Literature DB >> 21497037

Can odors of TCM be captured by electronic nose? The novel quality control method for musk by electronic nose coupled with chemometrics.

Tao Ye1, Cheng Jin, Jian Zhou, Xingfeng Li, Haitao Wang, Pingye Deng, Ying Yang, Yanwen Wu, Xiaohe Xiao.   

Abstract

Musk is a precious and wide applied material in traditional Chinese medicine, also, an important material for the perfume industry all over the world. To establish a rapid, cost-effective and relatively objective assessment for the quality of musk, different musk samples, including authentic, fake and adulterate, were collected. A oxide sensor based electronic nose (E-nose) was employed to measure the musk samples, the E-nose generated data were analyzed by principal component analysis (PCA), the responses of 18 sensors of E-nose were evaluated by loading analysis. Results showed that a rapid evaluation of complex response of the samples could be obtained, in combination with PCA and the perception level of the E-nose was given better results in the recognition values of the musk aroma. The authentic, fake and adulterate musk could be distinguished by E-nose coupled with PCA, sensor 2, 3, 5, 12, 15 and 17 were found to be able to better discriminate between musk samples, confirming the potential application of an electronic instrument coupled with chemometrics for a rapid and on-line quality control for the traditional medicines.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21497037     DOI: 10.1016/j.jpba.2011.03.018

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


  10 in total

1.  A novel method for the discrimination of Hawthorn and its processed products using an intelligent sensory system and artificial neural networks.

Authors:  Da-Shuai Xie; Wei Peng; Jun-Cheng Chen; Liang Li; Chong-Bo Zhao; Shi-Long Yang; Min Xu; Chun-Jie Wu; Li Ai
Journal:  Food Sci Biotechnol       Date:  2016-12-31       Impact factor: 2.391

2.  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

3.  Identification of chinese herbal medicines from zingiberaceae family using feature extraction and cascade classifier based on response signals from e-nose.

Authors:  Lian Peng; Hui-Qin Zou; Rudolf Bauer; Yong Liu; Ou Tao; Su-Rong Yan; Yu Han; Jia-Hui Li; Zhi-Yu Ren; Yong-Hong Yan
Journal:  Evid Based Complement Alternat Med       Date:  2014-06-19       Impact factor: 2.629

4.  A New Strategy for Deleting Animal drugs from Traditional Chinese Medicines based on Modified Yimusake Formula.

Authors:  Jinghui Wang; Yan Li; Yinfeng Yang; Xuetong Chen; Jian Du; Qiusheng Zheng; Zongsuo Liang; Yonghua Wang
Journal:  Sci Rep       Date:  2017-05-04       Impact factor: 4.379

5.  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

6.  Determination of the geographical origin of Tetrastigma hemsleyanum Diels & Gilg using an electronic nose technique with multiple algorithms.

Authors:  Zhizhuang Wu; Xiaodan Ye; Fangyuan Bian; Ganglei Yu; Guibing Gao; Jiande Ou; Yukui Wang; Yueqiao Li; Xuhua Du
Journal:  Heliyon       Date:  2022-09-28

Review 7.  Zoology, chemical composition, pharmacology, quality control and future perspective of Musk (Moschus): a review.

Authors:  Kai Liu; Long Xie; Mao Deng; Xumin Zhang; Jia Luo; Xiaofang Li
Journal:  Chin Med       Date:  2021-06-19       Impact factor: 5.455

8.  A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue.

Authors:  Min Xu; Shi-Long Yang; Wei Peng; Yu-Jie Liu; Da-Shuai Xie; Xin-Yi Li; Chun-Jie Wu
Journal:  Evid Based Complement Alternat Med       Date:  2015-08-26       Impact factor: 2.629

9.  Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Chemometrics.

Authors:  Qin Long; Zhong Li; Bin Han; Hamid Gholam Hosseini; Huaying Zhou; Shumei Wang; Dehan Luo
Journal:  Sensors (Basel)       Date:  2019-01-30       Impact factor: 3.576

10.  Quality grade classification of China commercial moxa floss using electronic nose: A supervised learning approach.

Authors:  Min Yee Lim; Jian Huang; Fu-Rong He; Bai-Xiao Zhao; Hui-Qin Zou; Yong-Hong Yan; Hui Hu; Dong-Sheng Qiu; Jun-Jie Xie
Journal:  Medicine (Baltimore)       Date:  2020-08-14       Impact factor: 1.817

  10 in total

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