Enhancement of Coffee Quality Attributes by Combining Processing Methods and Varieties

被引:1
|
作者
Teran, Emiliano [1 ]
机构
[1] Autonomous Univ Sinaloa, Fac Phys Math Sci, Culiacan 80040, Sinaloa, Mexico
来源
BEVERAGES | 2024年 / 10卷 / 01期
关键词
coffee quality; processing methods; coffee varietals; sensory attributes; Arabica; Robusta; coffee cultivation; flavor development; aroma attributes; acidity; BEVERAGE QUALITY; CERTIFICATION; ORIGINS; IMPACT;
D O I
10.3390/beverages10010010
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The intricate framework of attributes that define coffee quality, from varietals to processing methods, presents a comprehensive array of sensory experiences that influence consumption patterns. This research delves into the complex relationship between the characteristics of coffee beans, specifically varietal distinctions, applied processing methodologies, and the resulting sensory attributes, across both Arabica and Robusta species. Utilizing comprehensive linear mixed model analyses, this study examines the sensory intricacies, with a notable emphasis on flavor, aroma, and acidity, and their correlation with different countries of origin. Drawing from a diverse dataset that encompasses various global regions, our findings underscore the pivotal role of regional nuances in shaping the sensory evaluation of coffee. While Arabica beans exhibited certain distinct sensory attributes anchored to specific processing methods and regions, Robusta beans presented variations that were more nuanced. The results align with the existing literature, emphasizing the integral role of regional influences in coffee evaluations. This study reveals that specific Arabica varieties, such as Bourbon and Pacamara, enhance flavor when processed using the 'Natural/Dry' method. Meanwhile, certain Robusta beans processed with one of the methods showcased improved flavor scores. These insights provide the coffee industry with targeted strategies, reshaping cultivation and processing to meet discerning consumer preferences.
引用
收藏
页数:18
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