Determination of melamine in milk based on β-cyclodextrin modified carbon nanoparticles via host-guest recognition

Illegal addition of melamine (MEL) to milk has caused serious food safety accident. It is urgent to develop a highly sensitive method for detecting MEL in milk. beta-Cyclodextrin with inner hydrophobic and outer hydrophilic cavities have been widely used in smart sensors design. In this study, an ON-OFF-ON sensor for MEL detection was constructed based on beta-cyclodextrin modified carbon nanoparticles (beta-CD-CNPs). The sensor is switched OFF when Fe3+ interacts with beta-CD-CNPs and switched ON when MEL replaces Fe3+. Fluorescence recovery of beta-CD-CNPs exhibits good linear correlations with MEL concentration ranging from 10.00 ng/mL similar to 180.00 ng/ mL and 180.00 similar to 1000.00 ng/mL, the detection limit is 6.82 ng/mL. The sensor was applied to analysis melamine in milk samples with recovery between 94.80% similar to 102.05%, and RSD bellow 12.61%. The results show that this method can meet the requirements of real sample analysis.

Automated summary

The study developed an ON-OFF-ON sensor for detecting melamine in milk samples based on beta-cyclodextrin modified carbon nanoparticles. The sensor showed good linear correlations with melamine concentration and had a low detection limit. Results demonstrated that the method could meet the requirements of real sample analysis with high accuracy and stability.