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中国精品科技期刊2020
何鸿举, 王魏, 王慧, 马汉军, 陈复生, 刘玺, 刘苏汉, 刘红, 康壮丽, 潘润淑, 朱明明, 赵圣明, 王正荣. 基于近红外光谱技术的生鲜猪肉质量检测研究进展[J]. 食品工业科技, 2019, 40(10): 360-368. DOI: 10.13386/j.issn1002-0306.2019.10.000
引用本文: 何鸿举, 王魏, 王慧, 马汉军, 陈复生, 刘玺, 刘苏汉, 刘红, 康壮丽, 潘润淑, 朱明明, 赵圣明, 王正荣. 基于近红外光谱技术的生鲜猪肉质量检测研究进展[J]. 食品工业科技, 2019, 40(10): 360-368. DOI: 10.13386/j.issn1002-0306.2019.10.000
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

基于近红外光谱技术的生鲜猪肉质量检测研究进展

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

  • 摘要: 近红外光谱技术(Near-Infrared Spectroscopy,NIR)是一种根据被检测物质的光谱信息,运用统计学的方法,构建被测物质某种属性值和光谱信息之间最优预测模型的一种间接分析技术。近红外光谱分析集光谱测量技术、计算机技术、化学计量学技术和基础测试技术于一体,通过选择合适的化学计量学方法,将样品光谱信息和指标参考值相关联,构建高精度、高稳定性的数学模型预测未知样品参考值,具有无损、快捷和环保等特点。相比传统理化及生物方法反复试验且破坏原料获取数据,近红外光谱信息更容易获取、信息量更丰富、数据计算速度更快,在猪肉质量的分析检测方面获得广泛研究。本文主要综述了2010年至今近红外光谱用于研究猪肉的物理属性、化学组成、新鲜度预测和肉品掺假等方面的最新研究进展和成果,为研发肉品无损分析检测设备提供相关信息和参考。

     

    Abstract: 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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