No ambiguity: Chemosensory-based ayurvedic classification of medicinal plants can be fingerprinted using E-tongue coupled with multivariate statistical analysis

Rama Jayasundar, Somenath Ghatak, Dushyant Kumar, Aruna Singh, Preeti Bhosle

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DOI: 10.3389/fphar.2022.1025591
Published: 12
Container: Frontiers in Pharmacology
Publisher: Not recorded
Open access: yes

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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

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doaj · retrieved 2026-09-25T07:04:39.541Z