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一种添加了发芽小麦和草本植物提取物的韩国谷物即饮型饮料的特性。

Characteristics of , a Cereal-Based Ready-to-Drink Korean Beverage, with Added Germinated Wheat and Herbal Plant Extract.

作者信息

Kim Bo Ram, Park Seung Soo, Youn Geum-Joung, Kwak Yeon Ju, Kim Mi Jeong

机构信息

Interdisciplinary Program in Senior Human Ecology, Changwon National University, Changwon 51140, Korea.

Research Institute of GH Biofarm, Agricultural Corporation Gagopa Healing Food, 177, Samgye-ro, Naeseo-eup, Masanhoewon-gu, Changwon 51219, Korea.

出版信息

Foods. 2020 Nov 12;9(11):1654. doi: 10.3390/foods9111654.

DOI:10.3390/foods9111654
PMID:33198231
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7696171/
Abstract

The purpose of this study was to develop a formulation of with improved health benefits by adding germinated wheat (GW) and herbal plant extract (HPE) using a response surface methodology (RSM). The central composite experimental design (CCD) was used to evaluate the effects of with added HPE (2-4%) and GW (10-20%) on total phenolic content (TPC), total flavonoid content (TFC), Trolox equivalent antioxidant capacity (TEAC), 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging capacity, gamma butyric acid (GABA) content, total color changes (△E), browning index (BI), water absorption index (WAI), and water solubility index (WSI). As a result of the CCD, the independent and dependent variables were fitted by the second-order polynomial equation, and the lack of fit for response surface models was not significant except in relation to WSI. The GABA content, TPC, and TEAC were more adequate for a linear model than for a quadratic model, and they might be affected by GW rather than HPE. Alternatively, the TFC, DPPH radical scavenging capacity, WAI, WSI, △E, and BI were fitted with quadratic models. The optimum formulation that could improve antioxidant and physicochemical properties was with 3.5% and 20% added HPE and GW, respectively.

摘要

本研究的目的是采用响应面法(RSM),通过添加发芽小麦(GW)和草本植物提取物(HPE)来开发一种具有更高健康益处的配方。采用中心复合实验设计(CCD)来评估添加2 - 4% HPE和10 - 20% GW对总酚含量(TPC)、总黄酮含量(TFC)、Trolox当量抗氧化能力(TEAC)、2,2 - 二苯基 - 1 - 苦基肼(DPPH)自由基清除能力、γ - 氨基丁酸(GABA)含量、总颜色变化(△E)、褐变指数(BI)、吸水指数(WAI)和水溶性指数(WSI)的影响。作为CCD的结果,自变量和因变量通过二阶多项式方程拟合,除了WSI外,响应面模型的失拟不显著。GABA含量、TPC和TEAC对线性模型的拟合比对二次模型更合适,它们可能受GW而非HPE的影响。另外,TFC、DPPH自由基清除能力、WAI、WSI、△E和BI用二次模型拟合。能改善抗氧化和物理化学性质的最佳配方分别是添加3.5% HPE和20% GW的配方。

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