scholarly journals Evaluation of Metal Oxide Semiconductor and Electrochemical Gas Sensor Array Characterization for Measuring Wastewater Odor

2015 ◽  
Vol 24 (1) ◽  
pp. 29-34
Author(s):  
Bongbeen Yim ◽  
Seok-Jun Lee ◽  
Sun-Tae Kim
Keyword(s):  
Metal Oxide ◽  
Gas Sensor ◽  
Sensor Array ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Gas Sensor Array

scholarly journals Cocaine by-product detection with metal oxide semiconductor sensor arrays

RSC Advances ◽  
2020 ◽  
Vol 10 (47) ◽  
pp. 28464-28477
Author(s):  
Paula Tarttelin Hernández ◽  
Stephen M. V. Hailes ◽  
Ivan P. Parkin
Keyword(s):  
Metal Oxide ◽  
Gas Sensors ◽  
Sensor Array ◽  
Sensor Arrays ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Semiconductor Sensor ◽  
Gas Sensor Array ◽  
Semiconductor Gas Sensors ◽  
Metal Oxide Semiconductor Sensor

Metal oxide semiconductor gas sensors based on SnO2 and Cr2O3 were modified with zeolites H-ZSM-5, Na-A and H–Y to create a gas sensor array to detect cocaine by-product, methyl benzoate. SVMs were later used with a 4 sensor array to classify 9 gases of interest.

scholarly journals Field Study of Metal Oxide Semiconductor Gas Sensors in Temperature Cycled Operation for Selective VOC Monitoring in Indoor Air

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 647
Author(s):  
Tobias Baur ◽  
Johannes Amann ◽  
Caroline Schultealbert ◽  
Andreas Schütze
Keyword(s):  
Air Quality ◽  
Metal Oxide ◽  
Gas Sensor ◽  
Gas Sensors ◽  
Indoor Air ◽  
Ambient Air ◽  
Quantitative Agreement ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
High Temporal Resolution

More and more metal oxide semiconductor (MOS) gas sensors with digital interfaces are entering the market for indoor air quality (IAQ) monitoring. These sensors are intended to measure volatile organic compounds (VOCs) in indoor air, an important air quality factor. However, their standard operating mode often does not make full use of their true capabilities. More sophisticated operation modes, extensive calibration and advanced data evaluation can significantly improve VOC measurements and, furthermore, achieve selective measurements of single gases or at least types of VOCs. This study provides an overview of the potential and limits of MOS gas sensors for IAQ monitoring using temperature cycled operation (TCO), calibration with randomized exposure and data-based models trained with advanced machine learning. After lab calibration, a commercial digital gas sensor with four different gas-sensitive layers was tested in the field over several weeks. In addition to monitoring normal ambient air, release tests were performed with compounds that were included in the lab calibration, but also with additional VOCs. The tests were accompanied by different analytical systems (GC-MS with Tenax sampling, mobile GC-PID and GC-RCP). The results show quantitative agreement between analytical systems and the MOS gas sensor system. The study shows that MOS sensors are highly suitable for determining the overall VOC concentrations with high temporal resolution and, with some restrictions, also for selective measurements of individual components.

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

scholarly journals Application of Electronic Nose for Evaluation of Wastewater Treatment Process Effects at Full-Scale WWTP

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 251 ◽  
Author(s):  
Grzegorz Łagód ◽  
Sylwia M. Duda ◽  
Dariusz Majerek ◽  
Adriana Szutt ◽  
Agnieszka Dołhańczuk-Śródka
Keyword(s):  
Wastewater Treatment ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Treatment Plant ◽  
Full Scale ◽  
Oxide Semiconductor ◽  
Pollution Level ◽  
Gas Sensor Array

This paper presents the results of studies aiming at the assessment and classification of wastewater using an electronic nose. During the experiment, an attempt was made to classify the medium based on an analysis of signals from a gas sensor array, the intensity of which depended on the levels of volatile compounds in the headspace gas mixture above the wastewater table. The research involved samples collected from the mechanical and biological treatment devices of a full-scale wastewater treatment plant (WWTP), as well as wastewater analysis. The measurements were carried out with a metal-oxide-semiconductor (MOS) gas sensor array, when coupled with a computing unit (e.g., a computer with suitable software for the analysis of signals and their interpretation), it formed an e-nose—that is, an imitation of the mammalian olfactory sense. While conducting the research it was observed that the intensity of signals sent by sensors changed with drops in the level of wastewater pollution; thus, the samples could be classified in terms of their similarity and the analyzed gas-fingerprint could be related to the pollution level expressed by physical and biochemical indicators. Principal component analysis was employed for dimensionality reduction, and cluster analysis for grouping observation purposes. Supervised learning techniques confirmed that the obtained data were applicable for the classification of wastewater at different stages of the purification process.

A Method of Feature Extraction on Recovery Curves for Fast Recognition Application With Metal Oxide Gas Sensor Array

2009 ◽  
Vol 9 (12) ◽  
pp. 1705-1710 ◽  
Author(s):  
Shunping Zhang ◽  
Xianping Xia ◽  
Changsheng Xie ◽  
Shuizhou Cai ◽  
Huayao Li ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Metal Oxide ◽  
Gas Sensor ◽  
Sensor Array ◽  
Recovery Curves ◽  
Gas Sensor Array ◽  
Fast Recognition ◽  
Metal Oxide Gas Sensor

Head Space Sensor Array for the Detection of Aflatoxin M1 in Raw Ewe's Milk

2005 ◽  
Vol 68 (5) ◽  
pp. 1089-1092 ◽  
Author(s):  
S. BENEDETTI ◽  
S. IAMETTI ◽  
F. BONOMI ◽  
S. MANNINO
Keyword(s):  
Metal Oxide ◽  
Sensor Array ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Aflatoxin M1 ◽  
Complete Agreement ◽  
Enzyme Linked Immunosorbent Assay ◽  
Milk Samples ◽  
Head Space ◽  
Ewe's Milk

A novel screening method was developed for simple and rapid detection of aflatoxin M1 contamination in raw ewe's milk samples without the need for sample pretreatment. The method was based on the use of a commercial head space sensor array system constituted by 12 metal oxide semiconductor sensors, 10 metal oxide semiconductor field-effect transistor sensors, and a pattern recognition software. Twenty-four raw milk samples collected from two different groups of ewes fed with a formulated feed that contained increasing amounts of aflatoxin B1 and six noncontaminated ewe's milk samples were analyzed. The results obtained by using the head space sensor array, processed by statistical methods, made it possible to group the samples according to the presence or the absence of aflatoxin M1. Sample classification was in complete agreement with the aflatoxin M1 content measured by an enzyme-linked immunosorbent assay procedure. This is the first report, to our knowledge, of detection of aflatoxin M1 in ewe's milk by a multisensor array.

Magnetically Actuated Complementary Metal Oxide Semiconductor Resonant Cantilever Gas Sensor Systems

2005 ◽  
Vol 77 (9) ◽  
pp. 2690-2699 ◽  
Author(s):  
C. Vančura ◽  
M. Rüegg ◽  
Y. Li ◽  
C. Hagleitner ◽  
A. Hierlemann
Keyword(s):  
Metal Oxide ◽  
Gas Sensor ◽  
Complementary Metal Oxide Semiconductor ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Sensor Systems ◽  
Magnetically Actuated ◽  
Resonant Cantilever
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