Scholarlink

<p> A novel bimetallic nanozyme (Pt/Cu-loaded MOF, MOF-Pt@Cu) has been synthesized and integrated in immunomagnetic beads (IMB) for <i>Salmonella</i> detection. Through the integration of bimetallic catalytic effects and portable instruments, this approach demonstrates unique advantages in the rapid detection of <i>Salmonella</i>. The enhanced peroxidase activity of bimetallic nanoenzymes, combined with their high stability, significantly improves detection sensitivity, with a detection limit as low as 2.4 CFU/mL for <i>Salmonella</i>. In addition, the recoveries in milk and chicken samples averaged 105.59% and 102.17% (RSD ≤ 5.80%), confirming reliability, demonstrating good reliability and practicality. A low-cost, palm-sized device was developed to display real-time test data and convert signals into bacterial concentrations via smartphone. The simple process and minimal hardware requirements demonstrate strong potential for field-deployable pathogen detection.</p> Graphical abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A portable colorimetric biosensor using MOF-Pt@Cu for Salmonella detection

  • 期刊论文

  • 发表日期：

    2025年11月21日

查看全文
  • Xiang Li,
  • Xi Zheng,
  • Shuhan Wang,
  • Yanhui Yuan,
  • Jiahui Deng,
  • Liang Su,
  • Xiaodong Jiang,
  • Kun Xu

摘要

A novel bimetallic nanozyme (Pt/Cu-loaded MOF, MOF-Pt@Cu) has been synthesized and integrated in immunomagnetic beads (IMB) for Salmonella detection. Through the integration of bimetallic catalytic effects and portable instruments, this approach demonstrates unique advantages in the rapid detection of Salmonella. The enhanced peroxidase activity of bimetallic nanoenzymes, combined with their high stability, significantly improves detection sensitivity, with a detection limit as low as 2.4 CFU/mL for Salmonella. In addition, the recoveries in milk and chicken samples averaged 105.59% and 102.17% (RSD ≤ 5.80%), confirming reliability, demonstrating good reliability and practicality. A low-cost, palm-sized device was developed to display real-time test data and convert signals into bacterial concentrations via smartphone. The simple process and minimal hardware requirements demonstrate strong potential for field-deployable pathogen detection.

Graphical abstract