Comparative Evaluation and Analysis of Cooking and Eating Quality of Different Foxtail Millet Varieties

被引:6
|
作者
Zhang F. [1 ]
Li S. [2 ]
Wang X. [2 ]
Shen Q. [1 ]
机构
[1] National Engineering Research Center for Fruits and Vegetables Processing, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing
[2] Research Institute of Millet, Chifeng Academy of Agriculture and Animal Science, Chifeng
来源
Shipin Kexue/Food Science | 2020年 / 41卷 / 09期
关键词
Cooking and eating quality; Electronic tongue; Foxtail millet; Fuzzy sensory evaluation;
D O I
10.7506/spkx1002-6630-20190408-097
中图分类号
学科分类号
摘要
In order to better evaluate the eating quality of 10 foxtail millet varieties, fuzzy sensory evaluation and an electronic tongue were used to analyze the eating quality of foxtail millet, and the correlation between the physicochemical characteristics and cooking quality of foxtail millet was studied. Results showed that ‘Zhonggu 2’, ‘Huangjingu’ and ‘Fenghonggu’ had the best eating quality, whereas ‘Chigu 6, 8 and 17’ and ‘Hongmiao Yapoche’ exhibited the worst eating quality. Consistent with the sensory evaluation, the electronic tongue could distinguish and classify millet porridge with different taste levels by discriminant factor analysis (DFA). A prediction model for sensory evaluation of millet porridge was established by partial least squares regression (PLSR) analysis, with a correlation coefficient up to 0.91. The water absorption rate, expansion rate, consistency value and b* value of ‘Zhonggu 2’ were remarkably high. In contrast, ‘Chigu 6, 8 and 17’ and ‘Hongmiao Yapoche’ showed a faint gray color, and had low consistency value and total solid content. The eating quality of millet porridge was negatively correlated with the protein content (P < 0.01), as well as grain diameter, hardness and 1 000-grain mass. © 2020, China Food Publishing Company. All right reserved.
引用
收藏
页码:23 / 29
页数:6
相关论文
共 32 条
  • [1] 2
  • [2] 13, pp. 41-43
  • [3] BASAK S., The use of fuzzy logic to determine the concentration of betel leaf essential oil and its potency as a juice preservative, Food Chemistry, 240, pp. 1113-1120, (2018)
  • [4] MUKHOPADHYAY S, MAJUMDAR G C, GOSWAMI T K, Et al., Fuzzy logic (similarity analysis) approach for sensory evaluation of chhana podo, LWT-Food Science and Technology, 53, 1, pp. 204-210, (2013)
  • [5] SWARNAKAR A K, SRIVASTAV P P, DAS S K., Optimization of preconditioning process of pressure parboiled brown rice (unpolished)for microwave puffing and its comparison with hot sand bed puffing, Journal of Food Process Engineering, 42, (2019)
  • [6] KOBAYASHI F, NARAHARA Y, OHMORI K, Et al., Effects of storage with a deoxygenating agent and a nitrogen-atmosphere package on the quality, especially flavor, of cooked stored rice, Food Science and Technology Research, 16, 2, pp. 175-178, (2010)
  • [7] pp. 3-5, (2012)
  • [8] 30, pp. 56-57, (2016)
  • [9] 10, pp. 22-26
  • [10] FENG Lei, ZHANG Min, BHANDARI B, Et al., Determination of postharvest quality of cucumbers using nuclear magnetic resonance and electronic nose combined with chemometric methods, Food and Bioprocess Technology, 11, 12, pp. 2142-2152, (2018)