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Fingerprinting Biogenic Aldehydes Through Pattern Recognition Analyses of Excitation-Emission Matrices.

08:00 EDT 9th August 2018 | BioPortfolio

Summary of "Fingerprinting Biogenic Aldehydes Through Pattern Recognition Analyses of Excitation-Emission Matrices."

Biogenic carbonyls, especially aldehydes, have previously demonstrated the potential to serve as early diagnostic biomarkers for disease and injury, which have not been fully realized due in part to the lack of a rapid and simple point-of-care method of aldehyde identification. The ability to determine which carbonyl compound is elevated, and not just total aldehydic load, may provide more disease- or injury-specific diagnostic information. Toward this end, a novel fluorophore is presented, capable of catalyst-free complexation of biogenic carbonyls that results in a fluorescent fingerprint of the resulting hydrazone. The successful identification of bound carbonyls was accomplished with a newly described algorithm that applies principal curvature analysis of excitation-emission matrices to reduce surface features to ellipse representations, followed by a pattern matching routine. With this algorithm, carbonyls were identified over a range of concentrations, and mixture components were successfully parsed. Overall, the results presented lay the groundwork for novel implementations of chemometrics to low cost, rapid, and simply-implemented point-of-care diagnostics.

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This article was published in the following journal.

Name: Chembiochem : a European journal of chemical biology
ISSN: 1439-7633
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