食品科学 ›› 2017, Vol. 38 ›› Issue (20): 229-234.doi: 10.7506/spkx1002-6630-201720033

• 安全检测 • 上一篇    下一篇

应用红外光谱结合化学计量学方法检测阿拉伯胶产地和蛋白质含量

邹小波,Alaa Kamal Mohmmed KHAIR KHOGLY,石吉勇,Mel HOLMES   

  1. (1.江苏大学食品与生物工程学院,江苏?镇江 212013;2.利兹大学食品科学与营养学院,英国?利兹 LS1 3AB)
  • 出版日期:2017-10-25 发布日期:2017-09-29
  • 基金资助:
    “十二五”国家科技支撑计划项目(2015BAD17B04);“十三五”国家重点研发计划重点专项(2016YFD0401104); 国家自然科学基金面上项目(31671844);国家自然科学基金青年科学基金项目(31601543); 中国博士后科学基金项目(2014T70483;2016M590422);江苏省自然科学基金项目(BK20160506;BE2016306); 江苏省国际科技合作项目(BZ2016013);苏州市科技发展计划项目(SNG201503); 江苏高校优势学科建设工程资助项目(PAPD)

Determination of Geographical Origin and Protein Content of Acacia Gums Using Infrared Spectroscopy and Chemometrics

ZOU Xiaobo, Alaa Kamal Mohmmed KHAIR KHOGLY, SHI Jiyong, Mel HOLMES   

  1. (1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China;2. School of Food Science and Nutrition, the University of Leeds, Leeds LS1 3AB, United Kingdom)
  • Online:2017-10-25 Published:2017-09-29

摘要: 研究利用傅里叶红外光谱结合化学计量学方法来实现对苏丹阿拉伯胶的产地和蛋白质含量的快速无损检测的可行性。采集自6?个不同的产地,每个产地12?个,总计72?个阿拉伯胶样本,作为研究对象,运用线性判别分析(linear discriminant analysis,LDA)和反向区间偏最小二乘(backward interval partial least squares,Bi-PLS)法分别实现对苏丹阿拉伯胶的产地区分和蛋白质含量检测。结果表明,当主成分数为6时,LDA对样本的训练集(48?个样本)和预测集(24?个样本)的识别率都为100%。Bi-PLS法回归联合20?个光谱子区间中的4?个子区间得到最佳的蛋白质预测模型,其预测集相关系数为0.937?3,均方根误差为0.173%。因此,利用傅里叶红外光谱结合化学计量学方法可实现对苏丹阿拉伯胶的产地以及蛋白质的含量的快速无损检测。

关键词: 阿拉伯胶, 傅里叶红外光谱, 产地, 蛋白质含量, 线性判别分析, 反向区间偏最小二乘法

Abstract: The feasibility of using Fourier transform infrared (FTIR) spectroscopy and chemometrics as a rapid and non-invasive technique to determine the geographical origin and protein content of Sudanese Acacia gums was investigated. Seventy-two samples of Acacia gums were collected from six different regions (12 samples from each region). Linear discriminant analysis (LDA) was used to discriminate the geographical origin of Acacia gums, and backward interval partial least squares (Bi-PLS) was applied to build a prediction model for the protein content of Acacia gums. The results showed that the recognition rates of LDA for calibration set (48 samples) and prediction set (24 samples) were both 100% when the first 6 principal components were used. In addition, Bi-PLS yielded a good prediction model (RP = 0.937 3 and RMSEP = 0.173%) for protein content by using the optimal combination of 4 out of 20 spectral intervals. Hence, FTIR spectroscopy coupled with chemometrics can be considered as a valid approach for the determination of the geographical origin and protein content of Acacia gums.

Key words: Acacia gums, Fourier transform infrared (FTIR) spectroscopy, geographical origin, protein content, linear discriminant analysis (LDA), backward interval partial least squares (Bi-PLS)

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