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优化反应条件以改善湿热处理玉米淀粉的营养特性。

Optimization of reaction conditions for improving nutritional properties in heat moisture treated maize starch.

作者信息

Ye Xiaoting, Lu Fei, Yao Tianming, Gan Renyou, Sui Zhongquan

机构信息

State Key Laboratory of Dairy Biotechnology, Technology Center of Bright Dairy & Food Co., Ltd., 1518 Jiangchang Road, Shanghai 200436, China; Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.

Department of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Int J Biol Macromol. 2016 Dec;93(Pt A):34-40. doi: 10.1016/j.ijbiomac.2016.08.057. Epub 2016 Aug 23.

Abstract

Impact of heat-moisture treatment (HMT) on nutritional properties of normal maize starch (NMS) under various reaction conditions was investigated. NMS was adjusted to moisture levels of 20%, 25%, 30% and 35% and heated at 80, 100, 120 and 140°C for 4, 8, 12 and 16h. Response surface methodology (RSM) based on Box-Behnken design (BBD) was employed to obtain the optimal combination of moisture level (X: 20-30%), length of heating (X: 4-12h), and temperature (X: 100-140°C). The optimum reaction condition decreased rapidly digestible starch (RDS) from 87.10% to 82.21%, when NMS was subjected to HMT at 23.6% moisture content and heated at 114.8°C for 9.04h. The ANOVA measurement and confirmation experiments were performed to verify the predictive value and the RSM model, indicating that temperature was the main factor to determine the digestion rate of HMT NMS. The results suggested that RDS was not correlated to heating length but positively correlated to temperature and moisture content. Reaction condition had no correlations with slowly digestible starch (SDS) and resistant starch (RS). This study could provide more information for producing low-glycemic index products.

摘要

研究了湿热处理(HMT)在不同反应条件下对正常玉米淀粉(NMS)营养特性的影响。将NMS的水分含量调整为20%、25%、30%和35%,并在80、100、120和140°C下加热4、8、12和16小时。采用基于Box-Behnken设计(BBD)的响应面法(RSM)来获得水分含量(X:20 - 30%)、加热时间(X:4 - 12小时)和温度(X:100 - 140°C)的最佳组合。当NMS在水分含量为23.6%、114.8°C下加热9.04小时进行湿热处理时,最佳反应条件使快速消化淀粉(RDS)从87.10%迅速降至82.21%。进行了方差分析测量和验证实验以验证预测值和RSM模型,结果表明温度是决定湿热处理NMS消化率的主要因素。结果表明,RDS与加热时间无关,但与温度和水分含量呈正相关。反应条件与缓慢消化淀粉(SDS)和抗性淀粉(RS)无关。该研究可为生产低血糖指数产品提供更多信息。

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