基于傅里叶红外光谱的多茶类判别研究

doi:10.13305/j.cnki.jts.2014.01.008

茶叶科学 ›› 2014, Vol. 34 ›› Issue (1): 63-70.doi: 10.13305/j.cnki.jts.2014.01.008

基于傅里叶红外光谱的多茶类判别研究

吴全金¹, 董青华², 孙威江^1,3,*

1. 福建农林大学园艺学院,福建福州 350002;
2. 福州市华茗茶业研究所,福建福州 350001;
3. 福建农林大学安溪茶学院,福建福州350002

收稿日期:2013-05-20 修回日期:2013-07-22 发布日期:2019-09-03
通讯作者: *swj8103@126.com
作者简介:吴全金（1986— ）,女,福建三明人,博士研究生,主要从事茶叶标准化及其品质化学研究。
基金资助:
国家科技支撑计划课题（2012BAF07B05-5、2011BAD01B03-3）

Discriminant Analysis of Tea Category Based on Fourier Infrared Spectra

WU Quanjin¹, DONG Qinghua², SUN Weijiang^1,3,*

1. College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
2. Fuzhou Huaming Tea Research Institute, Fuzhou 350001, China;
3. Anxi Tea College, Fujian Agriculture and Forestry University, Fuzhou 350002, China

Received:2013-05-20 Revised:2013-07-22 Published:2019-09-03

摘要/Abstract

摘要： 采用乌龙茶、绿茶、红茶和白茶成品茶样本,按同步建模和特定茶类建模两种策略,进行了基于傅里叶红外光谱和逐步判别分析技术的茶类判别研究。结果表明,以1 000~1 800 cm^-1波段吸收值、主要吸收峰比值、萃取前二者的建模因子进行同步建模,所得回代判别准确率和外部验证准确率分别为84.8%、85.0%,81.9%、80.0%,89.0%、88.5%;3种数据处理方法针对特定茶类建模的回代判别准确率和外部验证准确率分别为94.2%、95.0%,89.2%、90.0%,93.0%、95.0%;同步建模和特定茶类建模分别得到判别效果较好的函数4条,能有效区分4种茶类,并且特定茶类建模的效果优于同步建模。

关键词: 茶类, 傅里叶红外光谱, 逐步判别分析

Abstract: The discrimination of tea category based on FTIR and stepwise discriminant analysis was studied, using the synchronous modeling and specific tea modeling with Oolong tea, green tea, black tea and white tea as the samples. The results showed that the recognition accuracy of the resubstitution and external validation of tea category using synchronous modeling based on absorption values at 1 000~1 800 cm^-1 band, the absorption ratio in the main peak, the extracted modeling factors of the former two were 84.8% and 85.0%, 81.9% and 80.0%, 89.0% and 88.5% respectively. The recognition accuracy of the resubstitution and external validation of tea category using specific tea modeling based on the three methods were 94.2% and 95.0%, 89.2% and 90.0%, 93.0% and 95.0% respectively, and 4 discriminant functions of synchronous analysis and specific tea analysis which can discriminate these four kinds of tea effectively were established respectively. The results also indicated that the effect of tea-specific modeling was better than synchronous modeling.

Key words: tea category, fourier infrared spectra, stepwise discriminant analysis

中图分类号:

TS272
R122.4

吴全金, 董青华, 孙威江. 基于傅里叶红外光谱的多茶类判别研究[J]. 茶叶科学, 2014, 34(1): 63-70. doi: 10.13305/j.cnki.jts.2014.01.008.

WU Quanjin, DONG Qinghua, SUN Weijiang. Discriminant Analysis of Tea Category Based on Fourier Infrared Spectra[J]. Journal of Tea Science, 2014, 34(1): 63-70. doi: 10.13305/j.cnki.jts.2014.01.008.

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基于傅里叶红外光谱的多茶类判别研究

Discriminant Analysis of Tea Category Based on Fourier Infrared Spectra

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