1.
Food Sci Biotechnol
; 33(6): 1323-1336, 2024 May.
Artículo
en Inglés
| MEDLINE
| ID: mdl-38585573
RESUMEN
Principal component analysis (PCA) is currently one of the most used multivariate data analysis techniques for evaluating information from food analysis. In this review, a brief introduction to the theoretical principles that underlie PCA will be given, in addition to presenting the most commonly used computer programs. An example from the literature was discussed to illustrate the use of this chemometric tool and interpretation of graphs and parameters obtained. A list of recently published articles will also be presented, in order to show the applicability and potential of the technique in the food analysis field.