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Electrochemical and computational studies of bio-mimicked Ti3C2Tx MXene-based sensor with multivalent interface
, Article Journal of Colloid and Interface Science ; Volume 623 , 2022 , Pages 1063-1074 ; 00219797 (ISSN) ; Ashari Astani, N ; Atabay, M ; Naseri, N ; Esfandiar, A ; Reza Ejtehadi, M ; Sharif University of Technology
Academic Press Inc
2022
Abstract
Two-dimensional MXenes are the newly emerging family of nanomaterials with competitive performance for nano-device development. Surface functional groups and abundant binding sites make these materials ideal candidates for sensor applications. Herein, we report the successful fabrication of a MXene-based nano-bio device for capturing, sensing, and filtering the Escherichia coli (E. coli) bacteria. Mannose carbohydrate, which binds strongly to E.coli's fimH protein via glucan multivalent interactions, is used as the bio-receptor element. MXene's structure was engineered to guarantee efficient E. coli capturing without mannose detachment. Electrochemical impedance spectroscopy (EIS) and cyclic...
Amoxicillin-loaded multilayer pullulan-based nanofibers maintain long-term antibacterial properties with tunable release profile for topical skin delivery applications
, Article International Journal of Biological Macromolecules ; Volume 215 , 2022 , Pages 413-423 ; 01418130 (ISSN) ; Asgari, S ; Guerra, P. R ; Chamorro, C. I ; Ilchenco, O ; Piqueras, S ; Fossum, M ; Boisen, A ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Unique physiochemical and biological properties of nanofibers along with the choice of a wide variety of materials for both fabrication and tunable release patterns make nanofibers an ideal option for drug delivery. Loading antibacterial agents into nanofibers has attracted great deal of attention. Whilst there are several studies focusing on applying new generations of antibacterial materials, antibiotics are still the gold standard in clinical applications. Therefore, we aimed at introducing antibiotic-loaded nanofiber substrates with potential for topical skin delivery applications, reduced consumption of antibiotics and increased storage time. We applied Amoxicillin (AMX) as a model drug...
Prediction of the partition coefficients of biomolecules in polymer-polymer aqueous two-phase systems using the artificial neural network model
, Article Particulate Science and Technology ; Volume 28, Issue 1 , 2010 , Pages 67-73 ; 02726351 (ISSN) ; Taghikhani, V ; Vossoughi, M ; Sharif University of Technology
Abstract
In this work, an artificial neural network model was used to obtain the partition coefficients of biomolecules in polymer-polymer aqueous two-phase systems. In the artificial neural network, the partition coefficient of a biomolecule depends on the difference between concentrations of poly (ethylene glycol), dextran in the top and bottom phases, temperature and molecular weights of poly (ethylene glycol), dextran, and the biomolecule. The network topology is optimized and the (6-1-1) architecture is found using optimization of an objective function with sequential quadratic programming (SQP) method for 450 experimental data points. The results obtained from the neural network of the...