Development of Quality Control Method for Glucofarmaka Antidiabetic Jamu by HPLC Fingerprint Analysis

https://doi.org/10.22146/ijc.23616

Hanifullah Habibie(1), Rudi Heryanto(2), Mohamad Rafi(3*), Latifah Kosim Darusman(4)

(1) Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680
(2) Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680 Tropical Biopharmaca Research Center, Bogor Agricultural University, Jl. Taman Kencana No. 3 Kampus IPB Taman Kencana, Bogor 16128
(3) Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680 Tropical Biopharmaca Research Center, Bogor Agricultural University, Jl. Taman Kencana No. 3 Kampus IPB Taman Kencana, Bogor 16128
(4) Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Jl. Tanjung Kampus IPB Dramaga, Bogor 16680 Tropical Biopharmaca Research Center, Bogor Agricultural University, Jl. Taman Kencana No. 3 Kampus IPB Taman Kencana, Bogor 16128
(*) Corresponding Author

Abstract


Herbal medicines become increasingly popular all over the world for preventive and therapeutic purposes. Quality control of herbal medicines is important to make sure their safety and efficacy. Chromatographic fingerprinting has been accepted by the World Health Organization as one reliable strategy for quality control method in herbal medicines. In this study, high-performance liquid chromatography fingerprint analysis was developed as a quality control method for glucofarmaka antidiabetic jamu. The optimum fingerprint chromatogram were obtained using C18 as the stationary phase and linear gradient elution using 10–95% acetonitrile:water as the mobile phase within 60 minutes of elution and detection at 210 nm. About 20 peaks were detected and could be used as fingerprint of glucofarmaka jamu. To evaluate the analytical performance of the method, we determined the precision, reproducibility, and stability. The result of the analytical performance showed reliable results. The proposed method could be used as a quality control method for glucofarmaka antidiabetic jamu and also for its raw materials.

Keywords


fingerprint analysis; glucofarmaka antidiabetic jamu; herbal medicines; HPLC; quality control

Full Text:

Full Text Pdf


References

[1] International Diabetes Federation, 2015, IDF Diabetes Atlas, 7th Ed., ed. Cavan, D., Fernandes, J.R., Makaroff, L., Ogurtsova, K., Webber, S., Brussel, Belgium, 57.

[2] Nissen, S.E., and Wolski, K., 2007, Effect of rosiglitazone on the risk of myocardial infarction and death from cardiovascular causes, N. Engl. J. Med., 356 (24), 2457–2471.

[3] Habibie, H., 2014, Pengujian In Vivo Terhadap Efikasi Formula Jamu Antidiabetes dan Analisis Sidik Jari Kromatografinya, Undergraduate Thesis, Institut Pertanian Bogor, Bogor.

[4] Rafi, M., Wulansari, L., Heryanto, R., Darusman, L.K., Lim, L.W., and Takeuchi, T., 2015, Curcuminoid’s content and fingerprint analysis for authentication and discrimination of Curcuma xanthorrhiza from Curcuma longa by high-performance liquid chromatography-diode array detector, Food Anal. Methods, 8 (9), 2185–2193.

[5] Xie, P.S., and Leung, A.Y., 2009, Understanding the traditional aspect of Chinese medicine in order to achieve meaningful quality control of Chinese materia medica, J. Chromatogr. A, 1216 (11), 1933–1940.

[6] Yang, L., Wu, D., Tang, X., Peng, W., Wang, X., Ma, Y., and Su, W., 2005, Fingerprint quality control of Tianjihuang by high-performance liquid chromatography-photodiode array detection, J. Chromatogr. A, 1070 (1-2), 35–42.

[7] Yang, X., Yang, S.P., Zhang, X., Yu, X.D., He, Q.Y., and Wang, B.C., 2014, Study on the multi-marker components quantitative HPLC fingerprint of the compound Chinese medicine Wuwei Changyanning granule, Iran. J. Pharm. Res.,
13 (4), 1191–1201.

[8] Alaerts, G., Matthijs, N., Smeyers-Verbeke, J., and vander Heyden, Y., 2007, Chromatographic fingerprint development for herbal extracts: A screening and optimization methodology on monolithic columns, J. Chromatogr. A, 1172 (1), 1–8.

[9] Castillo, S., Gopalacharyulu, P., Yetukuri, L., and Oresic, M., 2011, Algorithms and tools for the preprocessing of LC–MS metabolomics data, Chemom. Intell. Lab. Syst., 108 (1), 23–32.

[10] Dejaegher, B., Alaerts, G., and Matthijs, N., 2010, Methodology to develop liquid chromatographic fingerprints for the quality control of herbal medicines, Acta Chromatogr., 22 (2), 237–258.

[11] Xu, J., Jin, D., Liu, C., Xie, C., Guo, Y., and Fang, L., 2012, Isolation, characterization, and NO inhibitory activities of sesquiterpenes from Blumea balsamifera, J. Agric. Food Chem., 60 (32), 8051–8058.

[12] Praman, S., Mulvany, M.J., Allenbach, Y., Marston, A., Hostettmann, K., Sirirugsa, P., and Jansakul, C., 2011, Effects of an n-butanol extract from the stem of Tinospora crispa on blood pressure and heart rate in anesthetized rats,
J. Ethnopharmacol., 133 (2), 675–686.

[13] Mekuria, D.B., Kashiwagi, T., Tebayashi, S., and Kim, C.S., 2006, Cucurbitane glucosides from Momordica charantia leaves as oviposition deterrents to the leafminer, Liriomyza trifolii, Z. Naturforsch, 61c, 81–86.

[14] Rafi, M., Lim, L.W., Takeuchi, T., and Darusman, L.K., 2013, Simultaneous determination of gingerols and shogaol using capillary liquid chromatography and its application in discrimination of three ginger varieties from Indonesia, Talanta, 103, 28–32.

[15] Sadek, P.C., 2002, The HPLC solvent guide, John Wiley and Sons Inc., New York.

[16] Kromidas, S., 2005, More Practical in Problem Solving in HPLC, Wiley-VCH Verlag GmbH & Co., Weinheim.

[17] Bliesner, D.M., 2006, Validating Chromatographic Methods: A Practical Guide, John Wiley & Sons, Inc., New Jersey.

[18] Kazusaki, M., Ueda, S., Takeuchi, N., and Ohgami, Y., 2012, Validation of analytical procedures by high-performance liquid chromatography for pharmaceutical analysis, Chromatography, 33 (2), 65–73.

[19] Theodoridis, G.A., Gika, H.G., and Wilson, I.D., 2008, LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics, TrAC, Trends Anal. Chem., 27 (3), 251–260.



DOI: https://doi.org/10.22146/ijc.23616

Article Metrics

Abstract views : 1397 | views : 1720


Copyright (c) 2017 Indonesian Journal of Chemistry

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

 


Indonesian Journal of Chemistry (ISSN 1411-9420 / 2460-1578) - Chemistry Department, Universitas Gadjah Mada, Indonesia.

Web
Analytics View The Statistics of Indones. J. Chem.