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

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

刘洪林

重庆第二师范学院旅游与服务管理系
西南大学

基金项目:

重庆市教委科学技术研究项目(KJ1601413)；

详细信息

作者简介:
刘洪林(1991-),男,硕士,助教,研究方向:茶学,E-mail:475844900@qq.com。;

中图分类号: TS272.52
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出版历程
- 收稿日期: 2016-03-03

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

LIU Hong-lin

School of Tourism and Service Management,Chongqing University of Education
Southwest University

摘要

摘要: 提出一种利用近红外光谱技术无损快速检测工夫红茶茶色素茶黄素(TFs)、茶红素(TRs)、茶褐素(TB)含量的新方法。实验样品共计240个,手动选择180个样品作为校正级,剩余60个样品作为预测集;利用OPUS7.0软件优化出各模型最佳波数段和最佳预处理方法,平滑点数17,维数1,结合茶TFs、TRs、TB含量建立预测模型,分析预测模型的预测性能。各预测模型预测精准度高,均可用于TFs、TRs、TB含量检测。其中,各模型校正相关系数(Rc)为95.11%~98.04%,校正均方根误差(RMSEC)为0.0796~0.2320;预测相关系数(Rp)为91.41%~99.73%,预测均方根误差(RMSEP)为0.0362~0.0762。各模型校正集和预测集均有较高的拟合度,模型预测性能TFs>TRs>TB。结论:近红外光谱图结合TFs、TRs、TB含量建立的各预测模型预测性能优,可用于工夫红茶TFs、TRs、TB含量快速无损检测。
- 工夫红茶 /
- 近红外光谱技术 /
- 茶色素 /
- 预测模型
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 was0.0362 ~ 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 nondestructive testing of Congou black tea.
- Congou black tea /
- near infrared spectroscopy /
- tea pigments /
- prediction model

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