Influence of exposed magnetic nanoparticles and their application in chemiluminescence immunoassay
Influence of exposed magnetic nanoparticles and their application in chemiluminescence immunoassay
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暴露的磁性纳米粒子的影响及其在化学发光免疫分析中的应用
DOI：
10.1016/j.colsurfa.2017.01.071
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发表时间：
2017-05
期刊：
影响因子：
--
通讯作者：
Chen Guo
中科院分区：
文献类型：
--
作者：
Jiao Du;Tao Li;Zongying Sun;Chen Guo
在一定程度上，纳米颗粒涂层不均匀可能会导致其内容物暴露。本工作建立了模拟系统，并使用暴露的 Fe3O4 磁性纳米粒子（MNP）来研究暴露情况对化学发光免疫分析的影响。研究了一些因素，如 MNP 的浓度、辣根过氧化物酶 (HRP) 的共存、不同的粒径和各种处理方法。已证实暴露表面上的纳米颗粒体和金属氧化物都与检测信号相关。这一结论可能为解释化学发光免疫分析中出现的偏差提供新的方法。此外，还开发了基于暴露的 Fe3O4MNP 的化学发光免疫分析法来检测人绒毛膜促性腺激素 (hCG)。用抗α-hCG抗体修饰羧基功能化的MNP，并进一步用作夹心型免疫测定的固相支持物。最佳条件下 hCG 的检测限低至 1.184 ng/mL，线性响应范围为 2–100 ng/mL，相关系数为 0.989。该方法可用于测定血清样品中的hCG，这证明了其在快速且经济有效地检测生物样品中的应用潜力。
To a certain extent, uneven coating of nanoparticles may lead to exposure of their contents. In this work, a simulation system was established and exposed Fe3O4magnetic nanoparticles (MNPs) were used to investigate the influence of the exposed case in a chemiluminescence immunoassay. Some factors such as the concentration of MNPs, coexistence of horseradish peroxidase (HRP), different particle sizes, and various treatment methods were investigated. It was confirmed that both the bodies of nanoparticles and metallic oxides on the exposed surface have associations with the detection signal. This conclusion may provide a new way to explain the deviation emerged in a chemiluminescence immunoassay. In addition, an exposed Fe3O4MNPs based chemiluminescence immunoassay was developed to detect human chorionic gonadotropin (hCG). Carboxyl-functionalized MNPs were modified with anti-α-hCG antibody, and further used as solid-phase supports for sandwich-type immunoassay. The detection limit for hCG under optimal conditions was as low as 1.184 ng/mL with a linear response range of 2–100 ng/mL and a correlation coefficient of 0.989. The proposed method could be used for the determination of hCG in serum samples, which demonstrated their application potential in rapid and cost-effective detection of biological samples.
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影响因子：
5.8
作者：
Nagesh, Prashanth K. B.;Johnson, Nia R.;Boya, Vijaya K. N.;Chowdhury, Pallabita;Othman, Shadi F.;Khalilzad-Sharghi, Vahid;Hafeez, Bilal B.;Ganju, Aditya;Khan, Sheema;Behrman, Stephen W.;Zafar, Nadeem;Chauhan, Subhash C.;Jaggi, Meena;Yallapu, Murali M.
通讯作者：
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影响因子：
2.7
作者：
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通讯作者：
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影响因子：
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作者：
M. Sorouraddin;M. Iranifam;A. Imani-Nabiyyi
通讯作者：
M. Sorouraddin;M. Iranifam;A. Imani-Nabiyyi
影响因子：
9.9
作者：
Yi Hao;Ruixia Gao;Dechun Liu;Bianbian Zhang;Yuhai Tang;Zengjun Guo
通讯作者：
Yi Hao;Ruixia Gao;Dechun Liu;Bianbian Zhang;Yuhai Tang;Zengjun Guo
影响因子：
6.1
作者：
Kim, Sumin;Lim, H. B.
通讯作者：
Lim, H. B.