近红外技术在茶叶上的研究进展

doi:10.13305/j.cnki.jts.2008.04.008

摘要/Abstract

摘要： 主要介绍了国内外近红外检测分析技术在茶叶上的研究的进展情况,分析了目前近红外技术与其他检测分析相比存在的优缺点及限制其发展的主要原因,对近红外技术在茶叶上的应用前景和方向作出了展望,为近红外技术在茶叶上的应用和发展提供参考依据。

关键词: 近红外, 定量分析, 判别, 茶叶

Abstract: The recent advance on the application of Near-infrared spectroscopy in tea was introduced in this paper. Its advantage and disadvantage in comparing with the other analytical methods were also analyzed. The main reasons which limited the development of near-infrared spectroscopic technique was analyzed and the range of the application in tea was predicted in the paper. This article also gives some advices about the development of near-infrared spectroscopy in tea.

Key words: near-infrared spectroscopy, quantitative analysis, identification, tea

中图分类号:

周健, 成浩, 王丽鸳. 近红外技术在茶叶上的研究进展[J]. 茶叶科学, 2008, 28(4): 294-300. doi: 10.13305/j.cnki.jts.2008.04.008.

ZHOU Jian, CHENG HaoP, WANG Li-yuan. Recent Advance on the Application of Near-infrared Spectroscopy in Tea[J]. Journal of Tea Science, 2008, 28(4): 294-300. doi: 10.13305/j.cnki.jts.2008.04.008.

