  
Akihiro Tsuruta ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Sensor Array ◽  
Selective Detection ◽  
K Nearest Neighbor ◽  
Linear Discriminant ◽  
Age Related ◽  
Volatile Organic

We investigated the selective detection of target volatile organic compounds (VOCs) which are age-related body odors (namely, 2-nonenal, pelargonic acid, and diacetyl) and a fungal odor (namely, acetic acid) in the presence of interference VOCs from car interiors (namely, n-decane, and butyl acetate). We used eight semiconductive gas sensors as a sensor array; analyzing their signals using machine learning; principal-component analysis (PCA), and linear-discriminant analysis (LDA) as dimensionality-reduction methods; k-nearest-neighbor (kNN) classification to evaluate the accuracy of target-gas determination; and random forest and ReliefF feature selections to choose appropriate sensors from our sensor array. PCA and LDA scores from the sensor responses to each target gas with contaminant gases were generally within the area of each target gas; hence; discrimination between each target gas was nearly achieved. Random forest and ReliefF efficiently reduced the required number of sensors, and kNN verified the quality of target-gas discrimination by each sensor set.

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