Bicycled Hairpin Assembly-Mediated SERS/Colorimetric Dual-Mode Sensor for the Detection of Dexamethasone in Milk and Pork

检出限 化学 选择性 色谱法 纳米颗粒 拉曼光谱 拉曼散射 材料科学 催化作用 纳米技术 有机化学 光学 物理
作者
Rui Tan,Ziji Oubu,Qun Zhou,絹代 鈴木,Chenxi Yi,Xiaojun Luo
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:73 (19): 11972-11982 被引量:11
标识
DOI:10.1021/acs.jafc.5c03268
摘要

The presence of dexamethasone (DEX) residues and the illegal addition of DEX to food have garnered widespread public concern over recent decades. Based on the bicycled hairpin assembly (BHA) mechanism and the catalytic oxidase effect of urchin-shaped Au-Ag alloy loaded with Pt nanoparticles (Au@Ag@Pt), an accurate and ultrasensitive surface-enhanced Raman scattering (SERS)/colorimetric dual-mode method for DEX detection is pioneered. When DEX is introduced into the sensor system, the BHA cycle begins. The Fe3O4 nanosphere loaded with Au nanoparticles (Fe3O4@Au) surface facilitates the anchoring of a large amount of Au@Ag@Pt, resulting in synergistic signal amplification and facile magnetic separation from the complex system. Finally, the collected product effectively catalyzes the conversion of 3,3',5,5'-tetramethylbenzidine (TMB) to the oxidized product, producing a strong SERS response, an ultraviolet-visible absorption signal, and color deepening. Our dual-mode platform achieves ultrasensitive detection of DEX, achieving a detection limit (LOD) of 6.61 × 10-17 M within the broad range of 10-16 to 10-9 M for SERS and a LOD of 8.81 × 10-13 and 6.98 × 10-13 M within the range of 10-12-10-5 M for the colorimetric method. Additionally, this platform shows high selectivity and satisfactory recovery rates for DEX in milk and pork samples, with recoveries of 92.3%-106.5% (RSDs <8.35%) for SERS and 95.2%-107.6% (RSDs <8.81%) for colorimetric analysis. This study demonstrates that by combining the BHA amplification process with multifunctional Au@Ag@Pt and Fe3O4@Au substrates, the DEX content in actual food samples can be accurately determined using a dual-mode approach that combines the high sensitivity of SERS with the simplicity of colorimetric analysis.
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