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A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue

BACKGROUND: The current astringency evaluation for herbs has become dissatisfied with the requirement of pharmaceutical process. It needed a new method to accurately assess astringency. METHODS: First, quinine, sucrose, citric acid, sodium chloride, monosodium glutamate, and tannic acid (TA) were an...

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Autores principales: Han, Xue, Jiang, Hong, Zhang, Dingkun, Zhang, Yingying, Xiong, Xi, Jiao, Jiaojiao, Xu, Runchun, Yang, Ming, Han, Li, Lin, Junzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551371/
https://www.ncbi.nlm.nih.gov/pubmed/28839378
http://dx.doi.org/10.4103/pm.pm_455_16
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author Han, Xue
Jiang, Hong
Zhang, Dingkun
Zhang, Yingying
Xiong, Xi
Jiao, Jiaojiao
Xu, Runchun
Yang, Ming
Han, Li
Lin, Junzhi
author_facet Han, Xue
Jiang, Hong
Zhang, Dingkun
Zhang, Yingying
Xiong, Xi
Jiao, Jiaojiao
Xu, Runchun
Yang, Ming
Han, Li
Lin, Junzhi
author_sort Han, Xue
collection PubMed
description BACKGROUND: The current astringency evaluation for herbs has become dissatisfied with the requirement of pharmaceutical process. It needed a new method to accurately assess astringency. METHODS: First, quinine, sucrose, citric acid, sodium chloride, monosodium glutamate, and tannic acid (TA) were analyzed by electronic tongue (e-tongue) to determine the approximate region of astringency in partial least square (PLS) map. Second, different concentrations of TA were detected to define the standard curve of astringency. Meanwhile, coordinate-concentration relationship could be obtained by fitting the PLS abscissa of standard curve and corresponding concentration. Third, Chebulae Fructus (CF), Yuganzi throat tablets (YGZTT), and Sanlejiang oral liquid (SLJOL) were tested to define the region in PLS map. Finally, the astringent intensities of samples were calculated combining with the standard coordinate-concentration relationship and expressed by concentrations of TA. Then, Euclidean distance (E(d)) analysis and human sensory test were processed to verify the results. RESULTS: The fitting equation between concentration and abscissa of TA was Y = 0.00498 × e((−X/0.51035)) + 0.10905 (r = 0.999). The astringency of 1, 0.1 mg/mL CF was predicted at 0.28, 0.12 mg/mL TA; 2, 0.2 mg/mL YGZTTs was predicted at 0.18, 0.11 mg/mL TA; 0.002, 0.0002 mg/mL SLJOL was predicted at 0.15, 0.10 mg/mL TA. The validation results showed that the predicted astringency of e-tongue was basically consistent to human sensory and was more accuracy than E(d) analysis. CONCLUSION: The study indicated the established method was objective and feasible. It provided a new quantitative method for astringency of herbs. SUMMARY: The astringency of Chebulae Fructus, Yuganzi throat tablets, and Sanlejiang oral liquid was predicted by electronic tongue. Euclidean distance analysis and human sensory test verified the results. A new strategy which was objective, simple, and sensitive to compare astringent intensity of herbs and preparations was provided. Abbreviations used: CF: Chebulae Fructus; E-tongue: Electronic tongue; Ed: Euclidean distance; PLS: Partial least square; PCA: Principal component analysis; SLJOL: Sanlejiang oral liquid; TA: Tannic acid; VAS: Visual analog scale; YGZTT: Yuganzi throat tablets.
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spelling pubmed-55513712017-08-24 A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue Han, Xue Jiang, Hong Zhang, Dingkun Zhang, Yingying Xiong, Xi Jiao, Jiaojiao Xu, Runchun Yang, Ming Han, Li Lin, Junzhi Pharmacogn Mag Original Article BACKGROUND: The current astringency evaluation for herbs has become dissatisfied with the requirement of pharmaceutical process. It needed a new method to accurately assess astringency. METHODS: First, quinine, sucrose, citric acid, sodium chloride, monosodium glutamate, and tannic acid (TA) were analyzed by electronic tongue (e-tongue) to determine the approximate region of astringency in partial least square (PLS) map. Second, different concentrations of TA were detected to define the standard curve of astringency. Meanwhile, coordinate-concentration relationship could be obtained by fitting the PLS abscissa of standard curve and corresponding concentration. Third, Chebulae Fructus (CF), Yuganzi throat tablets (YGZTT), and Sanlejiang oral liquid (SLJOL) were tested to define the region in PLS map. Finally, the astringent intensities of samples were calculated combining with the standard coordinate-concentration relationship and expressed by concentrations of TA. Then, Euclidean distance (E(d)) analysis and human sensory test were processed to verify the results. RESULTS: The fitting equation between concentration and abscissa of TA was Y = 0.00498 × e((−X/0.51035)) + 0.10905 (r = 0.999). The astringency of 1, 0.1 mg/mL CF was predicted at 0.28, 0.12 mg/mL TA; 2, 0.2 mg/mL YGZTTs was predicted at 0.18, 0.11 mg/mL TA; 0.002, 0.0002 mg/mL SLJOL was predicted at 0.15, 0.10 mg/mL TA. The validation results showed that the predicted astringency of e-tongue was basically consistent to human sensory and was more accuracy than E(d) analysis. CONCLUSION: The study indicated the established method was objective and feasible. It provided a new quantitative method for astringency of herbs. SUMMARY: The astringency of Chebulae Fructus, Yuganzi throat tablets, and Sanlejiang oral liquid was predicted by electronic tongue. Euclidean distance analysis and human sensory test verified the results. A new strategy which was objective, simple, and sensitive to compare astringent intensity of herbs and preparations was provided. Abbreviations used: CF: Chebulae Fructus; E-tongue: Electronic tongue; Ed: Euclidean distance; PLS: Partial least square; PCA: Principal component analysis; SLJOL: Sanlejiang oral liquid; TA: Tannic acid; VAS: Visual analog scale; YGZTT: Yuganzi throat tablets. Medknow Publications & Media Pvt Ltd 2017 2017-07-19 /pmc/articles/PMC5551371/ /pubmed/28839378 http://dx.doi.org/10.4103/pm.pm_455_16 Text en Copyright: © 2017 Pharmacognosy Magazine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Han, Xue
Jiang, Hong
Zhang, Dingkun
Zhang, Yingying
Xiong, Xi
Jiao, Jiaojiao
Xu, Runchun
Yang, Ming
Han, Li
Lin, Junzhi
A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue
title A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue
title_full A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue
title_fullStr A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue
title_full_unstemmed A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue
title_short A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue
title_sort novel quantitative prediction approach for astringency level of herbs based on an electronic tongue
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551371/
https://www.ncbi.nlm.nih.gov/pubmed/28839378
http://dx.doi.org/10.4103/pm.pm_455_16
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