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基于具有比色光热催化活性的多功能金@铱纳米花的增强免疫层析法检测金黄色葡萄球菌肠毒素 B。

Enhanced immunochromatographic assay using multifunctional gold@iridium nanoflower with colorimetric photothermal catalytic activity for the detection of staphylococcal enterotoxin B.

机构信息

College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China.

College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China.

出版信息

Food Chem. 2024 Dec 1;460(Pt 3):140710. doi: 10.1016/j.foodchem.2024.140710. Epub 2024 Jul 31.

Abstract

The development of a rapid, sensitive, and accurate screening method for staphylococcal enterotoxin B (SEB) in food is urgently needed because trace amounts of SEB can pose a serious threat to human health. Here, we developed a ultrasensitive triple-modal immunochromatographic assay (ICA) for SEB detection. The AuNFs@Ir nanoflowers exhibited enhanced colorimetric, photothermal, and catalytic performance by modulating the sharp branching structure of the gold nanoflowers and depositing high-density Ir atoms. Subsequently, the combination of AuNFs@Ir and ICA promoted colorimetric, catalytic amplified colorimetric, and photothermal-assisted quantitative detection. The results showed detection limits of 0.175, 0.0188, and 0.043 ng mL in the colorimetric/photothermal/catalytic mode, which increased the sensitivity by 16.5-fold, 153.7-fold, and 67.2-fold, respectively, compared with the AuNPs-ICA. Furthermore, the proposed strategy was verified in milk, milk powder, pork, and beef successfully. This strategy improves significantly the sensitivity, accuracy, flexibility and offers an effective insight for foodborne bacterial toxin monitoring.

摘要

由于痕量的 SEB 也可能对人类健康构成严重威胁,因此迫切需要开发一种用于食品中金黄色葡萄球菌肠毒素 B(SEB)的快速、灵敏、准确的筛选方法。在这里,我们开发了一种用于 SEB 检测的超灵敏三模态免疫层析分析(ICA)。通过调节金纳米花的尖锐分支结构并沉积高密度的 Ir 原子,AuNFs@Ir 纳米花表现出增强的比色、光热和催化性能。随后,AuNFs@Ir 和 ICA 的结合促进了比色、催化放大比色和光热辅助定量检测。结果表明,在比色/光热/催化模式下的检测限分别为 0.175、0.0188 和 0.043 ng mL-1,与 AuNPs-ICA 相比,灵敏度分别提高了 16.5 倍、153.7 倍和 67.2 倍。此外,该策略已成功应用于牛奶、奶粉、猪肉和牛肉的验证。该策略显著提高了灵敏度、准确性、灵活性,并为食源性细菌毒素监测提供了有效的见解。

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