<p>Tetracycline (TC) is commonly used to treat diseases and promote animal growth. However, excessive use of TC has resulted in too much residues in environment and food, posing a serious threat to human health. Therefore, the sensitive detection of TC is of great importance. In this work, an ultraviolet A fluorescent polyethyleneimine-capped silver nanoclusters (PEI-AgNCs) was utilized for TC sensing. The fluorescence intensity of PEI-AgNCs decreased with the addition of TC due to the inner filter effect (IFE). This enabled sensitive and selective TC detection with a limit of detection (LOD) of 140&#xa0;nM. Other TCs also have the ability to quench the fluorescence and it can be a potential assay for TCs. Furthermore, this approach was effectively used in detecting TCs in real samples demonstrating the potential application in complex samples. This study developed a novel TCs detection method with higher sensitivity, lower cost, and faster response, showing promising applications in environmental monitoring and food analysis.</p> Graphical Abstract <p></p>

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Sensitive and Selective Detection of Tetracyclines in Milk Based on a Polyethyleneimine-Capped Silver Nanoclusters through the Inner Filter Effect

  • Qingfeng Zhang,
  • Meng Wang,
  • Meizhen Fu,
  • Siqi Yan,
  • Ziqiang Yuan,
  • Yunyi Zhang,
  • Jingjun Ma,
  • Tuantuan Ren

摘要

Tetracycline (TC) is commonly used to treat diseases and promote animal growth. However, excessive use of TC has resulted in too much residues in environment and food, posing a serious threat to human health. Therefore, the sensitive detection of TC is of great importance. In this work, an ultraviolet A fluorescent polyethyleneimine-capped silver nanoclusters (PEI-AgNCs) was utilized for TC sensing. The fluorescence intensity of PEI-AgNCs decreased with the addition of TC due to the inner filter effect (IFE). This enabled sensitive and selective TC detection with a limit of detection (LOD) of 140 nM. Other TCs also have the ability to quench the fluorescence and it can be a potential assay for TCs. Furthermore, this approach was effectively used in detecting TCs in real samples demonstrating the potential application in complex samples. This study developed a novel TCs detection method with higher sensitivity, lower cost, and faster response, showing promising applications in environmental monitoring and food analysis.

Graphical Abstract