The present invention relates to the technical field of environmental and food
pollution detection, and particularly relates to a method for constructing a dual-mode detection of
neonicotinoid pesticide residues based on waste tobacco-based
biomass carbon dots. In the present invention, waste tobacco by-products (such as leaves and stems) are used as raw materials to synthesize waste tobacco-based
biomass carbon dots (CDs), which have the activities of oxidase-like (OD) and
peroxidase-like (POD). On this basis, taking
imidacloprid (IMI) as a
neonicotinoid pesticide model, a highly efficient, low-cost, green and
environmentally friendly detection of
neonicotinoid pesticide residues in medicated and edible homologous samples such as wolfberry,
honeysuckle, and notoginseng is established based on the dual
enzyme-like activities of OD-like and POD-like of waste tobacco-based
biomass carbon dots, driven by two detection
modes:
ultraviolet spectral
absorbance and
fluorescence spectral
fluorescence intensity. The present invention combines the advantages of
colorimetry and fluorimetry, with a dual-ratio built-in reference, effectively avoiding the false positive phenomenon caused by external
signal interference, while also enhancing the sensitivity and specificity of the detection and avoiding the occurrence of false negatives.