Calendula Arvensis L. Extracts: GC-MS And HPLC-DAD Quantification Of The Main Phenolic Components And Their Pharmacological Potential

The aim of the current research was to examine and quantify the chemical composition of the chloroform extract of Calendula arvensis, as well as investigate the pharmacologicala ctivities of two different extracts using enzymatic, chemical and chromatographic methods. The plant was preserved after being dried, while HPLC and GCMS chromatographic techniques were used for quantitative analyses of the chloroform extract. Both extracts (chloroform and n-butanol) were examined for their total phenol and flavonoid contents. GC-MS analysis of the chloroform extract revealed the presence of 77 compounds; germanicol (10.25%), arachidonicacid (8.17%), hexadecanoicacid (6.94%), 17-octadecynoic acid (5.99%), syringicacid (5.22%) and p-coumaricacid (3.04%) were found to be the major constituents. Syringic and p-coumaricacids were confirmed and quantified by HPLC-DAD analysis of chloroform extract. Both extracts had a high concentration of polyphenols and demonstrated moderate antioxidant activity using five methods (DPPH, ABTS, CUPRAC reducing power and β-carotene). The chloroform extract presented an interesting inhibition against butyrylcholinesterase (BChE) with an IC<sub>50</sub>= 69.06 ± 1.33 µg/mL, near that exerted by galantamine. These results indicated that C. arvensis extracts might be used as a promising natural alternative source of antioxidant and anti-Alzheimer molecules.

Authors

Institutions

Publication Details

Journal
Pakistan Journal of Pharmaceutical Sciences
Published
2025-01-01
DOI
https://doi.org/10.36721/pjps.2025.38.4.reg.13113.1
Primary Topic
Natural product bioactivities and synthesis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Calendula Arvensis L. Extracts: GC-MS And HPLC-DAD Quantification Of The Main Phenolic Components And Their Pharmacological Potential

Fatima Mohammed Alessa, Chawki Bensouıcı, Ines Sekhara, Rokayya Sami et al.
Pakistan Journal of Pharmaceutical Sciences
Natural product bioactivities and synthesis
article

Calendula Arvensis L. Extracts: GC-MS And HPLC-DAD Quantification Of The Main Phenolic Components And Their Pharmacological Potential

Fatima Mohammed Alessa, Chawki Bensouıcı, Ines Sekhara, Rokayya Sami, Suzan Abushal, Sarah Alharthi, Tasahil S. Albishi, Imad Mennai, Giangiacomo Beretta, Sameer H. Qari, Wassila Benabderrahmane, Awatif M. Almehmadi, Manal A. Almalki, Mohammad Alanazi, Abeer Al Masoudi
article en

Abstract

The aim of the current research was to examine and quantify the chemical composition of the chloroform extract of Calendula arvensis, as well as investigate the pharmacologicala ctivities of two different extracts using enzymatic, chemical and chromatographic methods. The plant was preserved after being dried, while HPLC and GCMS chromatographic techniques were used for quantitative analyses of the chloroform extract. Both extracts (chloroform and n-butanol) were examined for their total phenol and flavonoid contents. GC-MS analysis of the chloroform extract revealed the presence of 77 compounds; germanicol (10.25%), arachidonicacid (8.17%), hexadecanoicacid (6.94%), 17-octadecynoic acid (5.99%), syringicacid (5.22%) and p-coumaricacid (3.04%) were found to be the major constituents. Syringic and p-coumaricacids were confirmed and quantified by HPLC-DAD analysis of chloroform extract. Both extracts had a high concentration of polyphenols and demonstrated moderate antioxidant activity using five methods (DPPH, ABTS, CUPRAC reducing power and β-carotene). The chloroform extract presented an interesting inhibition against butyrylcholinesterase (BChE) with an IC<sub>50</sub>= 69.06 ± 1.33 µg/mL, near that exerted by galantamine. These results indicated that C. arvensis extracts might be used as a promising natural alternative source of antioxidant and anti-Alzheimer molecules.

Pakistan Journal of Pharmaceutical SciencesVol. 38(4)
Taif University (SA), University of Milan (IT), Umm al-Qura University (SA), Taibah University (SA), King Faisal University (SA)
Taif University
Openalex Percentile: Top 83%
Natural product bioactivities and synthesis
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.