Preparation, characterization and evaluation of a novel CMC/Chitosan-α-Fe2O3 nanoparticles-coated 17–4 PH stainless-steel foam

Karakuş, Selcan; Üllen, Nuray Beköz; İnsel, Mert Akın; Kilislioğlu, Ayben

doi:10.1007/s00289-021-03700-2

Cited by 7 publications

(25 citation statements)

References 38 publications

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“…The sum of squares of errors (SSE), the hybrid fractional error function (HYBRID), Marquart’s percentage standard deviation (MPSD), and the average relative error (ARE) were computed by using Eqs. 5 – 8 (Karakuş et al 2021 ). The correlation diagram is also presented to clarify the validity of the model.…”

Section: Methodsmentioning

confidence: 99%

Characterization, optimization, and evaluation of preservative efficacy of carboxymethyl cellulose/hydromagnesite stromatolite bio-nanocomposite

et al. 2022

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Currently, researchers are focusing on the development of nano-additive preservatives during the worldwide COVID-19 pandemic. This research aimed to constitute a small sized preservative nano-formulation which emerges from the biopolymer carboxymethyl cellulose (a green stabilizing agent) and hydromagnesite stromatolite (a fossilized natural additive). In this study, we investigated the optimization of the experimental design of carboxymethyl cellulose/hydromagnesite stromatolite (CMC/HS) bio-nanocomposites using a green and one-step sonochemical method at room temperature. In addition, we constructed a mathematical model which relates the intrinsic viscosity with all operating variables, and we carried out statistical error analysis to assess the validity of the proposed model. The characterization and chemical functional groups of CMC/HS bio-nanocomposites were determined by different advanced techniques such as SEM, HRTEM, DLS, FTIR, XRD, and BET. The challenge test was used to show the preservative efficacy of CMC/HS bio-nanocomposites against Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Candida albicans, and Aspergillus brasiliensis. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltrazolium bromide (MTT) assay was performed on L929 cells to evaluate the in vitro cytotoxicity of CMC/HS bio-nanocomposites. According to the results, we showed that the synthesized CMC/HS bio-nanocomposites have no cytototoxic effects on L929 fibroblast cells and could be considered to be an alternative green nano-additive preservative against pathogenic microorganisms.

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Section: Methodsmentioning

confidence: 99%

Characterization, optimization, and evaluation of preservative efficacy of carboxymethyl cellulose/hydromagnesite stromatolite bio-nanocomposite

et al. 2022

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“…*Crisp modelling was conducted in a previous study. [18] CTAB, cetyltrimethylammonium bromide. Since l i and r i are positive, θ L x j À Á and θ R x j À Á will also be positive…”

Section: Fuzzy Regressionmentioning

confidence: 99%

“…The following crisp relations were obtained in the study by Karakuş et al [18] for the mathematical modelling of surface tension. First, surface tension is expressed as a function of individual operating variables (concentration Equations ( 6)-( 8), temperature Equation ( 9), pH Equation (10), amplitude of sonication Equation (11), sonication time Equation (12), and CTAB mass fraction Equation ( 13)).…”

Section: Fuzzy Mathematical Model Developmentmentioning

confidence: 99%

“…The surface tension as a function of all operating variables for 10%, 15%, and 20% mass fraction of silica is obtained as in Equations ( 19)-( 21). [18] γ 10% T,pH,…”

Section: Fuzzy Mathematical Model Developmentmentioning

confidence: 99%

“…[16] In recent studies, conventional regression techniques were also utilized to model the surface tension of several NPs. [17][18][19] Regression analysis is a powerful statistical technique with numerous applications in engineering, finance, business, and biology. It is used to predict the functional relationship between the dependent variable(s) and a set of independent variables.…”

Section: Introductionmentioning

confidence: 99%

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On modelling of surface tension of CMC‐α‐Fe₂O₃ nanoparticles by fuzzy‐hybrid approach: A comparison study

et al. 2023

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Surface tension is one of the most important rheological parameters of nanoliquids. It influences the thermophysical and mass transfer properties of nanostructures. Accurate estimation of the surface tension from operating variables is critical for determining optimal production processes. However, the challenges of producing nanoparticles and measuring their properties introduce experimental errors in the data used for mathematical modelling. Crisp regression approaches provide adequate representation of the data, but they do not provide information about the experimental uncertainty. In this study, a fuzzy‐hybrid approach is proposed for mathematical modelling of surface tension of carboxymethyl cellulose/chitosan‐α‐Fe2O3 nanoparticles. Then, the proposed model is compared with a crisp model from a previous study. Error analysis is conducted to validate the constructed fuzzy model. It is observed that the fuzzy‐hybrid modelling approach has yielded significantly lower error values (a 60%–90% improvement in all error metrics on average), and thus, it is superior to the crisp approach. This study contributes to the subject of modelling rheological properties. It is shown that the fuzzy‐hybrid approach has impressive potential to be utilized for modelling the rheological properties of nanostructures.

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Polymeric Materials for Nanosupercapacitors

İnsel

Karakuş

2023

Green Energy and Technology

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Preparation, characterization and evaluation of a novel CMC/Chitosan-α-Fe2O3 nanoparticles-coated 17–4 PH stainless-steel foam

Cited by 7 publications

References 38 publications

Characterization, optimization, and evaluation of preservative efficacy of carboxymethyl cellulose/hydromagnesite stromatolite bio-nanocomposite

Characterization, optimization, and evaluation of preservative efficacy of carboxymethyl cellulose/hydromagnesite stromatolite bio-nanocomposite

On modelling of surface tension of CMC‐α‐Fe₂O₃ nanoparticles by fuzzy‐hybrid approach: A comparison study

Polymeric Materials for Nanosupercapacitors

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Preparation, characterization and evaluation of a novel CMC/Chitosan-α-Fe2O3 nanoparticles-coated 17–4 PH stainless-steel foam

Cited by 7 publications

References 38 publications

Characterization, optimization, and evaluation of preservative efficacy of carboxymethyl cellulose/hydromagnesite stromatolite bio-nanocomposite

Characterization, optimization, and evaluation of preservative efficacy of carboxymethyl cellulose/hydromagnesite stromatolite bio-nanocomposite

On modelling of surface tension of CMC‐α‐Fe2O3 nanoparticles by fuzzy‐hybrid approach: A comparison study

Polymeric Materials for Nanosupercapacitors

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Product

Resources

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On modelling of surface tension of CMC‐α‐Fe₂O₃ nanoparticles by fuzzy‐hybrid approach: A comparison study