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Population analysis to increase the robustness of molecular computational identification and its extension into the near-infrared for substantial numbers of small objects

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Abstract

The first population analysis is presented for submillimetric polymer beads which are tagged with five multi-valued logic gates, YES, 2YES + PASS 1, YES + PASS 1, YES + 2PASS 1 and PASS 1 with H+ input, 700 nm near-infrared fluorescence output and 615 nm red excitation light as the power supply. The gates carry an azaBODIPY fluorophore and an aliphatic tertiary amine as the H+ receptor where necessary. Each logic tag has essentially identical emission characteristics except for the H+-induced fluorescence enhancement factors which consistently map onto the theoretical predictions, after allowing for bead-to-bead statistical variability for the first time. These enhancement factors are signatures which identify a given bead type within a mixed population when examined with a ‘wash and watch’ protocol under a fluorescence microscope. This delineates the scope of molecular computational identification (MCID) for encoding objects which are too small for radiofrequency identification (RFID) tagging.

Graphical abstract: Population analysis to increase the robustness of molecular computational identification and its extension into the near-infrared for substantial numbers of small objects

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Publication details

The article was received on 12 Dec 2018, accepted on 10 Jan 2019 and first published on 16 Jan 2019


Article type: Edge Article
DOI: 10.1039/C8SC05548C
Citation: Chem. Sci., 2019, Advance Article
  • Open access: Creative Commons BY-NC license
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    Population analysis to increase the robustness of molecular computational identification and its extension into the near-infrared for substantial numbers of small objects

    C. Yao, J. Ling, L. Chen and A. P. de Silva, Chem. Sci., 2019, Advance Article , DOI: 10.1039/C8SC05548C

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