@article{344b74ad18644ab6a3b0e3d40c358fae,
title = "Ratiometric Fluorescent Sensor Array as a Versatile Tool for Bacterial Pathogen Identification and Analysis",
abstract = "Rapid and reliable identification of pathogenic microorganisms is of great importance for human and animal health. Most conventional approaches are time-consuming and require expensive reagents, sophisticated equipment, trained personnel, and special storage and handling conditions. Sensor arrays based on small molecules offer a chemically stable and cost-effective alternative. Here we present a ratiometric fluorescent sensor array based on the derivatives of 2-(4′-N,N-dimethylamino)-3-hydroxyflavone and investigate its ability to provide a dual-channel ratiometric response. We demonstrate that, by using discriminant analysis of the sensor array responses, it is possible to effectively distinguish between eight bacterial species and recognize their Gram status. Thus, multiple parameters can be derived from the same data set. Moreover, the predictive potential of this sensor array is discussed, and its ability to analyze unknown samples beyond the list of species used for the training matrix is demonstrated. The proposed sensor array and analysis strategies open new avenues for the development of advanced ratiometric sensors for multiparametric analysis.",
keywords = "3-hydroxyflavone, ESIPT, Gram status, chemical nose, discriminant analysis, multiparametric sensing, pattern analysis, predictive analysis",
author = "Denis Svechkarev and Sadykov, {Marat R.} and Bayles, {Kenneth W.} and Mohs, {Aaron M.}",
note = "Funding Information: This work was funded in part by the Nebraska Research Initiative to A.M.M. and research grants from the National Institutes of Health (P30 CA036727 (Fred & Pamela Buffett Cancer Center), 1S10RR17846, and 1S10RR027940) and the National Institute of Allergy and Infectious Diseases (P01 AI83211 and R01 AI125589 to K.W.B.). The authors would like to thank Nicholas Conoan of the Electron Microscopy Core Facility (EMCF) at the University of Nebraska Medical Center for technical assistance. The EMCF is supported by state funds from the Nebraska Research Initiative (NRI) and the University of Nebraska Foundation, and institutionally by the Office of the Vice Chancellor for Research. The authors acknowledge William Payne for technical assistance during preliminary experiments. Funding Information: This work was funded in part by the Nebraska Research Initiative to A.M.M. and research grants from the National Institutes of Health (P30 CA036727 (Fred & Pamela Buffett Cancer Center), 1S10RR17846 and 1S10RR027940) and the National Institute of Allergy and Infectious Diseases (P01 AI83211 and R01 AI125589 to K.W.B.). The authors would like to thank Nicholas Conoan of the Electron Microscopy Core Facility (EMCF) at the University of Nebraska Medical Center for technical assistance. The EMCF is supported by state funds from the Nebraska Research Initiative (NRI) and the University of Nebraska Foundation and institutionally by the Office of the Vice Chancellor for Research. The authors acknowledge William Payne for technical assistance during preliminary experiments. Publisher Copyright: {\textcopyright} 2018 American Chemical Society.",
year = "2018",
month = mar,
day = "23",
doi = "10.1021/acssensors.8b00025",
language = "English (US)",
volume = "3",
pages = "700--708",
journal = "ACS Sensors",
issn = "2379-3694",
publisher = "American Chemical Society",
number = "3",
}