中国稻米 ›› 2022, Vol. 28 ›› Issue (4): 44-49.DOI: 10.3969/j.issn.1006-8082.2022.04.010

• 专论与研究 • 上一篇    下一篇

不同粒型吉林粳稻食味品质及质构特性比较分析

刘姣1,2(), 王婧1,2, 李妍依1, 丁华1,2, 张珣1,2, 周有祥1,2, 杨洁1,2,*()   

  1. 1湖北省农业科学院 农业质量标准与检测技术研究所,武汉 430064
    2湖北省农产品营养质量安全重点实验室,武汉 430064
  • 收稿日期:2022-03-12 出版日期:2022-07-20 发布日期:2022-07-21
  • 通讯作者: 杨洁
  • 作者简介:BABOjiao@126.com
  • 基金资助:
    国家重点研发计划项目(2017YFD0100305);国家重点研发计划项目(2017YFD0100406);湖北省农业科技创新中心项目(2020-620-001-03);湖北省农业科学院青年基金(2021NKYJJ15)

Comparison Analysis of Taste Quality and Texture Characteristic of Japonica Rice with Different Grain Shape from Jilin Province

LIU Jiao1,2(), WANG Jing1,2, LI Yanyi1, DING Hua1,2, ZHANG Xun1,2, ZHOU Youxiang1,2, YANG Jie1,2,*()   

  1. 1Institute of Quality Standard and Testing Technology for Agro-Products, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
    2Hubei Key Laboratory of Nutritional Quality and Safety of Agro-Products, Wuhan 430064, China
  • Received:2022-03-12 Online:2022-07-20 Published:2022-07-21
  • Contact: YANG Jie

摘要:

为探究粒形对粳稻食味品质及质构特性的影响,以22个不同粒形品种粳稻稻米为对象,分析其理化特性、食味品质和质构特性差异。结果表明,参试粳稻稻米理化性质相似,但食味品质和质构特性差异较大,吉粳830食味品质最佳,滢科101食味品质最差;粒宽与米饭硬度呈显著正相关(p<0.05),与黏度、黏硬比和食味值呈显著负相关(p<0.05),与黏性呈极显著负相关(p<0.01);长宽比与米饭黏度和黏性呈显著正相关(p<0.05)。主成分分析(判别率为80.5%)和正交偏最小二乘判别分析(拟合能力R2X=0.759,预测能力Q2=0.698)可有效将食味品质较好的稻米样本归为一类,黏硬比可作为判别优质食用稻米的有效参数。本研究结果可为基于稻米粒形建立稻米食用特性的快速评价方法提供参考。

关键词: 粳稻, 粒形, 食味品质, 质构特性, 多元统计分析

Abstract:

In order to investigate the effects of rice grain shape on the taste quality and texture characteristics of japonica rice, 22 japonica rice varieties with different grain types were used as the objects to analyze the differences in the physicochemical properties, taste quality and texture characteristics. The results showed that the physicochemical properties of the tested japonica rice varieties were similar, but the taste quality and texture characteristics were quite different. Jigeng 803 had the best taste quality, while Yingke101 exhibited the worst taste quality. Rice grain width was positively correlated to rice hardness (p<0.05), but was very negatively correlated to rice stickiness (p<0.01) and was negatively correlated to adhesiveness, stickiness and hardness ratio, and taste score (p<0.05). Rice length-width ratio had a positive relationship to rice stickiness and adhesiveness (p<0.05). Moreover, principal component analysis (PCA, 80.5% discrimination about two components) and orthogonal partial least square discriminate analysis (OPLS-DA, fit ability R2X=0.759 and predict ability Q2=0.698) models showed a high interpretability and predictive capability, which can effectively classify rice samples with better eating quality into one category, and the stickiness and hardness ratio can be used as an effective parameter to discriminate high-quality edible rice. This study results could provide reference for constructing a fast evaluation method for rice edible characteristic based on rice grain shape.

Key words: japonica rice, grain shape, taste quality, texture characteristic, multivariate statistical analysis

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