Coffee review

Will different roasting degrees of coffee beans have different tastes for coffee?

Published: 2024-09-17 Author: World Gafei
Last Updated: 2024/09/17, Each coffee has different degrees of roasting, different tastes and different tastes. Coffee is one of the most popular drinks in the world, and the most commercially valuable varieties are Arabica and Robst. In this paper, Yunnan Arabica coffee and Indian Robster coffee were selected as the representatives of the two species, and the sensory profiles of two kinds of coffee with different roasting degrees were studied.

Coffee is one of the most popular beverages in the world, with the most commercially valuable varieties being Arabica and Roast. In this paper, Yunnan Arabica coffee and Indian Robusta coffee were selected as representatives of the two species. Sensory profiles of the two coffee species with different roasting degrees were studied, and the main nonvolatile components and aroma substances in coffee were determined. Then, the advantages and disadvantages of the two sensory descriptive methods were compared by multivariate statistical analysis, the influence of roasting degree on sensory characteristics and chemical components of coffee was analyzed, and the correlation between sensory quality and chemical components was studied. The main conclusions are as follows: The similarities and differences between Spectrum and FP sensory description methods were compared from sensory descriptors, flavor profiles and sample classification. Fifteen sensory descriptors were established to describe the sensory characteristics of two coffees at different roasting degrees. Green beans had strong grassy and green bean flavors, and nutty, roasted, rubbery and burnt flavors increased with roasting degree. Compared with Yunnan coffee, Robster coffee has lighter color, weaker aroma, typical barley tea flavor and bitter taste. By FP method, 46 consumer vocabularies are generated and sensory profiles of samples are obtained. However, it is difficult to describe the specific characteristics of samples because of the difficulty in understanding the attributes in the profiles. The correlation coefficient of sensory profiles generated by the two methods was only 0.353. FP accuracy is not high when the sample difference is small and the sample number is large.

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