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

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

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2646 ◽  
Author(s):  
Henike Guilherme Jordan Voss ◽  
José Jair Alves Mendes Júnior ◽  
Murilo Eduardo Farinelli ◽  
Sergio Luiz Stevan

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.


2015 ◽  
Vol 212 (6) ◽  
pp. 1289-1298 ◽  
Author(s):  
Johannes Warmer ◽  
Patrick Wagner ◽  
Michael J. Schöning ◽  
Peter Kaul

RSC Advances ◽  
2020 ◽  
Vol 10 (47) ◽  
pp. 28464-28477
Author(s):  
Paula Tarttelin Hernández ◽  
Stephen M. V. Hailes ◽  
Ivan P. Parkin

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.


Sensors ◽  
2017 ◽  
Vol 17 (7) ◽  
pp. 1653 ◽  
Author(s):  
Philip Peterson ◽  
Amrita Aujla ◽  
Kirsty Grant ◽  
Alex Brundle ◽  
Martin Thompson ◽  
...  

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