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基于近红外光谱技术(NIRS)对工夫红茶茶色素含量测定

刘洪林

食品工业科技2017,Vol.38Issue(1):308-311,4.
食品工业科技2017,Vol.38Issue(1):308-311,4.DOI:10.13386/j.issn1002-0306.2017.01.054

基于近红外光谱技术(NIRS)对工夫红茶茶色素含量测定

Determination of tea pigments contents of Congou black tea by near infrared spectroscopy

刘洪林1

作者信息

  • 1. 重庆第二师范学院旅游与服务管理系,重庆400065;西南大学,重庆400715
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摘要

Abstract

This paper gave a new method about detecting the theaflavin,thearubigins,tea brown contents of Congou black tea by near infrared spectroscopy.There were 240 test samples,180 samples of them were used to be a correction stage as the remaining 60 samples a prediction set.The best waves of the number of segments and best pretreatment method for model inguse of the model were optimized to establish the quantitative prediction model by OPUS 7.0 software.The Smooth points were 17 and dimension was 1.Combined with theaflavin,thearubigins,tea brown contents prediction model,the performance prediction model was analyzed and forecasted.The model predicted a high accuracy which can be used to predict thetheaflavin,thearubigins,tea brown contents of Congou black tea.The calibration correlation coefficient (Rc) was 91.41% ~99.73%,correcting root mean square error(RMSEC) was 0.0796~0.2320,predictive correlation coefficient (Rp) was 91.41 % ~ 99.73 %,and the RMSEP was 0.0362~ 0.0762.Each model calibration set and prediction set had a higher degree of fit,the order of the effect of prediction performance model was TFs > TRs > TB.The combination of near-infrared spectra of each prediction model to predict the performance had an excellent organoleptic results which established for theaflavin,thearubigins,tea brown contents rapid non-destructive testing of Congou black tea.

关键词

工夫红茶/近红外光谱技术/茶色素/预测模型

Key words

Congou black tea/near infrared spectroscopy/tea pigments/prediction model

分类

轻工纺织

引用本文复制引用

刘洪林..基于近红外光谱技术(NIRS)对工夫红茶茶色素含量测定[J].食品工业科技,2017,38(1):308-311,4.

基金项目

重庆市教委科学技术研究项目(KJ1601413). (KJ1601413)

食品工业科技

OA北大核心CSCDCSTPCD

1002-0306

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