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使用期望函数法优化从咖啡渣中提取物质的工艺

Optimization of the Extraction from Spent Coffee Grounds Using the Desirability Approach.

作者信息

Gigliobianco Maria Rosa, Campisi Barbara, Peregrina Dolores Vargas, Censi Roberta, Khamitova Gulzhan, Angeloni Simone, Caprioli Giovanni, Zannotti Marco, Ferraro Stefano, Giovannetti Rita, Angeloni Cristina, Lupidi Giulio, Pruccoli Letizia, Tarozzi Andrea, Voinovich Dario, Martino Piera Di

机构信息

School of Pharmacy, University of Camerino, 62032 Camerino, Italy.

Department of Economic, Business, Matematic and Statistical Sciences, University of Trieste, 34127 Trieste, Italy.

出版信息

Antioxidants (Basel). 2020 Apr 29;9(5):370. doi: 10.3390/antiox9050370.

DOI:10.3390/antiox9050370
PMID:32365615
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7278729/
Abstract

The purpose of this work was the optimization of the extraction from spent coffee grounds, specifically 100% Arabica coffee blends, using a desirability approach. Spent coffees were recovered after the preparation of the espresso coffee under the typical conditions used in coffee bars with a professional machine. Spent coffee was subjected to different extraction procedures in water: by changing the extraction temperature (60, 80, or 100 °C) and the solvent extraction volume (10, 20, 30 mL for 1 gram of coffee) and by maintaining constant the extraction time (30 minutes). The ranges of the process parameters, as well as the solvent to be used, were established by running preliminary experiments not reported here. The variables of interest for the experimental screening design were the content of caffeine, trigonelline, and nicotinic acid, quantitatively determined from regression lines of standard solutions of known concentrations by a validated HPLC-VWD method. Since solvent extraction volumes and temperatures were revealed to be the most significant process variables, for the optimization of the extraction process, an approach based on Response Surface Methodology (RSM) was considered. In particular, a Box-Wilson Central Composite Design, commonly named central composite design (CCD), was used to find the optimal conditions of the extraction process. Moreover, the desirability approach was then applied to maximize the extraction efficiency by searching the optimal values (or at least the best compromise solution) for all three response variables simultaneously. Successively, the best extract, obtained in a volume of 20 mL of water at an extraction temperature of 80 °C, was analyzed for total phenol content (TPC) through the Folin-Ciocalteu assay, and the antioxidant capacities (AC) through the trolox equivalent (TE) antioxidant capacity (DPPH), ferric-ion reducing antioxidant parameter (FRAP), and radical cation scavenging activity and reducing power (ABTS). The TPC and the AC for spent coffee were high and comparable to the results obtained in previous similar studies. Then, the extract was evaluated by inductively coupled plasma mass spectrometry (ICP-MS), revealing that potassium was the most abundant element, followed by phosphorus, magnesium, calcium, sodium, and sulfur, while very low content in heavy metals was observed. Preliminary in vitro assays in keratinocyte HaCaT cells were carried out to assess the safety, in terms of cytotoxicity of spent coffee, and results showed that cell viability depends on the extract concentration: cell viability is unmodified up to a concentration of 0.3 mg/mL, over which it becomes cytotoxic for the cells. Spent coffee extract at 0.03 and 0.3 mg/mL showed the ability to reduce intracellular reactive oxygen species formation induced by hydrogen peroxide in HaCaT cells, suggesting its antioxidant activity at intracellular levels.

摘要

本研究的目的是采用期望函数法优化从咖啡渣(具体为100%阿拉比卡混合咖啡)中提取成分的工艺。咖啡渣是在咖啡吧使用专业机器按照典型条件制备浓缩咖啡后回收得到的。将咖啡渣在水中进行不同的提取操作:改变提取温度(60、80或100℃)和溶剂提取体积(每1克咖啡10、20、30毫升),同时保持提取时间恒定(30分钟)。工艺参数的范围以及所使用的溶剂是通过未在此处报告的初步实验确定的。用于实验筛选设计的感兴趣变量是咖啡因、胡芦巴碱和烟酸的含量,通过经过验证的高效液相色谱 - 可变波长检测器(HPLC - VWD)方法,根据已知浓度标准溶液的回归曲线进行定量测定。由于溶剂提取体积和温度被证明是最显著的工艺变量,为了优化提取工艺,考虑采用基于响应面方法(RSM)的方法。具体而言,使用了通常称为中心复合设计(CCD)的Box - Wilson中心复合设计来找到提取工艺的最佳条件。此外,随后应用期望函数法,通过同时搜索所有三个响应变量的最佳值(或至少是最佳折衷解决方案)来最大化提取效率。接着,对在80℃下用20毫升水提取得到的最佳提取物,通过福林 - 西奥尔特法测定总酚含量(TPC),并通过特洛克斯当量(TE)抗氧化能力(DPPH)、铁离子还原抗氧化参数(FRAP)以及自由基阳离子清除活性和还原能力(ABTS)测定抗氧化能力(AC)。咖啡渣的TPC和AC较高,与之前类似研究的结果相当。然后,通过电感耦合等离子体质谱法(ICP - MS)对提取物进行评估,结果表明钾是含量最丰富的元素,其次是磷、镁、钙、钠和硫,而重金属含量极低。对角质形成细胞HaCaT细胞进行了初步体外试验,以评估咖啡渣的细胞毒性安全性,结果表明细胞活力取决于提取物浓度:在浓度达到0.3毫克/毫升之前细胞活力未改变,超过该浓度后对细胞具有细胞毒性。0.03和0.3毫克/毫升的咖啡渣提取物显示出能够减少HaCaT细胞中过氧化氢诱导的细胞内活性氧形成,表明其在细胞内水平具有抗氧化活性。

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