Optimization of ultrasonic-assisted extraction of soluble dietary fiber (β-glucan) from different barley varieties and study of its characterization and functional attributes

IF 3.5 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Nomeena Anis, Zaheer Ahmed, Nauman Khalid
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Abstract

Green technology, encompassing sustainable practices in food production, extends to dietary fiber extraction. This study aimed to enhance dietary fiber extraction from the selected barley varieties (Jou-17, Sultan-17, and Pearl-21) using the ultrasonic-assisted extraction (UAE) technique. This process involved washing, drying, de-fatting (using ethanol as green solvent), and protein removal steps. The response surface methodology (RSM) technique was used to optimize the yield of soluble dietary fiber (SDF; β-glucan) with time, temperature, and power. Optimal conditions yielded the highest SDF (5.21%) in all selected varieties after 17.5 min at 41.70°C with 130.5 W. FTIR pattern confirmed the functional group in the tested sample. TGA and DSC spectra determined the thermal of SDF (β-glucan). Monosaccharide composition confirmed that SDF (β-glucan) is glucose in nature. Proximate analysis indicated that Jou-17 had the highest moisture (13.4%) and crude fiber (10.10%) content. Sultan-17, on the other hand, had the maximum levels of ash (2.75%), crude fat (1.22%), and protein (8.84%). The NFE, water-holding capacity, oil-holding capacity, and foaming capacity of extracted SDF (β-glucan) in the “Pearl-21” barley variety were determined to be 78.37%, 14.07 g/g, 6.99 g/g, and 126.17%, whereas highest foaming-stability (96.26%) was observed in Jou-17 variety. PCA also confirmed the association in studied variables. In a nutshell, optimizing the extraction of SDF (β-glucan) from the selected barley varieties using green technology and its favorable properties opens up promising paths for future endeavors and contributes to the advancement of sustainable and health-conscious practices in the food industry.

Abstract Image

不同大麦品种中可溶性膳食纤维(β-葡聚糖)的超声波辅助提取优化及其表征和功能特性研究
绿色技术包括食品生产中的可持续做法,也包括膳食纤维提取。本研究旨在利用超声波辅助提取(UAE)技术提高所选大麦品种(Jou-17、Sultan-17 和 Pearl-21)的膳食纤维提取率。该过程包括清洗、干燥、脱脂(使用乙醇作为绿色溶剂)和去除蛋白质等步骤。采用响应面方法(RSM)技术对可溶性膳食纤维(SDF;β-葡聚糖)的产量与时间、温度和功率进行了优化。在最佳条件下,温度为 41.70°C,功率为 130.5 W,17.5 分钟后,所有选定品种的 SDF 产量最高(5.21%)。傅立叶变换红外光谱图证实了测试样品中的官能团。TGA 和 DSC 光谱测定了 SDF(β-葡聚糖)的热量。单糖成分证实 SDF(β-葡聚糖)的性质为葡萄糖。近似分析表明,Jou-17 的水分(13.4%)和粗纤维(10.10%)含量最高。而苏丹-17 的灰分(2.75%)、粗脂肪(1.22%)和蛋白质(8.84%)含量最高。经测定,"珍珠-21 "大麦品种提取的 SDF(β-葡聚糖)的 NFE、持水性、持油性和发泡性分别为 78.37%、14.07 g/g、6.99 g/g 和 126.17%,而 "朱-17 "品种的发泡稳定性最高(96.26%)。PCA 也证实了研究变量之间的关联。总之,利用绿色技术从选定的大麦品种中优化提取 SDF(β-葡聚糖)及其有利特性,为未来的努力开辟了前景广阔的道路,并有助于在食品工业中推进可持续发展和注重健康的做法。
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来源期刊
Food Science & Nutrition
Food Science & Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
7.40
自引率
5.10%
发文量
434
审稿时长
24 weeks
期刊介绍: Food Science & Nutrition is the peer-reviewed journal for rapid dissemination of research in all areas of food science and nutrition. The Journal will consider submissions of quality papers describing the results of fundamental and applied research related to all aspects of human food and nutrition, as well as interdisciplinary research that spans these two fields.
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