Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/35104
Título : A Systematic Mapping Study of Coffee Quality throughout the Production-to-Consumer Chain
Autor : Rendón Mera, Alicia María
Corrales, David Camilo
Peñuela Mesa, Gustavo Antonio
metadata.dc.subject.*: Café
Coffee
Industria del Café
Coffee Industry
Productos Vegetales
Vegetable Products
Control de Calidad
Quality Control
Fecha de publicación : 2022
Editorial : Hindawi; Wiley
Citación : Alicia María Rendón-Mera, David Camilo Corrales, Gustavo Antonio Peñuela Mesa, "A Systematic Mapping Study of Coffee Quality throughout the Production-to-Consumer Chain", Journal of Food Quality, vol. 2022, Article ID 8019251, 18 pages, 2022. https://doi.org/10.1155/2022/8019251
Resumen : ABSTRACT: Coffee is one of the most consumed beverages in the world and is crucial in the economy of many developing countries. 'e search to improve coffee quality comes from many fronts, as do the many ways to measure quality and the factors that affect it. Several techniques are used to measure the different metrics to assess coffee quality, across different types of coffee samples and species, and throughout the entire process from farm to cup. In this work, we conducted a systematic mapping study of 1,470 articles to identify the aspects of quality that are the most important in the scientific literature to evaluate coffee throughout the processing chain. 'e study revealed that cup quality and biochemical composition are the most researched quality attributes. 'e main objective of the reviewed studies is the correlation between different quality measurements. 'e most used techniques are the analytical chemistry methods. 'e most studied species is Coffea arabica. 'e most used sample presentation is green coffee. 'e postharvest stage is the most researched, in which quality control receives more attention. In the preharvest stage, management practices stand out. Finally, the most used type of research was the evaluation research.
metadata.dc.identifier.eissn: 1745-4557
ISSN : 0146-9428
metadata.dc.identifier.doi: 10.1155/2022/8019251
Aparece en las colecciones: Artículos de Revista en Ingeniería

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
RendonAlicia_2022_SystematicMappingStudyCoffee.pdfArtículo de revisión559.72 kBAdobe PDFVisualizar/Abrir


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons