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

[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.