参考文献

[1] M Blanco, I Villarroya.NIR spectroscopy: a rapid-response analytical tool[J]. Trends in analytical chemistry, 2002, 21(4): 240~250.
[2] 徐广通, 袁洪福, 陆婉珍. 现代近红外光谱技术及应用进展[J]. 光谱学与光谱分析, 2000, 20(2): 134~142.
[3] 陆婉珍, 袁洪福, 徐广通. 现代近红外光谱分析技术[M]. 北京: 中国石化出版社, 2004.
[4] T Davies.The history of near infrared spectroscopic analysis: Past, present and future "From sleeping technique to the morning star of spectroscopy"[J]. Analysis, 1998, 26(4): 17~19.
[5] 严衍禄. 近红外光谱分析技术与应用[M]. 北京: 中国轻工业出版社, 2005.
[6] Lunardelli L, De Marchi G, De Martiis F.Application of near infrared reflectance sprectroscopy in controlling the processing of pharmaceuticals[J]. Bollettino Chimico Farmaceutico (Italy), 1988(127): 13~19.
[7] Laasonen M, Harmia-Pulkkinen T, Simard CL, et al. Fast identification of Echinacea purpurea dried roots using near-infrared spectroscopy[J]. Anal Chem, 2002(74): 2493~2499.
[8] Sergio Henrique, Frasson Scafi, Celio Pasquini.Identification of counterfeit drugs using near infrared spectroscopy[J]. Analyst, 2001(126): 2218~2224.
[9] Hailey PA, Doherty P, Tapsell P, et al. Automated system for the on-line monitoring of powder blending processes using near-infrared spectroscopy. Part I. System development and control[J]. Journal of Pharmaceutical & Biomedical Analysis. 1996, 14(5): 551~559.
[10] 刘辉军, 吕进, 林敏, 等. 基于RBF 网络和NIRS 的绿茶水分含量分析模型[J]. 中国计量学院学报, 2005, 16(3): 188~190.
[11] 张月铃. 绿茶品质相关成分的近红外定标模型的初步建立[D]. 杭州: 浙江大学, 2006.
[12] Quansheng Chen, Jiewen Zhao, Haidong Zhang, et al. Feasibility study on qualitative and quantitative analysis in tea by nearinfrared spectroscopy with multivariate calibration[J]. Analytica Chimica Acta, 2006, 572: 77~84.
[13] 徐立恒, 吕进, 林敏, 等. 茶叶中3类主要组分的近红外光谱分析作为茶叶质量的快速评定方法[J]. 理化检验-化学分册,2006, 42: 334~336.
[14] 孙耀国, 林敏, 吕进. 近红外光谱法测定绿茶中氨基酸、咖啡碱和茶多酚的量[J]. 光谱实验室, 2004, 21(5): 940~943.
[15] 罗一帆, 郭振飞, 朱振宇. 近红外光谱测定茶叶中茶多酚和茶多糖的人工神经网络模型研究[J]. 光谱学与光谱分析, 2005, 25(8): 1230~1233.
[16] 陈华才, 吕进, 俸春红, 等. 近红外光谱法测定茶多酚中总儿茶素含量[J]. 中国计量学院学报, 2005, 16(1): 17~20.
[17] 陈华才, 吕进, 陈星旦, 等. 基于径向基函数网络的茶多酚总儿茶素近红外光谱检测模型的研究[J]. 光学精密工程, 2006, 14(1): 58~62.
[18] 芦永军, 陈华才, 吕进, 等. 茶多酚中总儿茶素的近红外光谱分析[J]. 分析化学研究简报, 2005, 33(6): 835~837.
[19] J Luypaert, M H Zhang, D L Massart.Feasibility study for the use of near infrared spectroscopy in thequalitative and quantitative analysis of green teaCamellia sinensis (L.)[J]. Analytica Chimica Acta, 2003, 478: 303~312.
[20] H Schulz, U H Engelhardt, A Wegent, et al. Application of near-infrared reflectance spectroscopy to the simultaneous prediction of alkaloids and phenolic substances in green tea leaves[J]. J Agric Food Chem, 1999, 47: 5064~5067.
[21] M H Zhang, J Luypaert, J A Fernández Pierna, et al. Determination of total antioxidant capacity in green tea by near-infrared spectroscopy and multivariate calibration[J]. Talanta, 2004, 62: 25~35.
[22] Quansheng Chen, Jiewen Zhao a, Xingyi Huang, et al. Simultaneous determination of total polyphenols and caffeine contents of green tea by near-infrared reflectance spectroscopy[J]. Microchemical Journal, 2006, 83: 42~47.
[23] 芦永军, 陈华才, 吕进. 茶多酚中咖啡因的近红外光谱分析[J]. 光谱学与光谱分析, 2005, 25(8): 1243~1245.
[24] 龚加顺, 刘佩瑛, 刘勤晋, 等. 茶饮料品质相关成分的近红外线光谱技术分析[J]. 食品科学, 2004, 25(2): 135~140.
[25] 阎守和, 莫汉斯M·汪拜尔M·. 用近红外光谱法检测茶纤维的研究[J]. 茶叶科学, 1987, 1: 47~52.
[26] 夏贤明,刘宝生,丁宁. 用近红外分析法测定绿茶的总氮量[J]. 茶叶科学, 1988, 1:55~59.
[27] L Lvova, A Legin, Y Vlasov, et al. Multicomponent analysis of Korean green tea by means of disposable all-solid-state potentiometric electronic tongue microsystem[J]. Sensors and Actuators B: Chemical, 2003, 95: 391~399.
[28] 刘辉军. 基于近红外技术的茶叶成分快速分析仪的原理与设计[D]. 杭州: 中国计量学院, 2006.
[29] 赵杰文, 陈全胜, 张海东, 等. 近红外光谱分析技术在茶叶鉴别中的应用研究[J]. 光谱学与光谱分析, 2006, 26(9): 1601~1604.
[30] 陈全胜, 赵杰文, 张海东, 等. SIMCA模式识别方法在近红外光谱识别茶叶中的应用[J]. 食品科学, 2006, 27(4): 186~189.
[31] Quansheng Chen, Jiewen Zhao, C H Fang, et al. Feasibility study on identification of green, black and Oolong teas using near-infrared reflectance spectroscopy based on support vector machine (SVM)[J]. Spectrochimica Acta Part A 2007, 66: 568~574.
[32] Jiewen Zhao, Quansheng Chen, Xingyi Huang, et al. Qualitative identification of tea categories by near infrared spectroscopy and support vector machine[J]. Journal of Pharmaceutical and Biomedical Analysis, 2006, 41: 1198~1204.
[33] 李晓丽, 何勇, 裘正军. 一种基于可见近红外光谱快速鉴别茶叶品种的新方法[J]. 光谱学与光谱分析, 2007, 27(2): 279~282.
[34] Yong He, Xiaoli Li, Xunfei Deng.Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model[J]. J Food Engineering, 2007, 79: 1238~1242.
[35] 陈全胜, 赵杰文, 张海东, 等. 基于支持向量机的近红外光谱鉴别茶叶的真伪[J]. 光学学报, 2006, 26(6): 933~937.
[36] 马池忠, 杜玉红, 董西立, 等. 近红外光谱分析和人工神经网络技术在茶叶感官品质评定中的应用[J]. 中国标准化, 2007, 7: 47~48.
[37] 阎守和. 评价茶品质的近红外光谱(NIRS)法[J]. 上海茶叶, 2005, 3: 19~21.
[38] Shou He Yan.Evaluation of the composition and sensory properties of tea using near infrared spectroscopy and principal component analysis[J]. J near infrared spectrose, 2005, 13: 313~325.
[39] 阎守和. 应用近红外光谱法(NIRS)评估茶的品质及其商品价[J]. 上海茶叶, 2005, 2: 20~22.
[40] M N Hall, A Robertson, C N G Scotter. Near infrared reflectance prediction of quality, theaflavin content and moisture content of black tea[J]. Food Chem, 1988(27): 61~75.
[41] Xiaoli Li, Yong He, Changqing Wu, et al. Nondestructive measurement and fingerprint analysis of soluble solid content of tea soft drink based on Vis/NIR spectroscopy[J]. Journal of Food Engineering, 2007, 82: 316~32.