Literature DB >> 21279241

Simultaneous detection of two lung cancer biomarkers using dual-color fluorescence quantum dots.

Huan Li1, Zhijuan Cao, Yuhao Zhang, Choiwan Lau, Jianzhong Lu.   

Abstract

Quantum dots (QDs) have the potential to simplify the performance of multiplexed analysis. In this work, a novel protocol for performing a simultaneous dual-protein immunoassay, i.e. two lung cancer biomarkers, carcinoembryonic antigen (CEA) and neuron-specific enolase (NSE), based on dual-color QDs, is described. First, two capture antibodies (both with biotin tags), two antigens and two detection antibodies were mixed together and the sandwich complexes were thus formed in the homogeneous solution, and then streptavidin coated polystyrene beads were directly added into the resultant system. Bead aggregation can be made self-limiting by controlling the shaker speed during the immunoassay. A distinct transition occurs between limited and complete aggregation as a function of the shaker speed during the immunoassay. Second, dual-color QDs with emission maxima at 525 and 655 nm were added after washing and reacted with the corresponding detection antibodies. Third, the bead-QD conjugates were dissociated in the dissociation buffer and then free QDs were directly used for the fluorescence detection of CEA and NSE. The results show that CEA and NSE could be sensitively determined with a common 96-well fluorescence plate reader and with equal detection limits down to the 1.0 ng mL(-1) level. Within the calibrated amount, the protocol had excellent precision within 0.53% for each target and was comparable in performance to commercial single-analyte ELISAs. Furthermore, the proposed method has been successfully applied to the determination of dual markers in real samples without cross-reaction, and a good correlation was achieved after comparison with the conventional assay for CEA and NSE in 25 human serum samples. © The Royal Society of Chemistry 2011

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Year:  2011        PMID: 21279241     DOI: 10.1039/c0an00704h

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


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