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Evaluation of the Relationship between Bacterial Population and Associated Gas Generation in Soaking Float of Sheep Skin Using a Sensor Array System

Journal: Revista de Pielarie Incaltaminte / Leather and Footwear Journal (Vol.14, No. 2)

Publication Date:

Authors : ; ; ; ; ;

Page : 93-106

Keywords : leather; bacteria; gas sensors; odor; artificial neural networks;

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In this study it was aimed to design a metal oxide gas sensor array to determine the bacterial load in soaking float of wet-salted domestic sheep skin for garment leather production. The results showed that an array of 4 metal oxide gas sensors employed with Artificial Neural Networks (ANNs) can predict the bacterial population in soaking float of leather manufacturing. The relationship between predicted and observed bacterial populations yielded a R2 value of 0.95 in model testing. Design procedures, gas sensors and other materials and techniques were explained in this paper.

Last modified: 2017-03-03 20:21:52