Acrylic blends based on polyaniline. Factorial design

Pleşu, Nicoleta; Grozav, Ion; Iliescu, Smaranda; Ilia, Gheorghe

doi:10.1016/j.synthmet.2008.11.018

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…The Pareto chart ( Figure 1 ) gives the relative importance of the individual and interaction effects. Student’s t -test was performed to determine whether the calculated effects were significantly different from zero and these values for each effect are shown in Pareto chart by horizontal columns [ 43 ]. For a 95% confidence level and sixteen degrees of freedom t -value is equal to 2.015.…”

Section: Resultsmentioning

confidence: 99%

A Novel Preparation Method for Camptothecin (CPT) Loaded Folic Acid Conjugated Dextran Tumor-Targeted Nanoparticles

Wang

Zhao

et al. 2011

IJMS

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In this study, folic-dextran-camptothecin (Fa-DEX-CPT) tumor-targeted nanoparticles were produced with a supercritical antisolvent (SAS) technique by using dimethyl sulfoxide (DMSO) as a solvent and carbon dioxide as an antisolvent. A factorial design was used to reveal the effect of various process parameters on the mean particle size (MPS) and morphology of the particles formed. Under the optimum operation conditions, Fa-DEX-CPT nanoparticles with a MPS of 182.21 nm were obtained. Drug encapsulation efficiency and loading efficiency were 62.13% and 36.12%, respectively. It was found that the concentrations of the camptothecin (CPT) and dextran solution had a major influence upon morphology and shape of the final product. In addition, the samples were characterized by Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), Differential scanning calorimetry (DSC) and X-ray diffraction (XRD) with the purpose of developing a suitable targeted drug delivery system for cancer chemotherapy.

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Section: Resultsmentioning

confidence: 99%

A Novel Preparation Method for Camptothecin (CPT) Loaded Folic Acid Conjugated Dextran Tumor-Targeted Nanoparticles

Wang

Zhao

et al. 2011

IJMS

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“…Polymers are combined with inorganic fibers , carbon derivatives (nanotubes, graphene, or carbon black) or vegetal fibers to promote improvement in a specific property, such as electrical, mechanical, or thermal ones. An attractive possibility is the combination of reinforced thermoplastic composites with intrinsically conducting polymers (ICP) to combine the electrical and electrochemical properties of the ICP with the good mechanical properties and environmental stability of the thermoplastics.…”

Section: Introductionmentioning

confidence: 99%

Antistatic-reinforced biocomposites of polyamide-6 and polyaniline-coated curauá fibers prepared on a pilot plant scale

et al. 2013

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Curauá fibers were used with success as a reinforcing agent in polyamide‐6, however, for several applications, an antistatic dissipation property is also desirable and the incorporation of an intrinsically conducting polymer is a suitable way to promote this. The novelty of this work is the simultaneous introduction of these two properties, antistatic and reinforcement, using one filler, obtained by depositing polyaniline on the surface of short curauá fibers. Nearly 5–30 wt% of these modified fibers were dispersed by extrusion in polyamide‐6, the composites were injection molded and characterized by electrical, mechanical, morphological, and rheological properties. The tensile strength of the polyamide‐6 composites reinforced with 5 and 30 wt% of polyaniline coated curauá fibers, was 56% higher and 23% lower than the values obtained for pure polyamide‐6, respectively. Also, the composite reinforced with 5 wt% of fibers, when processed with lower shearing rates, showed conductivity in the range of antistatic materials, 4 μS cm−1. Scanning electronic microscopy and infrared spectroscopy showed an improvement in interfacial adhesion in PA‐6/CF‐PAni composites. The composite prepared with 5 wt% of polyaniline coated curauá fibers gave the best balance between the electrical and the mechanical properties. Extrusion and injection molding methods used here are suitable for continuous large scale production. POLYM. COMPOS., 34:1081–1090, 2013. © 2013 Society of Plastics Engineers

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“…Factorial design is commonly used to determine the influence of different factors in a system or procedure. Basically, factorial design is satisfactory to estimate linear response surface with a very low number of experimental runs (Plesu et al 2009;Simate et al 2009;Wahdame et al 2009). If the linear DOE model can adequately represent the relationship between the parameters and response and capture the optimal value of the response, the factorial design will be the most efficient method for optimization.…”

Section: Linear Parameterizationmentioning

confidence: 99%

A design of experiment aided sensitivity analysis and parameterization for hydrological modeling

2012

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To provide a better understanding of the water balance in the Deer River watershed of the Hudson Bay lowlands, the Semi-distributed Land Use-based Runoff Process hydrological model was applied to simulate the runoff over a 20 year period. The purpose of this study is to develop an approach to examine the sensitivity of the ten parameters and their interactions via statistical design of experiment methodology. Using the proposed approach, the contribution of each parameter and how they interact with one another were evaluated. The results indicated that the interaction between "retention constant for fast storage" and "precipitation factor" had the greatest positive impact on the Nash-Sutcliffe efficiency (NSE) and the quadratic factor term of "precipitation factor" had the greatest negative effect on the NSE. The proposed approach provided an effective tool for evaluating the contribution of the input parameters and could also be applied for calibration of other hydrological models.Résumé : Afin de mieux comprendre le bilan hydrique du bassin hydrographique de Deer River des basses-terres de la baie d'Hudson, le modèle hydrologique SLURP (Semi-distributed Land Use-based Runoff Process) a été utilisé pour simuler l'é-coulement de surface sur une période de 20 ans. Le but de cette étude est de développer une approche pour étudier la sensibilité des dix paramètres et leurs interactions par la méthode statistique du plan d'expérience. En utilisant l'approche proposée, la contribution de chaque paramètre ainsi que son interaction ont été évaluées. Les résultats indiquent que l'interaction entre la « constante de rétention de stockage rapide » et le « facteur de précipitation » ont le plus grand impact positif sur l'efficacité Nash-Sutcliffe (NSE) et le terme facteur quadratique du « facteur de précipitation » présente le plus fort impact négatif sur la NSE. L'approche proposée fournit un outil efficace pour évaluer la contribution des paramètres d'entrée et elle pourrait également être appliquée à l'étalonnage des autres modèles hydrologiques.Mots-clés : plan d'expérience, analyse de sensibilité, modélisation hydrologique, optimisation.[Traduit par la Rédaction]

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Acrylic blends based on polyaniline. Factorial design

Cited by 10 publications

References 15 publications

A Novel Preparation Method for Camptothecin (CPT) Loaded Folic Acid Conjugated Dextran Tumor-Targeted Nanoparticles

A Novel Preparation Method for Camptothecin (CPT) Loaded Folic Acid Conjugated Dextran Tumor-Targeted Nanoparticles

Antistatic-reinforced biocomposites of polyamide-6 and polyaniline-coated curauá fibers prepared on a pilot plant scale

A design of experiment aided sensitivity analysis and parameterization for hydrological modeling

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