摘要
【目的】明确消费者对‘富士’苹果果实品质偏好和客观质量指标与消费者主观感官评价的关系,建立消费者主观评价预测模型。【方法】以全国53个主要苹果生产县的‘富士’苹果样品为材料,组织5个不同年龄段的消费者进行了果实外观品质、内在品质和风味品质及感官综合品质的主观评分,同时测定了各样品的8个客观品质指标,应用偏最小二乘法回归分析确定了影响消费者对果实品质主观感官评价结果的客观品质指标及其权重。【结果】多元回归的共线性诊断表明消费者主观综合评价得分与多个果实客观品质指标之间存在复共线性,需要采用复共线性回归方法进行分析。应用偏最小二乘法回归分析表明,‘富士’苹果的着色面积、可溶性固形物含量、固酸比、果实大小和果实硬度等对消费者主观综合评价有正的效应权重和载荷;而果实水分含量、可滴定酸等对消费者主观综合评价结果有负效应权重和载荷。‘富士’苹果外观、内在和风味品质对消费者主观综合评价的权重分别为30.04%、27.42%和42.52%,进一步以‘富士’苹果客观品质指标值为因变量,以消费者感官主观评价得分值为依变量,建立了消费者主观评价模型。【结论】研究结果对于探明消费者对‘富士’苹果品质的偏好、比较评价不同产地苹果主观品质、指导不同产地针对性提高‘富士’果品质量及辅助筛选‘富士’苹果品种优势生态区域等具有重要意义。
[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＇ sub jective scores and the objective quality indicators, a multiple co-linearity diagnosis between the consum ers＇ subjective scores and the objective quality indicators were carried out. Results showed that multiple eo-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 （X,）, SSC： TA ratio （Xs） 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 （X
出处
《果树学报》
CAS
CSCD
北大核心
2017年第10期1316-1322,共7页
Journal of Fruit Science
基金
林业公益性行业科研专项(201404720)
国家科技支撑课题(2014BAD16B02-3)
北京市科委重大项目(D131100000113001)
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
Apple
Quality evaluation
Consumer subjective sensorial evaluation
Evaluation model
Partial least square regression
