Classification and prediction of properties related to maturity of fresh ginger using NIR spectroscopy

บทคัดย่อ

This research studied classification technique for three harvesting dates of fresh ginger namely immature, early mature and mature gingers and development of predicting model for chemical values in ginger. The fresh gingers were measured with near infrared spectrophotometer in a range 12500–4000 cm^-1 in reflectance mode. The chemical values, moisture content and fiber content were determined and used as reference value for model development. The classifying models were built using Partial Least Squares Discriminant Analysis (PLS-DA) and the predictive models were developed by Partial Least Squares Regression (PLSR). The results showed that the correction of classification based on spectra preteated with second derivative of ginger stages was 100%. The prediction of moisture content in ginger was most accurate with correlation coefficient (R_p) and root mean square error of prediction of moisture content (RMSEP) of 0.93 and 1.09%, respectively. This method is non-destructive technique, safe chemical substance and time.