A fluorescent sensor array for highly efficient microbial lysates identification through competitive interactions.
Authors of this article are:
Shen J, Hu R, Zhou T, Wang Z, Zhang Y, Li S, Gui C, Jiang M, Qin A, Tang BZ.
A summary of the article is shown below:
Optical cross-reactive sensor array has recently been proven to be a powerful tool for high-throughput bioanalytes identification. Nevertheless, identification and classification of microbes, especially using microbial lysates as the analytes, still is a great challenge due to their complex composition. Herein, we achieve this goal by using the AIEgens and graphene oxide (GO) to construct a microbial lysate responsive fluorescent sensor array. The combination of AIEgen with GO not only reduces the background signal but also induces the competition interactions among AIEgen, microbial lysates and GO, which highly improve the discrimination ability of the sensor array. As a result, six microbes, including two fungi, two gram-positive and two gram-negative bacteria are precisely identified. Thus, this work provides a new way to design safer and simpler sensor array for the discrimination of complex analytes.
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