HR-LCMS-Based Phytochemical Characterization of Bark Drugs from Selected Medicinal Plants

Bark drugs constitute an important component of traditional medicine and are widely used in Ayurvedic, Unani, and folk healthcare systems. The present investigation aims to evaluate and characterize the phytochemical composition of bark drugs obtained from selected medicinal plants of the Marathwada region, Maharashtra, with special emphasis on species belonging to the genus Ficus. The study integrates pharmacognostic evaluation, preliminary phytochemical screening, and advanced High-Resolution Liquid Chromatography–Mass Spectrometry (HR-LCMS) analysis to identify bioactive constituents. Bark samples of Ficus amplissima, F. arnottiana, F. benjamina, F. carica, F. elastica, F. hispida, and F. microcarpa were collected, authenticated, processed, and extracted using suitable solvents. HR-LCMS profiling revealed the presence of pharmacologically significant compounds such as quercetin, rutin, kaempferol, gallic acid, caffeic acid, lupeol, betulinic acid and ursolic acid. The detected phytoconstituents exhibit antioxidant, anti-inflammatory, antidiabetic, antimicrobial and hepatoprotective activities, supporting the ethnomedicinal relevance of these bark drugs. The study establishes chemical fingerprints for each species and provides scientific validation for their traditional therapeutic use, contributing to standardization, quality control and future drug discovery.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-25
DOI
https://doi.org/10.5281/zenodo.19755457
Primary Topic
Phytochemistry and biological activities of Ficus species
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HR-LCMS-Based Phytochemical Characterization of Bark Drugs from Selected Medicinal Plants

M. A. Kare, Soha Kshirsagar
Zenodo (CERN European Organization for Nuclear Research)
Phytochemistry and biological activities of Ficus species
article

HR-LCMS-Based Phytochemical Characterization of Bark Drugs from Selected Medicinal Plants

M. A. Kare, Soha Kshirsagar
article en

Abstract

Bark drugs constitute an important component of traditional medicine and are widely used in Ayurvedic, Unani, and folk healthcare systems. The present investigation aims to evaluate and characterize the phytochemical composition of bark drugs obtained from selected medicinal plants of the Marathwada region, Maharashtra, with special emphasis on species belonging to the genus Ficus. The study integrates pharmacognostic evaluation, preliminary phytochemical screening, and advanced High-Resolution Liquid Chromatography–Mass Spectrometry (HR-LCMS) analysis to identify bioactive constituents. Bark samples of Ficus amplissima, F. arnottiana, F. benjamina, F. carica, F. elastica, F. hispida, and F. microcarpa were collected, authenticated, processed, and extracted using suitable solvents. HR-LCMS profiling revealed the presence of pharmacologically significant compounds such as quercetin, rutin, kaempferol, gallic acid, caffeic acid, lupeol, betulinic acid and ursolic acid. The detected phytoconstituents exhibit antioxidant, anti-inflammatory, antidiabetic, antimicrobial and hepatoprotective activities, supporting the ethnomedicinal relevance of these bark drugs. The study establishes chemical fingerprints for each species and provides scientific validation for their traditional therapeutic use, contributing to standardization, quality control and future drug discovery.

Zenodo (CERN European Organization for Nuclear Research)
Sanskriti Samvardhan Mandal (IN)
Openalex Percentile: Top 8%
Phytochemistry and biological activities of Ficus species
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.