A SPR biosensor based on signal amplification using antibody-QD conjugates for quantitative determination of multiple tumor markers.
A SPR biosensor based on signal amplification using antibody-QD conjugates for quantitative determination of multiple tumor markers.
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基于信号放大的 SPR 生物传感器，使用抗体-QD 缀合物定量测定多种肿瘤标志物
DOI：
10.1038/srep33140
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发表时间：
2016-09-12
影响因子：
4.6
通讯作者：
Yao C
中科院分区：
文献类型：
--
作者：
Wang H;Wang X;Wang J;Fu W;Yao C
肿瘤标志物在早期癌症诊断中非常重要固有的优势是高通量，实时和无标签的技术。在临床样品中使用α-五蛋白（AFP），癌蛋白（AFP），癌症抗原（CEA）和细胞角蛋白片段21-1（CYFRA 21-1）的敏感和定量检测。增加了50倍的信号扩增。电化学方法，构造的SPR生物传感器为检测肿瘤标记提供了高度敏感的和特异性的方法。筛选。
The detection of tumor markers is very important in early cancer diagnosis; however, tumor markers are usually present at very low concentrations, especially in the early stages of tumor development. Surface plasmon resonance (SPR) is widely used to detect biomolecular interactions; it has inherent advantages of being high-throughput, real-time, and label-free technique. However, its sensitivity needs essential improvement for practical applications. In this study, we developed a signal amplification strategy using antibody-quantum dot (QD) conjugates for the sensitive and quantitative detection of α-fetoprotein (AFP), carcinoembryonic antigen (CEA) and cytokeratin fragment 21-1 (CYFRA 21-1) in clinical samples. The use of a dual signal amplification strategy using AuNP-antibody and antibody-QD conjugates increased the signal amplification by 50-folds. The constructed SPR biosensor showed a detection limit as low as 0.1 ng/mL for AFP, CEA, and CYFRA 21-1. Moreover, the results obtained using this SPR biosensor were consistent with those obtained using the electrochemiluminescence method. Thus, the constructed SPR biosensor provides a highly sensitive and specific approach for the detection of tumor markers. This SPR biosensor can be expected to be readily applied for the detection of other tumor markers and can offer a potentially powerful solution for tumor screening.
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影响因子：
6.2
作者：
Anderson, George P.;Glaven, Richard H.;Goldman, Ellen R.
通讯作者：
Goldman, Ellen R.
影响因子：
46.9
作者：
Han, MY;Gao, XH;Nie, S
通讯作者：
Nie, S
影响因子：
12.6
作者：
Jin, Li-Hua;Li, Song-Mei;Cho, Yong-Hoon
通讯作者：
Cho, Yong-Hoon
影响因子：
12.6
作者：
Liu, Fei;Wong, Matthew Man-Kin;Pang, Stella W.
通讯作者：
Pang, Stella W.
影响因子：
14.8
作者：
Cai, Weibo;Chen, Xiaoyuan
通讯作者：
Chen, Xiaoyuan