Asian Pacific Journal of Tropical Biomedicine (Sep 2016)

Bioprospecting for anti-Streptococcus mutans: The activity of 10% Sesbania grandiflora flower extract comparable to erythromycin

  • Azis Saifudin,
  • Alfian Mahardika Forentin,
  • Arini Fadhilah,
  • Kuswandi Tirtodiharjo,
  • Witri Dyah Melani,
  • Devita Widyasari,
  • Tri Agus Saroso

DOI
https://doi.org/10.1016/j.apjtb.2016.07.004
Journal volume & issue
Vol. 6, no. 9
pp. 751 – 754

Abstract

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Objective: To search an herbal material, capable of inhibiting plaque producing bacteria Streptococcus mutans. Methods: Twenty materials comprising 10 flowers and 10 rhizomes were extracted with 70% ethanol. Their activity was then examined at a concentration of 10% (w/v) against Streptococcus mutans in vitro on Mueller–Hinton media. Erythromycin (Oxoid, 20 μg disc) was used as a positive control. Meanwhile, to establish a fingerprint guide for authentication or quality control, the most potent material was further analyzed regarding its chemical constituents by means of reversed phase-high performance liquid chromatography (HPLC) and thin-layer chromatography (TLC). Results: Of the tested samples, Sesbania grandiflora (S. grandiflora) flower and Costus speciosus rhizome extracts showed the most potent activity with inhibited zone diameters of 18.5 and 14.8 mm, respectively. On the other hand, other extract plants showed a diameter zone in the range of 0.5–10.6 mm or being inactive (diameter = 0 mm). The activity of S. grandiflora was comparable to that of erythromycin (diameter = 18.0 mm). The best separation was achieved on HPLC system with acetonitrile-water with a ratio of 2:8, and a flow rate at 0.5 mL/min. TLC, meanwhile, was featured on chloroform–methanol (8.5:1.5) as a mobile system. Conclusions: S. grandiflora flower is a promising material to be developed as the active ingredient of anti-plaque toothpaste as well as mouthwash solution. The developed HPLC and TLC system can be used for a further standard in its material authentication as well as for a fingerprinting of quality control during the manufacturing process.

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