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(R_(p))分别为0.958 5、0.931 2、0.945 6和0.955 8,均方根误差(RMSEP)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。
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 filter the spectral data for characteristic wavelengths.Ensemble learning(EL)model was established to qualitatively 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 derivative 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 filtering.The prediction set correlation coefficient of PLSR adulteration concentration prediction models for one-component adulteration,two-component adulteration,three-component adulteration,and all adulterated samples adulteration was 0.9585,0.9312,0.9456,and 0.9558,respectively,with the root mean square error RMSEP of 4.6891,5.8134,4.6041,and 3.8029,respectively.It is indicated that the nearinfrared spectroscopy can be used for detecting the adulteration in whole egg powder.It will provide a reference for regulatory agencies to detect adulteration in whole egg powder.
作者
杨凯
何昱廷
李沃霖
祝志慧
王巧华
YANG Kai;HE Yuting;LI Wolin;ZHU Zhihui;WANG Qiaohua(College of Engineering,Huazhong Agricultural University,Wuhan 430070,China;Ministry of Agriculture and Rural Affair Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River,Wuhan 430070,China)
出处
《华中农业大学学报》
CAS
CSCD
北大核心
2024年第2期264-272,共9页
Journal of Huazhong Agricultural University
基金
国家自然科学基金项目(32072302)。
关键词
全蛋粉
近红外光谱
掺假检测
集成学习
精准检测
whole egg powder
near-infrared spectroscopy
adulteration detection
ensemble learning
accurate detection
