Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy.
Jha S. N., Pranita Jaiswal, Narsaiah K., Mansha Gupta, Rishi Bhardwaj, Singh A. K.
Author Affiliation: Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology (CIPHET), Ludhiana 141 004, India.
Scientia Horticulturae 138 : 171-175
Abstract : Agriculture industries are continuously in search of new user friendly technologies to evaluate the intrinsic properties of fruits before it is put in the market for the consumer. In the current study the potential of near-infrared (NIR) spectroscopy in the wavelength range of 1200-2200 nm was evaluated to determine total soluble solids and pH for seven major cultivars of mangoes from seven states of India. NIR models were developed based on multiple-linear regression (MLR) and partial least square (PLS) regression employing preprocessing technologies (baseline correction, smoothening, multiplicative scatter correction (MSC) and second order derivatisation). The multiple correlation coefficients for calibration and validation were found to be 0.782 and 0.762 for total soluble solids and 0.715 and 0.703 for pH respectively. The standard errors of calibration, prediction, biases and differences in them were low which indicated the NIRS potential to predict internal quality parameters (TSS and pH) of mango non-destructively for both models.