Morphological Changes Caused by Synthesized Zinc Oxide Nanoparticles in MDA-MB 231 Cells and Prediction with Multi-Linear Regression

http://www.doi.org/10.26538/tjnpr/v7i12.36

Authors

  • Huzaifa Umar Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey.

Keywords:

Coefficient of determination, Correlation coefficient, Nanoparticles, Process thickness, Cell body diameter

Abstract

Developing a novel approach to treat cancerous cells while sparing healthy cells is crucial in cancer research. Plant-synthesized using Zinc Oxide Nanoparticles nanoparticles are biocompatible and stable, making them ideal for biomedical, industrial, cell imaging, and biosensor applications. This study reported the morphological development caused by synthesized Zinc Oxide Nanoparticles (ZnO-NPs-AE) in MDA-MB 231 human breast cancer cells, and a multi-linear regression (MLR) model that predicts the morphological changes was also developed. Morphological parameters such as cell body diameter (CBD), process thickness (PT) and field diameter (FD) were analyzed after treatment with various ZnO-NPs-AE concentrations and incubation for 24 hours. Significant decrease in CBD with 25, 50, 100 and 200 μg/mL ZnO-NPs-AE (P > 0.05; n ≥ 10) and 2.5, 5 and 10 μg/mL of synthesized ZnO-NPs-AE did not show any significant effect on the CBD (P < 0.05; n ≥ 10). Similarly, a significant decrease in PT and FD was observed with increased concentration. Furthermore, the concentration of the nanoparticles and our morphometric results were considered in MLR modelling and performance efficiency was evaluated based on correlation coefficient (R), coefficient of determination (DC), mean square error (MSE) and root mean square error (RMSE). Overall, our performance efficiency results revealed the model's ability to predict morphological changes in MDA-MB 231 cells following treatment with synthesized ZnO-NPs-AE.

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Published

2023-12-31

How to Cite

Umar, H. (2023). Morphological Changes Caused by Synthesized Zinc Oxide Nanoparticles in MDA-MB 231 Cells and Prediction with Multi-Linear Regression: http://www.doi.org/10.26538/tjnpr/v7i12.36. Tropical Journal of Natural Product Research (TJNPR), 7(12), 5616–5622. Retrieved from https://tjnpr.org/index.php/home/article/view/3206