Journal of Tea Science ›› 2008, Vol. 28 ›› Issue (4): 294-300.doi: 10.13305/j.cnki.jts.2008.04.008
Previous Articles Next Articles
ZHOU Jian, CHENG HaoP*, WANG Li-yuan
Received:
2007-11-26
Online:
2008-08-15
Published:
2019-09-12
CLC Number:
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.
[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, [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, [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, [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 tea [20] H Schulz, U H Engelhardt, A Wegent, [21] M H Zhang, J Luypaert, J A Fernández Pierna, [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, [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, [32] Jiewen Zhao, Quansheng Chen, Xingyi Huang, [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, |
[1] | GAO Jianjian, CHEN Dan, PENG Jiakun, WU Wenliang, CAI Liangsui, CAI Yawei, TIAN Jun, WAN Yunlong, SUN Weijiang, HUANG Yan, WANG Zhe, LIN Zhi, DAI Weidong. Comparison on Chemical Components of Yunnan and Fuding White Tea Based on Metabolomics Approach [J]. Journal of Tea Science, 2022, 42(5): 623-637. |
[2] | CHEN Qiyu, MA Jianqiang, CHEN Jiedan, CHEN Liang. Genetic Diversity of Mature Leaves of Tea Germplasms Based on Image Features [J]. Journal of Tea Science, 2022, 42(5): 649-660. |
[3] | LI Yanchun, WANG Hang, LI Zhaowei, YE Jing, WANG Yixiang. Ameliorative Effect of Several Measures on Soil Physicochemical Properties and Microbial Community Structures in Acidified Tea Gardens [J]. Journal of Tea Science, 2022, 42(5): 661-671. |
[4] | SUN Yue, WU Jun, WEI Chaoling, LIU Mengyue, GAO Chenxi, ZHANG Lingzhi, CAO Shixian, YU Shuntian, JIN Shan, SUN Weijiang. Screening of Tea Germplasm Resistant to Matsumurasca onukii and Dendrothrips minowai Priesner and Analysis of Resistance-related Factors [J]. Journal of Tea Science, 2022, 42(5): 689-704. |
[5] | CHEN Yuhong, GAO Ying, HAN Zhen, YIN Junfeng. Analysis of the Saponin Contents and Composition in Tea Seeds of Different Germplasms [J]. Journal of Tea Science, 2022, 42(5): 705-716. |
[6] | CHEN Hui, YANG Liling, CHEN Jinhua, HUANG Jian'an, GONG Yushun, LI Shi. Effect of Temperature-controlled Pile-fermentation on Aroma Quality of Primary Dark Tea [J]. Journal of Tea Science, 2022, 42(5): 717-730. |
[7] | LI Zheng, LIU Ding, HUO Zenghui, CHEN Fuqiao. Analysis on the Competitiveness and Complementarity of Tea Trade between China and RCEP Members [J]. Journal of Tea Science, 2022, 42(5): 740-752. |
[8] | WANG Yuyuan, LIU Renjian, LIU Shaoqun, SHU Canwei, SUN Binmei, ZHENG Peng. Expression Analysis and Functional Identification of CsTT2 R2R3-MYB Transcription Factor in Tea Plants [J]. Journal of Tea Science, 2022, 42(4): 463-476. |
[9] | LI Jing, LIN Cairong, HUANG Yan, DENG Xuming, WANG Yiqing, SUN Weijang. Effects of Tea Polyphenols on Agrobacterium-mediated Plant Genetic Transformation System [J]. Journal of Tea Science, 2022, 42(4): 477-490. |
[10] | ZHAO Dongwei. Nomenclature, Typification, and Natural Distribution of Camellia sinensis var. assamica (Theaceae) [J]. Journal of Tea Science, 2022, 42(4): 491-499. |
[11] | LIU Jianjun, ZHANG Jinyu, PENG Ye, LIU Xiaobo, YANG Yun, HUANG Tao, WEN Beibei, LI Meifeng. Effects of Light Waves on the Aroma Substances of Fresh Tea Leaves in Summer and Autumn During Spreading and the Quality of Final Green Tea [J]. Journal of Tea Science, 2022, 42(4): 500-514. |
[12] | ZHANG Yinggen, XIANG Lihui, CHEN Lin, LIN Qingxia, SONG Zhenshuo, WANG Lili. Effects of Air Conditions Preset for Withering on Flavor Quality and Chemical Profiles of White Teas [J]. Journal of Tea Science, 2022, 42(4): 525-536. |
[13] | LI Ziqiang, YANG Mei, ZHANG Xinzhong, LUO Fengjian, ZHOU Li, LOU Zhengyun, SUN Hezhi, WANG Xinru, CHEN Zongmao. Residue Determination of Sixteen Pesticides in Green Tea by UPLC-MS/MS [J]. Journal of Tea Science, 2022, 42(4): 537-548. |
[14] | FANG Mengrui, LÜ Jun, RUAN Jianyun, BIAN Lei, WU Chuanyu, YAO Qing. Tea Buds Detection Model Using Improved YOLOv4-tiny [J]. Journal of Tea Science, 2022, 42(4): 549-560. |
[15] | SUN Ying, CHEN Xin, YANG Hua, YING Jian, SHAO Danqing, LÜ Xiaohua, XIAO Jie, CHEN Zhixiong, LI Song, QIN Junjie, ZHENG Bin, GAO Jianshe. Clinical Trial on the Effect of Drinking Jinhua Xiangyuan Tea for 3 Months on the Improvement of Glucose and Lipid Metabolism in A Small Sample Hyperlipidemia Population [J]. Journal of Tea Science, 2022, 42(4): 561-576. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|