不同品种小麦粉的粉质特性对速冻熟制面条品质的影响

为研究不同品种小麦粉与速冻熟制面条质构特性之间的关系,选取30种小麦制粉,用FOSS定氮仪、快速黏度仪、粉质仪和拉伸仪等测定面粉品质指标,制作速冻熟制面条,用质构仪测定质构特性。采用描述性统计、主成分和聚类分析方法对30种小麦面粉和速冻熟制面条的质构关系进行了分析。结果表明:不同品种小麦粉的湿面筋、糊化温度、弱化度、粉质质量指数与硬度呈极显著相关(P〈0.01);蛋白质、湿面筋、总淀粉含量、最终黏度、回生值、糊化温度、粉质吸水率、粉质曲线稳定时间、面团形成时间、弱化度、粉质质量指数、拉伸曲线面积、拉伸阻力、最大拉伸阻力与剪切力呈极显著相关(P〈0.01);小麦粉的粉质特性,除衰减值、峰值时间和...

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Published in农业工程学报 Vol. 33; no. 3; pp. 307 - 314
Main Author 潘治利 田萍萍 黄忠民 王娜 索标 艾志录
Format Journal Article
LanguageChinese
Published 东北农业大学食品学院,哈尔滨150030%河南农业大学食品科学技术学院,郑州,450002%河南农业大学食品科学技术学院,郑州450002 2017
河南农业大学食品科学技术学院,郑州450002
河南粮食作物协同创新中心,郑州450002
河南省冷链食品工程技术研究中心,郑州450002%河南农业大学食品科学技术学院,郑州450002
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2017.03.042

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Summary:为研究不同品种小麦粉与速冻熟制面条质构特性之间的关系,选取30种小麦制粉,用FOSS定氮仪、快速黏度仪、粉质仪和拉伸仪等测定面粉品质指标,制作速冻熟制面条,用质构仪测定质构特性。采用描述性统计、主成分和聚类分析方法对30种小麦面粉和速冻熟制面条的质构关系进行了分析。结果表明:不同品种小麦粉的湿面筋、糊化温度、弱化度、粉质质量指数与硬度呈极显著相关(P〈0.01);蛋白质、湿面筋、总淀粉含量、最终黏度、回生值、糊化温度、粉质吸水率、粉质曲线稳定时间、面团形成时间、弱化度、粉质质量指数、拉伸曲线面积、拉伸阻力、最大拉伸阻力与剪切力呈极显著相关(P〈0.01);小麦粉的粉质特性,除衰减值、峰值时间和延伸度外,均与拉伸力呈极显著相关(P〈0.01)。根据方差贡献率提取出可以反映原变量84.023%信息的5个因子,因子1主要反映面粉的粉质拉伸特性,因子2反映小麦粉糊化特性,因子3反映蛋白质特性,因子4和因子5共同反映小麦粉的淀粉特性。这些性状在小麦粉的评价方面起着重要作用,在加工中要注重对它们的选择。聚类分析将30种小麦粉分为4类,结果表明,不能仅凭小麦粉的指标数据和质构数据来选择制作速冻熟制面条的原料,还需考虑到感官评价的影响。该结论可为小麦粉在速冻熟制面条加工应用方面提供一定的理论参考。
Bibliography:11-2047/S
principal component analysis; cluster analysis; quality control; wheat variety; flour quality; quick frozen cooked noodle
The purpose of this study was to investigate the relationship between wheat flour quality and texturecharacteristics of frozen cooked noodles for different wheat cultivars. Thirty kinds of winter wheat flours in HenanProvince were collected as the experimental material. The content of protein was studied with the FOSS 2300automatic Kjeldahl apparatus and the rheology properties and RVA indices were also determined. The texture indiceswere measured after the flour was made into frozen cooked noodles. Relationships between the wheat flour variety andthe texture properties of frozen cooked noodles were investigated by descriptive statistics, principal component analysis(PCA) and hierarchical cluster analysis (HCA). The results showed that hardness was very significantly associated with wetgluten, pasting temperature, degree of softening and farinograph quality number (P〈0.01). Firmnes
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2017.03.042