A comparison of conventional methods for the quantification of bacterial cells after exposure to metal oxide nanoparticles.
A comparison of conventional methods for the quantification of bacterial cells after exposure to metal oxide nanoparticles.
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DOI：
10.1186/s12866-014-0222-6
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发表时间：
2014-08-21
期刊：
影响因子：
4.2
通讯作者：
Chen H
中科院分区：
文献类型：
--
作者：
Pan H;Zhang Y;He GX;Katagori N;Chen H
由于纳米颗粒对细菌定量的潜在干扰，开发快速、准确和可重复的细菌定量方法是一个挑战。目前，研究人员使用各种细菌定量方法进行纳米颗粒研究，但尚未对这些方法进行有效性评价。在这里，我们研究了纳米颗粒对三种最常用的常规细菌定量方法的干扰，包括菌落计数以确定菌落形成单位（CFU），光密度（OD）测量的分光光度计方法和流式细胞术（FCM）。包括ZnO、TiO 2和SiO 2的三种氧化物纳米颗粒和包括肠道沙门氏菌血清型纽波特、表皮葡萄球菌、粪肠球菌和大肠杆菌的四种细菌物种被包括在测试中。结果表明，氧化物纳米颗粒对FCM测量的所有四种细菌物种的定量没有明显的干扰; CFU计数耗时，不准确且不适合自动化;并且使用OD测量的分光光度计方法是在纳米颗粒存在下定量和检测细菌的最不可靠的方法。综上所述，FCM测量被证明是最好的方法，这是适用于快速，准确和自动检测的细菌在纳米粒子的存在。
Due to potential interference of nanoparticles on bacterial quantification, there is a challenge to develop a fast, accurate and reproducible method for bacterial quantification. Currently various bacterial quantification methods are used by researchers performing nanoparticles study, but there has been no efficacy evaluation of these methods. Here we study interference of nanoparticles on three most commonly used conventional bacterial quantification methods, including colony counting to determine the colony-forming units (CFU), spectrophotometer method of optical density (OD) measurement, and flow cytometry (FCM). Three oxide nanoparticles including ZnO, TiO2, and SiO2 and four bacterial species including Salmonella enterica serovar Newport, Staphylococcus epidermidis, Enterococcus faecalis, and Escherichia coli were included in the test. Results showed that there is no apparent interference of the oxide nanoparticles on quantifications of all four bacterial species by FCM measurement; CFU counting is time consuming, less accurate and not suitable for automation; and the spectrophotometer method using OD measurement was the most unreliable method to quantify and detect the bacteria in the presence of the nanoparticles. In summary, FCM measurement proved to be the best method, which is suitable for rapid, accurate and automatic detection of bacteria in the presence of the nanoparticles.
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影响因子：
8
作者：
Hoff, Dan;Sheikh, Lubna;Webster, Thomas J.
通讯作者：
Webster, Thomas J.
影响因子：
2.9
作者：
Padmavathy, Nagarajan;Vijayaraghavan, Rajagopalan
通讯作者：
Vijayaraghavan, Rajagopalan
影响因子：
3.4
作者：
Pan H;Feng J;Cerniglia CE;Chen H
通讯作者：
Chen H
影响因子：
19
作者：
Applerot, Guy;Lipovsky, Anat;Gedanken, Aharon
通讯作者：
Gedanken, Aharon
DOI：
10.1016/j.ijfoodmicro.2006.07.021
发表时间：
2007-02-15
影响因子：
5.4
作者：
Masco, L.;Vanhoutte, T.;Huys, G.
通讯作者：
Huys, G.