Effects of different temperature and pHs on second carbonation juice quality attributes during raw sugarbeet juice purification using PLS regression analysis

In this study, Partial Least Squares (PLS) statistical procedure was used to analyze the results of measured quality attributes in sugarbeetsecond carbonation juice along with independent and dependent variables. Correlation coefficient was carried out between temperature (3 levels) and pH (9levels) (independentvariables) with alkalinity, total hardness, sucrose, solution color, and conductivity ash.The results of matrix correlation (Pearson correlation) showed that significant correlation was observed temperature with solution color (0.938)and conductivity ash (0.608). Also, matrix correlation showed that pH had significant correlation with alkalinity (0.975)and total hardness(0.694). The results of variable importance in projection (VIP) at PLS regression procedureshowed that pH importance on quality attributes of second carbonation juice was much than temperature.Also, VIP standardized coefficients between independent and dependent variables showed that pH had strong positive effect on alkalinity and total hardness; in contrast, temperature had strong negative effect on solution color and conductivity ash. Temperature and pH had weak negative correlation (no significant) on second carbonation juice sucrose contents.