A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue
Joint Authors
Wu, Chunjie
Xu, Min
Yang, Shi-Long
Peng, Wei
Liu, Yu-Jie
Xie, Da-Shuai
Li, Xin-Yi
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Areca nut, commonly known locally as Semen Arecae (SA) in China, has been used as an important Chinese herbal medicine for thousands of years.
The raw SA (RAW) is commonly processed by stir-baking to yellow (SBY), stir-baking to dark brown (SBD), and stir-baking to carbon dark (SBC) for different clinical uses.
In our present investigation, intelligent sensory technologies consisting of computer vision (CV), electronic nose (E-nose), and electronic tongue (E-tongue) were employed in order to develop a novel and accurate method for discrimination of SA and its processed products.
Firstly, the color parameters and electronic sensory responses of E-nose and E-tongue of the samples were determined, respectively.
Then, indicative components including 5-hydroxymethyl furfural (5-HMF) and arecoline (ARE) were determined by HPLC.
Finally, principal component analysis (PCA) and discriminant factor analysis (DFA) were performed.
The results demonstrated that these three instruments can effectively discriminate SA and its processed products.
5-HMF and ARE can reflect the stir-baking degree of SA.
Interestingly, the two components showed close correlations to the color parameters and sensory responses of E-nose and E-tongue.
In conclusion, this novel method based on CV, E-nose, and E-tongue can be successfully used to discriminate SA and its processed products.
American Psychological Association (APA)
Xu, Min& Yang, Shi-Long& Peng, Wei& Liu, Yu-Jie& Xie, Da-Shuai& Li, Xin-Yi…[et al.]. 2015. A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1063560
Modern Language Association (MLA)
Xu, Min…[et al.]. A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1063560
American Medical Association (AMA)
Xu, Min& Yang, Shi-Long& Peng, Wei& Liu, Yu-Jie& Xie, Da-Shuai& Li, Xin-Yi…[et al.]. A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1063560
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1063560