<p>Residues of pesticides represent a notable hazard to both human health and ecological systems. Conventional approaches employed for the detection of organophosphorus pesticides (OPs) tend to be cumbersome and costly. Currently, a multitude of colorimetric methods have been established to detect OPs, most of which are based on the inhibition of natural enzyme activity by pesticides, which carries the risk of producing false positive signals. There are also methods for directly constructing nanozyme colorimetric biosensors, but the catalytic activity of some nanozymes is not ideal. Here, we have developed a colorimetric sensor array based on sea urchin-shaped CuCo₂O₄ nanoflowers. CuCo bimetallic oxides exhibit stronger peroxidase-like activity than single-metal oxides. OPs can inhibit the peroxidase-like activity of CuCo₂O₄ nanoflowers, and different types of OPs inhibit nanoenzymes to varying degrees. Based on this characteristic, CuCo₂O₄ was combined with three types of peroxidases, TMB, OPD, and ABTS, to construct a sensor array. The sensor array not only distinguishes and identifies six types of OPs simultaneously, but also distinguishes between different proportions of mixed pesticides. The CuCo₂O₄ sensor array has also been successfully applied to actual samples, distinguishing six types of OPs in apples and lettuce. This work has great application potential in the fields of food safety and environmental monitoring.</p>