Screening of Bioactive Compounds in Lettuce: Multivariate Optimization of an Ultrasound-Assisted Solid–Liquid Extraction Procedure

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Aldana Ayelén Lemos, Verónica Carolina Soto Vargas, Rodolfo Germán Wuilloud, Roxana Elizabeth González
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Abstract

Lettuce (Lactuca sativa L.) is one of the most consumed vegetables worldwide and is considered a good source of health-promoting compounds. The objective of this work was to apply a multivariate design of experiments through a screening stage followed by optimization of factors that affect the extraction of phytochemicals present in lettuce. A response surface methodology was employed and, specifically, a central composite design model, for the optimization of the methods. The optimal conditions for the extraction of chlorophyll a, b, and total carotenoids were as follows: 4.8 mL of acetone:water (80:20 v/v) and 10 mg of sample with ultrasound-assisted extraction for 5 min. On the other hand, for anthocyanin and phenolic compounds, the optimal conditions were as follows: 5 mL of acetone:acidified water (80:20 v/v) and 20 mg of sample for 5 min with ultrasound-assisted extraction. The experimental model was followed by spectrophotometry methodology for a comprehensive characterization. Optimal conditions were applied for the simultaneous extraction and determination of the above-mentioned compounds in different lettuce cultivars. Both extraction methods successfully extract different phytochemicals by reducing the volume of solvent, sample mass, and extraction time compared to previously reported methods. The results obtained showed a significant variability in the content of phytochemicals; therefore, it could be estimated that the different cultivars of lettuce evaluated will exhibit different beneficial health effects.

Abstract Image

生菜中生物活性化合物的筛选:超声辅助固液萃取程序的多元优化
莴苣(Lactuca sativa L.)是全世界食用量最大的蔬菜之一,被认为是促进健康的化合物的良好来源。这项工作的目的是通过筛选阶段应用多元实验设计,然后对影响莴苣中植物化学物质提取的因素进行优化。优化方法采用了响应面方法,特别是中心复合设计模型。提取叶绿素 a、b 和总类胡萝卜素的最佳条件如下:4.8 mL 丙酮:水(80:20 v/v)和 10 mg 样品,超声辅助萃取 5 分钟。另一方面,花青素和酚类化合物的最佳萃取条件如下:5 mL 丙酮:酸化水(80:20 v/v),20 mg 样品,超声辅助萃取 5 分钟。实验模型采用分光光度法进行综合表征。采用最佳条件同时提取和测定了不同莴苣品种中的上述化合物。与之前报道的方法相比,这两种萃取方法都能减少溶剂用量、样品质量和萃取时间,从而成功萃取出不同的植物化学物质。结果表明,植物化学物质的含量差异很大,因此可以估计,所评估的不同品种的莴苣将表现出不同的有益健康的功效。
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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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