中国农业科学 ›› 2019, Vol. 52 ›› Issue (12): 2151-2160.doi: 10.3864/j.issn.0578-1752.2019.12.012

• 食品科学与工程 • 上一篇    下一篇

中国冻梨加工品质评价体系构建

王阳,贾晓辉,王文辉(),佟伟,王志华,杜艳民   

  1. 中国农业科学院果树研究所,辽宁兴城 125100
  • 收稿日期:2019-10-31 接受日期:2019-02-27 出版日期:2019-06-16 发布日期:2019-06-22
  • 通讯作者: 王文辉
  • 作者简介:王阳,Tel:0429-3598655;E-mail: wangyang@caas.cn。
  • 基金资助:
    国家现代农业产业技术体系建设专项(CARS-29-19);中国农业科学院科技创新工程(CAAS-ASTIP-2015-RIP-06)

Quality Evaluation System Established for Pear Processed by Freezing in China

WANG Yang,JIA XiaoHui,WANG WenHui(),TONG Wei,WANG ZhiHua,DU YanMin   

  1. Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, Liaoning
  • Received:2019-10-31 Accepted:2019-02-27 Online:2019-06-16 Published:2019-06-22
  • Contact: WenHui WANG

摘要:

【目的】 对56个冻梨品种的18项冻梨品质指标进行测定,构建冻梨的品质评价体系。【方法】 通过主成分分析筛选核心指标,采用频数分布对核心指标进行分级,在此基础上运用层次分析法确定品质评价指标权重以及评分标准,最后采用K类中心聚类分析和判别分析建立冻梨品质判别函数。【结果】 不同冻梨各品种间品质离散程度有差异,变异系数在9.97%—360.37%;通过主成分分析筛选出可溶性固形物含量(TSS)、可滴定酸含量(TA)、固酸比(TSS/TA)、果皮L *值、果皮C *值、果肉h值、石细胞含量7项指标为冻梨品质评价核心指标;综合考虑7项指标对冻梨品质的影响程度并进行分级,通过层次分析法确定7项指标的权重系数分别为0.1176、0.0477、0.2900、0.0166、0.0498、0.1101、0.3683,由此建立冻梨评分标准;确定了冻梨品质判别函数,建模样本和检验样本正确判别率分别达到97.37%和100%,说明该判别函数具有极高的准确性,适用于冻梨品质的定性判别。 【结论】 不同冻梨品种品质可用TSS、TA含量、TSS/TA、果皮L *值、果皮C *值、果肉h值、石细胞含量7项指标进行综合评价,其中以红南果梨、尖把梨、南果梨、软儿梨、砂糖梨、秋白梨、黄麻槎冻梨品质为优,可作为冻梨的优选品种。

关键词: 冻梨品质, 评价体系, 主成分分析, 层次分析, 判别函数

Abstract:

【Objective】 The aim of this study was to establish a scientific evaluation system capable of assessing frozen pear quality. Eighteen parameters of frozen pear quality were determined. 【Method】 Evaluation indices of frozen pear quality were screened by principal component analysis and graded by frequency distribution, and their weight and scoring standard were decided by using an analytic hierarchy process. Discrimination functions were established for frozen pear quality by K-means cluster and discriminant analysis. 【Result】 The results showed that parameters of frozen pear quality dispersed with the coefficient of variation from 9.97% to 360.37%. From the 19 parameters, 7 parameters were chosen to evaluate frozen pear quality, including total soluble solid (TSS), titratable acidity (TA), TSS/TA, peel L *, peel C *, flesh h and stone cell content. The grading standard and the scoring standard of the 7 parameters were established, and five discrimination functions were developed to determine frozen pear quality, which had satisfactory recognition accuracy up to 97.37% (modeling samples) and 100% (test samples). The discrimination functions were very effective in discriminating frozen pear quality. 【Conclusion】The quality of different frozen pear varieties could be comprehensively evaluated using 7 parameters: TSS, TA, TSS/TA, peel L *, peel C *, flesh h and stone cell content. The results of this study indicated that Hongnanguo, Jianbali, Nanguoli, Ranerli, Shatangli, Qiubaili and Huangmacha were the most suitable cultivars to undergo frozen processing.

Key words: frozen pear quality, evaluation system, principal component analysis, analytic hierarchy process, discriminant analysis