Aqueous enzymatic extraction of rosmarinic acid from Salvia officinalis : optimisation using response surface methodology
Autor: | Chia-Hung Su, Thi Thanh Truc Pham, Hsien-Hao Cheng |
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Rok vydání: | 2020 |
Předmět: |
Plant Science
Cellulase Depsides 01 natural sciences Biochemistry Analytical Chemistry chemistry.chemical_compound food Drug Discovery Response surface methodology Salvia officinalis Chromatography biology Plant Extracts Rosmarinic acid 010401 analytical chemistry Extraction (chemistry) General Medicine Bioactive compound Thin-layer chromatography food.food 0104 chemical sciences Plant Leaves 010404 medicinal & biomolecular chemistry Complementary and alternative medicine chemistry Cinnamates Officinalis biology.protein Molecular Medicine Food Science |
Zdroj: | Phytochemical Analysis. 31:575-582 |
ISSN: | 1099-1565 0958-0344 |
DOI: | 10.1002/pca.2922 |
Popis: | Introduction Rosmarinic acid is a bioactive compound with various pharmaceutical effects and applications. Objective This work developed a new approach for aqueous enzymatic extraction of rosmarinic acid from the leaves of Salvia officinalis. Methods Different enzymes (proteases and cellulase) were evaluated for their extraction activity. Response surface methodology (RSM) was subsequently employed to optimise the extraction conditions. Thin layer chromatography was also used to identify rosmarinic acid in the extract of S. officinalis. Results Among the tested enzymes, a Cellulase A and Protamex mixture (1:1, w/w) exhibited maximum effectiveness in the extraction. Through the use of RSM, the maximum rosmarinic acid content of 28.23 ± 0.41 mg/g was obtained with enzyme loading of 4.49%, water-to-sample ratio of 25.76 mL/g, temperature of 54.3°C, and extraction time of 2 h. Conclusion This study suggests that S. officinalis is a promising source of rosmarinic acid and aqueous enzymatic extraction is an efficient and ecofriendly method for extracting rosmarinic acid, with a short extraction time and without the contamination of a toxic solvent. |
Databáze: | OpenAIRE |
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