Ultrasound-Assisted Extraction of Betalains from the Amaranthus Using Natural Deep Eutectic Solvents.

IF 3.1 2区 农林科学 Q2 CHEMISTRY, APPLIED
Vivek Gupta, Vaishali Saraswat, Ganesh Alagarasan, Trivikram Nallamilli, Eswarayya Ramireddy, Raghavarao K S M S
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Abstract

Due to increasing consumer awareness, there is a growing demand for healthy foods by replacing synthetic colorants with natural alternatives. Amaranthus is a sustainable rich source of one such natural colorant, namely, betalains. Conventional extraction methods have various challenges, such as high solvent requirements and low extraction yield. To overcome these problems, the present study aims at developing a green extraction method for betalains from Amaranth by ultrasound-assisted extraction (UAE) employing natural deep eutectic solvents (NADES). Of the three Amaranth species screened, the leafy Amaranth is found to have the highest betalains content (24.79 ± 2.88 mg/100 g FW). Among the five NADES screened, lactic acid: fructose was identified as the most efficient solvent with a betalains yield of 79.68 ± 4.81 mg/100 g FW. The Box-Behnken Design (BBD) was employed to identify the best combinations of extraction process parameters. This approach enabled optimization through a reduced number of experiments. Subsequently, a machine learning model was employed to predict yield for all possible process parameter combinations. On identifying the most effective combination process parameters that resulted in the highest possible yield (306.72 mg/100 g FW), the same is experimentally validated (297.28 ± 10.76 mg/100 g FW). UAE employing NADES has resulted in a 3.7-fold increase in the yield of betalains over extraction with NADES alone and a 12-fold increase over conventional extraction. HPLC analysis confirmed that the structure remained intact even after processing. Based on the results, UAE employing NADES was demonstrated to be an attractive extraction methodology for downstream processing of betalains in particular and biomolecules, in general.

天然深共晶溶剂超声辅助提取苋菜中甜菜碱。
由于消费者意识的提高,人们对健康食品的需求不断增长,用天然替代品替代合成着色剂。苋菜是一种可持续丰富的天然色素,即甜菜碱的来源。传统的提取方法存在溶剂要求高、提取率低等问题。为了克服这些问题,本研究旨在开发一种利用天然深共晶溶剂(NADES)超声辅助提取(UAE)苋菜中甜菜素的绿色提取方法。在筛选的3种苋菜中,叶苋菜的甜菜碱含量最高(24.79±2.88 mg/100 g FW)。在筛选的5种NADES中,乳酸:果糖是最有效的溶剂,甜菜素的产率为79.68±4.81 mg/100 g FW。采用Box-Behnken设计(BBD)确定提取工艺参数的最佳组合。这种方法通过减少实验次数实现了优化。随后,采用机器学习模型来预测所有可能的工艺参数组合的成品率。在确定最高收率(306.72 mg/100 g FW)的最有效组合工艺参数上,实验验证了相同的结果(297.28±10.76 mg/100 g FW)。阿联酋采用NADES后,甜菜素的提取率比单独使用NADES提高了3.7倍,比常规提取提高了12倍。HPLC分析证实,即使经过加工,其结构仍保持完整。基于这些结果,采用NADES的阿联酋被证明是一种有吸引力的提取方法,特别是对甜菜碱和生物分子的下游加工。
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来源期刊
Plant Foods for Human Nutrition
Plant Foods for Human Nutrition 工程技术-食品科技
CiteScore
6.80
自引率
7.50%
发文量
89
审稿时长
12-24 weeks
期刊介绍: Plant Foods for Human Nutrition (previously Qualitas Plantarum) is an international journal that publishes reports of original research and critical reviews concerned with the improvement and evaluation of the nutritional quality of plant foods for humans, as they are influenced by: - Biotechnology (all fields, including molecular biology and genetic engineering) - Food science and technology - Functional, nutraceutical or pharma foods - Other nutrients and non-nutrients inherent in plant foods
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