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<p>In this work, a new rhodamine derivative <b>R1</b> was constructed to act as a highly effective colorimetric chemosensor for Cu<sup>2+</sup> ions. The introduction of Cu<sup>2+</sup> could lead to the formation of 1:1 metal-ligand complex and the rhodamine ring-opening process. Resultantly, <b>R1</b> displayed marked absorbance and fluorescence enhancement with the addition of Cu<sup>2+</sup> ions. Furthermore, there was a good linear relationship between the absorbance intensity change and the concentration of Cu<sup>2+</sup> ions, which was beneficial for the exactly quantitative detection. <b>R1</b> could serve as practical colorimetric sensors for “in-the-field” measurements that would not require any additional equipment by virtue of “dip-sticks” approach. Especially, the efficient detection of Cu<sup>2+</sup> with <b>R1</b> for the practical application was successfully performed in gas-generating agents detection.</p>

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New Colorimetric Chemosensor for Rapid Naked-Eye Detection of Cu2+ and Its Application in Gas-Generating Agents

  • 期刊论文

  • 发表日期：

    2025年5月21日

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  • Xiaohong Cheng,
  • Jun You,
  • Shaoyong Meng,
  • Wenjie Shen,
  • Tao Du,
  • Wenbin Fu,
  • Yunqiang Luo,
  • Song Wang

摘要

In this work, a new rhodamine derivative R1 was constructed to act as a highly effective colorimetric chemosensor for Cu2+ ions. The introduction of Cu2+ could lead to the formation of 1:1 metal-ligand complex and the rhodamine ring-opening process. Resultantly, R1 displayed marked absorbance and fluorescence enhancement with the addition of Cu2+ ions. Furthermore, there was a good linear relationship between the absorbance intensity change and the concentration of Cu2+ ions, which was beneficial for the exactly quantitative detection. R1 could serve as practical colorimetric sensors for “in-the-field” measurements that would not require any additional equipment by virtue of “dip-sticks” approach. Especially, the efficient detection of Cu2+ with R1 for the practical application was successfully performed in gas-generating agents detection.