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纳米二氧化硅浓度和 ELISA 波长对细胞毒性比色分析的协同干扰效应。

The synergistic interference effect of silica nanoparticles concentration and the wavelength of ELISA on the colorimetric assay of cell toxicity.

机构信息

Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

Sci Rep. 2021 Jul 23;11(1):15133. doi: 10.1038/s41598-021-92419-1.

Abstract

The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay is the most common method for the determination of cell toxicity, but some factors limit the sensitivity of this method, such as pH. Less attention had been paid to the interference effect of optical and plasmonic properties of SiO nanoparticles (NPs) in the wavelength range assigned to MTT. This study investigated the synergistic interference effect of SiO NPs and wavelength on MTT assay for the first time. The examined variables included the type of SiO NPs concentrations (1, 10, and 100 mM) and different wavelengths (470, 490, 520, and 570 nm). The results showed that optical density (OD) increased (p < 0.05) when wavelength and the concentration of crystalline SiO NPs increased. So, the maximum OD at 10 and 100 mM were attributed to crystalline SiO NPs (p < 0.05) due to the functional group, whereas it was related to amorphous at 1 mM (p > 0.05). According to polynomial regression modeling (PRM), the maximum interference effect was predicted at crystalline SiO NPs and wavelength > 550 nm. Besides, the synergistic effects of SiO NPs, wavelength, and concentration of NPs had been a good fitting with first-order PRM. Thus, the concentration of SiO NPs had a confounder factor in colorimetric for MTT assay. The best artificial neural network (ANN) structure was related to the 3:7:1 network (R = 0.936, MSE = 0.0006, MAPE = 0.063). The correlation between the actual and predicted data was 0.88. As SiO NPs presence is an interfering factor in MTT assay concerning wavelength, it is suggested wavelength use with minimum confounding effect for MTT assay.

摘要

3-(4,5-二甲基噻唑-2-基)-2,5-二苯基四氮唑溴盐(MTT)测定法是测定细胞毒性最常用的方法,但有些因素限制了该方法的灵敏度,如 pH 值。人们对二氧化硅纳米粒子(SiO NPs)的光学和等离子体特性在分配给 MTT 的波长范围内对 MTT 测定的干扰效应关注较少。本研究首次研究了 SiO NPs 和波长对 MTT 测定的协同干扰效应。研究的变量包括 SiO NPs 的类型、浓度(1、10 和 100 mM)和不同波长(470、490、520 和 570nm)。结果表明,当波长和结晶 SiO NPs 的浓度增加时,光密度(OD)增加(p<0.05)。因此,由于功能基团,10 和 100 mM 时的最大 OD 归因于结晶 SiO NPs(p<0.05),而 1 mM 时的最大 OD 与非晶态有关(p>0.05)。根据多项式回归模型(PRM),在结晶 SiO NPs 和波长>550nm 时预测到最大的干扰效应。此外,SiO NPs、波长和 NPs 浓度的协同作用与一阶 PRM 拟合良好。因此,SiO NPs 的浓度是 MTT 测定比色法中的一个混杂因素。最佳的人工神经网络(ANN)结构与 3:7:1 网络有关(R=0.936,MSE=0.0006,MAPE=0.063)。实际数据和预测数据之间的相关性为 0.88。由于 SiO NPs 的存在是 MTT 测定中波长的一个干扰因素,建议在 MTT 测定中使用最小混杂效应的波长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6442/8302571/4d54891ff334/41598_2021_92419_Fig1_HTML.jpg

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