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JANUARY-DECEMBER 2019 - Volume: 6 - Pages: [10 p.]
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ABSTRACT:Generally, sweet almonds are an edible fruit in its natural state and widely used as a main ingredient in manufactured food products, however, the presence of bitter almonds in a product made with sweet almonds causes an unpleasant taste that directly affects the quality and product acceptability. In this work we detail the process to use VIS-NIR spectroscopy as a non-destructive technique, in combination with chemometric methods for the classification of sweet andbitter almonds. The results reflect that through the PLS-DA method 100% accuracy is achieved in the classification of the validation set, as well as it is determined that the VIS-NIR spectroscopy technique has high possibilities of being adapted to a classification system automated, providing advantages in relation to detection time, versatility of the products to be analyzed and reduction of investment for industrial processes, ensuring a correct quality control. Keywords: Chemometrics, VIS-NIR spectroscopy, automated.
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