
Sciences of Pharmacy
Volume 3 Issue 4
Showing 5 Articles
RESEARCH ARTICLE
research articleOptimization of Cream Formulation with Borneo Tallow Nut, Almond Oil, and Olive Oil Using the Simplex Lattice Design Method
Maria Elvina Tresia Butar-Butar, Muh Taufiqurrahman, Adhe Septa Ryant Agus, Dwi Retno Sari, Selvina Selvina, Santa Eufrasia Carolin Tokan
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.
Sciences of Pharmacy
17 Dec 20248 pages- research article
Druggability of Pharmaceutical Compounds Using Lipinski Rules with Machine Learning
Samukelisiwe Nhlapho, Musawenkosi Hope Lotriet Nyathi, Brendeline Linah Ngwenya, Thabile Dube, Arnesh Telukdarie, Inderasan Munien, Andre Vermeulen, Uche A. K Chude-Okonkwo
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/).
Sciences of Pharmacy
11 Nov 202416 pages - research article
Phytoconstituents and In Vitro Free Radical Scavenging Potential of n-Hexane and Aqueous Fractions of Cucurbita maxima and Leptadenia hastata
Mubarak Muhammad Dahiru, James Danga, Abdulhasib Oluwatobi Oni, Hesper Alex Zoaka, Rejoice Daniel Peter, Usanye Zira, Patience Christopher, Hauwa Yahaya Alkasim, Muhammad Zainab
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.
Sciences of Pharmacy
11 Nov 202410 pages - research article
Formulation and Characterization of Resveratrol-Loaded Nanostructured Lipid Carriers (NLC) with Mesua ferrea Seed Oil as Liquid Lipid
Madhuchandra Lahan
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.
Sciences of Pharmacy
11 Dec 20249 pages
research articleDevelopment of Chitosan-Based Antimicrobial Hydrogel Incorporating Polyvinylpyrrolidone and PHMG
Ivan Ivanov, Denis Shatalov
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.
Sciences of Pharmacy
27 Dec 202410 pages
Journal Key Facts
Publishing Fee (APC)
IDR 1,100,000
Open Access License
CC BY 4.0
Language
English
Overview
Sciences of Pharmacy (SciPhar) is an international, peer-reviewed open-access journal of pharmacy published by ETFLIN. We offer a platform and place for researchers and intellectuals, especially the youth, to share their insights and works. SciPhar accepts original article, reviews, mini-review, book-review, technical note, case report, case series, clinical trial, opinion/perspective, conference proceeding, and pictorial essay. Author may submit or suggest another type of scientific manuscript. Sciphar publishes 4 issues a year. Sciences of Pharmacy is affiliated with Faculty of Pharmacy, Universitas Islam Sultan Agung.
Latest Articles
Recently published research articles, review papers, and technical notes from the current volume of the journal.
- review
Genetic Polymorphism of N-acetyltransferase 2 (NAT2) among Patients with Tuberculosis: A Scoping Review of the Indonesian Studies
Oki Nugraha Putra, Sylvia Rizki Ramadhani, Yulistiani Yulistiani, Julaeha Julaeha, Affan Yuniar Nur Hidayatullah
The distribution of N-acetyltransferase-2 (NAT2) genetic polymorphisms varies across ethnic groups among Indonesian TB patients. This review aimed to provide a comprehensive understanding of the prevalence of NAT2 genetic polymorphisms and their association with DILI and isoniazid pharmacokinetics in Indonesian TB patients. A scoping review was conducted by searching Google Scholar, Scopus, and PubMed in accordance with PRISMA guidelines for scoping review (PRISMA-ScR). We retrieved 668 studies from three databases and we enrolled 12 studies for final analysis. Eleven studies reported on adult TB patients and one study on pediatric TB patients. Overall, the available evidence suggests that the slow acetylator phenotype is relatively common among TB patients in Indonesia, although its distribution varies across regions and ethnic groups. The NAT2*6 polymorphism was frequently observed among TB patients with a slow acetylator phenotype. TB patients with slow acetylation exhibited higher serum concentrations of isoniazid, which were significantly associated with an increased risk of DILI. No studies reported an association between NAT2 genetic polymorphisms or acetylation status and treatment outcomes among TB patients. This review confirms substantial variation in NAT2 genetic polymorphisms across studies in Indonesia. TB patients with a slow acetylator phenotype appear to have a greater risk of developing DILI compared with those with intermediate or fast acetylator phenotypes. Information on acetylator status may identify patients at higher risk of hepatotoxicity, particularly those with the slow acetylator phenotype. Therefore, integrating NAT2 pharmacogenetics into clinical practice may predict hepatotoxicity and optimize tuberculosis therapy.
