恩诺沙星
残留物(化学)
石墨烯
胶体金
材料科学
生物传感器
磁性纳米粒子
纳米颗粒
纳米技术
化学
色谱法
有机化学
生物化学
抗生素
环丙沙星
作者
Fei Liu,Ragini Singh,Qinghua Zeng,Guoru Li,Rui Min,Bingyuan Zhang,Santosh Kumar
出处
期刊:ACS applied nano materials
[American Chemical Society]
日期:2024-04-23
卷期号:7 (9): 10144-10154
被引量:3
标识
DOI:10.1021/acsanm.4c00573
摘要
Enrofloxacin (ENR) is a commonly used veterinary antibiotic and poses a health risk when present as residues in food. This study describes a dual-mode immunochromatographic test strip (DITS) biosensor for the detection of ENR residues in food. Magnetic graphene oxide nanoparticles (MGO-NPs) are two-dimensional magnetic nanomaterials with a large specific surface area and fine biocompatibility, which can better provide more adsorption points for biological antibodies. Gold nanoparticles (AuNPs) can stimulate the localized surface plasmon resonance effect under laser irradiation, which will increase the temperature to achieve photothermal conversion. The photothermal conversion efficiency of MGO-NPs can be effectively enhanced by combining AuNPs with MGO-NPs to form MGO@Au nanocomposites (MGO@Au-NCs). Then, MGO@Au-NCs were combined with an ENR monoclonal antibody to form the MGO@Au@Ab probe, and the MGO@Au@Ab-DITS biosensor was developed. The biosensor was employed to assess ENR samples spanning concentrations from 0 to 1000 μg/mL. Sample solutions containing ENR were mixed with the MGO@Au@Ab solution, deposited on the test strip's sample pad, and analyzed using both colorimetric and photothermal methods employing an 808 nm infrared laser in a photothermal infrared imaging instrument. The results show that the sensitivity of the photothermal mode sensor is 0.0159°C whereas, the standard deviation (SD) and limit of detection (LOD) is 0.058 and 10.89 μg/mL, respectively with quantification limit (LOQ) of 36.31 μg/mL. In colorimetric mode, the sensitivity of the developed sensor is 5.222 au, with SD, LOD and LOQ of 40.13, 23.05 μg/mL, and76.85 μg/mL, respectively. This innovative MGO@Au@Ab-DITS system has been effectively applied to detect ENR residues in food samples such as juice and milk, laying the groundwork for the detection of other drug residues in food.
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