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All Journal Indonesian Journal of Pharmaceutical Science and Technology Eduvest - Journal of Universal Studies
Zakaria, Mohamad Rahmatullah
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Aerospace Engineering Computer Science & IT Health Professions Medicine & Pharmacology Neuroscience Social Sciences

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Film Polielektrolit Berbasis Karagenan untuk Luka Bakar Menggunakan Getah Jatropha Curcas Thomas, Nur A.; Zakaria, Mohamad Rahmatullah; Mustapa, Muhammad A.; Maulana, Irvan
Indonesian Journal of Pharmaceutical Science and Technology Vol 11, No 2 (2024)
Publisher : Indonesian Journal of Pharmaceutical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/ijpst.v11i2.39801

Abstract

Luka bakar derajat dua merupakan luka yang sering terjadi akibat kecelakaan dan memiliki nilai mortalitas yang tinggi. Pengembangan pembalut luka bakar primer seperti “film polielektrolit” dapat dilakukan untuk mengontrol pelepasan zat aktif dan menjaga kelembaban luka. Efektivitas film ini dapat ditingkatkan dengan penambahan getah dari tanaman Jarak Pagar (Jatropha curcas) yang secara ilmiah memiliki aktivitas dalam penyembuhan luka seperti Flavonoid, Saponin dan Tanin. Matriks dari Film Polielektrolit memiliki kemampuan yang baik apabila dibentuk dari biopolimer yang biodegredibel dan biokompatibel serta nontoksik seperti Karagenan dan Kitosan. Karagenan diekstrak dari Alga Merah (Eucheuma spinossum) dengan metode maserasi. Karagenan dikombinasikan dengan Kitosan sebagai polimer penyusun film polielektrolit dievaluasi meliputi Uji Organoleptik, Uji Ratio Swelling, dan Uji Fraksi Gel. Formula terbaik di uji iritasi selama 3 x 24 jam dan kemudian diuji efektivitas terhadap 5 kelompok hewan uji mencit dengan perlakuan berbeda yakni PE/JS0 (film polielektrolit); JS5 (getah 5%); JS10 (getah 10%); PE/JS5 (film polielektrolit dengan getah 5%); dan PE/JS10 (film polielektrolit dengan getah 10%). Dimana pengukuran penurunan dievaluasi secara statistik menggunakan metode One Way – Anova (α=0,05). Hasil menunjukan formula PE/JS10 memiliki aktivitas penyembuhan luka sebesar 100% selama 14 hari.
Utilization of Near-Infrared Spectroscopy Combined with PLS-2 Regression Learner to Predict Metformin HCL Tablet Dissolution Profile Zakaria, Mohamad Rahmatullah; Sutriyo, Sutriyo; Hayun, Hayun; Rukmana, Taufiq Indra
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1566

Abstract

One of the assurances of pharmaceutical tablet's quality, effectivity, and safety is the dissolution test, which is commonly known by pharmaceutical manufacturers. Conventionally, this test is performed by simulating the release rate of a drug using a Dissolution Tester, which mimics the human gastrointestinal condition. As stated by the current compendial for tablet dosage form, the dissolution rate is mandatory, with no exception for Metformin HCl tablets. This laboratory method is often time-consuming, unsafe for organic reagent exposure, and produces waste. This problem requires rapid, simple, and nondestructive technologies, hence having powerful analytical performance. One of the technologies that is widely used is Near Infrared (NIR) spectroscopy. This study utilized the NIR spectrum as a predictor to generate a mathematical model using Partial Least Square Regression (PLS-2) to build a dissolution rate model for the Metformin HCl tablet, which uses the Farmakope Indonesia IV <1231> (FI-IV) dissolution method as the compendial reference method. The PLS-2 model was built, which shows the low difference between SEC and SECV in each sampling point and a good correlation in the coefficient of determination (R2) of each point's time of dissolution within 0.900 to 0.953. The challenge test was performed to prove the predictability of the PLS-2 model with NIR against the actual reference FI-IV method using differential and similarity Factors (f2 & f1), enabling real-time release testing (RTRT).
Co-Authors Hayun Hayun, Hayun Maulana, Irvan Mustapa, Muhammad A. Rukmana, Taufiq Indra Sutriyo Sutriyo, Sutriyo Thomas, Nur A.