Enzymes-assisted green ultrasonic extraction with UPLC-DAD quantification of phenolic compounds in chia seeds with a comparative evaluation based on geographical origins

酶辅助绿色超声提取结合UPLC-DAD定量分析奇亚籽中的酚类化合物,并基于地理来源进行比较评价

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Abstract

BACKGROUND: This study aims to enhance the recovery of chia phenolic using a green ultrasound extraction (UA) with different individual and mixed-enzymes models followed by a simultaneous determination of the phenolic [chlorogenic acid (cGA), rosmarinic acid (RA), ferulic acid (FA), quercetin (QT), kaempferol (KF)] using an in-house developed UPLC-DAD method across eleven different geographical origins. METHODOLOGY: Green solvents of acetone (ACT), ethanol (EtOH), and water (H(2)O) were used for UA of chia phenolic whereas, UPLC-DAD method was validated for simultaneous determination of phenolic. The enzymes of protease, cellulase, viscozyme, and α-amylase (1-5%) were applied to enhance the phenolic recovery. RESULTS: The optimal solvent (UA-MD) with highest phenolic recovery (168.41 ppm) was ACT: H(2)O (70: 30 v/v) whereas, UA-MV revealed the order for phenolic yield: US > KSA > Ecuador. The pretreatment with enzymes resulted more yield for RA, cGA, and FA using viscozyme and α-amylase whereas, protease enzyme favored QT and KF. The mixed enzymes model showed synergistic effects for protease-amylase and cellulase-viscozyme systems. The UPLC-DAD method exhibited a separation in 8 min with excellent sensitivity LOD (0.02-0.14 ppm). CONCLUSION: An effective green UA-based enzymes assisted model was developed with an enhanced release for chia phenolic.

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