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Development of Metformin and Glimepiride Analysis Methods Using TLC-Spectrofluorometry Adlina, Salsabila; Ibrahims, Slamet; Permana, Benny
Indonesian Journal of Pharmaceutical Science and Technology Vol 10, No 3 (2023)
Publisher : Indonesian Journal of Pharmaceutical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/ijpst.v10i3.33708

Abstract

Diabetes mellitus (DM) is a chronic metabolic disorder disease. DM presents in two main types 1and 2. Type 2 DM was caused by genetic and lifestyle which was the biggest contributor to DMcases. Many patients with type 2 DM treated with combination therapy using Fix Dose Combination(FDC) preparation to increase patients compliance and therapeutic effect. FDC preparations containedmetformin and glimepiride. Assay of these combination was not found in compendial. A rapid,simple, specific method analysis of metformin and glimepiride has been developed in this riset usingTLC-spectrofluorometry. Metformin and glimepiride content in tablet were determined by the TLC-spectrofluorometry using dansyl chloride as derivatization agent under alkali conditions. In the TLCmethod, metformin and glimepiride were dissolved with methanol and gives Rf values of 0.52 and0.70, respectively in system containing silika gel GF254 as stationary base and methanol:water: glacialasetic acid (6:4:0.25) as developing solvent. TLC results were scraped off and reacted using dansylchloride 0.1% then fluorescence intensity measurements were carried out at emission wavelength 483nm for metformin and 489 nm for glimepiride. Method validation is done by determining linearity,accuracy, precision, Limit Of Detection (LOD) and Limit Of Quantization (LOQ).
Enhanced delivery of anti-inflammatory therapeutics using pH-responsive histidine-modified poly-L-lysine on mesoporous silica nanoparticles Permana, Zuliar; Xeliem, Jovinka N.; Zefrina, Normalita F.; Hanum, Latifa F.; Nirmalayanti, Ni LPKV.; Permana, Benny; Mudhakir, Diky
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1815

Abstract

Mesoporous silica nanoparticles (MSNs) are effective platforms for drug delivery due to their high surface area, adjustable pore sizes, and biocompatibility. The aim of this study was to explore the application of histidine-modified poly-L-lysine (PLL-His) as a pH-responsive gatekeeper to control the release of an anti-inflammatory agent, celecoxib, from MSNs. MSNs were synthesized through a sol-gel process using cetyltrimethylammonium bromide (CTAB) as a template and were functionalized with amine groups using (3-aminopropyl)triethoxysilane (APTES). Drug loading was achieved via adsorption in ethanol. Subsequently, poly-L-lysine (PLL) and PLL-His were conjugated to the MSNs using 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDAC) and N-hydroxysuccinimide (NHS) to form MSN-NH2-Drug-PLL and MSN-NH2-Drug-PLL-His constructs. Characterization of these particles was conducted using Fourier-transform infrared (FT-IR) spectroscopy, Brunauer-Emmett-Teller (BET) analysis, and particle size analysis. Results showed that the particle size of MSN-NH2-drug-PLL and MSN-NH2-drug-PLL-His was 237.10±6.56 nm and 234.03±14.65 nm, respectively, indicating suitability for cellular uptake. BET analysis confirmed the increased surface area and pore volume after the removal of CTAB, demonstrating successful mesopore formation. Drug release tests were performed in simulated gastric (pH 1.2) and physiological (pH 7.4) conditions, showing that PLL-His-modified MSNs exhibited minimal release in acidic conditions and sustained release at physiological pH. The PLL-His effectively functioned as a pH-responsive gatekeeper, enhancing drug targeting and reducing premature release. This study highlights the potential of PLL-His-modified MSNs as a promising model for pH-sensitive, targeted drug delivery, with potential applications across various therapeutic areas requiring precise release profiles. This approach could significantly improve therapeutic outcomes and patient compliance, particularly in disease contexts where pH variability is a critical factor. Overall, the integration of PLL-His as a pH-responsive gatekeeper represents a significant advancement in the design of smart drug delivery systems.
Development and Validation of Analytical Method for Piperine in Phytopharmaceutical Product Containing Cabe Jawa Fructus by HPLC Galih, Wening; Permana, Benny; Damayanti, Sophi
Indonesian Journal of Pharmaceutical Science and Technology Vol 12, No 1 (2025)
Publisher : Indonesian Journal of Pharmaceutical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/ijpst.v12i1.46348

Abstract

Cabe Jawa fruit (Retrofractii fructus) has empirically known to have effects such as anti-inflammatory and analgesic due to the presence of piperine. The maximum daily dose for piperine is 0.300–0.540 mg/kg/person/day. A reliable analytical method is required to ensure that phytopharmaceutical preparation is safe. This study developed and validated a piperine analysis method using phytopharmaceutical samples containing Cabe Jawa. A Shimadzu prominence HPLC SIL-20A Prominence autosampler and an X-Bridge C18 column (5 m x 250 mm x 4.6 mm) were used in the research devices. The OFAT method optimised the mobile phase, instrument systems, and sample preparation. The instrument system was optimized for acetonitrile:1% glacial acetic acid (48:52), 40°C, and a 1 mL/min flow rate. Each solid and liquid sample was prepared using the multilevel methanol dilution and water-dichloromethane liquid-liquid extraction (LLE) method. The results of validating the analytical procedures for solid and liquid samples were LOD and LOQ of 1.290 g/mL and 4.300 g/mL, 1.310 g/mL and 4 g/mL, respectively. Precision: 0.157% and 1.174%. Accuracy for three different concentrations were 94.232±1.050%, 95.387%±0.176%, and 96.272±1.043%; 88.801±0.428%, 89.473 ±0.252%, and 89.338 ±0.052% respectively. The analysis of the sample's piperine revealed that this method met the criteria for the validation parameters.