Research Journal of Pharmacy and Technology
SCOPUS
  • Year: 2023
  • Volume: 16
  • Issue: 1

Preparation and FTIR-ATR combined with chemometrics analysis of self-emulsifying loaded sungkai extract from Peronema canecens

  • Author:
  • Shaum Shiyan1,2,*, Nafisah Ramadona1, Widea Fitri Utami1,2, Natascha Depriyanti1,2, Anazir Mukafi1, Wanda Noviandhani1,2
  • Total Page Count: 7
  • Page Number: 79 to 85

1Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya, Indralaya (OI)Sumatera Selatan, 30662, Indonesia

2Phytopharmaceutical Reseach Center (PRC) at Laboratory of Pharmaceutical Biology, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya, Indralaya (OI), Sumatera Selatan, 30662, Indonesia

*Corresponding Author E-mail: shaumshiyan@unsri.ac.id

Online Published on 10 October, 2023.

Abstract

The use of immunomodulators is one strategy in maintaining the immune system during the Covid-19 pandemic. Sungkai leaf extract from Peronema canecens keeps the immune system in good shape. Therefore, in this study, we formulated a self-emulsifying loaded sungkai leaves extract (SE-SLE) with oleic acid and virgin coconut oil (VCO) oil phases, span 80 and tween 80 as surfactants and co-surfactants in the form of PEG-400 and PG. Chemometric analysis was conducted by observing the typical pattern in each FTIR-ATR spectra. The pattern is divided into several groups based on the wavenumber and analyzed using principal component analysis (PCA) to identify the compounds contained therein. Grouping based on chemical properties via IR spectra on SE-SLE resulted in two large groups. The results obtained are beneficial as initial information in developing and optimizing the self-nano emulsifying drug delivery system formula.

Keywords

Chemometrics, FTIR-ATR, Peronema canecens, Self-emulsifying, Emulsion, Sungkai, Principal component analysis, Cluster analysis