Please use this identifier to cite or link to this item: https://doi.org/45/455102
Title: Carbon nanotube-based labels for highly sensitive colorimetric and aggregation-based visual detection of nucleic acids
Authors: Lee, A.C.
Ye, J.-S. 
Tan, S.N.
Poenar, D.P.
Sheu, F.-S. 
Heng, C.K.
Lim, T.M. 
Issue Date: 14-Nov-2007
Source: Lee, A.C.,Ye, J.-S.,Tan, S.N.,Poenar, D.P.,Sheu, F.-S.,Heng, C.K.,Lim, T.M. (2007-11-14). Carbon nanotube-based labels for highly sensitive colorimetric and aggregation-based visual detection of nucleic acids. Nanotechnology 18 (45) : -. ScholarBank@NUS Repository. https://doi.org/45/455102
Abstract: A novel carbon nanotube (CNT) derived label capable of dramatic signal amplification of nucleic acid detection and direct visual detection of target hybridization has been developed. Highly sensitive colorimetric detection of human acute lymphocytic leukemia (ALL) related oncogene sequences amplified by the novel CNT-based label was demonstrated. Atomic force microscope (AFM) images confirmed that a monolayer of horseradish peroxidase and detection probe molecules was immobilized along the carboxylated CNT carrier. The resulting CNT labels significantly enhanced the nucleic acid assay sensitivity by at least 1000 times compared to that of conventional labels used in enzyme-linked oligosorbent assay (ELOSA). An excellent detection limit of 1 × 10 -12 M (60 × 10-18 mol in 60 μl) and a four-order wide dynamic range of target concentration were achieved. Hybridizations using these labels were coupled to a concentration-dependent formation of visible dark aggregates. Targets can thus be detected simply with visual inspection, eliminating the need for expensive and sophisticated detection systems. The approach holds promise for ultrasensitive and low cost visual inspection and colorimetric nucleic acid detection in point-of-care and early disease diagnostic application. © IOP Publishing Ltd.
Source Title: Nanotechnology
URI: http://scholarbank.nus.edu.sg/handle/10635/100214
ISSN: 09574484
DOI: 45/455102
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