Keyword search (4,164 papers available)

"Stiharu I" Authored Publications:

Title Authors PubMed ID
1 Synthesis and Characterization of CNC/CNF/rGO Composite Films for Advanced Functional Applications Ramezani G; Stiharu I; van de Ven TGM; Ramezani H; Nerguizian V; 41900273
ENCS
2 Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites Ramezani G; Silva IO; Stiharu I; Ven TGMV; Nerguizian V; 40283268
ENCS
3 A synthetic model of bioinspired liposomes to study cancer-cell derived extracellular vesicles and their uptake by recipient cells López RR; Ben El Khyat CZ; Chen Y; Tsering T; Dickinson K; Bustamante P; Erzingatzian A; Bartolomucci A; Ferrier ST; Douanne N; Mounier C; Stiharu I; Nerguizian V; Burnier JV; 40069225
ENCS
4 Advancements in Hybrid Cellulose-Based Films: Innovations and Applications in 2D Nano-Delivery Systems Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38667550
ENCS
5 Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38258201
ENCS
6 SiCNFe Ceramics as Soft Magnetic Material for MEMS Magnetic Devices: A Mössbauer Study Stiharu I; Andronenko S; Zinnatullin A; Vagizov F; 37241549
PHYSICS
7 A review on microfluidic-assisted nanoparticle synthesis, and their applications using multiscale simulation methods Agha A; Waheed W; Stiharu I; Nerguizian V; Destgeer G; Abu-Nada E; Alazzam A; 36800044
CONCORDIA
8 Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications Delavari MM; Ocampo I; Stiharu I; 36557445
ENCS
9 Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I; 34683215
ENCS
10 Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers López RR; Sánchez LM; Alazzam A; Burnier JV; Stiharu I; Nerguizian V; 34577745
ENCS
11 Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer. López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V 32106424
ENCS
12 Fabrication of Porous Gold Film Using Graphene Oxide as a Sacrificial Layer. Alazzam A, Alamoodi N, Abutayeh M, Stiharu I, Nerguizian V 31323903
ENCS
13 The effect of dielectrophoresis on living cells: crossover frequencies and deregulation in gene expression. Nerguizian V, Stiharu I, Al-Azzam N, Yassine-Diab B, Alazzam A 31099354
ENCS

 

Title:Optimizing Biodegradable Starch-Based Composite Films Formulation for Wound-Dressing Applications
Authors:Delavari MMOcampo IStiharu I
Link:https://pubmed.ncbi.nlm.nih.gov/36557445/
DOI:10.3390/mi13122146
Publication:Micromachines
Keywords:PVAbiodegradablemachine learningoptimizationstarchwound dressings
PMID:36557445 Category: Date Added:2022-12-23
Dept Affiliation: ENCS
1 Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
2 School of Engineering and Sciences, Tecnológico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico.

Description:

This paper utilizes response surface methodology (RSM) design-based analyses to optimize starch-based wound dressings that were characterized based on weight loss (WL%), swelling index (SI%), and mechanical strength (TS). The wound-dressing materials were prepared by employing a modified casting method, using various concentrations of starch (0.5-2 w/w%), polyvinyl alcohol (PVA) (0.5-2 weight%), citric acid (1.5-4 weight%), and glycerol (1.5-4 weight%) to yield wound-dressing films with appropriate combinations of in vitro degradation, swelling index, and tensile strength. As a result of the response surface method-based analysis, the swelling index, in vitro degradation, and tensile strength were linearly related to variations in the formulation of organic components. Based on our experimental investigations, the optimized film (formulation: 1 weight% PVA, 2 weight% starch, 1.5 weight% citric acid, and 1.5 weight% glycerol) exhibited an outstanding swelling index (343.52%), suitable in vitro degradation (53.22%), and excellent tensile strength (8.82 MPa). The response surface plots for the dependent variables, swelling index (SI%), weight loss (WL%), and mechanical strength (TS), showed that in all dual relations, the PVA-starch combination significantly affected all dependent variables; however, the PVA-citric acid interaction showed the most excellent effect on the swelling index. As a result, every component of the resulting film had a lesser amount of all ingredients to achieve better properties at a lower material cost. Starch-based/PVA films have been identified in this paper as optimal and more affordable wound-dressing films.





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