Use of quantum dot beads-labeled monoclonal antibody to improve the sensitivity of a quantitative and simultaneous immunochromatographic assay for neuron specific enolase and carcinoembryonic antigen

Use of quantum dot beads-labeled monoclonal antibody to improve the sensitivity of a quantitative and simultaneous immunochromatographic assay for neuron specific enolase and carcinoembryonic antigen
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使用量子点珠标记的单克隆抗体提高神经元特异性烯醇化酶和癌胚抗原定量同步免疫层析测定的灵敏度

DOI:
10.1016/j.talanta.2016.12.003
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发表时间:
2017-03-01
期刊:
影响因子:
6.1
通讯作者:
Cui, Daxiang
Cui, Daxiang
中科院分区:
化学1区
文献类型:
--
作者:
Xiao, Kun;Wang, Kan;Cui, Daxiang

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多种肿瘤标志物的检测对肿瘤的诊断具有重要意义。免疫层析试纸条(ICTS)是最常用的床旁检测手段。本文以量子点微球(QBs)为标记物,建立了一种基于ICTS的神经元特异性烯醇化酶(NSE)和癌胚抗原(CEA)同时定量检测的简便、快速方法。使用良好的单分散性、高胶体稳定性和羧基改性的(COOH-)QB。对于该方法,将两条测试线应用于NC膜以分别同时分析CEA和NSE。CEA和NSE的理想检测限分别为0.0378 ng/mL和0.0426 ng/mL,几乎没有交叉反应。在“Handing”系统的配合下,无需专业人员操作,即可方便地读出硝酸纤维素膜的荧光信号强度。通过对100份临床人血清的检测,验证了该平台的临床应用价值。结果表明,该平台对CEA和NSE的敏感性分别为99%和97%,特异性分别为97%和100%。结果表明,基于QBs的ICTS不仅具有同时检测CEA和NSE的敏感性和特异性,而且有望发展成为肺癌早期诊断的常规方法。
Detection of multiplex tumor markers was of great importance for cancer diagnosis. Immunochromatographic test strip (ICTS) was the most frequently-used point-of-care detection means. Herein, a convenient and fast method for simultaneous quantitative detection of neuron specific enolase (NSE) and carcinoembryonic antigen (CEA) was developed based on ICTS using quantum dot beads (QBs) as marking material. Good monodispersity, high colloidal stability and carboxyl-modified (COOH-) QBs were used. For this method, two test lines were applied to the NC membrane for simultaneous analysis of CEA and NSE respectively. The ideal limit of CEA and NSE detection was 0.0378 ng/mL and 0.0426 ng/mL with scarcely any cross-reactivity. Moreover, the fluorescent signal intensity of the nitrocellulose membrane could be easily read out in the cooperation of the "Handing" system without professional operators. The possible clinical utilization of this platform was demonstrated by detecting 100 clinic human serums. The result showed that the platform had sensitivity of 99% and 97% for CEA and NSE, while the specificity was 97% and 100% respectively. Our results indicated that the QBs based ICTS not only owning the ability of sensitive and specific simultaneous detection of CEA and NSE, but also showing the potential in developing this ICTS into a routine part of early lung cancer diagnosis.