Classification of spectroscopically encoded resins by Raman mapping and infrared hyperspectral imaging.
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.
Fenniri
Hicham
H
National Institute of Nanotechnology, National Research Council (NINT-NRC) and Department of Chemistry, University of Alberta, ECERF: 9107-116 Street, Edmonton, Alberta T6G 2V4, Canada. hicham.fenniri@ualberta.ca
Terreau
Owen
O
Chun
Sangki
S
Oh
Sung Joon
SJ
Finney
William F
WF
Morris
Michael D
MD
D008958:Models, Molecular; D012117:Resins, Synthetic / Q000138:chemical synthesis / Q000737:chemistry*; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods; D013059:Spectrum Analysis, Raman / Q000379:methods; D020058:Styrene
D012117:Resins, Synthetic; D020058:Styrene