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Poly(thymine)-CuNPs: Bimodal Methodology for Accurate and Selective Detection of TNT at Sub-PPT Levels

  • Jianyu Hu
    Jianyu Hu
    College of Architecture & Environment, Sichuan University, Chengdu 610064, China
    More by Jianyu Hu
  • Chaoqun Wang
    Chaoqun Wang
    Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
    More by Chaoqun Wang
  • Rui Liu*
    Rui Liu
    Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
    *(R.L.) Tel/Fax: +86-28-8541-2398. E-mail: [email protected]
    More by Rui Liu
  • Yingying Su
    Yingying Su
    Analytical & Testing Center, Sichuan University, Chengdu 610064, China
    More by Yingying Su
  • , and 
  • Yi Lv*
    Yi Lv
    Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
    Analytical & Testing Center, Sichuan University, Chengdu 610064, China
    *(Y.L.) Tel/Fax: +86-28-8541-2798. E-mail: [email protected]
    More by Yi Lv
Cite this: Anal. Chem. 2018, 90, 24, 14469–14474
Publication Date (Web):November 21, 2018
https://doi.org/10.1021/acs.analchem.8b04161
Copyright © 2018 American Chemical Society
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Abstract

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Accurate, sensitive, and selective detection of explosives is of vital importance in antiterrorism and homeland security. Fluorescence sensors are prevalent for sensitive and fast in-field explosive detection but are sometimes compromised by accuracy and stability due to the similar structures of explosives, photobleaching, and complex sample matrixes. Herein, we developed a first bimodal methodology capable of both sensitive in-field fluorescence detection and accurate laboratory mass spectrometric quantification of 2,4,6-trinitrotoluene (TNT) by utilizing the characteristic fluorescent and mass spectrometric response of copper nanoparticles (CuNPs). An excellent selectivity was also realized by involving aptamer recognition. The methodology is capable of detecting TNT at subpart per trillion (PPT) levels, with a detection limit of 0.32 pg mL–1 by inductively coupled plasma mass spectrometry (ICPMS) and 0.17 ng mL–1 by fluorimetry. The signal response was accurate and stable for at least 60 days by ICPMS. Thanks to the biospecificity of the aptamer, this bimodal methodology is potentially applicable to a large panel of explosives.

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The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.analchem.8b04161.

  • DNA sequence, EDS mapping images, operating conditions of ICPMS, additional spectra data and ICPMS intensity data, real sample detection tables, and condition optimizations (PDF)

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This article is cited by 12 publications.

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  3. Jianyu Hu, Min Jiang, Rui Liu, Yi Lv. Label-Free CRISPR/Cas9 Assay for Site-Specific Nucleic Acid Detection. Analytical Chemistry 2019, 91 (16) , 10870-10878. https://doi.org/10.1021/acs.analchem.9b02641
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  6. Chung‐An Chen, Shih‐Chia Chen, Muhammad J. A. Shiddiky, Chien‐Fu Chen, Kevin C.‐W. Wu. DNA‐Templated Copper Nanoprobes: Overview, Feature, Application, and Current Development in Detection Technologies. The Chemical Record 2020, 20 (3) , 174-186. https://doi.org/10.1002/tcr.201900022
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  8. Shunbi Xie, Jin Zhang, Liumei Teng, Wei Yuan, Ying Tang, Qin Peng, Qinchun Tang. Electrochemical detection of lipopolysaccharide based on rolling circle amplification assisted formation of copper nanoparticles for enhanced resistance generation. Sensors and Actuators B: Chemical 2019, 301 , 127072. https://doi.org/10.1016/j.snb.2019.127072
  9. Chunlei Ma, Wensheng Ren, Jianke Tang, Xiaoli Wang, Dongxin Ji, Rongqian Meng, Cuihong Zhang, Qi Wang. Copper nanocluster‐based fluorescence enhanced determination of d ‐penicillamine. Luminescence 2019, 34 (7) , 767-773. https://doi.org/10.1002/bio.3672
  10. Chaoqun Wang, Rui Liu, Jianyu Hu, Yi Lv. Ratiometric DNA Walking Machine for Accurate and Amplified Bioassay. Chemistry – A European Journal 2019, 25 (53) , 12270-12274. https://doi.org/10.1002/chem.201903034
  11. Rui Liu, Ziyan Li, Zili Huang, Kun Li, Yi Lv. Biosensors for explosives: State of art and future trends. TrAC Trends in Analytical Chemistry 2019, 118 , 123-137. https://doi.org/10.1016/j.trac.2019.05.034
  12. Rui Dai, Pingyue Hu, Xiu Wang, Shixin Wang, Xinmei Song, Ke Huang, Piaopiao Chen. Visual/CVG-AFS/ICP-MS multi-mode and label-free detection of target nucleic acids based on a selective cation exchange reaction and enzyme-free strand displacement amplification. The Analyst 2019, 144 (14) , 4407-4412. https://doi.org/10.1039/C9AN00642G

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