4.8 Article

Bacteria-Instructed Click Chemistry between Functionalized Gold Nanoparticles for Point-of-Care Microbial Detection

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 11, Issue 26, Pages 23093-23101

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.9b09279

Keywords

antimicrobial hydrogel; biofilm eradication; chronic wound healing; pH-switchable drug release; nanofibers

Funding

  1. National Natural Science Foundation of China [31500802, 21628201]
  2. Natural Science Foundation of Jiangsu Province [BK20150350]
  3. Funds of Science Technology Department of Zhejiang Province [LGF18H180008]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
  5. 333 Project of Jiangsu Province [BRA2017437]
  6. Jiangsu Key Research and Development Plan (Society Development) [BE2018639]

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Bacterial infections pose mounting public health concerns and cause an enormous medical and financial burden today. Rapid and sensitive detection of pathogenic bacteria at the point of care (POC) remains a paramount challenge. Here, we report a novel concept of bacteria instructed click chemistry and employ it for POC microbial sensing. In this concept of bacteria-instructed click chemistry, we demonstrate for the first time that pathogenic bacteria can capture and reduce exogenous Cu2+ to Cu+ by leveraging their unique metabolic processes. The produced Cu+ subsequently acts as a catalyst to trigger the click reaction between gold nanoparticles (AuNPs) modified with azide and alkyne functional molecules, resulting in the aggregation of nano particles with a color change of the solution from red to blue. In this process, signal amplification from click chemistry is complied with the aggregation of functionalized AuNPs, thus presenting a robust colorimetric strategy for sensitive POC sensing of pathogenic bacteria. Notably, this colorimetric strategy is easily integrated in a smartphone app as a portable platform to achieve one-click detection in a mobile way. Moreover, with the help of the magnetic preseparation process, this smartphone app-assisted platform enables rapid (within 1 h) detection of Escherichia coli with high sensitivity (40 colony-forming units/mL) in the complex artificial sepsis blood samples, showing great potential for clinical early diagnosis of bacterial infections.

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