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Published on: March 21, 2018
Core-shell Au@CeO2 nanozyme-mediated aptasensor for dual-mode SERS/colorimetric detection of kanamycin
Shutong Zhang1, Guantong Liu2, Xinge Ju1
1College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2669, Changchun, 130012, People's Republic of China.
None:
Kanamycin (KANA), a widely used aminoglycoside antibiotic, may accumulate in food products and pose potential risks to human health, calling for sensitive and reliable analytical strategies. A dual-mode detection method integrating surface-enhanced Raman spectroscopy (SERS) with colorimetric sensing was developed. This approach enabled sensitive and rapid detection of KANA. A core-shell Au@CeO2 nanozyme-mediated aptasensor was synthesized, which exhibited oxidase-like activity and enhanced SERS performance. Without KANA, adsorption of the aptamer onto the nanozyme surface inhibited the nanozyme-catalyzed oxidation of 3,3',5,5'-tetramethylbenzidine (TMB), leading to a simultaneous decrease in both SERS and colorimetric signals. Under optimized conditions, the aptasensor enabled quantitative KANA analysis with favorable sensitivity and selectivity, achieving limits of detection of 3.20 × 10-10 mol/L (SERS mode) and 5.10 × 10-6 mol/L (colorimetric mode), with linear ranges of 1.00 × 10-9-1.00 × 10-5 mol/ L (SERS) and 5.00 × 10-5-5.00 × 10-3 mol/L (colorimetric). The practicality of this platform was validated in milk and egg white samples, with recoveries ranging from 98.6% to 107.0% in milk and from 95.6% to 105.0% in egg white. In this strategy, Au@CeO2 is designed to function simultaneously as an oxidase-like nanozyme and a SERS-active substrate. Although the two modes differ in sensitivity and linear range, they provide complementary analytical information: the SERS mode is suitable for trace-level quantitative analysis, whereas the colorimetric mode offers an auxiliary visual response at relatively higher KANA concentrations. This work provides a dual-readout approach for KANA analysis in food samples.

