Statistical prediction of the drying behavior of blanched ginger rhizomes

ARS-680 environmental chamber was employed in this study to determine the drying behavior of sliced ginger rhizomes. Blanched and unblanched treated rhizomes were considered at temperature 40 °C for a period 2 – 24 h. Linear non-linear regression analyses establish correlation that exits between time moisture ratio. Correlation analysis, root mean square error (RMSE) standard estimate (SEE) analysis chosen selecting best thin layer models. Higher values determination coefficient (R2) show goodness fit lower SEE implies better correlation; RMSE also utilized determining fit. The data variously samples fitted into twelve models obtained by multiple technique. sample exhibited losing about 82.87 % content compared with unbleached lost 62.03 content. Two-term exponential model proved be most suitable predicting rhizome. high R2 0.9349-0.9792 (which are close unity) both blanched samples. Also, it recorded relatively low (3.6865 - 2.0896 3.6564-2.7486 respectively) treatments.