Published January 1, 2022
| Version v1
Journal article
Open
Chemometrics Evaluation of Phytochemicals and Antioxidant Activities of the Extracts of Chaerophyllum Bulbosum Roots and Aerial Parts
Creators
- 1. Mugla Sitki Kocman Univ, Mugla Vocat Sch, Dept Chem & Chem Proc Technol, TR-48000 Mugla, Turkey
- 2. Konya Tech Univ, Tech Sci Vocat Sch, Chem & Chem Proc Technol Dept, Konya, Turkey
- 3. Mugla Sitki Kocman Univ, Fac Sci, Dept Chem, Mugla, Turkey
- 4. Istanbul Univ, Fac Pharm, Dept Pharmaceut Bot, Istanbul, Turkey
Description
The objective of this study was provide the first report to assess the high-performance liquid chromatography-diode array detection (HPLC-DAD) identification of phytochemicals, the spectrophotometric determination of total phenolics and flavonoids, and antioxidant activities of the root and aerial extracts of Chaerophyllum bulbosum. HPLC-DAD identified the main phytochemical to be rosmarinic acid in the roots in the acetone (CBRA) (13.98 +/- 0.12 mg/g) and the aerial water (CBAW) extract; myricetin (8.30 +/- 0.22 mg/g) in the root methanol extract (CBRM); trans-aconitic acid (6.46 +/- 0.49 mg/g) in the root water extract (CBRW) and fumaric acid in the aerial methanol (CBAM) (17.43 +/- 0.87 mg/g) and water CBAW (18.96 +/- 0.81 mg/g) extracts. The concentrations of total phenolics and flavonoids were 2.00 +/- 0.14-17.79 +/- 0.99 mu g PEs/mg extract and 2.90 +/- 0.00-27.64 +/- 0.37 mu g QEs/mg extract, respectively. The highest antioxidant activity was found in the root acetone extract (CBRA) using the beta-carotene-linoleic (IC50: 172.31 +/- 0.16 mu g/mL) and CUPRAC (A(0.50): 126.00 +/- 0.24 mu g/mL) assays and in the root water extract (CBRW) for DPPH center dot (IC50: 59.51 +/- 0.21 mu g/mL) and metal chelating (IC50: 65.91 +/- 0.36 mu g/mL) assays in the aerial water extract (CBAW) using the ABTS(center dot+) (IC50: 59.51 +/- 0.21 mu g/mL) assay. The relationship between the phytochemicals and antioxidant activities of the extracts was chemometrically determined by principal component analysis (PCA) and hierarchical cluster analysis (HCA).
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