Rapid and reliable identification of pathogenic microorganisms is critical for efficient protection of public health and safety. The high versatility of bacterial pathogens allows them to survive in various environments and the emergence of multidrug-resistant species pose a particularly severe threat. Current identification of bacteria largely relies on phenotypic characterization, Gram staining, culturing, and PCR. However, these techniques are time consuming and require trained laboratory personnel and expensive equipment. Thus, there is a tremendous need to develop a simple and efficient bacterial identification method. Recently, a sensing strategy has emerged that utilizes chemicals that do not specifically interact with a particular analyte, but instead react to the general chemical microenvironment. By using a combination of these chemicals, response patterns can be modelled for highly sensitive and specific detection of chemical and biological analytes. These barcoding arrays or so-called ?chemical noses? often rely upon absorbance or fluorescence intensity as the output, which makes them highly susceptible to the sensor concentration. Innovative methods are required to harness the versatility of chemical barcodes and simultaneously eliminate the pitfalls of concentration dependence. The approach we will employ here is to generate chemical barcodes that come from fluorophores with a ratiometric response, i.e. ratio of fluorescence intensities at different wavelengths that depend on the local chemical environment. Moreover, our recent investigations suggest that dye entrapment in polysaccharide-derived nanoparticles will result in sensors that are stable and able to interact with Gram positive and Gram negative bacteria under various conditions. Thus, the overarching goal of this proposal is to design, synthesize, characterize and evaluate a new sensor array that is based on environment-sensitive ratiometric dyes. The proposed approach will provide a versatile platform for express identification of pathogenic microorganisms in a clinical laboratory setting and in the field. We hypothesize that environment-sensitive fluorescent dyes possessing various substituents will exhibit different spectral responses upon interaction with bacterial cell walls. Being combined into an array, these dyes will produce a unique bar code-like spectral fingerprint for various bacteria, enabling their fast detection and identification. This hypothesis will be tested in three aims that are at the interface of chemistry and microbiology.
The first aim i s to develop a fluorescent sensor platform that provides a specific multiparametric spectral response with different bacteria.
The second aim i s to investigate the interactions of the dyes with bacteria to optimize the reproducibility of the sensor response.
The third aim i s to implement the sensor array as a research tool for probing of bacterial cell envelope homeostasis. Achieving these aims will establish a new class of sensors for rapid and robust bacterial pathogen detection and identification.

Public Health Relevance

The high versatility of bacterial pathogens in the hospital and field setting and the emergence of multidrug- resistant species pose a particularly severe threat to public health. Current methods to detect and identify pathogenic bacteria are time consuming and require expensive equipment. The research in this proposal will introduce a chemical barcoding technique based on ratiometric fluorophores. The combined response of these fluorophores creates a ?fingerprint? for each bacterium allowing rapid and robust identification of bacterial pathogens.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB027662-02
Application #
9970492
Study Section
Enabling Bioanalytical and Imaging Technologies Study Section (EBIT)
Program Officer
Atanasijevic, Tatjana
Project Start
2019-07-08
Project End
2023-03-31
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Nebraska Medical Center
Department
Other Basic Sciences
Type
Schools of Pharmacy
DUNS #
168559177
City
Omaha
State
NE
Country
United States
Zip Code
68198