基于DR-FTIR技术结合biPLS法测定精米粉中的蛋白质含量
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  • 英文篇名:Rapid Determination of Protein Content in Milled Rice Flour by DR-FTIR Technology Combined with Interval Partial Least Squares
  • 作者:肖朝耿 ; 叶沁 ; 卢文静 ; 谌迪 ; 唐宏刚 ; 杨慧娟 ; 孟祥河 ; 陈黎洪
  • 英文作者:Xiao Chaogeng;Ye Qin;Lu Wenjing;Chen Di;Tang Honggang;Yang Huijuan;Meng Xianghe;Chen Lihong;Institute of Food Science,Zhejiang Academy of Agricultural Science;Ocean College,Zhejiang University of Technology;
  • 关键词:中红外光谱 ; 蛋白质 ; 精米 ; 区间偏最小二乘法 ; 测定
  • 英文关键词:diffuse reflectance fourier transform infrared spectroscopy;;protein;;milled rice flour;;back interval partial least squares;;determination
  • 中文刊名:ZLYX
  • 英文刊名:Journal of the Chinese Cereals and Oils Association
  • 机构:浙江省农业科学院食品科学研究所;浙江工业大学海洋学院;
  • 出版日期:2019-05-15 10:25
  • 出版单位:中国粮油学报
  • 年:2019
  • 期:v.34
  • 基金:杭州市农业科研自主申报项目(20160432809)
  • 语种:中文;
  • 页:ZLYX201906023
  • 页数:6
  • CN:06
  • ISSN:11-2864/TS
  • 分类号:137-142
摘要
开发了傅里叶中红外漫反射光谱技术(DR-FTIR)结合向后区间偏最小二乘法(biPLS)快速分析精米中蛋白质含量的分析方法。通过波谱预处理、优化建模区间,系统地比较了DR-FTIR及近红外漫反射红外光谱(DR-NIR)的模型效果。研究结果表明,DR-FTIR、DR-NIR均能快速准确地测定精米中蛋白质含量,但DR-FTIR法灵敏度优于DR-NIR法。BiPLS区间选择结果显示,以1 700~1 400、1 300~1 200、900~600 cm~(-1)波段建模,模型效果最优,其相关系数R为0.990 1,RMSEC和RMSEP分别为0.13、0.25,Y_(预测)=0.99X_(实际)+0.008 2,R=0.992 3,预测值与实际值高度相关。10组外部验证实验相对误差为1.72%,表明预测精确度较高、模型稳定性好,说明DR-FTIR所开发的精米中蛋白质含量的分析模型是可行的。
        The analysis method for rapidly determining protein content in milled rice flour by Diffuse Reflectance Fourier transform infrared spectroscopy(DR-FTIR)combined with back interval partial least squares(biPLS)was developed.The effects of DR-FTIR and DR-near infrared spectroscopy(NIR)models were systematically compared by means of spectral pretreatment and optimization of spectral modeling interval.The results showed that both DR-FTIR and DR-NIR were effective in term of rapid determination of the protein content in milled rice flour.However,DR-FTIR method had higher sensitivity than DR-NIR method.The results of biPLS interval selection demonstrated that the best model was obtained based on the 1 700~1 400,1 300~1 200,900~600 cm~(-1) bands,coefficient of correlation R was 0.990 1,RMSEC was 0.13,and RMSEP was 0.25.The DR-FTIR predictive values were highly correlated with the actual values with a regression equation of F_(prediction)=0.99 X_(actuality)+0.008 2,R=0.992 3.The relative standard deviation of 10 groups of external validation tests(1.72%)showed that the model had higher prediction accuracy as well as better stability,and it demonstrated that the analysis model of protein content in milled rice flour developed by DR-FTIR was feasible.
引文
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