Sensitive colorimetric and fluorescence dual-mode detection of thiophanate-methyl based on spherical Fe3O4/GONRs composite nanozyme.

Pesticide detection based on nanozyme is largely limited in terms of the variety of pesticides. Herein, a spherical and well-dispersed Fe3O4/graphene oxide nanoribbons (Fe3O4/GONRs) composite nanozyme was applied to firstly develop an enzyme-free and sensitive colorimetric and fluorescence dual-mode detection of thiophanate-methyl (TM). The synthesized Fe3O4/GONRs possess excellent dual enzyme-like activities (peroxidase and catalase) and can catalyze H2O2 to oxidize 3,3',5,5'-tetramethylbenzidine (TMB) into oxidized TMB (oxTMB). We found that Fe3O4/GONRs can adsorb TM through the synergistic effect of multiple forces, thereby inhibiting the catalytic activities of nanozyme. This inhibition can modulate the transformation of TMB to oxTMB, producing dual responses of absorbance decrease (oxTMB) and fluorescence enhancement (TMB). The limits of detection (LODs) of TM were 28.1 ng/mL (colorimetric) and 8.81 ng/mL (fluorescence), respectively. Moreover, the developed method with the recoveries of 94.8-100.8% also exhibited a good potential application in the detection of pesticides residues in water and food samples.

A colorimetric sensor array based on nanoceria crosslinked and heteroatom-doped graphene oxide nanoribbons for the detection and discrimination of multiple pesticides.

Nanozymes have demonstrated high potential in constructing colorimetric sensor array for pesticides. However, rarely array for pesticides constructed without bio-enzyme were reported. Herein, nanoceria crosslinked graphene oxide nanoribbons (Ce-GONRs) and heteroatom-doped graphene oxide nanoribbons (Ce-BGONRs and Ce-NGONRs) were prepared, demonstrating excellent peroxidase-like activities. A colorimetric sensor array was developed based on directly inhibiting the peroxidase-like activities of the above three nanozymes, which realized the discrimination and quantitative analysis of six pesticides. In the presence of pesticides including carbaryl (Car), fluroxypyr-mepthyl (Flu), thiophanate-methyl (Thio), thiram (Thir), diafenthiuron (Dia) and fomesafen (Fom), the peroxidase-like activities of three nanozymes were inhibited to different degrees, resulting in different fingerprint responses. The six pesticides in the concentration range of 0.1-50 µg/mL and two pesticides mixtures at varied ratios could be detected and discriminated, and minimum detection limit for pesticides was 0.022 µg/mL. In addition, this sensor array has been successfully applied for pesticides discrimination in lake water and apple samples. This work provided a new strategy of constructing simple and sensitive colorimetric sensor array for pesticides based on directly inhibiting the catalytic activities of nanozymes.

Highly selective and sensitive colorimetric detection for glyphosate based on ß-CD@DNA-CuNCs enzyme mimics.

A colorimetric assay based on an enzyme-inhibition strategy is promising for the on-site detection of pesticide residues. However, very few works of pesticide detection were reported based on the inhibition toward nanozymes although nanozymes have demonstrated many advantages in sensing various targets. Herein, a facile colorimetric detection for Glyp was developed based on ß-CD@DNA-CuNCs enzyme mimics. The ß-CD@DNA-CuNCs with high peroxidase-like activity was synthesized using random DNA double strands as template and ß-CD as surface ligand. ß-CD@DNA-CuNCs could catalyze the H2O2-3,3',5,5'-tetramethylbenzidine (TMB) system. The oxidation product OxTMB with a blue color and presented a large absorption signal at 652 nm. However, Glyp could destroy the synergic effect between redox doublet (Cu2+/Cu+) on the ß-CD@DNA-CuNCs surface, resulting in the inhibition of the peroxidase-like activity. Colorimetric detection for Glyp could be established by detecting the changes of absorption signal at 652 nm. The linear range was 0.02-2 µg/mL and the detection limit was 0.85 ng/mL (3δ/s). The method was applied in measuring Glyp spiked in lake water and various food samples. This method had rapidness, high sensitivity, and selectivity advantages, indicating the high application potential in monitoring Glyp residue in food.