Classification of spectroscopically encoded resins by Raman mapping and infrared hyperspectral imaging

Journal of Combinatorial Chemistry
Hicham FenniriMichael D Morris

Abstract

Barcoded 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.

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Citations

Feb 26, 2009·Journal of Combinatorial Chemistry·Christopher M SnivelyJohn F Rabolt
Feb 10, 2009·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Dakota A WatsonJohn P Nolan
Jun 21, 2008·Biotechnology Journal·David R BlaisJohn Paul Pezacki
Sep 11, 2016·Trends in Biotechnology·Jessica E FitzgeraldHicham Fenniri
Dec 7, 2018·The Cochrane Database of Systematic Reviews·Jan BosteelsBen Willem J Mol
Feb 22, 2017·RSC Advances·J E Fitzgerald, H Fenniri
Feb 15, 2007·Journal of Combinatorial Chemistry·Bong-Hyun JunYoon-Sik Lee
May 4, 2007·Langmuir : the ACS Journal of Surfaces and Colloids·Jose RaezHicham Fenniri

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