Evaluation of the relationship between bacterial population and associated gas generation in soaking float of sheep skin using a sensor array system
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Tarih
2014
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
INCDTP: Division Leather Footwear Research Institute
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Artificial neural networks; Bacteria; Gas sensors; Leather; Odor
Kaynak
Leather and Footwear Journal
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
14
Sayı
2
