Literature DB >> 22742921

Rapid discrimination of Chinese red ginseng and Korean ginseng using an electronic nose coupled with chemometrics.

Shan Li1, Xiang-ri Li, Gang-li Wang, Li-xing Nie, Yao-jun Yang, Hao-zhong Wu, Feng Wei, Ji Zhang, Jin-gai Tian, Rui-chao Lin.   

Abstract

Red ginseng is a precious and widely used traditional Chinese medicine. At present, Chinese red ginseng and Korean ginseng are both commonly found on the market. To rapidly and nondestructively discriminate between Chinese red ginseng and Korean ginseng, an electronic nose coupled with chemometrics was developed. Different red ginseng samples, including Chinese red ginseng (n=30) and Korean ginseng (South Korean red ginseng and North Korean red ginseng n=26), were collected. The metal oxide sensors on an electronic nose were used to measure the red ginseng samples. Multivariate statistical analyses, including principal component analysis (PCA), discriminant factorial analysis (DFA) and soft independent modeling of class analogy (SIMCA), were employed. All of the samples were analyzed by PCA. Most of the samples were used to set up DFA and SIMCA models, and then the remaining samples (Nos. 9, 10, 17, 18, 29, 30, 34, 43, 44, 50, and 51) were projected onto the DFA and SIMCA models in the form of black dots to validate the models. The results indicated that Chinese red ginseng and Korean ginseng were successfully discriminated using the electronic nose coupled with PCA, DFA and SIMCA. The checking scores of the DFA and SIMCA models were 100. The samples projected onto the DFA and SIMCA models were all correctly discriminated. The DFA and SIMCA models were robust. Electronic nose technology is a rapid, accurate, sensitive and nondestructive method to discriminate between Chinese red ginseng and Korean ginseng.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22742921     DOI: 10.1016/j.jpba.2012.06.009

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  9 in total

1.  A rapid discrimination of authentic and unauthentic Radix Angelicae Sinensis growth regions by electronic nose coupled with multivariate statistical analyses.

Authors:  Jie Liu; Weixin Wang; Yaojun Yang; Yuning Yan; Wenyi Wang; Haozhong Wu; Zihe Ren
Journal:  Sensors (Basel)       Date:  2014-10-27       Impact factor: 3.576

2.  Discrimination of American ginseng and Asian ginseng using electronic nose and gas chromatography-mass spectrometry coupled with chemometrics.

Authors:  Shaoqing Cui; Jianfeng Wu; Jun Wang; Xinlei Wang
Journal:  J Ginseng Res       Date:  2016-02-06       Impact factor: 6.060

Review 3.  Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges.

Authors:  Huaying Zhou; Dehan Luo; Hamid GholamHosseini; Zhong Li; Jiafeng He
Journal:  Sensors (Basel)       Date:  2017-05-09       Impact factor: 3.576

4.  Placebo design in WHO-registered trials of Chinese herbal medicine need improvements.

Authors:  Xuan Zhang; Ran Tian; Chen Zhao; Xudong Tang; Aiping Lu; Zhaoxiang Bian
Journal:  BMC Complement Altern Med       Date:  2019-11-06       Impact factor: 3.659

5.  Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods.

Authors:  Chenghao Fei; Chenchen Ren; Yulin Wang; Lin Li; Weidong Li; Fangzhou Yin; Tulin Lu; Wu Yin
Journal:  Sci Rep       Date:  2021-01-20       Impact factor: 4.379

6.  Characterization and Analysis of Okoume and Aiele Essential Oils from Gabon by GC-MS, Electronic Nose, and Their Antibacterial Activity Assessment.

Authors:  Youssra Aghoutane; Mohammed Moufid; Soukaina Motia; Guy Stephane Padzys; Linda Priscilia Omouendze; Eduard Llobet; Benachir Bouchikhi; Nezha El Bari
Journal:  Sensors (Basel)       Date:  2020-11-26       Impact factor: 3.576

7.  Rapid Identification of Asteraceae Plants with Improved RBF-ANN Classification Models Based on MOS Sensor E-Nose.

Authors:  Hui-Qin Zou; Shuo Li; Ying-Hua Huang; Yong Liu; Rudolf Bauer; Lian Peng; Ou Tao; Su-Rong Yan; Yong-Hong Yan
Journal:  Evid Based Complement Alternat Med       Date:  2014-08-19       Impact factor: 2.629

8.  Odor Discrimination by Similarity Measures of Abstract Odor Factor Maps from Electronic Noses.

Authors:  Weiqing Guo; Haohui Kong; Junzhang Wu; Feng Gan
Journal:  Sensors (Basel)       Date:  2018-08-13       Impact factor: 3.576

9.  Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose.

Authors:  Xianghao Zhan; Xiaoqing Guan; Rumeng Wu; Zhan Wang; You Wang; Guang Li
Journal:  Sensors (Basel)       Date:  2018-09-04       Impact factor: 3.576

  9 in total

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