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Shao X.,Nanjing University of Finance and Economics | Shao X.,National Engineering Laboratory of Grain Storage and Transportation | Song W.,Nanjing University of Finance and Economics | Song W.,National Engineering Laboratory of Grain Storage and Transportation | Li Y.,Shanghai JiaoTong University
Journal of the Chinese Cereals and Oils Association | Year: 2013

Rapid non-destructive detection technology has attracted increasing attention due to the food quality and safety. Low-field nuclear magnetic resonance (LF-NMR) technology provides a unique research perspective for grain and oil food processing and storage, which is a very potential rapid non-destructive detection technique. The basic principle of LF-NMR technology is introduced and then the research progress of application of the technology in grain and oil quality and safety detection is reviewed in the following three aspects. Firstly, the standard methods and detection application technology at home and abroad for measuring physico-chemical properties and sensory indicators of grain and oil food by LF-NMR are summarized. Secondly, quality change monitoring during food processing and storage is described. Thirdly, two applications of oil adulteration detection and internal imaging are concluded as topics. Finally, the problems of LF-NMR application technology to be solved are discussed. It is revealed that the application of LF-NMR technology will be popular in the grain and oil food detection in future. Source


Shao X.,Nanjing University of Finance and Economics | Shao X.,National Engineering Laboratory of Grain Storage and Transportation | Zhang L.,Nanjing University of Finance and Economics | Song W.,Nanjing University of Finance and Economics | And 3 more authors.
Journal of the Chinese Cereals and Oils Association | Year: 2014

Physiochemical indexes and headspace analysis of Indica rice (three kinds of different storage years and two varieties) have been measured by GB methods and electronic nose (e-nose), respectively. Principal component analysis, correlation analysis and principal component regression were employed to research the data. The results show that storage life and varieties of Indica rice can be discriminated by e-nose. Strong correlation between e-nose signal and storage quality were discovered. Incubation temperature was important for the discriminability of e-nose sensors; eight sensors were with good ability to distinguish samples at different incubation temperature. Thermal treatment can enhance the discriminability of e-nose. The study also finds that sample without incubation treatment can be treated with the volatile gas composition of the sample itself; not affect discriminability of the e-nose for Indica rice varieties and storage years. Fatty acid content and germination of the sample can also be predicted accurately. Source

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