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Sciences of Pharmacy
Published by ETFLIN
ISSN : 28307046     EISSN : 28307259     DOI : https://doi.org/10.58920/sciphar
Core Subject : Health, Science, Engineering,
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Health Professions Medicine & Pharmacology Public Health
Sciences of Pharmacy (SciPhar) is an international, peer-reviewed open-access journal of pharmacy. We offer a platform and place for researchers and intellectuals, especially the youth, to share their insights and works. Every year, we hold seminars/webinars under the ETFLIN Scientific Society to facilitate the exchange of information concerning pharmacist research progress. Publication on SciPhar is free of charge at any stage. Scope We are accepting articles related to drug development (preclinical and clinical drug development, drug delivery, and pharmaceutical formulation). Fundamental and clinical pharmacology (drug mechanisms, pharmacokinetics, pharmacodynamics, drug metabolism, and pharmacogenetics). Pharmaceuticals (gene-based, cell-based, protein-based therapy, other drug modalities, routes of administration, drug classes, drug nomenclature). Drug toxicity and safety (drug-drug interactions, adverse drug reactions, mechanisms of drug toxicity, pharmacovigilance). Pharmacoepidemiology, pharmacoeconomics, and pharmacy.
Arjuna Subject : Pharmacology, Toxicology and Pharmaceutics - Pharmacology, Toxicology and Pharmaceutics (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Volume 3 Issue 4" : 5 Documents clear
Development of Chitosan-Based Antimicrobial Hydrogel Incorporating Polyvinylpyrrolidone and PHMG Ivanov, Ivan; Shatalov, Denis
Sciences of Pharmacy Volume 3 Issue 4
Publisher : ETFLIN Publishing House

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58920/sciphar0304289

Abstract

This study focuses on the development of a chitosan-based hydrogel incorporating polyvinylpyrrolidone and polyhexamethylene guanidine hydrochloride for the rehabilitation of damaged and contaminated skin. The thermal properties of chitosan-containing films were characterized by measuring the glass transition temperature (Tg) using differential scanning calorimetry. Due to challenges in accurately determining the Tg of chitosan from experimental and literature data, an additional method, dynamic mechanical analysis, was employed. Using the literature value for the Tg of polyhexamethylene guanidine hydrochloride, the transitions of the components were determined. The estimated sorption capacity of the developed hydrogel showed that the inclusion of polyhexamethylene guanidine hydrochloride reduced the moisture content, as expected. However, the overall behavior of the hydrogels remained similar. Vapor permeability, an important factor in wound healing, was also evaluated. Antimicrobial testing revealed no activity for the chitosan control sample despite some reports in the literature, while the samples containing polyhexamethylene guanidine hydrochloride exhibited superior antimicrobial efficacy. These findings suggest that the incorporation of polyhexamethylene guanidine hydrochloride and polyvinylpyrrolidone significantly enhances both the mechanical strength and antimicrobial potential of chitosan-based hydrogels, positioning them as promising candidates for the treatment of contaminated wounds.
Optimization of Cream Formulation with Borneo Tallow Nut, Almond Oil, and Olive Oil Using the Simplex Lattice Design Method Butar-Butar, Maria Elvina Tresia; Taufiqurrahman, Muh; Agus, Adhe Septa Ryant; Sari, Dwi Retno; Selvina, Selvina; Tokan, Santa Eufrasia Carolin
Sciences of Pharmacy Volume 3 Issue 4
Publisher : ETFLIN Publishing House

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58920/sciphar0304260

Abstract

Dry skin, a common dermatological issue affecting individuals across all age groups, often disrupts the skin's protective barrier, leading to discomfort and increased sensitivity. Addressing this condition involves the use of moisturizers, which play a vital role in restoring skin hydration. In this study, a cream preparation was successfully developed using vegetable oils, including Borneo Tallow Nut, Almond Oil, and Olive Oil. The cream formula was optimized using the Design-Expert software with the Simplex Lattice Design (SLD) method to evaluate the impact of different concentrations of these oils on the cream's pH, viscosity, spreadability, and adhesion. The results demonstrated that the cream exhibited excellent thermo-physical stability, with optimum values of Borneo Tallow Nut at 1.349% w/w, Almond Oil at 3.598% w/w, and Olive Oil at 4.051% w/w. The cream achieved a pH value of 5.702, viscosity of 16.851 Cp, spreadability of 8.147 cm, and adhesion of 63.682 s, with a desirability score of 0.718. This research confirms that Borneo Tallow Nut, Olive Oil, and Almond Oil have significant potential as excipients in cream formulations.
Formulation and Characterization of Resveratrol-Loaded Nanostructured Lipid Carriers (NLC) with Mesua ferrea Seed Oil as Liquid Lipid Lahan, Madhuchandra
Sciences of Pharmacy Volume 3 Issue 4
Publisher : ETFLIN Publishing House

