scholarly journals Characterization of Unpleasant Odors in Poultry Houses Using Metal Oxide Semiconductor-Based Gas Sensor Arrays and Pattern Recognition Methods

2021 ◽  
Vol 5 (1) ◽  
pp. 52
Author(s):  
Mohammed Moufid ◽  
Carlo Tiebe ◽  
Nezha El Bari ◽  
Matthias Bartholmai ◽  
Benachir Bouchikhi
Keyword(s):  
Electronic Nose ◽  
Gas Sensors ◽  
Sensor Arrays ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Pattern Recognition Methods ◽  
Poultry Farms ◽  
Odor Emissions ◽  
The Impact

In this study, the ability of an electronic nose developed to analyze and monitor odor emissions from three poultry farms located in Meknes (Morocco) and Berlin (Germany) was evaluated. Indeed, the potentiality of the electronic nose (e-nose) to differentiate the concentration fractions of hydrogen sulfide, ammonia, and ethanol was investigated. Furthermore, the impact change of relative humidity values (from 15% to 67%) on the responses of the gas sensors was reported and revealed that the effect remained less than 0.6%. Furthermore, the relevant results confirmed that the developed e-nose system was able to perfectly classify and monitor the odorous air of poultry farms.

scholarly journals Electronic Nose Technologies in Monitoring Black Tea Manufacturing Process

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Tharaga Sharmilan ◽  
Iresha Premarathne ◽  
Indika Wanniarachchi ◽  
Sandya Kumari ◽  
Dakshika Wanniarachchi
Keyword(s):  
Neural Network ◽  
Electronic Nose ◽  
Gas Sensors ◽  
Black Tea ◽  
Quality Parameters ◽  
Polyphenolic Compounds ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Optimum Level ◽  
Fermentation Stage

“Tea” is a beverage which has a unique taste and aroma. The conventional method of tea manufacturing involves several stages. These are plucking, withering, rolling, fermentation, and finally firing. The quality parameters of tea (color, taste, and aroma) are developed during the fermentation stage where polyphenolic compounds are oxidized when exposed to air. Thus, controlling the fermentation stage will result in more consistent production of quality tea. The level of fermentation is often detected by humans as “first” and “second” noses as two distinct smell peaks appear during fermentation. The detection of the “second” aroma peak at the optimum fermentation is less consistent when decided by humans. Thus, an electronic nose is introduced to find the optimum level of fermentation detecting the variation in the aroma level. In this review, it is found that the systems developed are capable of detecting variation of the aroma level using an array of metal oxide semiconductor (MOS) gas sensors using different statistical and neural network techniques (SVD, 2-NM, MDM, PCA, SVM, RBF, SOM, PNN, and Recurrent Elman) successfully.

scholarly journals A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2646 ◽  
Author(s):  
Henike Guilherme Jordan Voss ◽  
José Jair Alves Mendes Júnior ◽  
Murilo Eduardo Farinelli ◽  
Sergio Luiz Stevan
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Gas Sensors ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Alcohol Content ◽  
Electronic Noses

Due to the emergence of new microbreweries in the Brazilian market, there is a need to construct equipment to quickly and accurately identify the alcohol content in beverages, together with a reduced marketing cost. Towards this purpose, the electronic noses prove to be the most suitable equipment for this situation. In this work, a prototype was developed to detect the concentration of ethanol in a high spectrum of beers presents in the market. It was used cheap and easy-to-acquire 13 gas sensors made with a metal oxide semiconductor (MOS). Samples with 15 predetermined alcohol contents were used for the training and construction of the models. For validation, seven different commercial beverages were used. The correlation (R2) of 0.888 for the MLR (RMSE = 0.45) and the error of 5.47% for the ELM (RMSE = 0.33) demonstrate that the equipment can be an effective tool for detecting the levels of alcohol contained in beverages.

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.

SiO2/SiC MOSFETs Interface Traps Probed by Nanoscale Analyses and Transient Current and Capacitance Measurements

2019 ◽  
Vol 963 ◽  
pp. 230-235
Author(s):  
Patrick Fiorenza ◽  
Filippo Giannazzo ◽  
Mario Giuseppe Saggio ◽  
Fabrizio Roccaforte
Keyword(s):  
Metal Oxide ◽  
Scanning Probe Microscopy ◽  
Field Effect Transistors ◽  
Metal Oxide Semiconductor ◽  
Scanning Probe ◽  
Oxide Semiconductor ◽  
Capacitance Measurements ◽  
The Impact ◽  
Mos Structures

This paper aims to give an overview on some relevant aspects of the characterization of the SiO2/4H-SiC interface, considering the properties of this system both at the interface and inside the insulator. Nanoscale scanning probe microscopy (SPM) techniques were used to get insights on the homogeneity of the SiO2/SiC interface electrical properties upon metal-oxide-semiconductor (MOS) processing. On the other hand, capacitance and current measurements as a function of time were employed to investigate trapping states in MOS structures in the SiO2/4H-SiC system. In particular, time-dependent gate current measurements gave information on the near interface oxide traps (NIOTs) present inside the SiO2 layer. The impact of the observed trapping phenomena on SiO2/SiC metal oxide semiconductor field effect transistors (MOSFETs) operation is discussed.

scholarly journals Hazardous Gas Detection using Gas Sensors Arrays and Fuzzy-Based Classification

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1883-1888
Keyword(s):  
Gas Sensor ◽  
Electronic Nose ◽  
Gas Sensors ◽  
Sensor Arrays ◽  
Gas Detection ◽  
Hazardous Gases ◽  
The Impact ◽  
Co Gas ◽  
Hazardous Gas ◽  
Gas Sensor Arrays

This paper presents hazardous gas detection using gas sensors arrays and fuzzy-based classification. This research is an automation of hazardous gas detection using electronic nose. Gases surround us could either hazard or benefit our health. Gas detection is an important issue, as humans should not breathe in hazardous gases in order to maintain their health. Hence, there must be an indicator to show the hazardous level of certain gases so that people can avoid and minimize the impact on their health. In this paper, hazardous gas detection is implemented by using gas sensor arrays and fuzzy-based classification. A classification for the electronic nose (e-nose) is developed in order to classify gases and determine the level of hazard of gases. The results found that e-nose system is able to differentiate hazardous level of chosen gases which are LP gas and CO gas.

A hybrid electronic nose system for discrimination of pathogenic bacterial volatile compounds

2020 ◽  
Vol 12 (47) ◽  
pp. 5671-5683
Author(s):  
Thara Seesaard ◽  
Chadinee Thippakorn ◽  
Teerakiat Kerdcharoen ◽  
Sumana Kladsomboon
Keyword(s):  
Metal Oxide ◽  
Volatile Compounds ◽  
Electronic Nose ◽  
Gas Sensors ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Semiconductor Gas Sensors ◽  
Electronic Nose System

Self-built hybrid electronic nose prototypes equipped with organic–inorganic nanocomposite gas sensors and metal-oxide semiconductor gas sensors for bacterial discrimination.

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.

Interface/border trap characterization of Al2O3/AlN/GaN metal-oxide-semiconductor structures with an AlN interfacial layer

2015 ◽  
Vol 106 (5) ◽  
pp. 051605 ◽  
Author(s):  
Shenghou Liu ◽  
Shu Yang ◽  
Zhikai Tang ◽  
Qimeng Jiang ◽  
Cheng Liu ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Interfacial Layer ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Semiconductor Structures
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