Jiequn Bao , Ying Li , Yu Zhang , Shibing Yang , Fang Yang , Jun Dang
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引用次数: 0
Abstract
Functional food research is hindered by the complex natural food matrices, which demand accurate, rapid methods for identifying bioactive compounds. Here, we developed an activity-guided online HPLC-pancreatic lipase recognition system to simultaneously recognize and monitor active chromatographic peaks in Rubus irritans fruit extracts. Four compounds, namely cinnamic acid (1), 5-hydroxy-6,7,3′,4′-tetramethoxyflavone (2), 1-hydroxy-2,3,5-trimethoxyxanthone (3), and salvigenin (4), were first isolated from these fruits via medium- and high-pressure liquid chromatography. In vitro assays showed that all inhibited pancreatic lipase, with IC₅₀ values of 444.90 ± 0.19, 142.64 ± 0.93, 168.70 ± 0.64, and 118.84 ± 0.89 μM, respectively. Salvigenin (4) acted via reversible competitive inhibition. Molecular docking revealed the binding modes of the four compounds in the pancreatic lipase active site, with salvigenin exhibiting the lowest binding energy (-7.3 kcal/mol), followed by compounds 1–3 (-5.4, −6.8, and −6.9 kcal/mol). DFT calculations indicated that salvigenin had a smaller HOMO-LUMO gap and a higher dipole moment, suggesting favorable reactivity. Overall, our study's primary contribution is the establishment of an efficient activity-guided online recognition system for precisely recognizing and isolating natural pancreatic lipase inhibitors from edible fruits, with R. irritans fruits and their derived salvigenin identified as promising functional food ingredients.
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.