scholarly journals Compatible organic and natural solvent mixture of synthesising biodegradable polymeric nanoparticles

2021 ◽  
Vol 2080 (1) ◽  
pp. 012028
Author(s):  
R. Othman ◽  
G.K. Mun ◽  
N. Sinnathamby ◽  
S. C. B. Gopinanth ◽  
E. Ekanem
Keyword(s):  
Experimental Validation ◽  
Volume Fraction ◽  
Polymeric Nanoparticles ◽  
Volume Ratio ◽  
Solvent Mixture ◽  
Ethyl Lactate ◽  
Solubility Parameters ◽  
Solvent Mixtures ◽  
Hansen Solubility Parameters ◽  
Model Interaction

Abstract The Flory-Huggins model interaction explained the compatibility and extent of polymer dissolution in selected solvent mixtures via Hansen Solubility Parameters (HSP). Metastable zone where nucleation of NPs would start was determined by the solvent mixture – polymer – water interaction. Simulation results explained that the combination of acetone-chloroform (0.20:0.80) was better than acetone-ethyl lactate (0.40:0.60) for PCL solvation while ethyl lactate-dimethyl sulfoxide (0.60:0.40) was better for PLA solvation as compared to ethyl lactate-acetone (0.80:0.20). Nanoprecipitation with aqueous to organic volume ratio of 10 was used to prepare the biodegradable PCL nanoparticles for experimental validation. The organic phase was 1 g L−1 PCL in solvents or solvent mixtures and the antisolvent was deionized (DI) water. Scanning Electron Microscope (SEM) and Atomic Force Microscope (AFM) were used to examine the morphology and size of nanoparticles formed. Results showed that the acetone-chloroform with volume fraction of 0.20 to 0.80 was the best solvent mixture for PCL in producing NPs with the mean size less than 100 nm. Solvent mixture proved by numerical simulation and experimental validation, able to enhance the affinity of polymer (PCL or PLA) for water to produce nanoparticles with much smaller size.

Finding Solvent for Polyamide 11 Using a Computer Software

2020 ◽  
Vol 234 (3) ◽  
pp. 517-529 ◽  
Author(s):  
Mostafa Jabbari ◽  
Magnus Lundin ◽  
Saeed Bahadorikhalili ◽  
Mikael Skrifvars ◽  
Mohammad J. Taherzadeh
Keyword(s):  
Numerical Model ◽  
Computer Software ◽  
Solvent Mixture ◽  
Solubility Parameters ◽  
Solvent Mixtures ◽  
Hansen Solubility Parameters ◽  
Polyamide 11 ◽  
Repetitive Process ◽  
Computer Aided ◽  
Hansen Solubility

AbstractThe solvent finding step has always been a time-consuming job in chemical-involved processes. The source of difficulty mainly comes from the trial-and-errors, as a repetitive process of chosing solvents and mixing them in different proportions. Computers are good at doing repetitive processes; however, they can only deal with numerical values, rather than qulitative scales. Numerification of qualitative parameters (like solubility) has already been introduced. The most recent one is the Hansen solubility parameters (HSPs). Using the HSPs could provide a solvent or solvent-mixture. In our previous study, we introduced a computer-aided model and a software to find a solvent mixture. In this study, we have used the computer-aided solvent selection model to find some solvent mixtures for polyamide 11, a biobased polymer which has attracted enormous attention recently. Using this numerical model significantly diminished the time of solvent development experimentation by decreasing the possible/necessary trials.

scholarly journals Towards Polymeric Nanoparticles with Multiple Magnetic Patches

Nanomaterials ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 147
Author(s):  
Elham Yammine ◽  
Laurent Adumeau ◽  
Maher Abboud ◽  
Stéphane Mornet ◽  
Michel Nakhl ◽  
...  
Keyword(s):  
Self Assembly ◽  
Polymeric Nanoparticles ◽  
Volume Ratio ◽  
Building Blocks ◽  
Solvent Mixture ◽  
Simple Strategy ◽  
Patchy Particles ◽  
Optimal Surface ◽  
Magnetic Silica ◽  
Silica Encapsulation

