Optimization of ultrasound-assisted extraction and development of an HPLC method for simultaneous determination of thirteen flavonoids in mulberry (Fructus Mori)
Guang Yang , Xinlei Wang , Ling Li , Shuai Huang , LiYing Cao , Zhiheng Feng , Mengqi Li , Jiangting Wu , Shuchang Wang , Nan Chao , Li Liu
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引用次数: 0
Abstract
This study established an integrated methodological framework for the efficient extraction and comprehensive analysis of flavonoids from mulberry (Morus alba L.). A high-performance liquid chromatography (HPLC) method was developed to simultaneously separate and identify 13 flavonoid components, including rutin, quercetin, kaempferol, and naringin, as well as their derivatives. Using seven representative flavonoids as standards, the ultrasonic-assisted extraction process was systematically optimized through single-factor and orthogonal experimental designs, followed by response surface methodology. The optimal extraction conditions were determined as follows: 80 % ethanol (v/v), an extraction time of 60 min, a solid-liquid ratio of 1:2.5 (g mL⁻¹), and a temperature of 40℃, conducted over two cycles. This optimized protocol achieved a high total flavonoid extraction yield of 84.96 %. The newly established HPLC protocol, employing a C18 column with gradient elution and dual-wavelength detection, demonstrated excellent stability and reproducibility in detecting target compounds across multiple mulberry samples. This approach features simple operation and high time efficiency. The optimized parameters suggest a profile compatible with potential scale-up, though direct evidence from pilot-scale tests and economic analysis would be required to confirm its practical industrial feasibility. Nonetheless, it provides a valuable methodological reference for the efficient extraction of natural active substances.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.