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单分散等离子体-磁性复合微球的合成及其在生物分子超灵敏检测中的应用。

Synthesis of Monodisperse Plasmonic Magnetic Microbeads and Their Application in Ultrasensitive Detection of Biomolecules.

机构信息

College of Science , Huazhong Agricultural University , Wuhan 430070 , China.

Department of Pathology , Hubei Cancer Hospital , Wuhan 430079 , China.

出版信息

Anal Chem. 2018 Jul 3;90(13):8178-8187. doi: 10.1021/acs.analchem.8b01510. Epub 2018 Jun 19.

Abstract

Plasmon-enhanced fluorescence (PEF)-based analytical technology has recently demonstrated its ability in detecting biomarkers with ultrahigh sensitivity. However, the scope of the PEF-based technology has been hindered by its reliance on flat substrates with relatively low binding kinetics and the limited multiplex detection ability. Herein, we reported a simple yet robust method for the fabrication of plasmonic magnetic microbeads (PMMBs)-based suspension array technology (SAT) with fluorescence enhancement of about 60-fold, improving the detection limit of biomarkers by 2-orders of magnitude toward 100 fM. We also demonstrated the performance of this method for the detection of anti-acidic ribosomal phosphoprotein 0 (anti-P0) autoantibody in sera from systemic lupus erythematosus (SLE) patients. Owing to the high sensitivity and efficient magnet-based sample collection, our method can be employed for detection of ultrasmall volumes of samples (e.g., 2 μL), promising for point-of-care detection. Furthermore, a size-encoded PMMBs-based multiplexed suspension array for simultaneous detection of multiple biomarkers is realized, illustrating the great potential of this technology in high-throughput disease diagnosis applications.

摘要

基于等离子体增强荧光(PEF)的分析技术最近已经证明了其在超高灵敏度检测生物标志物方面的能力。然而,该技术的应用范围受到其对具有相对较低结合动力学和平坦基底的依赖的限制,并且其多重检测能力有限。在此,我们报道了一种简单而强大的方法,用于制造基于等离子体磁性微珠(PMMB)的悬浮阵列技术(SAT),该技术具有约 60 倍的荧光增强,将生物标志物的检测限提高了 2 个数量级,达到 100 fM。我们还展示了该方法在检测系统性红斑狼疮(SLE)患者血清中的抗酸性核糖体磷蛋白 0(anti-P0)自身抗体中的性能。由于具有高灵敏度和基于磁体的高效样品收集能力,我们的方法可用于检测超小体积的样品(例如 2 μL),有望用于即时检测。此外,实现了基于尺寸编码的 PMMB 基多重悬浮阵列,用于同时检测多种生物标志物,这表明该技术在高通量疾病诊断应用中具有巨大的潜力。

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