您好,欢迎访问中国农业科学院 机构知识库!

Study on Identification and Traceability of Tea Material Cultivar by Combined Analysis of Multi-Partial Least Squares Models Based on Near Infrared Spectroscopy

文献类型: 外文期刊

作者: Zhou Jian 1 ; Cheng Hao 1 ; Zeng Jian-ming 1 ; Wang Li-yuan 1 ; Wei Kang 2 ; He Wei 2 ; Wang Wei-feng 2 ; Liu Xu 2 ;

作者机构: 1.Chinese Acad Agr Sci, Tea Res Inst, Natl Ctr Tea Improvement, Hangzhou 310008, Zhejiang, Peoples R China

2.Nanjing Agr Univ, Dept Tea Sci, Nanjing 210095, Peoples R China

关键词: Tea;material cultivar;Traceability;Near infrared;Partial least squares;Euclidean Distance

期刊名称:SPECTROSCOPY AND SPECTRAL ANALYSIS ( 影响因子:0.589; 五年影响因子:0.504 )

ISSN: 1000-0593

年卷期: 2010 年 30 卷 10 期

页码:

收录情况: SCI

摘要: The present study attempted to achieve the identification and traceability of tea material cultivar through combination of multi-partial least squares models and Euclidean distance, etc. The results indicate that with the samples manufactured with tea fresh leaves of cultivar Longjing 43, Qunti, Yingshuang and Wuniuzao as the analysis objects, 4 models were established in this study so as to identify the tea with material cultivar being tea fresh leaves of cultivar Longjing 43, Qunti, Yingshuang and Wuniuzao separately by PLS. Their accuracy rate of identification of samples in the calibration set were 89.8%, 90.9%, 96.1% and 99.5%, respectively, while those in test set were 87.1%, 84.2%, 96.1% and 97.5%, respectively. After the "first identification" through the combined analysis of the four models for identification of tea material cultivar and the "second identification" adopting the Euclidean distance, the accuracy rate of material cultivar recognition for the tea samples was 90.3% (calibration set) and 83.5% (test set), respectively. This study provided a reference method for the identification of tea manufactured with a specific material cultivar and the material cultivar traceability of the manufactured tea.

  • 相关文献

[1]The Quantified Analysis of Fresh Mutton Tenderness Using PLS Methods and Fourier Transform Near-Infrared Spectroscopy. Zhang De-quan,Li Chun-hong,Li Yong,Li Shu-rong,Li Qing-peng,Zhou Hong-jie,Chen Xiao-na,Zhang Bo-lin,Sun Su-qin. 2008

[2]Validation of origins of tea samples using partial least squares analysis and Euclidean distance method with near-infrared spectroscopy data. He, Wei,Cheng, Hao,Li, Xinghui,Zhou, Jian,Cheng, Hao,Wang, Liyuan,Wei, Kang,Wang, Weifeng.

[3]Study on the robust NIR calibration models for moisture. Li, Y,Wei, YM,Zhang, B,Yan, YL. 2005

[4]Determination of Soil Quality from Chinese Apple Plant Area by NIR Spectroscopy. Dong Yi-wei,Huang Jin-li,Sun Bao-li,Bai Wei,Fan Zhong-nan,Wang Ya-nan,Liu Ya-wei,Tong Cheng-feng. 2009

[5]Status of K availability and efficiency of potash application in tea fields of China. Wenyan Han,Lifeng Ma,Ruanzhi Shi,Jiangyun Ruan,Michel Marchand. 2005

[6]Productivity and quality response of tea to balanced nutrient management - Examples from China tea gardens. J. Ruan,R. Hardter. 2001

[7]Determination of Melamine in Soybean Meal by Near-Infrared Imaging and Chemometrics. Li, Qingbo,Kang, Xue,Shi, Dongdong,Liu, Qingsheng.

[8]Quantitative determination of nutrient content in poultry manure by near infrared spectroscopy based on artificial neural networks. Chen, L. J.,Han, L. J.,Xing, L.. 2009

[9]A Solution on Pork Quality Traceability from Farm to Dinner Table in Tianjin City, China. Xiong Ben-hai,Luo Qing-yao,Yang Liang,Fu Run-ting,Lin Zhao-hui,Pan Jia-rong. 2010

[10]A SOLUTION ON IDENTIFICATION AND REARING FILES IN SMALLHOLD PIG FARMING. Xiong, Benhai,Luo, Qingyao,Yang, Liang,Xiong, Benhai,Luo, Qingyao,Yang, Liang,Fu, Runting,Lin, Zhaohui. 2009

[11]Study on quality safety traceability systems for cereal and oil products. Liu, Shihong,Zheng, Huoguo,Meng, Hong,Hu, Haiyan,Wu, Jiangshou,Li, Chunhua. 2009

[12]Establishment of Quality-Safety Traceability System for Navel Orange. Liu, Shihong,Zheng, Huoguo,Hu, Haiyan,He, Pengju,Guo, Yongqiang. 2012

[13]Effects of Wheat Origin, Genotype, and Their Interaction on Multielement Fingerprints for Geographical Traceability. Zhao, Haiyan,Guo, Boli,Wei, Yimin,Zhang, Bo.

[14]Recent developments in application of stable isotope analysis on agro-product authenticity and traceability. Zhao, Yan,Chen, Gang,Chen, Ailiang,Yang, Shuming,Ye, Zhihua,Zhao, Yan,Chen, Gang,Chen, Ailiang,Yang, Shuming,Ye, Zhihua,Zhang, Bin.

[15]DESIGN OF BEE PRODUCTS QUALITY MONITORING INFORMATION SERVICE PLATFORM. Zhu, Yeping,Liu, Shengping,Yue, E.,Zhao, Jing. 2009

[16]A Study on Pig Slaughter Traceability Solution Based on RFID. Luo, Qingyao,Xiong, Benhai,Yang, Liang,Pan, Jiayi,Luo, Qingyao,Xiong, Benhai,Yang, Liang,Pan, Jiayi,Geng, Zhi. 2011

[17]A PetriNet-Based Approach for Supporting Traceability in Cyber-Physical Manufacturing Systems. Huang, Jiwei,Cheng, Bo,Chen, Junliang,Zhu, Yeping,Lin, Chuang. 2016

[18]Effects of grown origin, genotype, harvest year, and their interactions of wheat kernels on near infrared spectral fingerprints for geographical traceability. Zhao, Haiyan,Guo, Boli,Wei, Yimin,Zhang, Bo,Zhao, Haiyan.

[19]Quantitative determination of soybean meal content in compound feeds: comparison of near-infrared spectroscopy and real-time PCR. Li, Hui,Lv, Xiaowen,Wang, Jing,Li, Junguo,Yang, Haifeng,Qin, Yuchang.

[20]Stable C and N isotope ratio analysis for regional geographical traceability of cattle in China. Guo, B. L.,Wei, Y. M.,Pan, J. R.,Li, Y..

作者其他论文 更多>>