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Fluorescence-quenching Based Signal Amplification on Immunochromatography Test Strip for Dual-Mode Sensing Two Biomarkers of Breast Cancer

Abstract

Recently immunochromatography test strip (ICTS) has been reached full development for point-of-care testing (POCT). However, the intrinsic limitations including nonquantitative detection of colloidal gold ICTS and low sensitivity of fluorescence ICTS (FICTS) significantly restrict their further application in clinical diagnosis. Taking advantages of rapid colorimetric qualitation and fluorescent quantitation, we designed a kind of sensitive and dual-mode magnetic FICTS (mFICTS) based on the PLGA@Fe3O4 super-paramagnetic nanosphere (SPMN) probes quenching multiplex fluorescers on test line through sandwich immunoreactions. Owing to the much Fe3O4 nanoparticles (about 47) encapsulated in one SPMN, about 2680 Cy5 molecules were quenched by one SPMN on test line so as to significantly improve the analytical sensitivity, as well as the detection of whole blood sample via magnetic separation. And meanwhile, the aggregation of black SPMN on test line enabled a quick naked-eye screening in 3 min. For the high accuracy of breast cancer diagnosis, the combined determination of carcinoembryonic antigen (CEA) and carbohydrate antigen (CA153) was performed on one mFICTS with the limits of detection about 0.06 ng/mL and 0.09 U/mL, respectively. Then, more than 50 clinical serum samples were investigated for high-resolution screening by mFICTS and the results were coincident with those by electrochemiluminescence immunoassay (ECLIA). So the designed mFICTS is suitable for point-of-care diagnostics.

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Publication details

The article was received on 12 Sep 2017, accepted on 05 Nov 2017 and first published on 08 Nov 2017


Article type: Paper
DOI: 10.1039/C7NR06781J
Citation: Nanoscale, 2017, Accepted Manuscript
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    Fluorescence-quenching Based Signal Amplification on Immunochromatography Test Strip for Dual-Mode Sensing Two Biomarkers of Breast Cancer

    B. Zhang, W. Gao, Q. Zhao, W. Peng, W. Ma, J. Piao, X. Wu, H. Wang, F. Li, X. Gong and J. Chang, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR06781J

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