Spectroscopic Data for the Rapid Assessment of Microbiological Quality of Chicken Burgers.

Fengou, Lemonia-Christina; Liu, Yunge; Roumani, Danai; Tsakanikas, Panagiotis; Nychas, George-John E

Fengou, Lemonia-Christina; Liu, Yunge; Roumani, Danai; Tsakanikas, Panagiotis; Nychas, George-John E.

Afiliação

Fengou LC; Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.
Liu Y; Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.
Roumani D; Laboratory of Beef Processing and Quality Control, College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
Tsakanikas P; Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.
Nychas GE; Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.

Foods ; 11(16)2022 Aug 09.

Article em En | MEDLINE | ID: mdl-36010385

Palavras-chave

Fourier transform infrared (FTIR) spectroscopy; chicken burgers; machine learning; multispectral imaging (MSI)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Grécia País de publicação: Suíça

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