Optical methods for quality evaluation of fruits (part 2) Prediction of individual sugars and malic acid concentrations of apples and mangoes by the developed NIR reflectance system.
Budiastra I. W., Ikeda Y., Nishizu T.
Author Affiliation: Graduate School of Agricultural Science, Kyoto University, Kyoto, 606-8502, Japan.
Journal of the Japanese Society of Agricultural Machinery 60 : 117-127
Abstract : A near infrared reflectance system for on-line quality inspection of fruits was developed and examined to predict individual sugars and malic acid concentrations of cylindrical samples of the flesh of Golden Delicious apples and intact mangoes. Two kinds of multiple linear regression methods were examined to calibrate the log(1/R) values in wavelengths from 1400 to 2000 nm, with individual sugars and malic acid concentration determined by a chromatography procedure. A set of calibration equations developed by using stepwise multiple linear regression was applicable for predicting the individual sugar and malic acid of the tested fruits. The correlation coefficients of the relationships between actual values and predicted values were >0.9 with standard error predictions 0.44%.