Leather and Footwear Journal, vol.14, no.2, pp.93-106, 2014 (Scopus)
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 2 bacterial population in soaking float of leather manufacturing. The relationship between predicted and observed bacterial populations yielded a R value of 0.95 in model testing. Design procedures, gas sensors and other materials and techniques were explained in this paper.