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中国精品科技期刊2020
梁晓琳, 刘燕, 谭凯燕, 苏海雁, 李全阳. 基于FTIR和理化性质的乳粉溯源技术研究[J]. 食品工业科技, 2014, (04): 49-52. DOI: 10.13386/j.issn1002-0306.2014.04.045
引用本文: 梁晓琳, 刘燕, 谭凯燕, 苏海雁, 李全阳. 基于FTIR和理化性质的乳粉溯源技术研究[J]. 食品工业科技, 2014, (04): 49-52. DOI: 10.13386/j.issn1002-0306.2014.04.045
LIANG Xiao-lin, LIU Yan, TAN Kai-yan, SU Hai-yan, LI Quan-yang. Study on geographic origin of milk powder based on FTIR and physicochemical properties[J]. Science and Technology of Food Industry, 2014, (04): 49-52. DOI: 10.13386/j.issn1002-0306.2014.04.045
Citation: LIANG Xiao-lin, LIU Yan, TAN Kai-yan, SU Hai-yan, LI Quan-yang. Study on geographic origin of milk powder based on FTIR and physicochemical properties[J]. Science and Technology of Food Industry, 2014, (04): 49-52. DOI: 10.13386/j.issn1002-0306.2014.04.045

基于FTIR和理化性质的乳粉溯源技术研究

Study on geographic origin of milk powder based on FTIR and physicochemical properties

  • 摘要: 为探索全脂乳粉产地溯源的可靠方法,以不同产区的6种全脂乳粉为研究对象,用理化分析的方法测定了样品的蛋白、脂肪、灰分含量和溶解度4个理化指标,同时采用傅里叶变换红外光谱仪扫描得到上述样品的FTIR图谱,采用SPSS统计分析对以上数据进行方差分析、相似性分析和聚类分析。结果表明不同地理来源乳粉的蛋白质和脂肪含量差异显著,灰分和溶解度相对稳定,FTIR宏观指纹图谱具有一定的相似性,而特征峰的峰位和峰形存在差异,并在一定程度上反映了地理环境对乳粉理化性质的影响。将理化特征和FTIR分析结果采用SPSS统计软件分析处理,实现了6种乳粉样品产地的识别,聚类的准确率为100%。 

     

    Abstract: In order to explore the reliable method of whole milk powder origin traceability, 6 kinds of whole milk powder came from different regions were regarded as object of study. The physicochemical analysis was used to measure samples ' content of protein, fat, ash and solubility, at the same time Fourier transform infrared spectrometer was used to obtain all samples' FTIR spectra. Then SPSS was used to analyze the data by analysis of variance, similarity analysis and cluster analysis. Results showed that the content of protein and fat of whole milk powder came from different regions had significant difference, and ash content and solubility were relatively stable. FTIR macroscopically fingerprint had a certain similarity, but the peak position and peak shape of the characteristic peaks had difference, and to a certain extent, reflect the geographical environment influence on the physicochemical properties of milk powder. SPSS statistical software was used to process physicochemical properties and FTIR results, the producing area identification of 6 kinds of milk powder was realized, the accuracy of cluster analysis achieved 100%.

     

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