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Generally speaking, to determine inner quality parameters such as soluble solids content (SSC) and vitamin C of intact mango or other fruits, several methods were already employed. Yet, most of them are based on chemical analysis and fruit extraction followed by other laboratory analysis. These methods often require complicated sample processing, longer time consuming and destructive. In the last three decades, the application of near infrared reflectance spectroscopy (NIRS) as a fast, robust and non-destructive method in agricultural industries is gaining more attentions. Thus, the main purpose of this present study is to apply the NIRS method in determining SSC and vitamin C of intact whole mango by developing prediction models. Near-infrared spectra data, in the form of diffuse reflectance spectrum, were acquired for a total of 53 mango samples. Spectra data were corrected and enhanced using mean normalization (MN), standard normal variate (SNV) and the combination of them (MN+SNV). Prediction models used to predict SSC and vitamin C of intact mangos were developed using partial least square regression (PLSR). The results showed that SSC and vitamin C can be predicted rapidly and simultaneously using NIRS method with maximum correlation coefficient (r) were 0.85 for SSC and 0.96 for vitamin C, with residual predictive deviation (RPD) index were 1.92 and 3.53 for SSC and vitamin C respectively. Based on obtained results, we may conclude that the NIRS method can be applied as an alternative fast and non-destructive method in determining quality parameters of intact mango.

The Application of Near Infrared Reflectance Spectroscopy as A Fast and Non-Destructive Method to Determine Inner Quality Parameters of Intact Mango