Sciences of Pharmacy
21 Apr 20269 pages - research article
Green-Synthesized Silver Nanoparticles Using Erythrina subumbrans Leaf Extract: Optimization and Antibacterial Activity
Indri Maharini, Karen Putri Utami, Lilis Rachmawati, Fitrianingsih Fitrianingsih, Puspa Dwi Pratiwi
The high prevalence of acne and increasing antibiotic resistance necessitate the development of sustainable antimicrobial agents. This study investigated the green synthesis of silver nanoparticles (AgNPs) using Erythrina subumbrans (Hassk.) Merr. leaf extract as a natural bioreductant and stabilizer. The primary objective was to optimize the synthesis process and evaluate the antibacterial efficacy of the resulting nanoparticles specifically against Propionibacterium acnes. Physicochemical and structural characterization were performed using spectroscopic and microscopic techniques to confirm the formation and stability of the nanoparticles. The results successfully demonstrated the synthesis of crystalline, nanoscale AgNPs with plant-derived functional groups facilitating their stabilization. Analytical data indicated a relatively uniform particle size distribution, spherical morphology, and favorable surface characteristics, suggesting high suitability for biomedical integration. Significantly, the synthesized AgNPs exhibited potent antibacterial activity against P. acnes. The underlying mechanism of action is attributed to the disruption of bacterial cell membranes, induction of intracellular reactive oxygen species, and subsequent interference with vital cellular functions. Utilizing E. subumbrans extract offers an eco-friendly, cost-effective, and sustainable alternative to conventional chemical synthesis, reducing the reliance on toxic reagents. These findings highlight the significant potential of plant-mediated AgNPs as innovative antimicrobial agents for dermatological applications. This research provides a robust foundation for the advancement of nanotechnology-based topical treatments. Consequently, further investigation into pharmaceutical formulation development, comprehensive safety assessments, and clinical efficacy trials is highly recommended to establish E. subumbrans-mediated silver nanoparticles as viable therapeutic solutions for managing acne and other skin-related infections in the future.
Sciences of Pharmacy
21 Apr 202611 pages - research article
Analysis of Psychotropic Drug Utilization in Patients With Organic Mental Disorders
Yuliawati Yuliawati, Indah Sri Wulan Sofyan, Nurul Kamilah Sadli, Fathnur Sani Kasmadi
Organic mental disorders are psychiatric conditions caused by identifiable brain pathology or specific systemic diseases, characterized by psychotic, affective, anxiety, and cognitive symptoms that can impair daily functioning. Psychotropic medications play a central role in their management; however, data on utilization patterns, particularly among outpatients in regional psychiatric hospitals, remain limited. This study aimed to quantitatively evaluate the use of psychotropic drugs using the Anatomical Therapeutic Chemical/Defined Daily Dose (ATC/DDD) method recommended by the World Health Organization, and to identify drugs within the Drug Utilization 90% (DU90%) segment to support rational drug use. This retrospective descriptive study utilized secondary data from medical records of outpatients diagnosed with organic mental disorders at Kolonel H. M. Syukur Regional Psychiatric Hospital, Jambi, in 2024, with a total sampling of 100 patients. The results showed that the total psychotropic drug utilization was 9.89 DDD per patient per day. Antipsychotics were the most frequently used class, followed by antidepressants and anxiolytics. The DU90% segment consisted of eleven drugs, predominantly atypical antipsychotics, selective serotonin reuptake inhibitors (SSRIs), and benzodiazepines, with olanzapine, escitalopram, fluoxetine, and alprazolam being the most commonly prescribed. Most patients were male, in the productive age group, and diagnosed with unspecified organic mental disorders. Overall, the pattern of psychotropic drug utilization reflects the complexity of clinical manifestations in organic mental disorders and underscores the importance of monitoring drug use to promote rational prescribing practices in clinical settings.
Sciences of Pharmacy
9 Apr 202611 pages - research article
Association Between Medication Adherence and Quality of Life Among Tuberculosis Patients: A Study at Permata Kuningan Hospital
Wawang Anwarudin , Salwa Diana Hanum, Liska Marlindasari, Anna Khalida Sya'bany, Nur Azizah
Tuberculosis (TB) remains a major global health concern, particularly in high-burden countries such as Indonesia. Although TB is curable, prolonged therapy, potential adverse effects, and social stigma may affect medication adherence and patients’ quality of life (QoL). Evaluating the association between adherence and QoL is important to support patient-centered TB management. This study aimed to examine the association between medication adherence and quality of life among tuberculosis patients at Permata Kuningan Hospital. A cross-sectional analytic study was conducted involving 62 TB patients selected through purposive sampling. Medication adherence was assessed using the Morisky Medication Adherence Scale (MMAS-8), and quality of life was measured using the EQ-5D-5L instrument. Data were analyzed using Spearman rank correlation. Most patients demonstrated high adherence (95.2%) and reported good quality of life (96.8%). Statistical analysis showed a significant positive correlation between medication adherence and quality of life (r = 0.384; p = 0.002), indicating that higher adherence was associated with better quality of life. These findings suggest a significant association between medication adherence and quality of life among TB patients. Strategies to support adherence, including education, counseling, and monitoring, may be considered as part of comprehensive TB care to optimize patient-centered outcomes.
Sciences of Pharmacy
6 Mar 20265 pages - research article
Effect of Tween 80 and Span 80 Surfactants Systems on the Malus domestica Emulsions for Anti-Cutibacterium acnes
Theodorus Rexa Handoyo, Juniar Kalpika Resmi, Rahmi Hutabarat, Yovi Guanse
Red apple (Malus domestica) extract, rich in hydrophobic quercetin, was formulated into oil-in-water (O/W) emulsion using a 22 factorial design to evaluate Tween 80 (8-10 g) and Span 80 (2-4 g) concentrations, targeting pH (4.5-6.0), transmittance (90-100%), and viscosity (10-2000 cPs). Design-Expert® 13 analysis identified formulations F1, FA, and FAB within acceptable physical property ranges, with all red apple emulsions exhibiting O/W type, skin-compatible pH (5.20-5.48), high transmittance, and suitable viscosity. Freeze-thaw cycling (3 cycles, -15/25°C) and centrifugation showed physical stability with non-significant changes for F1 (p > 0.05). The agar well diffusion assay was performed on F1 (n = 3), which exhibited optimal physical parameters and met stability criteria, revealing Cutibacterium acnes inhibition zones up to 22.7 ± 0.577 mm. Thus, F1 emerges as a promising nanoemulsion candidate demonstrating antibacterial activity against acne-causing bacteria.
Sciences of Pharmacy
16 Feb 20268 pages


