The solubility parameter for biomedical polymers—Application of inverse gas chromatography

Adamska, Katarzyna; Voelkel, Adam; Berlińska, A.

doi:10.1016/j.jpba.2016.04.014

Cited by 56 publications

(36 citation statements)

References 31 publications

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“…Noteworthy, maximum concentration of iodine in modified PCL scaffold was found larger than one for PLLA scaffold. Taking into account that PCL and PLLA have close solubility parameters [13], it may be concluded that molecular mass of the polymer plays main role in observed process. Thus, PCL was swelled better on the first step of the modification process.…”

Section: Determination Of Iodine Concentrationmentioning

confidence: 98%

A first method for preparation of biodegradable fibrous scaffolds containing iodine on the fibre surfaces

et al. 2018

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Fibrous electrospun scaffolds made of poly(L-lactic acid) (PLLA) and poly(ε-caprolactone) (PCL) were modified with iodine using 'solvent/non-solvent' treatment of the polymer through two-step process. At the first step, the scaffolds were treated with mixture of toluene and ethanol for pre-swelling of the fibre surfaces. Then, treated scaffolds were exposed to iodine vapours to entrap iodine on the polymer surface. Concentration of iodine in obtained materials was measured by means of UV-spectrophotometry. Morphology of the modified scaffolds was characterized by scanning electron microscopy (SEM). Proposed modification had no significant effect on mechanical properties of the scaffolds and their morphologies. Obtained materials demonstrated the E. coli's antimicrobial activity depending on iodine concentration.

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Section: Determination Of Iodine Concentrationmentioning

confidence: 98%

A first method for preparation of biodegradable fibrous scaffolds containing iodine on the fibre surfaces

et al. 2018

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“…Solubility parameter is an important property of a material indicating its compatibility with various solvents. For simple materials, it can be determined by using correlations with various properties like, viscosity, surface tension, refractive index, dipole moment, and so forth, that can be measured easily . For organic materials, solubility parameter can be estimated by group contribution method .…”

Section: Introductionmentioning

confidence: 99%

Solubility parameter estimation and phase inversion modeling of bentonite‐doped polymeric membrane systems

Kurada

Dutta

Jana

et al. 2019

J of Applied Polymer Sci

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Effects of bentonite concentration on morphology and permeation characteristics of bentonite-doped polysulfone membranes were investigated. Solubility sphere for bentonite was constructed to estimate its solubility parameter. Thermodynamic modeling of phase inversion of this system was carried out using Flory-Huggins theory. The trade-off between thermodynamic and kinetic parameters was used to predict the membrane morphology for bentonite concentration varying from 0 to 5 wt %. The porosity of bentonitedoped membranes decreased up to 3 wt % that increased thereafter. Morphological analysis showed dense cross section with finger-like macrovoids at 3 wt % beyond which it changed to honeycomb structure with large circular voids. Permeability of 3 wt % membrane was the lowest (5.6 × 10 −12 m/Pa s) with 95% bovine serum albumin rejection. Contact angle of the membranes decreased from 83 to 66 with bentonite addition making the membrane more hydrophilic.

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“…By calculating the Euclidean distance between two points in the Hansen space, one can evaluate the miscibility of two substances according to the commonly known rule "similia similibus solvuntur." ere are many scientific and industrial fields of Hansen solubility parameters application, including polymer materials, paints, and coatings (e.g., miscibility and solubility [5][6][7][8][9], environmental stress cracking [10,11], adhesion [12], plasticizers compatibility [13], swelling, solvent diffusion, and permeation [14,15], and polymer sensors designing [16], pigments and nanomaterials dispersibility [3,[17][18][19][20]), membrane filtration techniques [21], and pharmaceutics and pharmaceutical technology (e.g., solubility [22][23][24][25][26][27], cocrystal screening [28,29], drug-DNA interaction [30], drug's absorption site prediction [31], skin permeation [32], drug-nail affinity [33], drug-polymer miscibility, and hot-melt extrusion technology [34][35][36][37]).…”

Section: Introductionmentioning

confidence: 99%

Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String

Przybyłek

Jeliński

Cysewski

2019

Journal of Chemistry

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A new method of Hansen solubility parameters (HSPs) prediction was developed by combining the multivariate adaptive regression splines (MARSplines) methodology with a simple multivariable regression involving 1D and 2D PaDEL molecular descriptors. In order to adopt the MARSplines approach to QSPR/QSAR problems, several optimization procedures were proposed and tested. e effectiveness of the obtained models was checked via standard QSPR/QSAR internal validation procedures provided by the QSARINS software and by predicting the solubility classification of polymers and drug-like solid solutes in collections of solvents. By utilizing information derived only from SMILES strings, the obtained models allow for computing all of the three Hansen solubility parameters including dispersion, polarization, and hydrogen bonding. Although several descriptors are required for proper parameters estimation, the proposed procedure is simple and straightforward and does not require a molecular geometry optimization. e obtained HSP values are highly correlated with experimental data, and their application for solving solubility problems leads to essentially the same quality as for the original parameters. Based on provided models, it is possible to characterize any solvent and liquid solute for which HSP data are unavailable.

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The solubility parameter for biomedical polymers—Application of inverse gas chromatography

Cited by 56 publications

References 31 publications

A first method for preparation of biodegradable fibrous scaffolds containing iodine on the fibre surfaces

A first method for preparation of biodegradable fibrous scaffolds containing iodine on the fibre surfaces

Solubility parameter estimation and phase inversion modeling of bentonite‐doped polymeric membrane systems

Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String

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