Abstract—Intensive cultivation to meet the growing market demand of mangoes for both domestic and export consumption leads to the presence of possible pesticide residues and other agricultural chemicals on the fruit which may pose health hazards since mangoes are eaten as fresh fruit. The dry-extract system involving near infrared spectroscopy (DESIR) was employed using NIR reflectance spectroscopy for detecting pesticide residues on fresh Carabao mango fruit. Best calibration models were achieved using Partial Least Square Regression analysis. Results of spectra of dry extracts of aqueous solutions were encouraging due to its usability for most applications including research but with caution. Regression models for dry extracts from the recovery of water washes of the sprayed fruit were also inspiring for its model fitness (R2cv of approximately 0.7-0.81) and RMSECV range of 0.13-1.004 g/L of active ingredient. This result suggested acceptability of NIR as a rapid screening tool for immediate decision making but suspected samples being subjected to the reference GC-MS analysis method.
 

Index Terms—fresh Carabao mango fruit, near infrared, pesticides, pesticide residues

Cite: Jula Mae E. Beseos, Kevin F. Yaptenco, Elda B. Esguerra, and Engelbert K. Peralta, "Evaluation of Dry Extract System Involving NIR Spectroscpoy (DESIR) for Pesticide Residues Detection on Fresh Carabao Mango (Mangifera indica L. cv ‘Carabao’) Fruit," Journal of Advanced Agricultural Technologies, Vol. 5, No. 1, pp. 24-30, March 2018. Doi: 10.18178/joaat.5.1.24-30