Fuzzy regression is an attractive application due to its ability to solve problems in the absence... more Fuzzy regression is an attractive application due to its ability to solve problems in the absence of accurate mathematical models. In this study, rheological properties of a bio-nanocomposite were predicted using fuzzy regression. The aim of study is to introduce the methodology and application of fuzziness in detail for handling uncertainty in the experimental data. In this context, rheological properties of green eggshell bio-nanocomposites are investigated using different operating parameters. Since the determination of surface tension is prone to experimental errors, a novel fuzzy-hybrid model is proposed in addition to a crisp model. Statistical error analysis is conducted to assess the validity of the multivariate models proposed. While both models provided satisfactory results, it is observed that the fuzzy-hybrid model outperforms the crisp model in both accuracy and generality. This study highlights that the proposed models have an impressive potential to be used for modeli...
Chemical Industry and Chemical Engineering Quarterly, 2022
Platelets (PLTs) are responsible for stopping bleeding. They are small cell fragments produced fr... more Platelets (PLTs) are responsible for stopping bleeding. They are small cell fragments produced from megakaryocytes (MKs) in the bone marrow. Low platelet count is a significant health problem for a patient. PLTs can usually be stored for up to 5 days prior to transfusion. Instantaneous production of PLTs from isolated and stored MKs is crucial for the patient?s health. Thanks to microfluidic platforms, PLTs can be produced instantaneously from MKs. Herein, we have computationally studied fluid dynamics in the microchannels with slit structures and different inlet geometries. Analysis of the flow dynamics was performed by the commercial analysis software. The effects of flow rates and the angle between the inlet channels on the MKs trapping were investigated. The optimization of the angle between inlet channels and flow rates of main and pressure flows was done with response surface methodology (RSM) by counting the trapped MKs. The optimum conditions lead to the percentage of trappe...
relates the intrinsic viscosity with all operating variables, and we carried out statistical erro... more 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.
Surface tension is one of the most important rheological parameters of nanoliquids. It influences... more 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...
Fuzzy regression is an attractive application due to its ability to solve problems in the absence... more Fuzzy regression is an attractive application due to its ability to solve problems in the absence of accurate mathematical models. In this study, rheological properties of a bio-nanocomposite were predicted using fuzzy regression. The aim of study is to introduce the methodology and application of fuzziness in detail for handling uncertainty in the experimental data. In this context, rheological properties of green eggshell bio-nanocomposites are investigated using different operating parameters. Since the determination of surface tension is prone to experimental errors, a novel fuzzy-hybrid model is proposed in addition to a crisp model. Statistical error analysis is conducted to assess the validity of the multivariate models proposed. While both models provided satisfactory results, it is observed that the fuzzy-hybrid model outperforms the crisp model in both accuracy and generality. This study highlights that the proposed models have an impressive potential to be used for modeli...
Chemical Industry and Chemical Engineering Quarterly, 2022
Platelets (PLTs) are responsible for stopping bleeding. They are small cell fragments produced fr... more Platelets (PLTs) are responsible for stopping bleeding. They are small cell fragments produced from megakaryocytes (MKs) in the bone marrow. Low platelet count is a significant health problem for a patient. PLTs can usually be stored for up to 5 days prior to transfusion. Instantaneous production of PLTs from isolated and stored MKs is crucial for the patient?s health. Thanks to microfluidic platforms, PLTs can be produced instantaneously from MKs. Herein, we have computationally studied fluid dynamics in the microchannels with slit structures and different inlet geometries. Analysis of the flow dynamics was performed by the commercial analysis software. The effects of flow rates and the angle between the inlet channels on the MKs trapping were investigated. The optimization of the angle between inlet channels and flow rates of main and pressure flows was done with response surface methodology (RSM) by counting the trapped MKs. The optimum conditions lead to the percentage of trappe...
relates the intrinsic viscosity with all operating variables, and we carried out statistical erro... more 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.
Surface tension is one of the most important rheological parameters of nanoliquids. It influences... more 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...
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