Classification of Spectroscopically Encoded Resins by Raman Mapping and Infrared Hyperspectral Imaging

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DOIResolve DOI: http://doi.org/10.1021/cc050128i
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TypeArticle
Journal titleJournal of Combinatorial Chemistry
ISSN1520-4766
Volume8
Issue2
Pages192198; # of pages: 7
AbstractBarcoded resins (BCRs) were recently introduced as a potential platform for pre-encoded multiplexed synthesis, screening, and biomedical diagnostics. A key step toward the development of this strategy is the ability to rapidly interrogate and classify the BCRs in a high-throughput, noninvasive manner. Here, we describe a one-step strategy based on Raman mapping and Fourier transform infrared imaging to classify and spatially resolve randomly distributed BCRs. To illustrate this methodology, mixtures of up to 25 different BCRs were imaged and classified with 100% confidence. This strategy can be readily extended to a larger pool of resins, provided each BCR features a unique vibrational fingerprint (spectroscopic barcode). We have also established that reliable single-bead Raman spectra can be recorded in 10 ms, thus confirming that Raman mapping, in particular, could be a very fast method to classify the BCRs.
Publication date
AffiliationNational Research Council Canada; National Institute for Nanotechnology
Peer reviewedNo
Identifier18517171
NPARC number12330216
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Record identifierc1083f36-7504-480c-86b8-4dff48c1bbbc
Record created2009-09-10
Record modified2016-05-09
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