scholarly journals Preparation of polymeric particles in CO2 medium using non-toxic solvents: discussions on the mechanism of particle formation

2015 ◽  
Vol 3 (8) ◽  
pp. 1573-1582 ◽  
Author(s):  
My-Kien Tran ◽  
Amin Swed ◽  
Brice Calvignac ◽  
Kim-Ngan Dang ◽  
Leila N. Hassani ◽  
...  
Keyword(s):  
Extraction Method ◽  
Particle Formation ◽  
Protein Encapsulation ◽  
Polymeric Particles ◽  
Plga Microparticles

Development of a novel and effective process for protein encapsulation into PLGA microparticles by the emulsification–extraction method in CO2 medium using non-toxic solvents.

scholarly journals Artificial intelligence application for rapid fabrication of size-tunable PLGA microparticles in microfluidics

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Safa A. Damiati ◽  
Damiano Rossi ◽  
Haakan N. Joensson ◽  
Samar Damiati
Keyword(s):  
Artificial Intelligence ◽  
Learning Technology ◽  
Particle Sizes ◽  
Ann Model ◽  
Microfluidic Systems ◽  
Polymeric Particles ◽  
Plga Microparticles ◽  
Key Factor ◽  
Ann Models ◽  
Artificial Neural Network Ann

Abstract In this study, synthetic polymeric particles were effectively fabricated by combining modern technologies of artificial intelligence (AI) and microfluidics. Because size uniformity is a key factor that significantly influences the stability of polymeric particles, therefore, this work aimed to establish a new AI application using machine learning technology for prediction of the size of poly(d,l-lactide-co-glycolide) (PLGA) microparticles produced by diverse microfluidic systems either in the form of single or multiple particles. Experimentally, the most effective factors for tuning droplet/particle sizes are PLGA concentrations and the flow rates of dispersed and aqueous phases in microfluidics. These factors were utilized to develop five different and simple in structure artificial neural network (ANN) models that are capable of predicting PLGA particle sizes produced by different microfluidic systems either individually or jointly merged. The systematic development of ANN models allowed ultimate construction of a single in silico model which consists of data for three different microfluidic systems. This ANN model eventually allowed rapid prediction of particle sizes produced using various microfluidic systems. This AI application offers a new platform for further rapid and economical exploration of polymer particles production in defined sizes for various applications including biomimetic studies, biomedicine, and pharmaceutics.

The Influence of Process Parameters on the Properties of PLGA-Microparticles Produced by the Emulsion Extraction Method

AIChE Journal ◽  
2012 ◽  
Vol 59 (6) ◽  
pp. 1868-1881 ◽  
Author(s):  
Nikolett Kiss ◽  
Günter Brenn ◽  
Daniele Suzzi ◽  
Stefan Scheler ◽  
Herwig Jennewein ◽  
...  
Keyword(s):  
Process Parameters ◽  
Extraction Method ◽  
Influence Of Process Parameters ◽  
Plga Microparticles

Critical Solvent Properties Affecting the Particle Formation Process and Characteristics of Celecoxib-Loaded PLGA Microparticles via Spray-Drying

2012 ◽  
Vol 30 (4) ◽  
pp. 1065-1076 ◽  
Author(s):  
Feng Wan ◽  
Adam Bohr ◽  
Morten Jonas Maltesen ◽  
Simon Bjerregaard ◽  
Camilla Foged ◽  
...  
Keyword(s):  
Spray Drying ◽  
Formation Process ◽  
Particle Formation ◽  
Plga Microparticles ◽  
Solvent Properties

Evaluation of the dark field method for large association of spread DNA

1978 ◽  
Vol 36 (2) ◽  
pp. 190-191
Author(s):  
Douglas C. Barker
Keyword(s):  
Electron Microscopy ◽  
Molecular Weight ◽  
Mitochondrial Dna ◽  
Extraction Method ◽  
Field Method ◽  
Dark Field ◽  
Kinetoplast Dna ◽  
Field Electron ◽  
Field Electron Microscopy ◽  
Dark Field Electron

A number of satisfactory methods are available for the electron microscopy of nicleic acids. These methods concentrated on fragments of nuclear, viral and mitochondrial DNA less than 50 megadaltons, on denaturation and heteroduplex mapping (Davies et al 1971) or on the interaction between proteins and DNA (Brack and Delain 1975). Less attention has been paid to the experimental criteria necessary for spreading and visualisation by dark field electron microscopy of large intact issociations of DNA. This communication will report on those criteria in relation to the ultrastructure of the (approx. 1 x 10-14g) DNA component of the kinetoplast from Trypanosomes. An extraction method has been developed to eliminate native endonucleases and nuclear contamination and to isolate the kinetoplast DNA (KDNA) as a compact network of high molecular weight. In collaboration with Dr. Ch. Brack (Basel [nstitute of Immunology), we studied the conditions necessary to prepare this KDNA Tor dark field electron microscopy using the microdrop spreading technique.

Chemical composition of aerosol during particle formation events in boreal forest

Tellus B ◽  
2001 ◽  
Vol 53 (4) ◽  
pp. 380-393 ◽  
Author(s):  
J. M. MÄKELÄ ◽  
S. YLI‐KOIVISTO ◽  
V. HILTUNEN ◽  
W. SEIDL ◽  
E. SWIETLICKI ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Boreal Forest ◽  
Particle Formation

High throughput semi-automated extraction method for the creation of a collection from microbial fermentations of fungi and Actinomycetes

Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
JR Tormo ◽  
N Tabanera ◽  
D Conway ◽  
P Ramos ◽  
A Redondo ◽  
...  
Keyword(s):  
High Throughput ◽  
Extraction Method ◽  
Automated Extraction ◽  
The Creation

Verification of Protein Extraction Method by Magneto-Ferrite Treatment with EDS Analysis

2020 ◽  
Vol 140 (2) ◽  
pp. 128-129
Author(s):  
Suguru Kotani ◽  
Masaya Endo ◽  
Mahmudul Kabir ◽  
Kazutaka Mitobe
Keyword(s):  
Extraction Method ◽  
Protein Extraction ◽  
Eds Analysis
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