4.8 Article

Quantum dots-labeled strip biosensor for rapid and sensitive detection of microRNA based on target-recycled nonenzymatic amplification strategy

Journal

BIOSENSORS & BIOELECTRONICS
Volume 87, Issue -, Pages 931-940

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.09.043

Keywords

MicroRNA detection; Strip biosensor; Quantum dots; Nonenzymatic amplification

Funding

  1. National Natural Science Foundation of China [21475048]
  2. National Science Fund for Distinguished Young Scholars of Guangdong Province [2014A030306008]
  3. Project of Guangzhou Science and Technology Plan [201508020003]
  4. Program of the Pearl River Young Talents of Science and Technology in Guangzhou [2013J2200021]
  5. Special Support Program of Guangdong Province [2014TQ01R599]
  6. Outstanding Young Teacher Training Program of Guangdong Province [HS2015004]

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MicroRNAs (miRNAs) have been proved to be potential biomarkers in early cancer diagnosis. It is of great significance for rapid and sensitive detection of miRNAs, particularly with point-of-care (POC) diagnosis. Herein, it is the first time to construct quantum dots (QDs)-labeled strip biosensor based on target-recycled nonenzymatic amplification strategy for miRNA detection. In the system, QDs were served as bright, photostable signal labels, which endow this biosensor with good detection efficiency. Moreover, a target recycled amplification strategy relies on sequence-specific hairpins strand displacement process without the assistance of enzymes, was introduced to further improve the sensitivity. Meanwhile eliminating the requirement of environment-susceptible enzyme protein makes it easy to preserve and enhances the stability and reproducibility of this sensor. Benefiting from these outstanding characteristics, this platform exhibited a good detection sensitivity range from 2 fmol to 200 fmol with a limit of 200 amol, using only 20 mu L of sample within 80 min. The assay was also 10-fold more sensitive than that with a conventional colloidal gold-based test strip for miRNA detection. Additionally, the analysis of miRNA in various tumor cell extracts was in accordance with the performance of quantitative realtime polymerase chain reaction (qRT-PCR). Clinical tumor samples were also tested, and 16 of 20 samples gave out positive signals, which demonstrated the practical application capacity of the biosensor. Therefore, the proposed biosensor holds great promise for potential POC applications and early cancer diagnosis.

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