Discrimination of Fresh from Frozen then Thawed Beef

J.M. Balage; S.L. Silva

Discrimination of Fresh from Frozen then Thawed Beef

于63rd International Congress of Meat Science and Technology

著者：

J.M. Balage

J.M. Balage Department of Animal Science, University of São Paulo, Pirassununga, Brazil; julianabalage@usp.br

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and

S.L. Silva

S.L. Silva Department of Animal Science, University of São Paulo, Pirassununga, Brazil; julianabalage@usp.br

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类型:: 章节

Page Range:: 196–197

DOI:: https://doi.org/10.3920/9789086868605_078

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This paper describes how hyperspectral imaging and partial least squares-discriminate analysis (PLS-DA) can successfully classify fresh and thawed beef. One hundred samples, 50 fresh and 50 frozen than thawed, where scanned. The images were analyzed and its mean spectra were used in the PLS-DA. The percentage of correct classification in the prediction samples, i.e. external data set, was 95%.

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63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

ISBN:: 9789086868605

出版社:: Wageningen Academic

印刷出版日期:: 15 Nov 2017

Subjects
- Life Sciences

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Discrimination of Fresh from Frozen then Thawed Beef

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63rd International Congress of Meat Science and Technology

Nurturing locally, growing globally

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