Buffer species-dependent catalytic activity of Cu-Adenine as a laccase mimic for constructing sensor array to identify multiple phenols.

ABSTRACT

Laccase mimics are multicopper oxidase highly important for biotechnology and environmental evaluation/remediation. However, buffer species-dependent catalytic activity is rarely investigated. Herein, through Cu2+ coordinating with adenine (A), gram-scale Cu-Adenine nanosheets are synthesized. As a laccase mimic, Cu-Adenine exhibits excellent catalytic performance in 10 mM Tris-HAc, and greatly decreases in 10 mM MES (4-morpholine ethanesulfonic acid) and further decreases in 10 mM HEPES (N-2-hydroxyethyl piperazine-N'-2-ethanesulfonic acid) (pH = 7, 25 °C). Moreover, upon gradually increasing NaCl to 500 mM, the catalytic activity further enhances. Such the buffer species/NaCl concentration-dependent catalytic activity is explained with the help of Km (Michaelis constant) and Vmax (maximum rate value) Based on the fact that Cu-Adenine could differentially catalyze phenolic substrates (2,4-dichlorophenol (2,4-DP), o-chlorophenol (o-CP), m-chlorophenol (m-CP), p-chlorophenol (p-CP), phenol and catechol), a colorimetric sensor array with three buffer solutions as sensing channels is designed for simultaneously discriminating 2,4-DP, o-CP, m-CP, p-CP, phenol and catechol as low as 10 µM, even quantifying 2,4-DP (as a model analyst). The performance is further validated through accurately identifying binary and ternary mixtures, and even 18 blind samples containing one of six phenols and ternary mixtures. Finally, the designed sensor array is successfully applied for identifying six representative phenols in various simulated water samples, presenting great potential and valuable applications for large-scale scanning levels of phenols in water samples.