A Simulation Study for Effect of Particle Size on On-line Measurement Sampling System of Traditional Chinese Medicine Extraction Process

Abstract

As the objective of simulation study,the samples of gardenia fructus extract were collected every 5 min while boiling for 60 min.Each sample was filtrated by different sizes of sieve meshes,and then scanned by the near infrared spectra.Using the HPLC determined value for reference,quantitative calibration models of geniposide were established by the partial least square method.Based on on-line near infrared spectral technology,the effects of by-pass preprocess system and filter mesh on the accuracy of calibration model were further studied.By the analysis of paired t test,the filtrated sample was compared with original extract,which illustrated that the filtrated sample and the original extract weren' t significant different,so the sample after filtration could be representative of the original gardenia fructus extract for the data analysis.In addition,after the sample was filtrated by a sieve with meshes size of 0.049 mm,quantitative prediction model,which was built by raw spectrum pretreatment,could reach the ideal prediction result( Root Mean Square Error of Cross Validation( RMSECV) was 0.1962,Root Mean Square Error of Prediction( RMSEP) was 0.1867,Bias was 0.0256).It was recommended that proper size of sieve mesh could be selected by the simulation study,and then the feasibility of sample pretreatment system could be verified on-line,finally the stable preprocess system could be established.These steps could improve the performance of prediction models dramatically.