4.8 Article

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

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 11, 期 26, 页码 23093-23101

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.9b09279

关键词

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

资金

  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]

向作者/读者索取更多资源

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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