2022 Volume 10 Pages 257-287
Coffee attracts consumers worldwide for its unique sensorial properties. Its unique flavor is affected by numerous factors. The biochemical properties associated with geographical features are among the essential aspects that may modulate coffee’s distinct sensorial profiles, and may be employed for its origin determination and authentication. This systematic literature review served to assess the newest techniques for coffee authentication, origin determination, and adulteration detection from analytical and nondestructive approaches. This study focused on the last 10 years’ high-quality research in the field. Accordingly, 78 articles using both analytical and nondestructive methods for the determination of coffee origin and fraud detection were found in leading journal databases. Apart from the compound profile and instrumentation, data analyses including statistics, machine learning, and multivariate models which have been commonly used are discussed as well. In addition, other important information, such as data validation methods and the predictive capability of the above techniques are also reflected in this review.
