Application of Neural Networks and Meta-Learners to Recognize Beef from OTM Cattle by Using Volatile Organic Compounds

被引：0
作者：
Tomás Arredondo
Erwin Oñate
Rocío Santander
Gerda Tomic
José R. Silva
Elizabeth Sánchez
Cristian A. Acevedo
机构：
[1] Universidad Técnica Federico Santa María,Departamento de Electrónica
[2] Universidad de Santiago de Chile,Departamento de Ciencia y Tecnología de los Alimentos, Facultad Tecnológica
[3] Universidad Técnica Federico Santa María,Centro de Biotecnología
来源：
Food and Bioprocess Technology | 2014年 / 7卷
关键词：
Beef; Meta learner; Neural network; Over 30 months; Volatile organic compounds;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Cattle with age under 30 months (UTM) are usually slaughtered for human consumption to be not associated of the disease called mad cow. Though the age of the animal can generally be estimated by dentition, this method cannot be applied to a piece of meat from which the teeth have been removed. Since volatile organic compounds have been used to analyze food samples, this technique was used to recognize meat obtained from cattle aged over 30 months (OTM).
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页码：3217 / 3225
页数：8
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