Cargando…
Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose
As alternative herbal medicine gains soar in popularity around the world, it is necessary to apply a fast and convenient means for classifying and evaluating herbal medicines. In this work, an electronic nose system with seven classification algorithms is used to discriminate between 12 categories o...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165400/ https://www.ncbi.nlm.nih.gov/pubmed/30181445 http://dx.doi.org/10.3390/s18092936 |
_version_ | 1783359828157005824 |
---|---|
author | Zhan, Xianghao Guan, Xiaoqing Wu, Rumeng Wang, Zhan Wang, You Li, Guang |
author_facet | Zhan, Xianghao Guan, Xiaoqing Wu, Rumeng Wang, Zhan Wang, You Li, Guang |
author_sort | Zhan, Xianghao |
collection | PubMed |
description | As alternative herbal medicine gains soar in popularity around the world, it is necessary to apply a fast and convenient means for classifying and evaluating herbal medicines. In this work, an electronic nose system with seven classification algorithms is used to discriminate between 12 categories of herbal medicines. The results show that these herbal medicines can be successfully classified, with support vector machine (SVM) and linear discriminant analysis (LDA) outperforming other algorithms in terms of accuracy. When principal component analysis (PCA) is used to lower the number of dimensions, the time cost for classification can be reduced while the data is visualized. Afterwards, conformal predictions based on 1NN (1-Nearest Neighbor) and 3NN (3-Nearest Neighbor) (CP-1NN and CP-3NN) are introduced. CP-1NN and CP-3NN provide additional, yet significant and reliable, information by giving the confidence and credibility associated with each prediction without sacrificing of accuracy. This research provides insight into the construction of a herbal medicine flavor library and gives methods and reference for future works. |
format | Online Article Text |
id | pubmed-6165400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61654002018-10-10 Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose Zhan, Xianghao Guan, Xiaoqing Wu, Rumeng Wang, Zhan Wang, You Li, Guang Sensors (Basel) Article As alternative herbal medicine gains soar in popularity around the world, it is necessary to apply a fast and convenient means for classifying and evaluating herbal medicines. In this work, an electronic nose system with seven classification algorithms is used to discriminate between 12 categories of herbal medicines. The results show that these herbal medicines can be successfully classified, with support vector machine (SVM) and linear discriminant analysis (LDA) outperforming other algorithms in terms of accuracy. When principal component analysis (PCA) is used to lower the number of dimensions, the time cost for classification can be reduced while the data is visualized. Afterwards, conformal predictions based on 1NN (1-Nearest Neighbor) and 3NN (3-Nearest Neighbor) (CP-1NN and CP-3NN) are introduced. CP-1NN and CP-3NN provide additional, yet significant and reliable, information by giving the confidence and credibility associated with each prediction without sacrificing of accuracy. This research provides insight into the construction of a herbal medicine flavor library and gives methods and reference for future works. MDPI 2018-09-04 /pmc/articles/PMC6165400/ /pubmed/30181445 http://dx.doi.org/10.3390/s18092936 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhan, Xianghao Guan, Xiaoqing Wu, Rumeng Wang, Zhan Wang, You Li, Guang Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose |
title | Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose |
title_full | Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose |
title_fullStr | Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose |
title_full_unstemmed | Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose |
title_short | Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose |
title_sort | discrimination between alternative herbal medicines from different categories with the electronic nose |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165400/ https://www.ncbi.nlm.nih.gov/pubmed/30181445 http://dx.doi.org/10.3390/s18092936 |
work_keys_str_mv | AT zhanxianghao discriminationbetweenalternativeherbalmedicinesfromdifferentcategorieswiththeelectronicnose AT guanxiaoqing discriminationbetweenalternativeherbalmedicinesfromdifferentcategorieswiththeelectronicnose AT wurumeng discriminationbetweenalternativeherbalmedicinesfromdifferentcategorieswiththeelectronicnose AT wangzhan discriminationbetweenalternativeherbalmedicinesfromdifferentcategorieswiththeelectronicnose AT wangyou discriminationbetweenalternativeherbalmedicinesfromdifferentcategorieswiththeelectronicnose AT liguang discriminationbetweenalternativeherbalmedicinesfromdifferentcategorieswiththeelectronicnose |