Fabricating future materials by self-assembly of nano-building blocks programmed to generate specific lattices is among the most challenging goals of nanotechnology and has led to the recent concept of patchy particles. We report here a simple strategy to fabricate polystyrene nanoparticles with several silica patches based on the solvent-induced self-assembly of silica/polystyrene monopods. The latter are obtained with morphological yields as high as 99% by seed-growth emulsion polymerization of styrene in the presence of 100 nm silica seeds previously modified with an optimal surface density of methacryloxymethyl groups. In addition, we fabricate “magnetic” silica seeds by silica encapsulation of preformed maghemite supraparticles. The polystyrene pod, i.e., surface nodule, serves as a sticky point when the monopods are incubated in a bad/good solvent mixture for polystyrene, e.g., ethanol/tetrahydrofuran mixtures. After self-assembly, mixtures of particles with two, three, four silica or magnetic silica patches are mainly obtained. The influence of experimental parameters such as the ethanol/tetrahydrofuran volume ratio, monopod concentration and incubation time is studied. Further developments would consist of obtaining pure batches by centrifugal sorting and optimizing the relative position of the patches in conventional repulsion figures.

scholarly journals Increasing the Prediction Efficiency of Hansen Solubility Parameters in Supercritical Fluids

2019 ◽  
Vol 63 (2) ◽  
pp. 286-293
Author(s):  
Csaba Dezső András ◽  
László Mátyás ◽  
Botond Ráduly ◽  
Rozália Veronika Salamon
Keyword(s):  
Coordinate System ◽  
Physical Meaning ◽  
Three Dimensional ◽  
Predictive Ability ◽  
Solubility Parameters ◽  
Solvent Mixtures ◽  
Cohesion Energy ◽  
Hansen Solubility Parameters ◽  
Cartesian Coordinate ◽  
Hansen Parameters

This work describes a simplified method developed for calculating the Hansen parameters (HSPs) for scCO2-polar modifier solvent mixtures. The method consists in fitting 2nd order equations on the calculated values of HSPs of pure components in function of pressure and temperature. It has been proved that these equations are suitable for the characterization of the above system. The current work also proposes a modified representation method, which eliminates the shortcomings of the original ternary Teas diagram, normally used for the representation of the Hansen parameters. On the one hand, the Teas diagram uses quantities without any physical meaning and, on the other hand, the illustration of the solubility information is distorted because it does not take into account the differences of the Hildebrand parameters of different solvents. The factors we have chosen to represent on the ternary diagram possess physical meaning (cohesion energy density partitions). The distortion was eliminated by extending the Teas diagram to a prismatic three dimensional representation. We proved that the Hansen-ellipsoid from the Cartesian coordinate system (dd = f (δH, dp)) is transformed in an ellipsoid also in the new coordinate system (the transformation is pseudo-isomorphic). Nonetheless, the suggested corrections improve the accuracy of the Hansen method, in some cases the interactions between the solvents and the dissolved materials are still not predicted with sufficient accuracy. Most probably a thermodynamic-based correction of the values of the HSPs of small molecules could lead to a significant improvement of the predictive ability of the newly developed method.

scholarly journals Optimization of All-Polymer Optical Fiber Oxygen Sensors with Antenna Dyes and Improved Solvent Selection Using Hansen Solubility Parameters

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 5
Author(s):  
Rune Inglev ◽  
Emil Møller ◽  
Jonas Højgaard ◽  
Ole Bang ◽  
Jakob Janting
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensor ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Solvent Mixture ◽  
Solubility Parameters ◽  
Hansen Solubility Parameters ◽  
Polymer Optical Fiber ◽  
Sensing Matrix ◽  
Hansen Solubility

We present an all-polymer optical fiber sensor for the sensing of dissolved oxygen by phase-fluorometry. The sensing matrix is applied as a film on the fiber end-surface, and consists of poly-methylmethacrylate (PMMA), the oxygen quenchable luminophore platinum-octaethylporphyrin (PtOEP) and the luminophore coumarin 545T for increasing the brightness of PtOEP by way of resonance energy transfer (RET), also called light harvesting. We show that by using Hansen Solubility Parameters (HSPs), it is possible to quantitatively formulate a solvent mixture with a good solubility of the polymer matrix and the luminophores simultaneously. Our approach can readily be extended to other polymers and luminophores and is therefore a valuable tool for researchers working with photoluminescence and polymeric matrices.

