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影响消费者对‘富士’苹果品质主观评价的因素分析及评价模型建立

张军科 李兴亮 李民吉 周贝贝 张强 魏钦平

果树学报2017,Vol.34Issue(10):1316-1322,7.
果树学报2017,Vol.34Issue(10):1316-1322,7.DOI:10.13925/j.cnki.gsxb.20170013

影响消费者对‘富士’苹果品质主观评价的因素分析及评价模型建立

Factors involved in the consumer's sensorial evaluation of fruit quality and the construction of the subjective evaluation models of the ‘Fuji’ apple

张军科 1李兴亮 1李民吉 1周贝贝 1张强 1魏钦平1

作者信息

  • 1. 北京市林业果树科学研究院·农业部华北地区园艺作物生物学与种质创制重点实验室·北京市落叶果树工程技术研究中心,北京100093
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摘要

Abstract

[Objective] To work out the consumer's preference on the fruit quality,the relationship between the subjective quality indicators and objective sensorial scores,and to set up an exact prediction model of the consumer's sensorial evaluation of fruit quality scoring based on the quality indicators.[Methods] The ‘Fuji’ apple fruit harvested from 53 national major producing counties were collected,their subjective fruit quality concerning the appearance,internal flavor quality and integrated sensorial quality were assessed by randomly picking 50 consumers of deferent ages ranging from 20-60 years old.Meanwhile,eight objective quality indicators were measured.Their correlation between the subjective sensorial integrated evaluation scores and the objective indicators were analyzed by the partial least square regression method (PLSR).The effect of the fruit objective indicators X1-X8 and their weights on the subjective evaluation scores Y1-Y4 were estimated.[Results] To find out the correlation of the consumers’ subjective scores and the objective quality indicators,a multiple co-linearity diagnosis between the consumers’ subjective scores and the objective quality indicators were carried out.Results showed that multiple co-linearity existed between the eight objective indicators,further multiple co-linearity regression analysis were necessary to determine their relationship regression analysis.Partial least squares regression,one of the most newly developed multiple co-linearity regression analysis techniques,showed that single fruit mass (X1),coloration coverage (X3),fruit firmness (X4),SSC:TA ratio (X8) and SSC (X6) contributed to the consumers’ subjective score with positive loading weight and factors,while the fruit index (X2),water content (X5) and titratable acids (X7) contributed to the consumers’ subjective score with negative loading weight and factors.Among the eight indicators,the coloration coverage (X3) and SSC (X6) harboring bigger positive loading weight and factors and titratable acids (X7) poses bigger negative loading weight and factors,which implied that consumers preferred fruit with larger coloration coverage and high SSC but disliked the fruit with high titratable acids content.The relationship between the consumers’ subjective scores and three different categories of consumers’ sensorial quality scores including fruit appearance quality,internal quality and flavor quality were analyzed.The results showed that fruit appearance quality,internal quality and flavor quality contributed 30.04%,27.42% and 42.52% for the consumers’ subjective integrated sensorial scores,respectively.This implied that consumers’ paid more attention on flavor quality than appearance quality and internal quality.This is the first quantitative description of effects of different quality categories on the consumers’ subjective evaluations.With the objective fruit quality indicators as independent variables (X1-X8) and the consumer’ s subjective evaluation score as dependent variables ((Y)),a universal model for predicting the general consumer’ s subjective integrated evaluation score was constructed.The equation is as follows:(Y)=95.711 2+ 0.0155X1-6.525 4X2+ 0.099 6X3+ 0.428 1X4-0.595 3X5+ 0.987 6X6-4.992 2X7+ 0.049 6Xs (in which the X1,mean fruit weight;X2,fruit shape index;X3,colored area;X4,fruit firmness;X5,water content;X6,soluble solid content;X7,titratable acid content;X8,SSC:TA ratio;and (Y),predicted consumer’ s scores).The correlation analysis of the consumers’ scores and the predicted consumers’ scores showed a good linear distribution validating the usability of the predicting equation.[Conclusion] The result presented the consumers sensorial preference of the ‘Fuji’ apple objective quality indicators and a predicting model for consumers sensorial score based on the quality indicators were established,which will provide an important understanding and platform for fruit subjective quality comparisons,cultivation method evaluations and even optima cultivation region selections.

关键词

苹果/品质评价/消费者感官评价/评价模型/偏最小二乘法回归分析

Key words

Apple/Quality evaluation/Consumer subjective sensorial evaluation/Evaluation model/Partial least square regression

分类

农业科技

引用本文复制引用

张军科,李兴亮,李民吉,周贝贝,张强,魏钦平..影响消费者对‘富士’苹果品质主观评价的因素分析及评价模型建立[J].果树学报,2017,34(10):1316-1322,7.

基金项目

林业公益性行业科研专项(201404720) (201404720)

国家科技支撑课题(2014BAD16802-3) (2014BAD16802-3)

北京市科委重大项目(D131100000113001) (D131100000113001)

果树学报

OA北大核心CSCDCSTPCD

1009-9980

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