采收咖啡成分对咖啡饮料感官特性影响的评价

C. Martínez, T. I. D. Arístizabal, C. Moreno
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引用次数: 12

摘要

背景:当前精品咖啡市场的蓬勃发展推动了本研究的发展,其基础是收获的咖啡果实是饮料质量的决定因素。目的:本研究的目的是评估收获咖啡(Coffea arabica L.)的成分对卡图拉和哥伦比亚品种咖啡饮料的感官质量的影响。方法:采用咖啡果实M1 (100R)、M2 (80R、13OV、7SR)、M3 (60R、26OV、12SR、2UR)和对照M4的不同百分比组成,以10千克采收咖啡为试验单位,对不同成熟阶段的果实进行不同比例的处理,分别为成熟(R)、过熟(OV)、半熟(SR)和未熟(UR)。实验设计设想了3轮(重复)收获。采收的咖啡根据其成熟阶段进行人工分类,使用先前开发的基于比色法的规模,并记录每个成熟阶段50种水果的白糖度。采用标准化湿法处理方法;一个由五名成员组成的Q分级拔罐小组被用来对咖啡饮料进行感官分析。结果:品种卡图拉在不同处理间杯质无统计学差异,而品种哥伦比亚,M1和M3处理表现相似,M2和M4处理差异有统计学意义。最后,建立了根据咖啡成熟期组成预测杯分的数学模型,对卡图拉和哥伦比亚的决定系数R2分别为0.946和0.852,误差分别为1.40和1.03%。结论:该模型采用模糊逻辑开发,并与其他农场的信息进行了验证,在估计杯作为咖啡品种卡图拉和哥伦比亚成熟阶段组成的函数时,误差小于2%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the composition effect of harvested coffee in the organoleptic properties of coffee drink
Background: The current flourishing of the specialty coffee market has motivated the development of this research on the basis that the harvested coffee fruits are a determining factor in drink quality. Objectives: The aim of this study was to evaluate the effect of the composition of harvested coffee (Coffea arabica L.) regarding the organoleptic quality of the coffee drink for the varieties Caturra and Colombia. Methods: Treatments for the assessed varieties were defined with different percentage compositions of coffee fruits M1 (100R), M2 (80R, 13OV, 7SR), M3 (60R, 26OV, 12SR, 2UR) and the control M4, which included fruits in different ripening stages, ripe (R), overripe (OV), semi-ripe (SR) and unripe (UR), in different proportions in experimental units of 10 kg of harvested coffee. The experimental design envisaged 3 rounds (repetitions) of harvest. The harvested coffee was classified manually according to its ripening stage using a previously developed scale based on colorimetry and recording the degrees Brix of 50 fruits in each ripening stage. The standardized wet processing method was carried out; a Q Grader cupping panel of five members was used for the sensory analysis of the coffee drink. Results: The results showed that for the variety Caturra statistical differences in cup quality between treatments were not found, whereas for the variety Colombia, treatments M1 and M3 showed similar behavior, with statistically significant differences regarding M2 and M4. Finally, the mathematical modeling obtained to predict the cup score depending on the coffee ripening stages composition, counted with coefficients of determination R2 of 0.946 and 0.852 with an error of 1.40 and 1.03% for the varieties Caturra and Colombia, respectively. Conclusions: The model developed with fuzzy logic and validated with information from other farms, presented an error of less than 2% in the estimation of the cup as a function of the ripening stages composition of the coffee varieties Caturra and Colombia
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