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微波辅助提取废咖啡渣中的酚类化合物。应用实验设计优化工艺。

Microwave-Assisted Extraction of Phenolic Compounds from Spent Coffee Grounds. Process Optimization Applying Design of Experiments.

机构信息

Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, Portugal.

Centro de Química Estrutural, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal.

出版信息

Molecules. 2021 Dec 2;26(23):7320. doi: 10.3390/molecules26237320.

Abstract

In this study, sustainable technology microwave-assisted extraction (MAE) in association with green solvents was applied to recover phenolic compounds from spent coffee grounds (SCGs). A design of experiments (DOE) was used for process optimization. Initially, a 2 two level Fractional Factorial Design was used and ratios "solvent to solute" and "ethanol to water" were identified as the significant experimental factors. Consequently, Central Composite Design (CCD) was applied to analyze the effects of the significant variables on the response yield, total polyphenols content (TPC), and antioxidant activity (AA) by the DPPH assay method, and quadratic surfaces to optimize those responses were generated. The values of the significant factors of 16.7 (solvent/solute) and 68.9% (ethanol/water) were optimized simultaneously the yield (%) at 6.98 ± 0.27, TPC (mg GAE/g) at 117.7 ± 6.1, and AA (µmol TE/g) at 143.8 ± 8.6 and were in excellent agreement with those predicted from the CCD model. The variations of the compositions of the lipids, caffeine, pentacyclic diterpenes, and FAME as a function of the dominant factor % ethanol in the solvent mixture were analyzed by applying NMR and GC-FID, and the results obtained confirmed their determinative significance.

摘要

在这项研究中,可持续技术微波辅助提取(MAE)与绿色溶剂结合,用于从废咖啡渣(SCG)中回收酚类化合物。设计了实验(DoE)来进行工艺优化。最初,使用了 2 个 2 水平分因子设计,并且“溶剂对溶质”和“乙醇对水”的比例被确定为显著的实验因素。随后,应用中心复合设计(CCD)来分析显著变量对响应产率、总多酚含量(TPC)和 DPPH 法测定的抗氧化活性(AA)的影响,并生成了优化这些响应的二次曲面。同时优化了显著因素的 16.7(溶剂/溶质)和 68.9%(乙醇/水)的值,得到 6.98±0.27%的产率(%)、117.7±6.1mgGAE/g 的 TPC 和 143.8±8.6µmolTE/g 的 AA,与 CCD 模型预测值非常吻合。通过应用 NMR 和 GC-FID 分析了作为溶剂混合物中主要因素%乙醇的函数的脂质、咖啡因、五环二萜和 FAME 的组成变化,结果证实了它们的决定性意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edcb/8658841/6cd276636959/molecules-26-07320-g001.jpg

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