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دسته بندی:
داده کاوی - data mining
سال انتشار:
2019
عنوان انگلیسی مقاله:
Investigation of iron oxide nanoparticle cytotoxicity in relation to kidney cells: A mathematical modeling of data mining
ترجمه فارسی عنوان مقاله:
بررسی سمیت سلولی نانوذرات اکسید آهن در رابطه با سلولهای کلیوی: مدل سازی ریاضی داده کاوی
منبع:
Sciencedirect - Elsevier - Toxicology in Vitro, 59 (2019) 197-203. doi:10.1016/j.tiv.2019.04.024
نویسنده:
Fatemeh Hataminiaa,b,⁎, Zahra Noroozic, Houra Mobaleghol Eslama
چکیده انگلیسی:
Iron oxide nanoparticles (IONs) have several applications in medical fields including magnetic resonance imaging
(MRI), drug delivery, cancer treatment and cell splitting. Therefore, it is important to investigate their
cellular toxicity. It is difficult to predict their cellular toxicity due to complexities associated with their cellular
mechanisms. The present study was designed to collect data on the cell viability of IONs and obtain a mathematical
modeling. For this purpose, particle size, concentration, incubation time and the surface charge of NPs
were selected as the model inputs and the percentage of cell viability (%CV) as the model output. Using a version
of the modeling called SA-LOOCV-GRBF, these issues can be resolved with favorable results. Since the behavior
of positive zeta potential (PZP) is different from negative zeta potential (NZP), they were compared by separate
modeling efforts. Kidney is a vital body organ that dispose of IONs in the body, but it is possible that these cells
engage in unwanted interactions with IONs. Therefore, the kidney cell line was examined in this study.
Keywords: Cell viability | Iron oxide nanoparticle | Modeling | Negative zeta potential | Positive zeta potential
قیمت: رایگان
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