WFRF:(Damiati Samar)
Sökning: WFRF:(Damiati Samar) > Microfluidic Synthe...
- Damiati, Safa A.King Abdulaziz Univ, Fac Pharm, Dept Pharmaceut, Jeddah, Saudi Arabia. (författare)
Microfluidic Synthesis of Indomethacin-Loaded PLGA Microparticles Optimized by Machine Learning
- Artikel/kapitelEngelska2021
Förlag, utgivningsår, omfång ...
- 2021-09-22
- Frontiers Media SA,2021
- printrdacarrier
Nummerbeteckningar
- LIBRIS-ID:oai:DiVA.org:kth-303895
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303895URI
- https://doi.org/10.3389/fmolb.2021.677547DOI
Kompletterande språkuppgifter
- Språk:engelska
- Sammanfattning på:engelska
Ingår i deldatabas
- SwePubSwePub
Klassifikation
Anmärkningar
- QC 20211028
- Several attempts have been made to encapsulate indomethacin (IND), to control its sustained release and reduce its side effects. To develop a successful formulation, drug release from a polymeric matrix and subsequent biodegradation need to be achieved. In this study, we focus on combining microfluidic and artificial intelligence (AI) technologies, alongside using biomaterials, to generate drug-loaded polymeric microparticles (MPs). Our strategy is based on using Poly (D,L-lactide-co-glycolide) (PLGA) as a biodegradable polymer for the generation of a controlled drug delivery vehicle, with IND as an example of a poorly soluble drug, a 3D flow focusing microfluidic chip as a simple device synthesis particle, and machine learning using artificial neural networks (ANNs) as an in silico tool to generate and predict size-tunable PLGA MPs. The influence of different polymer concentrations and the flow rates of dispersed and continuous phases on PLGA droplet size prediction in a microfluidic platform were assessed. Subsequently, the developed ANN model was utilized as a quick guide to generate PLGA MPs at a desired size. After conditions optimization, IND-loaded PLGA MPs were produced, and showed larger droplet sizes than blank MPs. Further, the proposed microfluidic system is capable of producing monodisperse particles with a well-controllable shape and size. IND-loaded-PLGA MPs exhibited acceptable drug loading and encapsulation efficiency (7.79 and 62.35%, respectively) and showed sustained release, reaching approximately 80% within 9 days. Hence, combining modern technologies of machine learning and microfluidics with biomaterials can be applied to many pharmaceutical applications, as a quick, low cost, and reproducible strategy.
Ämnesord och genrebeteckningar
- MEDICIN OCH HÄLSOVETENSKAP Medicinska och farmaceutiska grundvetenskaper Farmaceutiska vetenskaper hsv//swe
- MEDICAL AND HEALTH SCIENCES Basic Medicine Pharmaceutical Sciences hsv//eng
- microfluidics
- machine learning
- polymeric particles
- PLGA
- pharmaceutics
Biuppslag (personer, institutioner, konferenser, titlar ...)
- Damiati, SamarKTH,Proteinvetenskap,Science for Life Laboratory, SciLifeLab,King Abdulaziz Univ, Fac Sci, Dept Biochem, Jeddah, Saudi Arabia(Swepub:kth)PI000000 (författare)
- King Abdulaziz Univ, Fac Pharm, Dept Pharmaceut, Jeddah, Saudi Arabia.Proteinvetenskap (creator_code:org_t)
Sammanhörande titlar
- Ingår i:Frontiers in Molecular Biosciences: Frontiers Media SA82296-889X
Internetlänk
Hitta via bibliotek
- Frontiers in Molecular Biosciences (Sök värdpublikationen i LIBRIS)
Till lärosätets databas
Hitta mer i SwePub
- Av författaren/redakt...
- Damiati, Safa A.
- Damiati, Samar
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
- MEDICIN OCH HÄLS ...
- och Medicinska och f ...
- och Farmaceutiska ve ...
- Artiklar i publikationen
- Frontiers in Mol ...
- Av lärosätet
- Kungliga Tekniska Högskolan
Sök utanför SwePub
- Sök vidare i:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - Nationella bibliotekssystem
- LIBRIS.kb.se
