Interaction among clays and bovine serum albumin

Mucha, Martin; Mars̆álek, Roman; Bukáčková, Marta; Zelenková, Gabriela

doi:10.1039/d0ra01430c

Cited by 12 publications

(11 citation statements)

References 44 publications

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“…(K 0.25 Na 0.118 Ca 0.022 )(Al The Zeta potential of K10 is negative at all the pH values [64], therefore the clay does not present an isoelectric point and the surface is always negatively charged. Metronidazole (MNE), 1-hydroxyethyl-2-methyl-5-nitroimidazole was provided from Fluka.…”

Section: Methodsmentioning

confidence: 99%

Modified Montmorillonite as Drug Delivery Agent for Enhancing Antibiotic Therapy

et al. 2021

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The appealing properties of surfactant-intercalated Montmorillonites (Organo-montmorillonite, OMt) were successfully investigated to propose an effective drug delivery system for metronidazole (MNE) antibiotic therapy. This represents a serious pharmaceutical concern due to the adverse drug reactions and the low targeting ability of MNE. The non-ionic surfactant Tween 20 was used to functionalize montmorillonite, thus accomplishing the two-fold objective of enhancing the stability of clay dispersion and better controlling drug uptake and release. The adsorption process was performed under different experimental conditions and investigated by constructing the adsorption isotherms through high-performance liquid chromatography (HPLC) measurements. Powder X-ray diffraction (XRD) measurements were performed to characterize the MNE/OMt compounds. The gathered results revealed that the uptake of the drug occurs preferentially in the clay interlayer, and it is governed by positive cooperative processes. The presence of surfactant drives the adsorption into clay interlayer and hampers the adsorption onto external lamella faces. The good performances of the prepared OMt in the controlled release of the MNE were proved by investigating the release profiles under physiological conditions, simulating oral drug administration. Cytotoxicity measurements demonstrated the biocompatibility of the complexes and evidenced that, under specific experimental conditions, nanodevices are more biocompatible than a free drug.

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Section: Methodsmentioning

confidence: 99%

Modified Montmorillonite as Drug Delivery Agent for Enhancing Antibiotic Therapy

et al. 2021

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“…Several factors can influence the surface charge of nanoparticles and colloidal materials, which, in turn, affect the zeta potential [ 74 , 75 ]. The pH of the aqueous medium and the temperature of the dispersion [ 8 , 76 , 77 , 78 , 79 ], the ionic strength [ 8 , 9 , 10 , 42 , 76 ], the presence of monovalent and divalent ions and other substances such as polymers and surfactants in the solution [ 42 , 80 , 81 ], the weight percentage of the solute in the dispersion [ 8 , 10 , 42 ], and the utilization of ultrasonication [ 80 ] are other critical parameters that influence the surface charge of the colloidal system…”

Section: Introductionmentioning

confidence: 99%

Unlocking the Power of Artificial Intelligence: Accurate Zeta Potential Prediction Using Machine Learning

et al. 2023

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Nanoparticles have gained significance in modern science due to their unique characteristics and diverse applications in various fields. Zeta potential is critical in assessing the stability of nanofluids and colloidal systems but measuring it can be time-consuming and challenging. The current research proposes the use of cutting-edge machine learning techniques, including multiple regression analyses (MRAs), support vector machines (SVM), and artificial neural networks (ANNs), to simulate the zeta potential of silica nanofluids and colloidal systems, while accounting for affecting parameters such as nanoparticle size, concentration, pH, temperature, brine salinity, monovalent ion type, and the presence of sand, limestone, or nano-sized fine particles. Zeta potential data from different literature sources were used to develop and train the models using machine learning techniques. Performance indicators were employed to evaluate the models’ predictive capabilities. The correlation coefficient (r) for the ANN, SVM, and MRA models was found to be 0.982, 0.997, and 0.68, respectively. The mean absolute percentage error for the ANN model was 5%, whereas, for the MRA and SVM models, it was greater than 25%. ANN models were more accurate than SVM and MRA models at predicting zeta potential, and the trained ANN model achieved an accuracy of over 97% in zeta potential predictions. ANN models are more accurate and faster at predicting zeta potential than conventional methods. The model developed in this research is the first ever to predict the zeta potential of silica nanofluids, dispersed kaolinite, sand–brine system, and coal dispersions considering several influencing parameters. This approach eliminates the need for time-consuming experimentation and provides a highly accurate and rapid prediction method with broad applications across different fields.

