• Journal of Inorganic Materials
  • Vol. 34, Issue 8, 893 (2019)
Sheng-Song LI1, Yong-Chao ZHENG1、2, Shu-Lin MENG3, Li-Zhu WU3, Jin- Yi ZHONG1、2, and Chong-Lin ZHAO1、2、*
Author Affiliations
  • 1Research Institute of Chemical Defense, Academy of Military Science, Beijing 102205, China
  • 2State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China
  • 3Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China
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    DOI: 10.15541/jim20180486 Cite this Article
    Sheng-Song LI, Yong-Chao ZHENG, Shu-Lin MENG, Li-Zhu WU, Jin- Yi ZHONG, Chong-Lin ZHAO. Core/Shell Quantum Dots and Au Nanoparticles Assembly for Effective Detection of Nerve Agent Mimic[J]. Journal of Inorganic Materials, 2019, 34(8): 893 Copy Citation Text show less

    Abstract

    A novel assembly of CdSe/12ZnS core/shell quantum dots (CdSe/12ZnS QDs) and gold nanoparticles (Au NPs) was constructed for highly sensitive detection of nerve agent mimic diethyl cyanophosphonate (DCNP). Due to fluorescence resonance energy transfer (FRET) from CdSe/12ZnS QDs to Au NPs, the emission intensity of QDs was quenched. Thiocholine generated in situ from acetylcholinesterase (AChE) and acetylthiocholine (ATC) would destroy the assembly structure to recover the emission of QDs. However, diethyl cyanophosphonate (DCNP) could inhibit the activity of AChE, thus leading to the suppressed fluorescence recovery. Therefore, the detection of DCNP was achieved by evaluating fluorescence recovery efficiency of QDs. Optimally, a linear relationship between fluorescence recovery efficiency of QDs and logarithmic concentration of DCNP was observed in a range of 5.0×10 -9 mol/L to 5.0×10 -4 mol/L. As a result, the limit of detection (LOD) was deternimed to be as low as 5.0×10 -9 mol/L.
    Sheng-Song LI, Yong-Chao ZHENG, Shu-Lin MENG, Li-Zhu WU, Jin- Yi ZHONG, Chong-Lin ZHAO. Core/Shell Quantum Dots and Au Nanoparticles Assembly for Effective Detection of Nerve Agent Mimic[J]. Journal of Inorganic Materials, 2019, 34(8): 893
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