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Simultaneous detection of trace adulterants in food based on multi-molecular infrared (MM-IR) spectroscopy.
Xie, Jun; Pan, Qiannan; Li, Feili; Tang, Yuyi; Hou, Shiwei; Xu, Changhua.
Afiliação
  • Xie J; College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai, 201306, China.
  • Pan Q; College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China.
  • Li F; College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China.
  • Tang Y; College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China.
  • Hou S; College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China.
  • Xu C; College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, PR China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage andPreservation (Shanghai), Ministry of Agriculture, Shanghai, 201306, China; National R&D Branch Center for Freshwate
Talanta ; 222: 121325, 2021 Jan 15.
Article em En | MEDLINE | ID: mdl-33167191
ABSTRACT
Simultaneously rapid detection of trace adulterants in the complex systems of food without extraction is considered highly challenging. Herein, a high-throughput and rapid methodology, multi-molecular infrared (MM-IR) spectroscopy was developed for simultaneous detection of multiple trace adulterants in food. Flour was applied to demonstrate the capabilities of MM-IR with spatial resolution, spectral qualitative and quantitative analysis. Signals of 5 trace adulterants (rongalit, potassium bromate, borax, aluminum potassium sulfate and fluorescent brighter) were spatially revealed by IR hyperspectral imaging with group-peak matching, and further unveiled spectrally with second derivative two dimensional correlation infrared (SD-2DCOS IR) spectroscopy for higher resolution. Moreover, quantitative analysis of trace adulterants was conducted with partial least squares (PLS) modeling in ppm level. Composed of the above techniques and a series of resolution enhancement techniques (MW-2DCOS IR, 2T-2DCOS IR, etc.), MM-IR presented significant advantages on simultaneous detection of trace adulterants in food and therefore possessed the potential for food comprehensive analysis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Contaminação de Alimentos / Farinha Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Contaminação de Alimentos / Farinha Idioma: En Ano de publicação: 2021 Tipo de documento: Article