Sensor array optimization and discrimination of apple juices according to variety by an electronic nose

2017 ◽  
Vol 9 (6) ◽  
pp. 921-928 ◽  
Author(s):  
Hao Wu ◽  
TianLi Yue ◽  
Zhijiao Xu ◽  
Chen Zhang
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Chemical Sensors ◽  
Apple Juice ◽  
Sensor Array ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Array Optimization ◽  
Semiconductor Type

An electronic nose (PEN3) containing 10 metal oxide semiconductor type chemical sensors was used to discriminate between eight varieties of apple juice.

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.

Fabrication of a metal-oxide-semiconductor-type capacitive microtip array using SiO2 or HfO2 gate insulators

2004 ◽  
Vol 85 (22) ◽  
pp. 5412-5414 ◽  
Author(s):  
Kyung-Min Kim ◽  
Byung Joon Choi ◽  
Seong Keun Kim ◽  
Cheol Seong Hwang
Keyword(s):  
Metal Oxide ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Gate Insulators ◽  
Semiconductor Type

Electronic nose based on metal oxide semiconductor sensors and pattern recognition techniques: characterisation of vegetable oils

2001 ◽  
Vol 449 (1-2) ◽  
pp. 69-80 ◽  
Author(s):  
Yolanda González Martı́n ◽  
M.Concepción Cerrato Oliveros ◽  
José Luis Pérez Pavón ◽  
Carmelo Garcı́a Pinto ◽  
Bernardo Moreno Cordero
Keyword(s):  
Pattern Recognition ◽  
Metal Oxide ◽  
Vegetable Oils ◽  
Electronic Nose ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Pattern Recognition Techniques ◽  
Semiconductor Sensors

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.

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.

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