华中农业大学学报2024,Vol.43Issue(2) :264-272.DOI:10.13300/j.cnki.hnlkxb.2024.02.029

基于近红外光谱技术检测全蛋粉掺假

Detection of adulteration in whole egg powder based on near-infrared spectroscopy

杨凯 何昱廷 李沃霖 祝志慧 王巧华
华中农业大学学报2024,Vol.43Issue(2) :264-272.DOI:10.13300/j.cnki.hnlkxb.2024.02.029

基于近红外光谱技术检测全蛋粉掺假

Detection of adulteration in whole egg powder based on near-infrared spectroscopy

杨凯 1何昱廷 1李沃霖 1祝志慧 2王巧华2
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作者信息

  • 1. 华中农业大学工学院,武汉 430070
  • 2. 华中农业大学工学院,武汉 430070;农业农村部长江中下游农业装备重点实验室,武汉 430070
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摘要

为提高全蛋粉掺假检测的准确度和检测效果,应用近红外光谱技术对全蛋粉掺假进行定性判别并对掺假含量进行定量分析.分别采用标准正态变换、多元散射校正、卷积平滑、归一化、一阶导数、二阶导数等6种不同预处理方法,对原始光谱数据进行预处理,采用竞争性自适应重加权算法(CARS)、连续投影算法(SPA)及CARS-SPA结合算法对光谱数据进行特征波长筛选,建立集成学习(ensemble learning,EL)模型对掺假蛋粉进行定性判别,建立偏最小二乘模型(PLSR)对掺假含量进行定量分析.结果显示:在对掺假蛋粉进行定性判别方面,一阶导数为最佳预处理方法,CARS算法特征筛选效果最佳,EL模型对掺假蛋粉样本总体判别准确率达到98.18%,对各类掺假蛋粉样品的判别准确率在97.78%以上.在对蛋粉掺假含量进行定量分析方面,多元散射校正为最佳预处理方法,CARS算法特征筛选效果更佳,对一组分掺假、二组分掺假、三组分掺假和所有掺假样本的PLSR浓度预测模型的预测集相关系数(Rp)分别为0.958 5、0.931 2、0.945 6和0.955 8,均方根误差(RM-SEP)分别为4.689 1、5.813 4、4.604 1和3.802 9.研究结果表明,近红外光谱技术可用于蛋粉掺假检测,为监管机构检测蛋粉掺假提供参考.

Abstract

Near-infrared spectroscopy was used to qualitatively discriminate the adulteration in whole egg powder and to analyze the concentration of adulteration quantitatively.Six different pre-processing methods were used to pre-process the raw spectral data.The competitive adaptive reweighted sampling(CARS),successive projections algorithm(SPA)and combined CARS-SPA algorithms were used to fil-ter the spectral data for characteristic wavelengths.Ensemble learning(EL)model was established to quali-tatively discriminate the egg powder adulterated.The partial least squares regression(PLSR)model was established to quantitatively analyze the concentration of adulteration.The results showed that first order de-rivative was the best pre-processing method in qualitative discrimination.The CARS algorithm had the best effect of feature filtering.The EL model had an overall discrimination accuracy of 98.18%for adulterated samples,with the discrimination accuracy of differently adulterated samples of more than 97.78%.MSC was the best pretreatment method in quantitative analysis.CARS algorithm had the best effect of feature fil-tering.The prediction set correlation coefficient of PLSR adulteration concentration prediction models for one-component adulteration,two-component adulteration,three-component adulteration,and all adulterat-ed samples adulteration was 0.958 5,0.931 2,0.945 6,and 0.955 8,respectively,with the root mean square error RMSEP of 4.689 1,5.813 4,4.604 1,and 3.802 9,respectively.It is indicated that the near-infrared spectroscopy can be used for detecting the adulteration in whole egg powder.It will provide a refer-ence for regulatory agencies to detect adulteration in whole egg powder.

关键词

全蛋粉/近红外光谱/掺假检测/集成学习/精准检测

Key words

whole egg powder/near-infrared spectroscopy/adulteration detection/ensemble learn-ing/accurate detection

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基金项目

国家自然科学基金(32072302)

出版年

2024
华中农业大学学报
华中农业大学

华中农业大学学报

CSTPCD北大核心
影响因子:1.09
ISSN:1000-2421
参考文献量23
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