Premium
Point‐of‐Care Identification of Bacteria Using Protein‐Encapsulated Gold Nanoclusters
Author(s) -
Ji Haiwei,
Wu Li,
Pu Fang,
Ren Jinsong,
Qu Xiaogang
Publication year - 2018
Publication title -
advanced healthcare materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.288
H-Index - 90
eISSN - 2192-2659
pISSN - 2192-2640
DOI - 10.1002/adhm.201701370
Subject(s) - nanoclusters , nanotechnology , identification (biology) , bacteria , point of care , sensor array , materials science , biosensor , computational biology , computer science , biology , medicine , machine learning , genetics , nursing , botany
The rapid, simple, and reliable identification of the most prevalent pathogens is essential for clinical diagnostics, biology, and food safety. Herein, four protein‐encapsulated gold nanoclusters (protein–AuNCs) are designed and prepared as a sensor array for rapid identification of bacteria. The discrimination of six kinds of bacteria, including two kinds of drug‐resistant bacteria, is successfully realized by the as‐fabricated sensor array. The strategy presented here shows the advantages of easy synthesis and convenient to use. Furthermore, 100% classification accuracy is achieved by the sensor array consisting of two protein–AuNCs probes, demonstrating the design with sufficient diagnostic capacity. Taken together, the developed sensor array holds great promise for facile diagnosis of bacterial infection in resource‐limited settings.