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HPTLC FINGERPRINT PROFILE OF PIPER BETTLE FOLIUM FROM BANDUNG-BOGOR-SOLO INDONESIA

I Made Agus Gelgel Wirasuta

¹

, Muhammad Natsir Siregar

²

, and Anny Sulistiowati

²

1 Pharmacy Department – Mathematics and Natural Sciences Faculty - Udayana University Bali – Indonesia.

2 Research Center Drug and Food of The NA-DFC – Jakarta – Indonesia

ABSTRACT

HPTLC metabolite fingerprint of Piper bettle L. leaves obtained from central herbal gardens of Manoko-Bandung, Bogor and Tawang-Mangu-Solo of Indonesia were profiled and validated.

The 0.1 gram of each powdered Piper bettle Folium samples were added to 1 mL methanol and extraction aided by immersing into an ultrasonic bath at 60 oC for 5 minutes. 5 µL extract was spotted on a HPTLC plate. For each sample, spotting was carried out over 6 replicates and plate was eluted by toluene-ethyl acetate (7: 3 v/v).

Developed spots were detected under UV-lamp at 254 and 366 nm. Each chromatogram was scanned at 210 nm under TLC-Scanner 3 Camag. In situ spectrum of each peak was scanned between 200-400 nm. Eugenol was spotted as reference.

The similarity of chromatograms was obtained through multi-variance PCA and HCA analyses. Aim of this study was to profile the metabolites fingerprint of Piper bettle L.

leaves, which influenced by different geographical area.

The TLC system had provided a good separation for fingerprint analysis of the phytochemical constituents of Piper bettle Folium. Phytocemical fingerprint HPTLC of Piper bettle from Bandung were similar to from Bogor. The multivariate statistical analysis of chromatograms could distinguish sample according to different areas of cultivation. HPTLC analysis of Piper bettle can provide the standard fingerprint that can be used as a reference for the identification and quality control of the herbal drug.

INTRODUCTION

HPTLC is common used as the first line analytical tool for the quantification of plant products. HPTLC fingerprint has better resolution and estimation of active compounds.

Chromatographic fingerprint is a rational option to meet the need for more effective and powerful quality assessment to herbal drugs. Statistical chemometric analysis can be a method for the analysis for similarity between obtained chromatograms of herbal drug.

For this study, we reported the HPTLC fingerprint profiles of Piper bettleL. leaves obtained from central herbal gardens of Manoko-Bandung, Bogor and Tawang-Mangu- Solo of Indonesia.

METHOD

Samples preparation

Extraction Ultrsonic bath

Spoted on HPTLC plate

Elution Scanned

TLC-Scanner 3 Camag Statistical

chemometric analysis

R E S U L T S A N D D I S C U S S I O N

HPTLC fingerprints of extracts Piper Bettel Folium

Chemometric statistical analysis of HPTLC-

Chrometograms

Discussion

The mobile phase had provided a good separation of the phytochemical constituents of Piper bettle. HPTLC produced good similarity chromatogram peaks pattern between the samples. Piper bettle samples from Bandung and Bogor showed similarities in phytochemical contents but not the sample from Solo. HPTLC-fingerprint profiles could provide a means to distinguish samples from different areas of cultivation.

Conclusion

The results obtained from the qualitative evaluation of HPTLC fingerprint images and chromatograms had shown good information of the phytochemical constituents of Piper bettle Folium. HPTLC analysis of Piper bettle can provide the standard fingerprint that can be used as a reference for the identification and quality control of the herbal drug.

Reference

1. Paramita, N. L. P. V. and I M. A. G. Wirasuta, (2013), Pengaruh Perbedaan Metode Ekstraksi Terhadap Fingerprint Fitokimia High Perfomance Thin Layer Chromatography (HPTLC)-Ganja, Indonesian Journal of Legal and Forensic Sciences 2013; 3(1): 1-5

2. Wirasuta, I M.A.G, (2012), Chemical profiling of ecstasy recovered from around Jakarta by High Performace Thine Layer Chromatography (HPTLC)-densitometry, Egyptian Journal of Forensic Sciences, 2 (3): 297-104