Characterization of Gentiana rigescens by Ultraviolet-Visible and Infrared Spectroscopies with Chemometrics

文献类型： 外文期刊

第一作者： Qi, LuMing

作者： Qi, LuMing;Qi, LuMing;Zhang, Ji;Zhao, YanLi;Zuo, ZhiTian;Wang, Yuan-Zhong;Jin, Hang

作者机构：

关键词： Data fusion;Gentiana rigescens;infrared spectroscopy;ultraviolet-visible spectroscopy

期刊名称：ANALYTICAL LETTERS （ 影响因子：2.329； 五年影响因子：1.738 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Gentiana rigescens is a medicinal plant for treatment of rheumatism, convulsions, and jaundice. The present paper reports the potential for chemometric characterization of G. rigescens using ultraviolet-visible and infrared spectroscopies, individually and together. Low- and mid-level data fusions were considered in this study. Partial least square discriminant analysis and support vector machine were used to analyze single and fused spectral data, respectively. The data fusion strategy improved the classification capacity. In particular, the mid-level data fusion provided the best results by selecting important variance from the data matrixes, with 100% correct classification of test samples by partial least square discriminant analysis and support vector machine characterization. The results demonstrated that the combined use of ultraviolet-visible and infrared spectroscopies is more suitable for the discrimination of G. rigescens than the individual methods.

分类号： O65

  • 相关文献

[1]Geographic Characterization of Leccinum rugosiceps by Ultraviolet and Infrared Spectral Fusion. Yao, Sen,Liu, Hong-Gao,Li, Jie-Qing,Yao, Sen,Wang, Yuan-Zhong,Li, Tao,Wang, Yuan-Zhong. 2017

[2]Determination of Iridoids in Gentiana rigescens by Infrared Spectroscopy and Multivariate Analysis. Qi, Lu-Ming,Qi, Lu-Ming,Zhang, Ji,Zuo, Zhi-Tian,Zhao, Yan-Li,Wang, Yuan-Zhong,Hang, Jin,Qi, Lu-Ming,Zhang, Ji,Zuo, Zhi-Tian,Zhao, Yan-Li,Wang, Yuan-Zhong,Hang, Jin.

[3]Data fusion for management of outdoor stored grain. Sun, L,Zhu, ZS. 2002

[4]A WSN Data Aggregation Method with Linear Regression Model. Chen, Liping,Zhang, Ruirui,Xu, Gang,Kan, Jie,Chen, Liping,Zhang, Ruirui,Xu, Gang. 2015

[5]A Synergy Cropland of China by Fusing Multiple Existing Maps and Statistics. Lu, Miao,Wu, Wenbin,You, Liangzhi,Chen, Di,Zhang, Li,Yang, Peng,Tang, Huajun,You, Liangzhi. 2017

[6]The Classification of Wheat Varieties Based on Near Infrared Hyperspectral Imaging and Information Fusion. Dong Gao,Guo Jian,Dong Gao,Wang Cheng,Chen Zi-long,Zheng Ling,Zhu Da-zhou,Zhu Da-zhou. 2015

[7]Differentiation of Chinese robusta coffees according to species, using a combined electronic nose and tongue, with the aid of chemometrics. Dong, Wenjiang,Zhao, Jianping,Hu, Rongsuo,Dong, Yunping,Tan, Lehe,Dong, Wenjiang,Zhao, Jianping,Hu, Rongsuo,Tan, Lehe,Dong, Wenjiang,Zhao, Jianping,Dong, Yunping,Tan, Lehe.

[8]Mapping global cropland and field size. Fritz, Steffen,See, Linda,McCallum, Ian,Bun, Andriy,Moltchanova, Elena,Duerauer, Martina,Perger, Christoph,Havlik, Petr,Mosnier, Aline,Schepaschenko, Dmitry,van der Velde, Marijn,Dunwoody, Antonia,Kraxner, Florian,Obersteiner, Michael,You, Liangzhi,You, Liangzhi,Wood-Sichra, Ulrike,Moltchanova, Elena,Albrecht, Fransizka,Albrecht, Fransizka,Schill, Christian,Thornton, Philip,Herrero, Mario,Becker-Reshef, Inbal,Justice, Chris,Hansen, Matthew,Gong, Peng,Aziz, Sheta Abdel,Cipriani, Anna,Cipriani, Anna,Malanding, Jaiteh,Cumani, Renato,Conchedda, Giulia,Cecchi, Giuliano,Ferreira, Stefanus,Gomez, Adriana,Haffani, Myriam,Kayitakire, Francois,Vancutsem, Christelle,Mueller, Rick,Newby, Terence,Nonguierma, Andre,Olusegun, Adeaga,Ortner, Simone,Rajak, D. Ram,Rocha, Jansle,Schepaschenko, Maria,Terekhov, Alexey,Tiangwa, Alex,Vintrou, Elodie,Wu Wenbin.

