RP-HPLC SEPARATION AND STATISTICAL DATA PROCESSING OF DIFFERENT BATCHES OF AERIAL PARTS OF JOLOGBO

J. Boima Kiazolu Shanghai Key Laboratory of Functional Materials Chemistry, East China University of Science and Technology, Shanghai, P. R. China

Lingyi Zhang Shanghai Key Laboratory of Functional Materials Chemistry, East China University of Science and Technology, Shanghai, P. R. China

Azeem Intisar Shanghai Key Laboratory of Functional Materials Chemistry, East China University of Science and Technology, Shanghai, P. R. China

Yun Wang Shanghai Key Laboratory of Functional Materials Chemistry, East China University of Science and Technology, Shanghai, P. R. China

Runsheng Zhang Shanghai Institute of Forensic Science, Shanghai Key Laboratory of Crime Scene Evidence—State Key Laboratory Breeding Base of Crime Scene Evidence, Shanghai, P.R. China

Zhongping Wu Shanghai Institute of Forensic Science, Shanghai Key Laboratory of Crime Scene Evidence—State Key Laboratory Breeding Base of Crime Scene Evidence, Shanghai, P.R. China

Weibing Zhang Shanghai Key Laboratory of Functional Materials Chemistry, East China University of Science and Technology, Shanghai, P. R. ChinaCorrespondence[email protected]

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Abstract

This study was designed to develop a sensitive and reliable RP-HPLC method for the separation of aerial parts of Jologbo. Different extraction methods were used and compared to obtain the maximum number of constituents. Different chromatographic conditions were optimized to achieve optimum separation. A total of 98 peaks were obtained in the optimized separation method. Seasonal variation and difference in chemical composition among aerial parts of the plant were evaluated. Significant difference in the chemical composition was observed and statistical data processing supported the results. The correlation coefficient and vector cosine were calculated by chemometric analysis to evaluate peak retention times, peak areas, and peak heights between various batches (using selected peaks) which showed good repeatability. Gallic and protocatechuic acids were identified from the plant and their intra-day and inter-day repeatability values were calculated and convincing results were obtained.

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ACKNOWLEDGMENT

Authors are thankful for the support received from the National Natural Science Foundation of China (No. 21075039, 21105027), and the Science and Technology Commission of Shanghai Municipality (No. 10dz2220500).

Notes

Extraction conditions used in subsequent experiments: Highlighted.

Degree of similarity was calculated using MatLab 2009.

Comparison of the composition of leaves and stems of Jologbo.

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RP-HPLC SEPARATION AND STATISTICAL DATA PROCESSING OF DIFFERENT BATCHES OF AERIAL PARTS OF JOLOGBO

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RP-HPLC SEPARATION AND STATISTICAL DATA PROCESSING OF DIFFERENT BATCHES OF AERIAL PARTS OF JOLOGBO

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ACKNOWLEDGMENT

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