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基于近红外高光谱技术快速检测豌豆蛋白掺假牛肉 被引量:1

Rapid Detection of Pea Protein Adulterated in Beef Based on Nearinfrared Hyperspectral Technology
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摘要 利用近红外高光谱成像技术结合偏最小二乘模型(PLSR)对牛肉掺入豌豆蛋白进行快速无损检测。将豌豆蛋白按照1%~30%(w/w)的浓度梯度掺入牛肉糜中(掺入浓度间隔1%),共获得93个样品以采集其光谱信息。经移动平均值平滑(Moving average smoothing,MAS)、高斯滤波平滑(Gaussian filter smoothing,GFS)、基线校正(Baseline correction,BC)、S-G卷积平滑(Savitzky Golay convolution smoothing,SGCS)、标准正态变量校正(Standard normal variable correction,SNV)等5种方法预处理光谱信息后,利用PLSR算法构建预测模型。然后采用回归系数法(Regression Coefficient,RC)、逐步回归法(Stepwise)和连续投影算法(Successive Projections Algorithm,SPA)筛选最优波长进行模型优化。结果显示,经过GFS预处理所构建的全波段PLSR模型预测效果更好(R_(P)^(2)=0.87,RMSEP=3.22%,ΔE=1.82,RPD=5.82)。采用RC法从GFS光谱中选取的24个最优波长(908.8、913.7、918.7、928.5、936.8、945.0、961.5、971.3、994.4、1017.4、1033.9、1099.7、1135.8、1167.1、1196.7、1211.5、1453.6、1549.3、1607.1、1633.7、1660.1、1678.4、1683.4和1686.7 nm)建立的优化PLSR模型效果最好(R_(P)^(2)=0.90,RMSEP=2.85%,ΔE=1.13,RPD=6.19)。试验表明,高光谱成像技术可实现豌豆蛋白掺入牛肉的快速无损检测。 Near-infrared hyperspectral imaging combined with partial least regression(PLSR)models for rapid and non-destructive detection of beef adulterated with pea protein was investigated.The adulteration samples were prepared by mixing pea protein into minced beef with a concentration gradient of 1%~30%(w/w)(interval of 1%),and a total of 93 samples were finally obtained to collect spectral information.After preprocessed by five methods including moving average smoothing(MAS),Gaussian filter smoothing(GFS),baseline correction(BC),Savitzky Golay convolution smoothing(SGCS),and standard normal variable correction(SNV),the spectra were used to construct prediction models by using PLSR algorithm.The regression coefficient(RC),stepwise and successive projections algorithm(SPA)were then used to select optimal wavelength for model optimization.The results showed that the full-band PLSR model constructed by GFS spectra had better prediction performance(R_(P)^(2)=0.87,RMSEP=3.22%,ΔE=1.82,RPD=5.82).The 24 optimal wavelengths including 908.8,913.7,918.7,928.5,936.8,945.0,961.5,971.3,994.4,1017.4,1033.9,1099.7,1135.8,1167.1,1196.7,1211.5,1453.6,1549.3,1607.1,1633.7,1660.1,1678.4,1683.4 and 1686.7 nm were selected by RC method from the GFS spectra and the original PLSR model optimized with these wavelengths showed better performance(R_(P)^(2)=0.90,RMSEP=2.85%,ΔE=1.13,RPD=6.19).In conclusion,it was possible to use hyperspectral imaging to achieve rapid and non-destructive detection of beef adulterated with pea protein.
作者 王婧茹 何鸿举 朱亚东 王慧 马汉军 陈复生 赵圣明 南海娟 WANG Jingru;HE Hongju;ZHU Yadong;WANG Hui;MA Hanjun;CHEN Fusheng;ZHAO Shengming;NAN Haijuan(School of Food Science,Henan Institute of Science and Technology,Xinxiang 453003,China;College of Grain,Oil and Food,Henan University of Technology,Zhengzhou 450001,China)
出处 《食品工业科技》 CAS 北大核心 2023年第14期312-317,共6页 Science and Technology of Food Industry
基金 河南省重大科技专项(221100110500) 中国博士后科学基金(2018M632767) 河南省科技攻关项目(182102310060) 河南省青年人才托举工程项目(2018HYTP008) 河南科技学院高层次人才引进项目(2015015)。
关键词 近红外 牛肉掺假 豌豆蛋白 高光谱成像 偏最小二乘 快速检测 near-infrared meat adulteration pea protein hyperspectral imaging partial least squares rapid detection
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