Sucrose detection and discrimination estimated by the analysis of psychometric functions with linear and non-linear models

罗伊特 数学 统计 Probit模型 标准误差 检测阈值 线性回归 拟合优度 蔗糖 普罗比特 有序概率单位 化学 食品科学 计算机科学 实时计算
作者
Raul Chacon-Blanco,E. Juarez-Enriquez,Guadalupe I. Olivas,Juan E. Jiménez,D.R. Sepúlveda
出处
期刊:International Journal of Food Sciences and Nutrition [Taylor & Francis]
卷期号:73 (3): 407-414
标识
DOI:10.1080/09637486.2021.1984402
摘要

Sucrose detection and discrimination thresholds were determined by conducting two alternative forced-choice tests with aqueous solutions. The standard models probit and logit, and non-linear were fitted to the empirical psychometric functions. 0, 7 and 15 g/L sucrose solutions were used as standard stimuli in the detection and discrimination experiments (two levels) respectively. Comparison stimuli consisted of aqueous sucrose solutions with concentrations from 0.5 to 25 g/L. Observed absolute threshold was around 2.96 g/L and the difference limen for 7 and 15 g/L standard stimuli was around 2.98 g/L and 5.29 g/L, respectively. Calculated Weber fractions for 7 and 15 g/L standard stimuli were 0.42 and 0.35, respectively. Judges' performance in the discrimination experiment was similar to that observed in the detection experiment. Goodness of fit for probit and logit models was similar. The non-linear model showed a lower average error and demonstrated an excellent predictive ability.

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