Gold-nanoparticle-decorated silica nanorods for sensitive visual detection of proteins.
Gold-nanoparticle-decorated silica nanorods for sensitive visual detection of proteins.
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DOI：
10.1021/ac502249f
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发表时间：
2014-08-05
影响因子：
7.4
通讯作者：
Liu, Guodong
中科院分区：
文献类型：
--
作者：
Xu, Hui;Chen, Jiao;Birrenkott, Joseph;Zhao, Julia Xiaojun;Takalkar, Sunitha;Baryeh, Kwaku;Liu, Guodong
我们报告了一种快速和高灵敏度的方法，基于金纳米颗粒修饰的二氧化硅纳米棒（GNP-SiNRs）标记和侧流式条带生物传感器（LFSB）的视觉检测蛋白质。由于其生物相容性和方便的表面修饰，SiNRs被用作载体负载大量的GNP，并且GNP-SiNRs被用作侧向流分析的标记物。与传统的基于GNP的侧向流测定相比，LFSB的检测限降低了50倍。兔IgG用作模型靶标以证明概念验证。在免疫层析条上进行三明治型免疫反应，GNP-SiNR在测试区上的积累产生了特征性的彩色条带，使得能够在没有仪器的情况下目视检测蛋白质。通过用便携式条带读取器阅读有色条带的强度来进行定量检测。优化的装置的响应是高度线性的范围为0.05-2 ng mL-1，和检测限估计为0.01 ng mL-1。因此，基于GNP-SiNR的LFSB提供了一种快速检测痕量蛋白质的超灵敏方法。这种方法具有潜在的应用与床旁筛查临床诊断和生物医学研究。
We report a rapid and highly sensitive approach based on gold-nanoparticle-decorated silica nanorods (GNP-SiNRs) label and lateral-flow strip biosensor (LFSB) for visually detecting proteins. Owing to its biocompatibility and convenient surface modification, SiNRs were used as carriers to load numerous GNPs, and the GNP-SiNRs were used as labels for the lateral-flow assay. The LFSB detection limit was lowered 50 times compared to the traditional GNP-based lateral-flow assay. Rabbit IgG was used as a model target to demonstrate the proof-of-concept. Sandwich-type immunoreactions were performed on the immunochromatographic strips, and the accumulation of GNP-SiNRs on the test zone produced the characteristic colored bands, enabling visual detection of proteins without instrumentation. The quantitative detection was performed by reading the intensities of the colored bands with a portable strip reader. The response of the optimized device was highly linear for the range of 0.05–2 ng mL–1, and the detection limit was estimated to be 0.01 ng mL–1. The GNP-SiNR-based LFSB, thus, offered an ultrasensitive method for rapidly detecting trace amounts of proteins. This method has a potential application with point-of-care screening for clinical diagnostics and biomedical research.
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影响因子：
4.2
作者：
Chou, Shu-Fen
通讯作者：
Chou, Shu-Fen
影响因子：
4.9
作者：
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