The use of artificial neural networks for optimizing polydispersity index (PDI) in nanoprecipitation process of acetaminophen in microfluidic devices

AAPS PharmSciTech

Volumn 13, Issue 4, 2012, Pages 1293-1301

  Aghajani, Mahdi ^a,b   Shahverdi, Ahmad Reza ^a   Amani, Amir ^a  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b BUSHEHR UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

acetaminophen; artificial neural networks; microfluidic devices; nanoprecipitation; nanosuspension; polydispersity index

Indexed keywords

PARACETAMOL; SOLVENT; SURFACTANT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (PARAMETERS); DYNAMIC LIGHT SCATTERING; FLOW RATE; LIGHT SCATTERING; MICROFLUIDICS; NANOPRECIPITATION; NANOSUSPENSION; PHYSICAL PARAMETERS; POLYDISPERSITY INDEX; PRECIPITATION; PRIORITY JOURNAL; RESPONSE SURFACE METHOD; SUSPENSION; TEMPERATURE;

ACETAMINOPHEN; CHEMICAL PRECIPITATION; CHEMISTRY, PHARMACEUTICAL; MICROFLUIDIC ANALYTICAL TECHNIQUES; NANOPARTICLES; NANOTECHNOLOGY; NEURAL NETWORKS (COMPUTER); PARTICLE SIZE; SOLVENTS; SUSPENSIONS; TEMPERATURE;

EID: 84871646482     PISSN: None     EISSN: 15309932     Source Type: Journal    
DOI: 10.1208/s12249-012-9859-3     Document Type: Article

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