HE Hong-ju, WANG Wei, WANG Hui, MA Han-jun, CHEN Fu-sheng, LIU Xi, LIU Su-han, LIU Hong, KANG Zhuang-li, PAN Run-shu, ZHU Ming-ming, ZHAO Sheng-ming, WANG Zheng-rong. Research Progresses on Near-infrared Spectroscopy for Fresh Pork Quality Assessment[J]. Science and Technology of Food Industry, 2019, 40(10): 360-368. DOI: 10.13386/j.issn1002-0306.2019.10.000
Citation: HE Hong-ju, WANG Wei, WANG Hui, MA Han-jun, CHEN Fu-sheng, LIU Xi, LIU Su-han, LIU Hong, KANG Zhuang-li, PAN Run-shu, ZHU Ming-ming, ZHAO Sheng-ming, WANG Zheng-rong. Research Progresses on Near-infrared Spectroscopy for Fresh Pork Quality Assessment[J]. Science and Technology of Food Industry, 2019, 40(10): 360-368. DOI: 10.13386/j.issn1002-0306.2019.10.000

Research Progresses on Near-infrared Spectroscopy for Fresh Pork Quality Assessment

  • Near-infrared spectroscopy(NIR)is an indirect analysis technology to build optimal prediction model between tested attribute values and the spectrum information using statistical methods,based on spectral information of tested samples. NIR spectrum analysis is a combination of spectral measurement,computer technology,chemometrics and basic testing technology. By selecting appropriate chemometrics method,the spectral information of the sample is correlated with the index reference value. And a high-precision and stability mathematical model is constructed to predict the unknown sample reference value,which is non-destructive,rapid and environmental-friendly. Compared with the traditional physical,chemical and biological methods that tests repeatedly and destroys raw materials to obtain data,the NIR information is easier to obtain and more abundant,and the speed of data calculation is faster,and NIR has been widely applied for pork quality evaluation. This paper prepares to mainly review the latest research progresses and achievements on the physical properties,chemical composition,freshness prediction and pork adulteration since 2010,which would provide relevant information and reference for the research and development of non-destructive analysis and detection equipment in meat.
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