摘要
基于近红外光谱技术与化学计量学方法建立一种适合于假冒以及国内外不同品牌豆浆粉的无损鉴别方法。采集国内外不同品牌豆浆粉以及假冒豆浆粉共132个样本的近红外光谱,利用连续小波变换方法扣除光谱中的背景和基线干扰,基于标准偏差与相对标准偏差筛选出特征波长,并结合主成分分析方法对不同品牌与假冒豆浆粉进行鉴别。结果表明:连续小波变换能够有效消除基线的干扰,波长筛选方法可以大大提高鉴别的准确性。采用该方法,假冒豆浆粉、进口豆浆粉与国产豆浆粉之间的鉴别准确率达100%,而不同品牌豆浆粉之间的鉴别准确率达93.94%。采用近红外光谱技术与化学计量学方可有效实现对国内外不同品牌豆浆粉以及假冒豆浆粉的快速无损鉴别分析。
Based on near-infrared spectroscopy and chemometrics methods,a non-destructive classification method for different brands and counterfeit soybean milk powder was established in this paper.A total of 132 spectra of counterfeit,domestic and foreign brands were collected.Continuous wavelet transform method was used for the elimination of background and baseline interference.Characteristic wavelengths selection was achieved based on the standard deviation and relative standard deviation.Then principal component analysis method was applied to analyze the spectra of different brands and counterfeit samples.The results show that the baseline interference was effectively eliminated by the continuous wavelet transform method,and discrimination ability was greatly improved by the wavelength screening method.The classification accuracy among counterfeit,domestic and foreign brands is 100%,and the classification accuracy of different brands samples is 93.94%.The results show the classification of counterfeit and different brands of soybean milk powder samples can be achieved by the proposed method,which provides a new idea for the rapid and non-destructive analysis of soybean milk powder samples.
作者
李尚科
董怡青
李跑
单杨
蒋立文
刘霞
Li Shangke;Dong Yiqing;Li Pao;Shan Yang;Jiang Liwen;Liu Xia(College of Food Science and Technology,Hunan Provincial Key Laboratory of Food Science and Biotechnology,Hunan Agricultural University,Changsha 410128;Hunan Agricultural Product Processing Institute,Hunan Academy of Agricultural Sciences,Changsha 410125)
出处
《中国食品学报》
EI
CAS
CSCD
北大核心
2020年第4期240-245,共6页
Journal of Chinese Institute Of Food Science and Technology
基金
国家自然科学基金青年科学基金项目(31601551,31671931)
湖南省自然科学基金青年科学基金项目(2019JJ50240)
湖南省教育厅科学研究项目优秀青年项目(18B118)。
关键词
近红外光谱
豆浆粉
连续小波变换
波长筛选
主成分分析
near infrared spectroscopy
soybean milk samples
continuous wavelet transform
characteristic wavelengths selection
principal component analysis
