Enhancing the potential of brewer's spent grain utilization in human nutrition through pulsed electric field-assisted protein extraction

IF 6.8 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Eya Rouissi , Mélanie Faucher , Sylvie L. Turgeon , Rozenn Ravallec , Sergey Mikhaylin
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Abstract

Brewer's spent grain (BSG), the main by-product of beer production, represent a promising source of proteins suitable for human nutrition, aligning with global efforts to reduce food industry waste and support a sustainable economy. However, given the complexity and heterogeneity of the matrix, protein extraction is challenging. The present study proposes to evaluate the impact of BSG pretreatment with pulsed electric fields (PEF) on protein extraction and functional properties of protein extracts at different pH values (3, 5, and 7). The protein extraction yield with the best PEF pretreatment condition of 120 pulses (71.4 %) was not significantly improved compared to unpretreated extraction (74.0 %). However, extracts pretreated with PEF demonstrated structural differences compared to conventional ones. Those differences led to significant improvements in functional properties. Indeed, protein solubility was improved by up to 81 %, and the foaming capacity and stability were increased by 104 % and 21 %, respectively, compared to the control extract. PEF pretreatments also showed an improvement in water-holding capacity (up to 11.5 g/g) compared to unpretreated extract (3.9 g/g), which confirms their potential for uses in food formulations.
通过脉冲电场辅助蛋白质提取提高啤酒废粮在人类营养中的利用潜力
啤酒生产的主要副产品——啤酒公司的废谷物(BSG)代表了一种有希望的蛋白质来源,适合人类营养,与全球减少食品工业浪费和支持可持续经济的努力保持一致。然而,考虑到基质的复杂性和异质性,蛋白质的提取是具有挑战性的。本研究拟评价脉冲电场(PEF)预处理BSG对不同pH值(3、5和7)下蛋白质提取物的提取和功能特性的影响。最佳PEF预处理条件为120脉冲时,蛋白提取率(71.4%)较未预处理的提取率(74.0%)无显著提高。然而,经PEF预处理的提取物与常规提取物相比,在结构上存在差异。这些差异导致了功能特性的显著改善。事实上,与对照提取物相比,蛋白质溶解度提高了81%,发泡能力和稳定性分别提高了104%和21%。与未经预处理的提取物(3.9 g/g)相比,PEF预处理还显示出保水能力(高达11.5 g/g)的改善,这证实了它们在食品配方中的潜在用途。
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来源期刊
CiteScore
12.00
自引率
6.10%
发文量
259
审稿时长
25 days
期刊介绍: Innovative Food Science and Emerging Technologies (IFSET) aims to provide the highest quality original contributions and few, mainly upon invitation, reviews on and highly innovative developments in food science and emerging food process technologies. The significance of the results either for the science community or for industrial R&D groups must be specified. Papers submitted must be of highest scientific quality and only those advancing current scientific knowledge and understanding or with technical relevance will be considered.
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