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Near-infrared techniques for fraud detection in dairy products: A review.
Hebling E Tavares, João Pedro; da Silva Medeiros, Maria Lucimar; Barbin, Douglas Fernandes.
Afiliación
  • Hebling E Tavares JP; Department of Food Engineering, School of Food Engineering, University of Campinas, Campinas, Brazil.
  • da Silva Medeiros ML; Department of Food Engineering, School of Food Engineering, University of Campinas, Campinas, Brazil.
  • Barbin DF; Department of Food Engineering, School of Food Engineering, University of Campinas, Campinas, Brazil.
J Food Sci ; 87(5): 1943-1960, 2022 May.
Article en En | MEDLINE | ID: mdl-35362099
The dairy products sector is an important part of the food industry, and their consumption is expected to grow in the next 10 years. Therefore, the authentication of these products in a faster and precise way is required for the sake of public health. This review proposes the use of near-infrared techniques for the detection of food fraud in dairy products as they are faster, nondestructive, environmentally friendly, do not require sample preparation, and allow multiconstituent analysis. First, we have described frequent forms of food fraud in dairy products and the application of traditional techniques for their detection, highlighting gaps and counterproductive characteristics for the actual global food chain, as longer sample preparation time and use of reagents. Then, the application of near-infrared spectroscopy and hyperspectral imaging for the detection of food fraud mainly in cheese, butter, and yogurt are described. As these techniques depend on model development, the coverage of different dairy products by the literature will promote the identification of food fraud in a faster and reliable way.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Queso / Leche Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: J Food Sci Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Queso / Leche Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: J Food Sci Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos