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Towards the DRED of Resin‐Supported Combinatorial Libraries: A Non‐Invasive Methodology Based on Bead Self‐Encoding and Multispectral Imaging
Author(s) -
Fenniri Hicham,
Hedderich Hartmut G.,
Haber Kenneth S.,
Achkar Jihane,
Taylor Brian,
BenAmotz Dor
Publication year - 2000
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/1521-3773(20001215)39:24<4483::aid-anie4483>3.0.co;2-4
Subject(s) - multispectral image , bead , encoding (memory) , computer science , nanotechnology , materials science , artificial intelligence , composite material
Can you tell who I am under the million dresses I wear? Multispectral imaging can identify resin beads based on the vibrational fingerprint of their polymeric constituents and regardless of their cargo. This is the cornerstone of a dual recursive deconvolution strategy of combinatorial libraries generated through split synthesis.