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Chinese Agricultural Science Bulletin ›› 2021, Vol. 37 ›› Issue (28): 128-135.doi: 10.11924/j.issn.1000-6850.casb2021-0196

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Drying Standard and Rapid Detection Technology of Green Raisin Based on Texture and Sensory Evaluation Method

Zhang Wen1(), Han Shou’an1, Wang Min1, 2, AIermaike· Caikasim1, Zhong Haixia1, Wang Huan3, Pan Mingqi1, Xie Hui1()   

  1. 1Research Institute of Horticulture, Xinjiang Academy of Agricultural Sciences, Urumqi 830091
    2Tashkent State Agrarian University, Tashkent 100140, Uzbekistan
    3Department of Biological Sciences, College of Science and Technology, Xinjiang Agricultural University, Urumqi 830052
  • Received:2021-03-02 Revised:2021-08-23 Online:2021-10-05 Published:2021-10-28
  • Contact: Xie Hui E-mail:zwxilin@126.com;xhxjnky@163.com

Abstract:

The high economic value of green raisins is an important support to maintain the dominant position of Xinjiang grape industry. The moisture content of raisins has a great influence on the color, nutritional quality, texture characteristics, and sensory taste experience of raisins, but there are few related studies. In this study, the correlation analysis was carried out on the quality, texture characteristics and sensory tasting results of raisins with different moisture contents, to apply the quantitative texture determination technology to the production of raisins. The results showed that the color of raisins with different moisture contents had certain differences, of which the difference in green color was the most significant. The texture characteristics of raisins showed a good linear upward or downward trend in the range of 11.9%-19.2% moisture content. The sensory taste results of raisins with different moisture contents were quite different in different populations. Raisins with high moisture content had higher sensory scores in different age groups. According to the sensory evaluation results and the comprehensive evaluation of storage characteristics of raisins, the moisture content of raisins in production should be controlled at 14%-17%. Fitting the moisture content and texture index of raisins, the relative error between the predicted value and the measured value was small, the relative error of elasticity was the minimum of 2.91%, and the relative error of adhesion was the maximum of 13.33%. The hardness prediction values of 14%-17% raisin moisture content were 1349.86, 1191.75, 1033.64, 875.53g respectively. Using hardness as an index, this paper explored the rapid calculation of moisture content, elasticity, chewiness and other indexes of raisins. The fitting degree was high. The fitting equation between hardness and moisture content was y=(-0.00006x+0.2191)×100, and R2 value was 0.9171. To sum up, the color quality of raisins with different moisture contents was quite different. Different groups of people preferred to raisins with higher moisture content. It is feasible to quickly calculate the moisture content and other texture characteristics of raisins by using hardness value. The research results can provide data support and a theoretical basis for standardized production of green raisins.

Key words: green raisins, moisture content, textural characteristics, sensory evaluation, correlation analysis

CLC Number: