Technological innovation tools for specialty coffee from quality analysis instrumentation: A systematic review

Main Article Content

Diego Andrés Campo Ceballos
Carlos Alberto Gaviria López

Abstract

In the coffee value addition chain, the ideal process should be like a continuous and predictable process. This is not possible for the coffee agribusiness because each harvesting, processing and storage process is different and influences the final product. In addition, the automation of the roasting process is limited because sensory perceptions such as smell, taste and coffee color are not yet fully adjustable from different instrumental sources. Further research on this topic is needed. This article presents the results of the systematic mapping study aimed at evaluating the tools of the instrumented systems for the analysis of the quality of specialty and origin coffee. 172 documents were consolidated to study the advances in innovation and technological change for the coffee sector, and the results indicate that through the technique of  fusion of data from the E-Nose and E-Tongue, and E-Eye systems, coffees were identified and classified by their roasting color, aroma and flavor, and its organoleptic attributes were quantified, offering a competitiveness tool as a complement to a traditional quality assessment process carried out by a panel of expert tasters, which can be  supported by the analysis of multivariate data, the treatment and processing of data and visual, olfactory and signals and  of flavor, to represent a diagnosis of the quality of roasted coffee as a tool of innovation for coffee communities. A scheme of integration of the technologies instrumented for the evaluation of the quality of coffee as an element of technology transfer of industry 4.0 in the coffee agro-chain and its role in competitiveness and rural coffee development was proposed

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Campo Ceballos, D. A., & Gaviria López, C. A. (2021). Technological innovation tools for specialty coffee from quality analysis instrumentation: A systematic review. I+ T+ C- Research, Technology and Science, 1(15), 12–30. Retrieved from https://revistas.unicomfacauca.edu.co/ojs/index.php/itc/article/view/418
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Research Papers

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