scholarly journals Study of Solvent Mixture of Aqua destillata–Acetone in the Making of Cellulose Propionate Membrane

2018 ◽  
Vol 3 (2) ◽  
pp. 109
Author(s):  
Budi Kamulyan ◽  
Uswatun Hasanah ◽  
Febrian Matulesi
Keyword(s):  
Cellulose Acetate ◽  
Volume Ratio ◽  
Solvent Mixture ◽  
Solubility Parameters ◽  
Solubility Test ◽  
Membrane Characterization ◽  
Membrane Density ◽  
Cellulose Propionate

<p>In this article we will discuss the solubility test of cellulose propionate on various ratio variations of aqua destillata–acetone. Previously cellulose propionate was dispersed into a solvent mixture of aqua destillata-acetone. Variation in volume ratio of aqua destillata–acetone was 4: 1; 3: 1; 2: 1; 1: 2; 1: 3, and 1: 4. The mixture is stirred for 48 h and filtered. The solid was then put into a mold with a sintering technique at a temperature of 100<sup>o</sup>C for 5-10 minutes. Membrane characterization includes solubility parameters (δ<sub>mix</sub>), density using picno meter and calculation of sample dimensions, and swelling index. The results of the calculation of solubility parameters (δ<sub>mix</sub>) solvent mixture of aqua destillata–acetone (1: 4) close to δ cellulose acetate (12.47). Differences in membrane density using picno meter and calculations in dimensions indicate the presence of cavities or pores in the membrane. Difference in density value of both calculations occurs in the membrane with a mixture of aqua destillata–acetone (1: 3). The highest hydrophobicity properties were obtained in the ratio of solvents of destillata–acetone (1: 4) with the smallest swelling index (48.14%).</p>

Novel Applications of Nanotechnology in Controlling HIV and HSV Infections

2020 ◽  
Vol 12 ◽  
Author(s):  
Sai Akilesh M ◽  
Ashish Wadhwani
Keyword(s):  
Drug Delivery ◽  
Viral Infections ◽  
Polymeric Nanoparticles ◽  
Volume Ratio ◽  
Fold Increase ◽  
Multi Drug Resistance ◽  
Health Crisis ◽  
Pharmaceutical Properties ◽  
Simplex Virus ◽  
The Impact

: Infectious diseases have been prevalent since many decades and viral pathogens have caused global health crisis and economic meltdown on a devastating scale. High occurrence of newer viral infections in the recent years, in spite of the progress achieved in the field of pharmaceutical sciences defines the critical need for newer and more effective antiviral therapies and diagnostics. The incidence of multi-drug resistance and adverse effects due to the prolonged use of anti-viral therapy is also a major concern. Nanotechnology offers a cutting edge platform for the development of novel compounds and formulations for biomedical applications. The unique properties of nano-based materials can be attributed to the multi-fold increase in the surface to volume ratio at the nano-scale, tunable surface properties of charge and chemical moieties. Idealistic pharmaceutical properties such as increased bioavailability and retention times, lower toxicity profiles, sustained release formulations, lower dosage forms and most importantly, targeted drug delivery can be achieved through the approach of nanotechnology. The extensively researched nano-based materials are metal and polymeric nanoparticles, dendrimers and micelles, nano-drug delivery vesicles, liposomes and lipid based nanoparticles. In this review article, the impact of nanotechnology on the treatment of Human Immunodeficiency Virus (HIV) and Herpes Simplex Virus (HSV) viral infections during the last decade are outlined.

Measurement of Hansen Solubility Parameters of Third-Degree Burn Eschar

Burns ◽  
2021 ◽  
Author(s):  
Maryam Hosseini ◽  
Michael S. Roberts ◽  
Reza Aboofazeli ◽  
Hamid R. Moghimi
Keyword(s):  
Solubility Parameters ◽  
Hansen Solubility Parameters ◽  
Degree Burn ◽  
Hansen Solubility
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