Browsing by Author "Orduña Ortega, Julieth (Director)"
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Item Desarrollo de un modelo de calibración por espectroscopía de reflectancia en el infrarrojo cercano de fitatos totales en frijol(Universidad Santiago de Cali, 2025) Patiño Lenis, Gelver; Orduña Ortega, Julieth (Director)Iron deficiency affects the world population and is the main cause of anemia, hence the importance of having crops, such as beans, which enhance food systems and meet the nutritional needs of the population. Therefore, the International Center for Tropical Agriculture (CIAT) bean breeding program aims to increase the concentration of minerals such as iron through biofortification. However, there is an adverse effect, and that is due to crops containing chemical species that form coordination complexes, such as phytates, which are responsible for retaining minerals, thus reducing their bioavailability in the organism. Currently in the Nutritional Quality Laboratory (NQL), 7000 analyses are performed annually for the quantification of total phytates by UV-VIS spectrophotometry in bean flour matrices, presenting difficulty for the laboratory to perform not only this high number of analyses but also the other volumes of samples from other assays, Therefore, it is proposed to develop and evaluate an analytical tool that generates fast and reliable results in the analysis of total phytates in bean flour by means of a calibration curve that generates a prediction model using near infrared reflectance spectroscopy (NIRS). A total of 334 bean varieties were analyzed with proper sample preparation. Subsequently, the total phytate content was evaluated by the reference method by UV-VIS spectrophotometry and then the spectra were generated in NIRS. Calibration and validation of different prediction models was performed with RStudio, prospectr, pls and other packages. A calibration model was obtained with SNVD-SG 1,4,5,3 and PLS regression in the range of 400 nm to 2500 nm with a RSQ of 0.77, 1-VAR of 0.54, SEC of 1.54, SEP of 2.59 and RPD of 1.46 that has the potential to preliminarily classify between concentration levels the extensive volumes of samples in NQL at low cost and short time to the bean breeding program at CIAT.