Analytical and Bioanalytical Chemistry

, Volume 411, Issue 10, pp 2131–2140 | Cite as

Quantitative and rapid detection of amantadine and chloramphenicol based on various quantum dots with the same excitations

  • Sanlei Xie
  • Kai Wen
  • Sihan Wang
  • Jianyi Wang
  • Tao Peng
  • Ghulam Mujtaba Mari
  • Jiancheng Li
  • Zhanhui Wang
  • Xuezhi YuEmail author
  • Haiyang JiangEmail author
Research Paper


Herein, we developed a sensitive and quantitative flow assay for simultaneous detection of amantadine (AMD) and chloramphenicol (CAP) in chicken samples based on different CdSe/ZnS quantum dots (QDs). In contrast to other reports, the QDs could be excited by the same excitations that lowered the requirements for the matching instruments. Under the optimal conditions, the strategy permitted sensitive detection of AMD and CAP in a linear range of 0.23 to 1.02 ng/g and 0.02 to 0.66 ng/g. The limits of detection were 0.18 ng/g and 0.016 ng/g, respectively. Moreover, the whole detection process could be completed within 20 min with no additional sophisticated instruments and complicated operations. Spiked samples were analyzed using both QD-based lateral flow immunoassay (QD-LFIA) and commercial ELISA kits with good correlation (R2 = 0.96). Moreover, this study laid the foundation and simplified the development of the requisite instrument.

Graphical abstract


Simultaneous detection Multiplex LFIA Quantum dots Fluorescence 


Funding information

This research was supported by the National Natural Science Foundation of China (Nos. 31672600 and 31472236).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Human and/or animal participation

This article does not contain any studies with human participants performed by any of the authors.

Supplementary material

216_2019_1643_MOESM1_ESM.pdf (441 kb)
ESM 1 (PDF 440 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Sanlei Xie
    • 1
    • 2
  • Kai Wen
    • 1
    • 2
  • Sihan Wang
    • 1
    • 2
  • Jianyi Wang
    • 1
    • 2
  • Tao Peng
    • 1
    • 2
  • Ghulam Mujtaba Mari
    • 1
    • 2
  • Jiancheng Li
    • 1
    • 2
  • Zhanhui Wang
    • 1
    • 2
  • Xuezhi Yu
    • 1
    • 2
    Email author
  • Haiyang Jiang
    • 1
    • 2
    Email author
  1. 1.Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary MedicineChina Agricultural UniversityBeijingChina
  2. 2.Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and SafetyBeijingChina

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