多元分析法测定蔗糖中离子种类和强度与电导率相关性的研究OA

Multivariate analysis was used to investigate the effects of ion species and concentration on the conductivity of sucrose solutions from different sources,providing data to support sucrose quality control.Ion chromatography was employed to determine the content of sulfite,sulfate,sodium,potassium,magnesium,and calcium ions in 45 batches of sucrose samples,and a conductivity meter was used to measure the conductivity of each sample.Multivariate correlation analysis was conducted to describe and analyze the correlations between individual ions and conductivity.A partial least squares regression model was established to correlate ion content with conductivity,and its accuracy and reliability were verified using calibration and prediction sets.The multivariate correlation analysis revealed that conductivity exhibited a strong,significant positive correlation with potassium ions,calcium ions,and sulfate ions;a weak,significant positive correlation with sulfite ions;and no significant correlation with sodium or magnesium ions.The partial least squares regression model demonstrated a good multivariate linear relationship between the concentrations of the several ions and conductivity,with a coefficient of determination(R2)of 0.925441 and a root mean square error of prediction(RMSEP)of 4.7445,indicating small prediction error,robustness,and accuracy.Sucrose conductivity is significantly correlated with ion species and concentration.The established regression model can be used for predicting sucrose conductivity and supporting quality control,and also provides a reference for further refining the sucrose standard in the Chinese Pharmacopoeia.