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“…The phenomenon of protein adsorption is an important process in the development of drug delivery systems, medical implants, and other biomedical applications. Bovine serum albumin (BSA) is commonly used as a model protein for studying the adsorption characteristics of various adsorbents, such as natural clays [1][2][3][4][5][6][7], zeolite [8,9], carbon [10][11][12][13], alginate [14,15], and chitosan [16]. Among these, natural clays and clay minerals have unique properties that make them particularly effective for protein adsorption due to their twodimensional layered structure, swelling, and ion exchange properties [17].…”

Section: Introductionmentioning

confidence: 99%

“…Bentonite can interact with cations or with protein as well [7] and is widely used to separate proteins from wine due to its negatively charged structure [1]. Although overall negative basal surface charge of bentonite is balanced by the interlayer cations and is not effected by the pH of the solution, the charge at the bentonite layer edges is affected by the solution pH due to the protonation/deprotonation of silanol groups [2].…”

Section: Introductionmentioning

confidence: 99%

“…Although overall negative basal surface charge of bentonite is balanced by the interlayer cations and is not effected by the pH of the solution, the charge at the bentonite layer edges is affected by the solution pH due to the protonation/deprotonation of silanol groups [2]. Clays also effect the solution pH by releasing cations during the hydrolysis of the structure [7]. The pH of the solution also determines the charge of the protein, which is positively charged below the isoelectric point (pI) and negatively charged above pI.…”

Section: Introductionmentioning

confidence: 99%

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Modelling and optimization of bovine serum albumin adsorption on calcium bentonite using box-behnken experimental design method

Duranoğlu,

Kumcu Yün

2023

Phys. Scr.

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The purpose of this study is to investigate and optimize the process parameters for bovine serum albumin (BSA) adsorption onto calcium bentonite (CaB) using the Box-Behnken experimental design method. Calcium bentonite was characterized using FT-IR, SEM, XRD, zeta potential measurements, and Boehm titration methods. The BSA adsorption capacity of calcium bentonite was modelled with respect to pH (2.8, 4.8, and 6.8), temperature (25 °C, 32.5 °C, and 40 °C), and initial protein concentration (0.1–1.2 mg ml−1) using the Box-Behnken experimental design method. The Design Expert 13.0 software was used to optimize the process conditions and obtain three-dimensional response surface graphs. A regression model, which gives the relationship between the process parameters and BSA adsorption capacity, was obtained using Design Expert software. The developed model showed that the most effective parameter on adsorption was the initial protein concentration followed by pH and temperature. The maximum adsorption capacity was obtained about 171 mg/g under optimal conditions (pH 4.8, 40 °C, and 1 mg ml−1 of initial BSA concentration). BSA adsorption onto CaB fit the pseudo-second order kinetic model. This study showed that process parameters for BSA adsorption can be effectively investigated and optimized using the Box-Behnken experimental design method with a fewer number of experiments.

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Interaction among clays and bovine serum albumin

Abstract: Interaction of bovine serum albumin with clays strongly affects the structure of both clay and protein.

Cited by 12 publications

References 44 publications

Modified Montmorillonite as Drug Delivery Agent for Enhancing Antibiotic Therapy

Modified Montmorillonite as Drug Delivery Agent for Enhancing Antibiotic Therapy

Unlocking the Power of Artificial Intelligence: Accurate Zeta Potential Prediction Using Machine Learning

Modelling and optimization of bovine serum albumin adsorption on calcium bentonite using box-behnken experimental design method

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