Population Analysis to Increase the Robustness of Molecular Computational Identification and its Extension into the Near-infrared for Substantial Numbers of Small Objects

Chaoyi Yao, Jue Ling, Linyihong Chen, Amilra De Silva

Research output: Contribution to journalArticle

2 Citations (Scopus)
173 Downloads (Pure)


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.

Original languageEnglish
JournalChemical Science
Early online date16 Jan 2019
Publication statusEarly online date - 16 Jan 2019



  • molecular logic, molecular computational identification

Cite this