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超声辅助提取牡丹籽油及其脂肪酸组成的优化。

Optimization of Ultrasonic-assisted Extraction and Fatty Acid Composition of Oil from Paeonia suffruticosa Andr. Seed.

机构信息

School of Marine Science Ningbo University.

出版信息

J Oleo Sci. 2021;70(1):39-49. doi: 10.5650/jos.ess20206.

Abstract

Response surface methodology (RSM) was applied to optimize the effects of extraction parameters including time, power, temperature and liquid-to-solid ratio on peony seed oil yield. Box-Behnken design (BBD) was employed for optimization of extraction parameters in oil yield that extracted assisting by ultrasonic while petroleum ether as solvent. The chemical composition of peony seed oil under optimal condition in ultrasonic-assisted extract method was analyzed by gas chromatography-mass spectrometry (GC-MS). The optimal conditions were that extraction time 45 min, extraction temperature 45°C, extraction power 90 W and liquid-to-solid ratio 7:1, respectively. Under this condition, the extraction yield value was 33.90% which was with 95% confidence level, hence indicated the reliability of RSM in optimizing ultrasonic-assisted extraction of oil from Paeonia suffruticosa Andr. seed. Three unsaturated fatty acid of peony oil such as n-3 α-linolenic acid (39.75%), n-6 linoleic acid (26.32%) and the oleic acid (23.66%), totally more than 89.00% was determined at optimum condition.

摘要

响应面法(RSM)被应用于优化提取参数,包括时间、功率、温度和液固比,以提高牡丹籽油的产量。采用 Box-Behnken 设计(BBD)对超声辅助提取时的提取参数进行优化,以石油醚为溶剂。通过气相色谱-质谱联用(GC-MS)分析了在超声辅助提取方法的最佳条件下牡丹籽油的化学成分。最佳条件为提取时间 45 min、提取温度 45°C、提取功率 90 W 和液固比 7:1,在此条件下,提取产率为 33.90%,置信水平为 95%,表明 RSM 在优化牡丹籽油的超声辅助提取方面具有可靠性。在最佳条件下,牡丹籽油中三种不饱和脂肪酸,包括 n-3 α-亚麻酸(39.75%)、n-6 亚油酸(26.32%)和油酸(23.66%),总含量超过 89.00%。

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