No ambiguity: Chemosensory-based ayurvedic classification of medicinal plants can be fingerprinted using E-tongue coupled with multivariate statistical analysis
- DOI
- 10.3389/fphar.2022.1025591
- Published
- 2022-12-02
- Container
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fphar.2022.1025591,
title = {No ambiguity: Chemosensory-based ayurvedic classification of medicinal plants can be fingerprinted using E-tongue coupled with multivariate statistical analysis},
author = {Rama Jayasundar and Somenath Ghatak and Dushyant Kumar and Aruna Singh and Preeti Bhosle},
year = {2022},
journal = {Frontiers in Pharmacology},
doi = {10.3389/fphar.2022.1025591},
url = {https://doi.org/10.3389/fphar.2022.1025591}
}RIS
TY - JOUR TI - No ambiguity: Chemosensory-based ayurvedic classification of medicinal plants can be fingerprinted using E-tongue coupled with multivariate statistical analysis AU - Rama Jayasundar AU - Somenath Ghatak AU - Dushyant Kumar AU - Aruna Singh AU - Preeti Bhosle PY - 2022 JO - Frontiers in Pharmacology DO - 10.3389/fphar.2022.1025591 UR - https://doi.org/10.3389/fphar.2022.1025591 ER -
APA
Jayasundar, R., Ghatak, S., Kumar, D., Singh, A., & Bhosle, P. (2022). No ambiguity: Chemosensory-based ayurvedic classification of medicinal plants can be fingerprinted using E-tongue coupled with multivariate statistical analysis. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2022.1025591
Source records
- crossref · retrieved 2026-11-10T09:33:15.460Z