| Literature DB >> 36234981 |
Kamal Y Thajudeen1, Yahya I Asiri2, Shahana Salam3, Shabeer Ali Thorakkattil4, Mohamed Rahamathulla5, Ilyas Uoorakkottil6.
Abstract
The objectives of this study were to optimize and quantify the maximum percentage yield of eupalitin-3-O-β-D-galactopyranosidefrom Boerhavia diffusa leaves using response surface methodology (RSM), as well as to demonstrate the hepatoprotective benefits of the bioactive compound. The Box-Behnken experimental design was utilized to optimize the eupalitin-3-O-β-D-galactopyranoside extraction procedure, which also looked at the extraction duration, temperature, and solvent concentration as independent variables. Boerhaviadiffusa leaves were extracted, and n-hexane, chloroform, ethyl acetate, and water were used to fractionate the dried extracts. The dried ethyl acetate fraction was thoroughly mixed in hot methanol and stored overnight in the refrigerator. The cold methanol was filtered, the solid was separated, and hot methanol was used many times to re-crystallize the solid to obtain pure eupalitin-3-O-β-D-galactopyranoside (0.1578% w/w). The proposed HPTLC method for the validation and quantification of eupalitin-3-O-β-D-galactopyranosidewassuccessfully validated and developed. The linearity (R2 = 0.994), detection limit (30 ng), and quantification limit (100 ng) of the method, as well as its range (100-5000 ng), inter and intraday precision (0.67% and 0.991% RSD), specificity, and accuracy (99.78% RSD), were all validated as satisfactory. The separation of the eupalitin-3-O-β-D-galactopyranoside band was achieved on an HPTLC plate using toluene:acetone:water (5:15:1 v/v) as a developing system. The Box-Behnken statistical design was used to determine the best optimization method, which was found to be extraction time (90 min), temperature (45 °C), and solvent ratio (80% methanol in water v/v) for eupalitin-3-O-β-D-galactopyranoside. Standard silymarin ranged from 80.2% at 100 µg/mL to 86.94% at 500 µg/mL in terms of significant high hepatoprotection (cell induced with carbon tetrachloride 0.1%), whereas isolated eupalitin-3-O-β-D-galactopyranoside ranged from 62.62% at 500 µg/mL to 70.23% at 1000 µg/mL. More recently, it is a source of structurally unique flavonoid compounds that may offer opportunities for developing novel semi-synthetic molecules.Entities:
Keywords: Boerhaviadiffusa Linn.; HPTLC; eupalitin-3-O-β-D-galactopyranoside; hepatoprotective activity; optimization
Mesh:
Substances:
Year: 2022 PMID: 36234981 PMCID: PMC9573120 DOI: 10.3390/molecules27196444
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.927
Figure 1The chemical structure of eupalitin-3-O-β-D-galactopyranoside.
Figure 2HPTLC densitogram of eupalitin-3-O-β-D-galactopyranoside and hydro-alcoholic extract in toluene: acetone: water (5:15:1) presented on HPTLC plate scanned at 366 nm.
Figure 3Chromatogram of eupalitin-3-O-β-D-galactopyranoside (Rf = 0.56).
Method validation parameters of eupalitin-3-O-β-D-galactopyranoside.
| Parameters | Eupalitin-3- |
|---|---|
| LOD (ng) | 30 ng |
| LOQ (ng) | 100 ng |
| Specificity | Specific |
| Inter-day Precision (% RSD) | 0.67 |
| Intra-day precision(% RSD) | 0.991 |
| Regression equation | Y = 942.204 + 2.436 X |
| Linearity Range (Concentration) | 100–5000 ng |
| Average recovery % RSD | 99.78 |
| Rf value | 0.56 |
| Correlation coefficient | 0.9984 |
Regression analysis results for models and responses (Y1) regression equations for the final suggested models.
