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鼠尾草(L.)蒸馏后残渣中酚类化合物的建模与优化:超声辅助提取与微波辅助提取

Modeling and Optimization of Phenolic Compounds from Sage ( L.) Post-Distillation Residues: Ultrasound- versus Microwave-Assisted Extraction.

作者信息

Irakli Maria, Bouloumpasi Elisavet, Christaki Stamatia, Skendi Adriana, Chatzopoulou Paschalina

机构信息

Hellenic Agricultural Organization-DIMITRA, Institute of Plant Breeding and Genetic Resources, Thermi, 57001 Thessaloniki, Greece.

Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

出版信息

Antioxidants (Basel). 2023 Feb 21;12(3):549. doi: 10.3390/antiox12030549.

Abstract

The essential oil production of L. generates considerable amounts of post-distillation solid residues (PRES) which are rich in phenolic compounds. In the present work, the recovery of phenolic antioxidants from PRES by using Microwave-Assisted Extraction (MAE) and Ultrasound-Assisted Extraction (UAE) were separately optimized, according to the Box-Behnken experimental design. The optimization was based on extraction yield, total phenolic content (TPC), total flavonoid content (TFC), rosmarinic acid (RMA), carnosol (CARO), carnosic acid (CARA), and antioxidant activity. The optimal processing parameters were 72% and 68% ethanol, a 15- and 10-min extraction time, a 40 °C and 47 °C extraction temperature, and a 1:30 and 1:10 solid-to-solvent ratio, for MAE and UAE, respectively. Results showed that the levels of RMA, CARO, and CARA in UAE extracts were influenced mainly by ethanol concentration, extraction time, and extraction temperature, while MAE extracts were only influenced by the first two factors. Experimenting with the optimal conditions revealed MAE as more effective than UAE in the recovery of RMA and CARA. The experimental values were in good agreement with the predicted ones, indicating model efficacy in MAE and UAE optimization to effectively extract phenolic compounds from PRES for their further application in food and pharmaceutical industries.

摘要

L.的精油生产会产生大量富含酚类化合物的蒸馏后固体残渣(PRES)。在本研究中,根据Box-Behnken实验设计,分别对利用微波辅助萃取(MAE)和超声辅助萃取(UAE)从PRES中回收酚类抗氧化剂进行了优化。优化基于萃取产率、总酚含量(TPC)、总黄酮含量(TFC)、迷迭香酸(RMA)、鼠尾草酸(CARO)、鼠尾草酚(CARA)和抗氧化活性。MAE和UAE的最佳工艺参数分别为72%和68%的乙醇、15分钟和10分钟的萃取时间、40℃和47℃的萃取温度以及1:30和1:10的固液比。结果表明,UAE提取物中RMA、CARO和CARA的含量主要受乙醇浓度、萃取时间和萃取温度的影响,而MAE提取物仅受前两个因素的影响。在最佳条件下进行实验表明,MAE在回收RMA和CARA方面比UAE更有效。实验值与预测值吻合良好,表明该模型在MAE和UAE优化中能够有效地从PRES中提取酚类化合物,以便其在食品和制药行业中进一步应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2b7/10045014/9052444cf60c/antioxidants-12-00549-g001.jpg

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