[9]A RS/GIS-Based System for Monitoring Weed Disasters. Sun, Ling,Zhu, Zesheng. 2012

[10]FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng. Li, Yun,Zhang, Jin-Yu,Wang, Yuan-Zhong. 2018

[11]An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data. Zhang, Wei,Qin, Zhihao,Zhang, Wei,Li, Ainong,Jin, Huaan,Bian, Jinhu,Zhang, Zhengjian,Lei, Guangbin,Huang, Chengquan. 2013

[12]Geographical Origin Discrimination of Oolong Tea (TieGuanYin, Camellia sinensis (L.) O. Kuntze) Using Proton Nuclear Magnetic Resonance Spectroscopy and Near-Infrared Spectroscopy. Meng, Weijun,Xu, Xiangnan,Xu, Jingjing,Shen, Guiping,Dong, Jiyang,Cheng, Kian-Kai,Wu, Zhidan.

[13]Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM). Li, Yun,Zhang, Ji,Wang, Yuanzhong,Li, Yun,Zhang, Ji,Wang, Yuanzhong,Li, Yun,Liu, Honggao,Li, Jieqing,Li, Tao.

[14]De Novo Assembly and Characterization of the Transcriptome of the Chinese Medicinal Herb, Gentiana rigescens. Zhang, Xiaodong,Li, Caixia,Allan, Andrew C.,Wang, Yuanzhong,Yao, Qiuyang. 2015

[15]Investigation of metabolites accumulation in medical plant Gentiana rigescens during different growing stage using LC-MS/MS and FT-IR. Pan, Yu,Zhang, Ji,Zhao, Yan-Li,Wang, Yuan-Zhong,Pan, Yu,Huang, Heng-Yu. 2015

[16]Comprehensive Quality Assessment Based Specific Chemical Profiles for Geographic and Tissue Variation in Gentiana rigescens Using HPLC and FTIR Method Combined with Principal Component Analysis. Li, Jie,Zhang, Ji,Zhao, Yan-Li,Wang, Yuan-Zhang,Li, Jie,Huang, Heng-Yu. 2017

[17]Study on Gentiana Rigescens with Silvomedicinal and Agriosivomedicinal Systems with FTIR Spectroscopy. Shen Yun-xia,Zhao Yan-li,Zhang Ji,Jin Hang,Wang Yuan-zhong,Shen Yun-xia. 2016

[18]Optimization of ultrasonic extraction by response surface methodology combined with ultrafast liquid chromatography-ultraviolet method for determination of four iridoids in Gentiana rigescens. Pan, Yu,Zhang, Ji,Zuo, Zhi-Tian,Jin, Hang,Wang, Yuan-Zhong,Li, Wan-Yi,Pan, Yu,Shen, Tao. 2015

[19]Quality Assessment of Gentiana rigescens from Different Geographical Origins Using FT-IR Spectroscopy Combined with HPLC. Wu, Zhe,Zhao, Yanli,Zhang, Ji,Wang, Yuanzhong,Wu, Zhe,Zhao, Yanli,Zhang, Ji,Wang, Yuanzhong,Wu, Zhe.

[20]Evaluation and quantitative analysis of different growth periods of herb-arbor intercropping systems using HPLC and UV-vis methods coupled with chemometrics. Chu, Bo-wen,Zhang, Ji,Li, Zhi-min,Zhao, Yan-li,Zuo, Zhi-tian,Wang, Yuan-zhong,Li, Wan-yi,Chu, Bo-wen,Zhang, Ji,Li, Zhi-min,Zhao, Yan-li,Zuo, Zhi-tian,Wang, Yuan-zhong,Li, Wan-yi,Li, Wan-yi.

作者其他论文 更多>>

微信小程序