Abstract

Swertia chirata Buch.-Ham. ex C.B. Clarke is an important medicinal plant used in various herbal formulations as it shows significant biological activities such as hepatoprotective, hypoglycemic, anti-inflammatory, antimalarial, antioxidant and anti-parkinson. C-glucosyl xanthone glycoside (mangiferin) is known as bio-marker compound of genus Swertia L. Development of efficient extraction methods of C-glucosyl xanthone mangiferin from Swertia chirata was attempted by optimizing the pre-harvest, post-harvest and extraction techniques by full factorial design. Firstly, a full factorial design was implemented to evaluate the single and interactive effects of pre-harvest (growth stage and plant part), post-harvest (drying condition and storage periods) followed by selection of best extraction technique such as heat reflux extraction (HRE), microwave assisted extraction (MAE) and ultrasound assistant extraction (UAE) at different solvent types on mangiferin yield. HPTLC and HPLC techniques were used for the determination of mangiferin content in extracts generated from different plant samples. In addition, anti-oxidant and anti-diabetic properties were determined by using DPPH assay and percentage inhibition of α‑amylase enzyme. Substantial variation of mangiferin yield, ranged from 1.46 to 4.86% was observed, depending on the growth stage, plant part, drying condition, storage periods and extraction method. Results showed that drying of the leaves of Swertia chirata in the shade harvested at budding stage and stored for not more than 1 month was recommended for obtaining a higher mangiferin yield. Among different extraction techniques, MAE and UAE in 50% aqueous ethanol solvent were found to be efficient and cost-effective with better yield of mangiferin (4.82% and 4.86%, respectively) as compared to HRE (4.14%). Highest DPPH activity and percentage inhibition of α‑amylase was observed in the aqueous ethanol extract of S. chirata leaves harvested at bud-stage of plant followed by flowering stage. The study shows that optimization of various factors by full factorial design was found to be an effective procedure to improve mangiferin yield from Swertia chirata and can be used for extraction of mangiferin.

Highlights

  • IntroductionSwertia chirata Buch.-Ham. ex C.B. Clarke is an important medicinal plant used in various herbal formulations as it shows significant biological activities such as hepatoprotective, hypoglycemic, anti-inflammatory, antimalarial, antioxidant and anti-parkinson

  • The results were analyzed by one-way analysis of variance (ANOVA) followed by Duncan’s Multiple Range Test (SPSS 16 was used for Duncan’s multiple range test (DMRT) and Minitab 18 was used for full factorial design)

  • The results showed that mangiferin yield varies with the aqueous ethanol composition by keeping the extraction time 1 h

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Summary

Introduction

Swertia chirata Buch.-Ham. ex C.B. Clarke is an important medicinal plant used in various herbal formulations as it shows significant biological activities such as hepatoprotective, hypoglycemic, anti-inflammatory, antimalarial, antioxidant and anti-parkinson. Development of efficient extraction methods of C-glucosyl xanthone mangiferin from Swertia chirata was attempted by optimizing the pre-harvest, post-harvest and extraction techniques by full factorial design. A full factorial design was implemented to evaluate the single and interactive effects of pre-harvest (growth stage and plant part), post-harvest (drying condition and storage periods) followed by selection of best extraction technique such as heat reflux extraction (HRE), microwave assisted extraction (MAE) and ultrasound assistant extraction (UAE) at different solvent types on mangiferin yield. Highest DPPH activity and percentage inhibition of α‐amylase was observed in the aqueous ethanol extract of S. chirata leaves harvested at bud-stage of plant followed by flowering stage. Desired bio-active compounds should be extracted within the proper time period to get the high content as the shelf-life of plant samples varies

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