Suppr超能文献

不同大麦品种中可溶性膳食纤维(β-葡聚糖)的超声辅助提取优化及其特性与功能属性研究

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

作者信息

Anis Nomeena, Ahmed Zaheer, Khalid Nauman

机构信息

Department of Nutritional Sciences & Environmental Design Allama Iqbal Open University (AIOU) Islamabad Pakistan.

Department of Food Science and Technology, School of Food and Agricultural Sciences University of Management and Technology Lahore Pakistan.

出版信息

Food Sci Nutr. 2024 Sep 4;12(10):8394-8407. doi: 10.1002/fsn3.4421. eCollection 2024 Oct.

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.

摘要

绿色技术涵盖食品生产中的可持续做法,也延伸至膳食纤维提取领域。本研究旨在采用超声辅助提取(UAE)技术,提高从选定大麦品种(Jou - 17、Sultan - 17和Pearl - 21)中提取膳食纤维的效率。该过程包括清洗、干燥、脱脂(使用乙醇作为绿色溶剂)以及去除蛋白质的步骤。采用响应面法(RSM)技术,以时间、温度和功率为变量,优化可溶性膳食纤维(SDF;β - 葡聚糖)的产量。在41.70°C、130.5 W功率下处理17.5分钟后,所有选定品种均获得了最高的SDF产量(5.21%)。傅里叶变换红外光谱(FTIR)图谱证实了测试样品中的官能团。热重分析(TGA)和差示扫描量热法(DSC)光谱测定了SDF(β - 葡聚糖)的热性能。单糖组成证实SDF(β - 葡聚糖)本质上是葡萄糖。近似分析表明,Jou - 17的水分含量最高(13.4%),粗纤维含量最高(10.10%)。另一方面,Sultan - 17的灰分(2.75%)、粗脂肪(1.22%)和蛋白质含量(8.84%)最高。测定了“Pearl - 21”大麦品种中提取的SDF(β - 葡聚糖)的无氮浸出物、持水能力、持油能力和发泡能力,分别为78.37%、14.07 g/g、6.99 g/g和126.17%,而在Jou - 17品种中观察到最高的发泡稳定性(96.26%)。主成分分析(PCA)也证实了所研究变量之间的关联。简而言之,利用绿色技术优化从选定大麦品种中提取SDF(β - 葡聚糖)及其良好性能,为未来的努力开辟了充满希望的道路,并有助于推动食品行业可持续和注重健康做法的发展。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验