doi:

DOI: 10.3724/SP.J.1096.2013.30113

Chinese Journal of Analytical Chemistry (分析化学) 2013/41:12 PP.1899-1904

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.

Key words:Traditional Chinese medicine,Near infrared spectroscopy,Extraction process,On-line measurement,Sampling system

ReleaseDate:2015-04-19 11:08:16



1 Luypaert J, Massart D L, Vander Heyden Y. Talanta, 2007, 72(3): 865-883

蒋 雪, 张经硕, 邱 敏, 谢洪平, 郭丽萍. 分析化学, 2006, 34(9): 171-174

褚小立, 袁洪福, 陆婉珍. 现代科学仪器, 2004, (2): 3-17

2 Roggo Y,Chalus P, Maurer L, Lema M, Carmen E, Aurélie J, Nadine. J. Pharm. Biomed. Anal., 2007, 44(3): 683-700

3 Wu Y J, Jin Y, Ding H Y, Luan L J, Chen Y, Liu X S. Spectrochim. Acta Part A., 2011, 79(5): 934-939

符青灵. 化工自动化及仪表, 2002, 29(1): 59-66

李 华, 王菊香, 邢志娜, 申 刚. 光谱学与光谱分析, 2011, 31(2): 362-365

4 Wu Y J, Jin Y, Li Y R, Sun D, Liu X S, Chen Y. Vib. Spectrosc., 2012, 58: 109-118

5 JIANG Xue, ZHANG Jing-Shuo, QIU Min, XIE Hong-Ping, GUO Li-Ping. Chinese J. Anal. Chem., 2006, 34(9): 171-174

杜 敏, 吴志生, 林兆洲, 隋丞琳, 史新元, 乔延江. 药物分析杂志, 2012, 32(10): 1796-1800

6 CHU Xiao-Li, YUAN Hong-Fu, LU Wan-Zhen. Mod. Sci. Instrum., 2004, (2): 3-17

皇才进, 刘 贤, 杨增玲, 韩鲁佳. 光谱学与光谱分析, 2009, 29(5): 1264-1267

7 FU Qing-Ling. Contr. Instru. Chem. Ind., 2002, 29(1): 59-66

8 Rinnan Å, Berg F V D, Engelsen S B. TrAC-Trend Anal. Chem., 2009, 28(10): 1201-1222

9 LI Hua, WANG Ju-Xiang, XING Zhi-Na, SHEN Gang. Spectroscopy and Spectral Analysis, 2011, 31(2): 362-365

10 Wu Z S, Du M, Xu B, Lin Z Z, Shi X Y, Qiao Y J. J. Mol. Struc., 2012, 1019: 97-102

11 Wu Z S, Du M, Sui C L, Shi X Y, Qiao Y J. Anal. Methods, 2012, 4(4): 1084-1088

12 Wu Z S, Xu B, Du M, Sui C L, Shi X Y, Qiao Y J. J. Pharm. Biomed. Anal., 2012, 62: 1-6

13 DU Min, WU Zhi-Sheng, LIN Zhao-Zhou, SUI Cheng-Lin, SHI Xin-Yuan, QIAO Yan-Jiang. Chinese J. Pharm. Anal., 2012, 32(10): 1796-1800

14 Bellon M V, Fernandez A E, Palagos B, Roger J M, McBratney A. TrAC-Trend Anal. Chem., 2010, 29(9): 1073-1081

15 HUANG Cai-Jin, LIU Xian, YANG Zeng-Ling, HAN Lu-Jia. Spectroscopy and Spectral Analysis,2009, 29(5): 1264-1267

16 Andrew J O, Roger D J, Anthony C M. Analyst, 1998, 123: 2297-2302