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Boosting the Peroxidase‐like Activity of Cobalt Ions by Amino Acid‐based Biological Species and Its Applications
Author(s) -
Guo Yanyan,
Xu Lijun,
Liu Aihua
Publication year - 2020
Publication title -
chemistry – an asian journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.18
H-Index - 106
eISSN - 1861-471X
pISSN - 1861-4728
DOI - 10.1002/asia.201901673
Subject(s) - amino acid , chemistry , tryptophan , enzyme , ternary operation , catalysis , boosting (machine learning) , ternary complex , combinatorial chemistry , peroxidase , biochemistry , machine learning , computer science , programming language
Enzyme mimics have been widely used as alternatives to natural enzymes, owing to their high stability and low cost. However, the activity and atom economy of enzyme mimics still need to be improved. Herein, we report the boosting effects of amino acids, peptides and proteins on the peroxidase‐like activity of Co 2+ . Among 20 amino acids, tryptophan (Trp) enhanced the activity of Co 2+ approximately 8 times and was identified as the best stimulator. The study revealed the synergy of amino acids‐based species and HCO 3 − for efficient catalysis. Co 2+ is proposed to bind simultaneously to HCO 3 − and Trp, and to form a ternary catalyst which facilitates the generation of reactive oxygen species. Based on the selective boosting by Trp, a simple and low‐cost Co 2+ sensor with high sensitivity was developed, which showed a linear range of 10–300 μM and a limit of detection of 0.4 μM for Co 2+ .