| Drugs | Models F Value |
| Adjusted | Predicted | SD | C.V.% |
|---|---|---|---|---|---|---|
| Eupalitin 3- | Linear | 0.540 | 0.4341 | 0.0799 | 0.00490 | - |
| 2F1 | 0.890 | 0.7761 | 0.0181 | 0.00281 | - | |
| Cubic | 0.960 | 0.8231 | - | 0.00310 | - | |
| Quadratic | 0.8990 | 0.8200 | 0.5941 | 0.00281 | 8.04 |
Figure 4(A) Response surface plots of factor B2 vs. A1 against eupalitin-3-O-β-D-galactopyranoside: when time of extraction increases, the % yield of eupalitin-3-O-β-D-galactopyranoside also increases due to time required to penetrate solvent into plant materials; (B) response surface plots of factor C3 vs. B2 against eupalitin-3-O-β-D-galactopyranoside: As the temperature increases, the % yield of eupalitin-3-O-β-D-galactopyranoside also increases, respectively, due to thermo stable compounds; (C) response surface plots of factor C3 vs. A1 against eupalitin-3-O-β-D-galactopyranoside: the solvent ratio was higher, and the yield of eupalitin-3-O-β-D-galactopyranoside was higher. This could be attributed to the compound’s medium polarity.
Figure 5Effect of the eupalitin-3-O-β-D-galactopyranoside on CCl4-induced toxicity in HepG2 cells. HepG2 cells were incubated in the presence/absence of various compounds for 2h prior to treatment with CCl4 (0.1%) for 2h. Thereafter, the cells were processed for the MTT assay. The results are expressed as mean ± SEM. ## Carbon tetrachloride toxic group significant, “n.s” p > 0.05, ** p < 0.01, * p < 0.05 compared to the control group.
Effect of eupalitin-3-O-β-D-galactopyranoside and standard silymarin on CCl4 induced hepatotoxicity.
| Conc. | Control | CCl4 (0.1%) | Standard | Eupalitin-3- | Supernatant Ethyl Acetate + CCl4 | Chloroform |
|---|---|---|---|---|---|---|
| 100 | 97.1 ± 2.2 | 15.2 ± 0.6 ## | 80.12 ± 0.7 ** | 57.82 ± 3 ** | 23.84 ± 2.1 ns | 21.32 ± 1.9 ns |
| 500 | - | - | 86.94 ± 0.5 ** | 62.6 ± 1.5 ** | 42.7 ± 2.8 * | 22.99 ± 1.6 ns |
| 1000 | - | - | - | 70.23 ± 1.5 ** | 26.66 ± 3.4 ns | 22.95 ± 2.6 ns |
ns: non-significant, n = 3, data±S.E.M. Groups I-4 were compared against group II using Dunnett’s post hoc test. ## Carbon tetrachloride toxic group significant, ns p > 0.05, ** p < 0.01, * p < 0.05.
Independent and dependent variables selected in Box–Behnken design.
| Factors Independent Variables | Levels Used | ||
|---|---|---|---|
| Low (−1) | Medium | High (+1) | |
| A1 = Time in min | 30 | 60 | 90 |
| B2 = Temperature (°C) | 30 | 45 | 60 |
| C3 = Solvent ratio (% | 40 | 60 | 80 |
| Dependent Variables |
| ||
| Y1 = Eupalitin-3- | Maximized | ||
Mentioned responses in Box–Behnken design experiment for 17 analytical trails.
| Run | Factor-1 (A1): | Factor-2 (B2): | Factor-3 (C3): | % Yield Eupalitin- |
|---|---|---|---|---|
| 01 | 30 | 30 | 60 | 0.0331 |
| 02 | 90 | 30 | 60 | 0.0234 |
| 03 | 30 | 60 | 60 | 0.0381 |
| 04 | 90 | 60 | 60 | 0.0429 |
| 05 | 30 | 45 | 40 | 0.0369 |
| 06 | 90 | 45 | 40 | 0.0259 |
| 07 | 30 | 45 | 80 | 0.0339 |
| 08 | 90 | 45 | 80 | 0.042 |
| 09 | 60 | 30 | 40 | 0.022 |
| 10 | 60 | 60 | 40 | 0.041 |
| 11 | 60 | 30 | 60 | 0.0369 |
| 12 | 60 | 60 | 80 | 0.0389 |
| 13 | 60 | 45 | 60 | 0.0351 |
| 14 | 60 | 45 | 60 | 0.0351 |
| 15 | 60 | 45 | 60 | 0.0339 |
| 16 | 60 | 45 | 60 | 0.0341 |
| 17 | 60 | 45 | 60 | 0.0359 |