Original ArticleCytotoxicity of chitosan/streptokinase nanoparticles as a function of size: An artificial neural networks study
Graphical Abstract
Section snippets
Methods
Recombinant SK (Streptococcus equisimilis H46A gene in E. coli) and Mrc-5 cell line were purchased from Pasteur Institute (Iran), Cs (Mw = 100 kDa, DD = 93%) was purchased from Easter Holding Group (China), DMEM and fetal bovine serum were purchased from Gibco (USA), penicillin/streptomycin was purchased from Sigma-Aldrich (USA), 3-(4,5-dimethyl- 2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT), DMSO and acetic acid were purchased from Merck Chemicals (Germany).
Size
To determine the effect of input variables on size, in each figure, one input variable was fixed in low, mid-level or high value, then, the impacts of other two inputs on the output were studied. The trained model showed R2 values of 0.94, 0.91 and 0.93 for the unseen, test and train data, respectively, which is an indicative of a quality predictive model. Figure 1 details the effect of Cs concentration and pH on size of particles when stirring time is set at low, medium or high level. From the
Discussion
In this study, we used self-assembly method for preparing Cs/SK nanoparticles. Self-assembly can be defined as spontaneous organization of molecular units into structures by non-covalent interactions. Driving force of self-assembly is tendency of the system to approach equilibrium by reducing its free energy. So, factors affecting non-covalent interactions such as pH, molecular motion and concentration are expected to affect self-assembly process too. In our work, considering the previous
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This research has been supported by Tehran University of Medical Science & Health Services grant no. 92-01-87-20704.