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从柠檬皮中高度清洁地回收天然抗氧化剂:基于乳酸的自动溶剂萃取。

Highly clean recovery of natural antioxidants from lemon peels: Lactic acid-based automatic solvent extraction.

机构信息

Chemical Engineering Department, Istanbul University-Cerrahpaşa, Istanbul, Turkey.

出版信息

Phytochem Anal. 2022 Jun;33(4):554-563. doi: 10.1002/pca.3109. Epub 2022 Feb 2.

Abstract

INTRODUCTION

Food industry generates large amounts of waste by-products rich in natural antioxidants. On the other hand, application of advanced processes for the recovery of these fine chemicals is another popular topic of recent years.

OBJECTIVE

The purpose of this study is to propose a green extraction method by application of deep eutectic solvent-based automated solvent extraction (AMSE) from lemon peels.

METHODS

The primary polyphenols (hesperidin, naringin, and p-coumaric acid) and the total polyphenols of the lemon peel extract were quantified and used as response for the optimisation of the AMSE conditions. The Box-Behnken design type of the response surface method (RSM) was chosen for optimisation study. Scavenging activity of the lemon peel extract against 2,2-diphenyl-1-picrylhydrazil (DPPH) free radical was also measured in vitro.

RESULTS

The optimum conditions for the highest total phenolic (7.47 mg-gallic acid equivalent [GAE]/g-lemon peel [LP]), naringin (5.05 mg/g-LP), p-coumaric acid (3.27 mg/g-LP), and hesperidin (0.07 mg/g-LP) yields were obtained by 1.5 h of extraction time, 46% water (v/v), and 5 g of peel. The antioxidant activity changed between 37.31% and 94.10% in the peels.

CONCLUSIONS

Extraction time was the most effective process factor for the total phenolic and p-coumaric acid yields, while water addition was statistically very important (p < 0.0001) for the naringin and hesperidin yields in the current AMSE system. The second-order models generated for the selected systems represent the data satisfyingly based on the high coefficients of determination (> 0.99), statistically significant p-values (<0.0001), coefficient of variation values (< 10%), and non-significant lack-of-fit values (p > 0.05).

摘要

简介

食品工业产生大量富含天然抗氧化剂的副产物。另一方面,应用先进的回收这些精细化学品的工艺也是近年来的热门话题。

目的

本研究旨在提出一种从柠檬皮中应用深共晶溶剂辅助自动化溶剂萃取(AMSE)的绿色提取方法。

方法

用柠檬皮提取物的主要多酚(橙皮苷、柚皮苷和对香豆酸)和总多酚作为响应,优化 AMSE 条件。选择响应面法(RSM)的 Box-Behnken 设计类型进行优化研究。体外还测量了柠檬皮提取物对 2,2-二苯基-1-苦基肼(DPPH)自由基的清除活性。

结果

通过 1.5 小时的提取时间、46%的水(v/v)和 5g 果皮,获得了最高总酚(7.47mg 没食子酸当量[GAE]/g 柠檬皮[LP])、柚皮苷(5.05mg/g-LP)、对香豆酸(3.27mg/g-LP)和橙皮苷(0.07mg/g-LP)产量的最佳条件。果皮中的抗氧化活性在 37.31%到 94.10%之间变化。

结论

提取时间是总酚和对香豆酸产量的最有效工艺因素,而水的添加对当前 AMSE 体系中柚皮苷和橙皮苷的产量具有统计学意义(p<0.0001)。所选系统生成的二阶模型基于高决定系数(>0.99)、统计上显著的 p 值(<0.0001)、变异系数值(<10%)和无拟合值(p>0.05)令人满意地表示数据。

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