TY - JOUR
T1 - Development of a colorlessCentella asiatica(L.) Urb. extract using a natural deep eutectic solvent (NADES) and microwave-assisted extraction (MAE) optimized by response surface methodology
AU - Phaisan, Suppalak
AU - Makkliang, Fonthip
AU - Putalun, Waraporn
AU - Sakamoto, Seiichi
AU - Yusakul, Gorawit
N1 - Funding Information:
This research was financially supported by the personal research grant [grant number WU-IRG-62-024]. In addition, this research was financially supported by the new strategic research project (P2P), Walailak University, Thailand. The authors also would like to thank the facilities and support of the center for scientific and technological equipment, Walailak University, Thailand.
Publisher Copyright:
© The Royal Society of Chemistry 2021.
PY - 2021/2/19
Y1 - 2021/2/19
N2 - This study outlines a green process forCentella asiatica(L.) Urb. (CA) extraction. Natural deep eutectic solvents (NADESs) and microwave-assisted extraction (MAE) were combined to provide a high bioactive compound yield and high antioxidant activity. Among the NADESs evaluated, the combination of acetylcholine chloride : malic acid : water (1 : 2 : 2): water (40 : 60) was the best for extraction. These conditions provide high madecassoside (MS) (21.7 mg g−1dry weight) and asiaticoside (AS) (12.7 mg g−1dry weight) yields, with greater than 80% (v/v) EtOH (13.3 mg g−1MS and 7.80 mg g−1AS). In addition, the extracts from this process showed higher antioxidant activity (IC50= 0.26 mg mL−1) than the CA aqueous EtOH and water extracts. Moreover, the color of the extract products was less green than that of the extracts prepared using EtOH and aqueous EtOH as solvents, which are suitable for cosmeceutical products. Response surface methodology (RSM) was used for MAE optimization. The ANOVA data from the central composition design (CCD) of RSM were fitted with quadratic models yielding acceptableR2(>0.93), adjustedR2(>0.87), predictedR2(>0.81), and nonsignificant lack of fit (p > 0.05) values. The quadratic model was validated using optimal conditions (30 s, power 300 W, and a liquid to solid ratio 20 mL g−1), and the model validation showed more than 80% accuracy in both MS and AS yields. This research presented an effective green process for CA extraction, which resulted in an environmentally friendly CA extract requiring little energy consumption and no organic solvents.
AB - This study outlines a green process forCentella asiatica(L.) Urb. (CA) extraction. Natural deep eutectic solvents (NADESs) and microwave-assisted extraction (MAE) were combined to provide a high bioactive compound yield and high antioxidant activity. Among the NADESs evaluated, the combination of acetylcholine chloride : malic acid : water (1 : 2 : 2): water (40 : 60) was the best for extraction. These conditions provide high madecassoside (MS) (21.7 mg g−1dry weight) and asiaticoside (AS) (12.7 mg g−1dry weight) yields, with greater than 80% (v/v) EtOH (13.3 mg g−1MS and 7.80 mg g−1AS). In addition, the extracts from this process showed higher antioxidant activity (IC50= 0.26 mg mL−1) than the CA aqueous EtOH and water extracts. Moreover, the color of the extract products was less green than that of the extracts prepared using EtOH and aqueous EtOH as solvents, which are suitable for cosmeceutical products. Response surface methodology (RSM) was used for MAE optimization. The ANOVA data from the central composition design (CCD) of RSM were fitted with quadratic models yielding acceptableR2(>0.93), adjustedR2(>0.87), predictedR2(>0.81), and nonsignificant lack of fit (p > 0.05) values. The quadratic model was validated using optimal conditions (30 s, power 300 W, and a liquid to solid ratio 20 mL g−1), and the model validation showed more than 80% accuracy in both MS and AS yields. This research presented an effective green process for CA extraction, which resulted in an environmentally friendly CA extract requiring little energy consumption and no organic solvents.
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U2 - 10.1039/d0ra09934a
DO - 10.1039/d0ra09934a
M3 - Article
AN - SCOPUS:85101838181
SN - 2046-2069
VL - 11
SP - 8741
EP - 8750
JO - RSC Advances
JF - RSC Advances
IS - 15
ER -