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58920/sciphar0304271

Abstract

Nanostructured Lipid Carriers (NLCs) are colloidal drug delivery systems composed of both solid and liquid lipids. They enhance drug loading capacity, regulate the release of poorly water-soluble drugs, and are suitable for targeted delivery. Resveratrol, a polyphenol with promising anticancer properties, faces challenges due to its low water solubility, poor bioavailability, and chemical instability, resulting in rapid metabolism and excretion. Therefore, it is crucial to develop a delivery system that safeguards resveratrol during its transit through the body. This study aimed to develop and characterize resveratrol-loaded NLCs using the nano-precipitation method followed by ultrasonication, incorporating Mesua ferrea seed oil as the liquid lipid. The NLCs were evaluated for particle size, morphology (TEM), zeta potential, drug entrapment efficiency, drug loading, and in vitro drug release. The resulting NLCs demonstrated stability and homogeneity, with a particle size of 181.6 ± 12.4 nm, a polydispersity index (PDI) of 0.135 ± 0.09, drug entrapment efficiency of 82.76 ± 12.2%, and drug loading capacity of 42.94 ± 7.5%. They exhibited sustained drug release, achieving 84.56% release within 24 h. These findings suggest that the developed NLCs can effectively enhance the incorporation and controlled release of poorly water-soluble drugs like resveratrol, offering potential advantages over conventional delivery systems.
Druggability of Pharmaceutical Compounds Using Lipinski Rules with Machine Learning Nhlapho, Samukelisiwe; Nyathi, Musawenkosi Hope Lotriet; Ngwenya, Brendeline Linah; Dube, Thabile; Telukdarie, Arnesh; Munien, Inderasan; Vermeulen, Andre; Chude-Okonkwo, Uche A. K
Sciences of Pharmacy Volume 3 Issue 4
Publisher : ETFLIN Publishing House

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58920/sciphar0304264

Abstract

In the field of pharmaceutical research, identifying promising pharmaceutical compounds is a critical challenge. The observance of Lipinski's Rule of Five (RO5) is a fundamental criterion, but evaluating many compounds manually requires significant resources and time. However, the integration of computational techniques in drug discovery in its early stages has significantly transformed the pharmaceutical industry, enabling further efficient screening and selection of possible drug candidates. Therefore, this study explores RO5 using algorithms of Machine Learning (ML), offering a comprehensive method to predict the druggability of pharmaceutical compounds. The study developed, evaluated, and validated the performance metrics of multiple supervised machine learning models. The best model was used to build an application that can predict and classify potential drug candidates. The findings revealed promising capabilities across all models for drug classification. Among all the explored models, Random Forest (RF), Extreme Gradient Boost (XGBoost), and Decision Tree (DT) classifiers demonstrated exceptional performance, achieving near-perfect accuracy of 99.94%, 99.81% and 99.87% respectively. This highlights the robustness of ensemble learning methods in classifying compounds based on RO5 adherence. The comparative analysis of these models underscores the importance of considering balanced accuracy, precision, F1-score, recall, and Receiver Operating Characteristics-Area Under the Curve (ROC-AUC) score, interpretability, and computational efficiency when choosing between ML algorithms in drug discovery. The DrugCheckMaster application was subsequently developed using the most predictive model and is now available on Render (https://capstone-project-dc7w.onrender.com/).
Phytoconstituents and In Vitro Free Radical Scavenging Potential of n-Hexane and Aqueous Fractions of Cucurbita maxima and Leptadenia hastata Dahiru, Mubarak Muhammad; Danga, James; Oni, Abdulhasib Oluwatobi; Zoaka, Hesper Alex; Peter, Rejoice Daniel; Zira, Usanye; Christopher, Patience; Alkasim, Hauwa Yahaya; Zainab, Muhammad
Sciences of Pharmacy Volume 3 Issue 4
Publisher : ETFLIN Publishing House

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58920/sciphar0304265

Abstract

The present study explored the phytoconstituents and radical scavenging activity of the respective n-hexane and aqueous fractions of Cucurbita maxima (CMHF and CMAF) and Leptadenia hastata (LHHF and LHAF) for potential application in oxidative stress-related ailments. The phytoconstituents were qualitatively determined and characterized using Fourier-transform Infrared (FTIR), while the antioxidant activity was determined in vitro. Alkaloids were present in only the aqueous fractions of C. maxima and L. hastata, while saponins, steroids, and flavonoids were detected in all the fractions. The FTIR revealed the presence of functional groups, including alcohols, sulfonates, alkenes, alkanes, amines, and aromatics in both plant fractions. The LHHF (35.53 ±2.11 ascorbic acid (AA) equivalent µg/mL) exhibited a significantly (p<0.05) higher total reducing power (TRP) than all the other fractions. The CMHF (69.11 ±2.56 AAE µg/mL) demonstrated a significantly (p<0.05) higher total antioxidant capacity (TAC) than all the other fractions. For the ferric thiocyanate (FTC) assay, the highest inhibition was exhibited by LHHF (79.78 ± 3.24%), significantly (p<0.05) higher than AA (26.46 ± 2.12%), CMHF (69.77 ± 3.16%), and CMAF (43.80 ± 2.12%). In the thiobarbituric acid assay, the lowest MDA concentration was exhibited by the CMHF (0.07 ±0.01 nmol/mL), significantly (p<0.05) lower than all the other fractions and ascorbic acid. Conclusively, the n-hexane fraction of both plants presents potential sources of novel antioxidant compounds with significant free radical scavenging and anti-lipid peroxidation activities, applicable in ailments linked to oxidative stress.

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