Performance of Graphene Oxide/SiO2 Nanocomposite-based: Antibacterial Activity, Dye and Heavy Metal Removal

Supercritical carbon dioxide utilization in drug delivery:Experimental study and modeling of paracetamol solubility.

Increasing Solubility of Phenytoin and Raloxifene Drugs: Application of Supercritical CO2 Technology

In this communication, micronized acetaminophen particles are investigated using the rapid expansion of the supercritical solution (RESS) process. According to the obtained results, the largest acetaminophen particle size was ≤ 40 nm with spherical and quasi-spherical morphology in comparison with unprocessed particles with needle shape and mean particle size of 80.32 µm. The effect of extraction pressure and temperature, pre-expansion temperature, and spaying distance on the acetaminophen particle size and morphology were studied. The results indicated that increases in the extraction pressure and temperature led to decreases acetaminophen particle size but increasing pre-expansion temperature and spaying distance had opposite effects. To investigate particle formation through the RESS process with more details, velocity, pressure, density, and temperature behavior of the supercritical solution and acetaminophen solubility in supercritical CO2 was modeled. Ultimately, the population balance equation was solved based on the moment method and acetaminophen particle size distribution was predicted and the influence of coagulation phenomenon as a remarkable mechanism on particle size distribution was investigated.

Particle size design of acetaminophen using supercritical carbon dioxide to improve drug delivery: Experimental and modeling

Fexofenadine hydrochloride is an antihistamine drug which is used in the treatment of allergy symptoms, like urticaria and hay fever. In this research, the solubility of fexofenadine hydrochloride was measured in supercritical carbon dioxide (SC-CO2) at different pressures (120 to 270 bar) and temperatures (308.2 to 338.2 K), for the first time. The solubility data were in the range of 0.073 < y×104 < 0.854. The experimental data on the solubility of fexofenadine hydrochloride were correlated by two approaches: (1) three cubic equations of state (CEoSs) with two mixing rules, and (2) nine density-based correlations with 3-6 adjustable parameters. Among CEoS, Peng-Robinson EoS with Kwak-Mansoori mixing rule, showed more accuracy, especially at higher pressures with an average absolute relative deviation percent (AARD%) of 5.48. Moreover, Garlapati and Madras (model I) with AARD% of 5.65 showed more accurate correlation compared to density-based models. Finally, total, vaporization, and solvation enthalpies of the fexofenadine hydrochloride-CO2 system were calculated to be 39.5759, 52.4635, and -12.8876 kJ.mol−1, respectively. 

Experimental solubility of fexofenadine hydrochloride (antihistamine) drug in SC-CO2: Evaluation of cubic equations of state

Ionic liquid excess molar volume prediction: A conceptual comparison

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Sasan Dan

Author Tools

Chat about Author

Papers

Ionic liquid excess molar volume prediction: A conceptual comparison