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Label-free colorimetric nanosensor with improved sensitivity for Pb2 + in water by using a truncated 8–17 DNAzyme

  • Abdul Ghaffar Memon
  • Xiaohong Zhou
  • Yunpeng Xing
  • Ruoyu Wang
  • Lanhua Liu
  • Mohsin Khan
  • Miao He
Research Article
  • 4 Downloads

Abstract

Water pollution accidents, such as the Flint water crisis in the United States, caused by lead contamination have raised concern on the safety of drinking water distribution systems. Thus, the routine monitoring of lead in water is highly required and demands efficient, sensitive, cost-effective, and reliable lead detection methods. This study reports a label-free colorimetric nanosensor that uses unmodified gold nanoparticles (AuNPs) as indicators to enable rapid and ultra-sensitive detection of lead in environmental water. The 8–17 DNAzyme was truncated in this study to facilitate the detachment of single-stranded DNA fragments after substrate cleavage in the presence of Pb2+. The detached fragments were adsorbed over AuNPs and protected against salt concentration-induced aggregation. Accordingly, high Pb2+ would result in rapid color change from blue to pink. The established sensing principle achieved a sensitive limit of detection of 0.2×10–9 mol/L Pb2+, with a linear working range of two orders of magnitude from 0.5×10–9 mol/L to 5×10–9 mol/L. The selectivity of the nanosensor was demonstrated by evaluating the interfering metal ions. The developed nanosensor can serve as a substitute for the rapid analysis and monitoring of trace lead levels under the drinking water distribution system and even other environmental water samples.

Keywords

Colorimetric nanosensor Truncated 8–17 DNAzyme Pb2+ detection Unmodified AuNPs 

Notes

Acknowledgements

This research is supported by a Special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control (No. 16Y04ESPCT), and the Major Scientific Equipment Development Project of China (No. 2012YQ030111).

Supplementary material

11783_2019_1094_MOESM1_ESM.pdf (820 kb)
Supporting materials

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Abdul Ghaffar Memon
    • 1
    • 2
  • Xiaohong Zhou
    • 1
  • Yunpeng Xing
    • 1
  • Ruoyu Wang
    • 1
  • Lanhua Liu
    • 1
  • Mohsin Khan
    • 1
  • Miao He
    • 1
  1. 1.Center for Sensor Technology of Environment and Health, State Key Joint Laboratory of ESPC, School of EnvironmentTsinghua UniversityBeijingChina
  2. 2.Department of Environmental EngineeringNED University of Engineering and TechnologyKarachiPakistan

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