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基于cyclic cucurbit[n]uril的传感器阵列用于识别和区分抗菌剂
Hong-Lin Zhong1, Hao Li1, Li-Xiang Tan1
1Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering & Pharmacy, Wuhan Institute of Technology, 693 Xiongchu Avenue, Wuhan 430073, PR China.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|November 6, 2025
概括
一个新的传感器阵列有效地识别和量化10种抗微生物药物,即使在复杂的混合物中. 这项技术为环境监测抗微生物残留物提供了快速,灵敏的解决方案.
科学领域:
- 分析化学 分析化学
- 环境科学 环境科学
- 生物技术是生物技术.
背景情况:
- 抗微生物药物耐药性是由于抗微生物药物的过度使用而造成的日益增长的全球健康威胁.
- 环境中的抗微生物残留物是类似化合物的复杂混合物,很难用传统方法检测到.
研究的目的:
- 开发一种传感器阵列,用于准确识别和定量多种抗菌剂.
- 为了应对在环境样本中检测结构相似的抗微生物化合物的挑战.
主要方法:
- 使用两个非循环酸盐主机和三个光指示器开发传感器阵列.
- 利用主机-客户复杂化和竞争性位移来生成信号.
- 用已知的抗菌剂和真实水样来测试阵列的准确性,灵敏性和强度.
主要成果:
- 传感器阵列在区分所有10种经过测试的抗菌剂方面实现了100%的准确性.
- 检测极限低于监管水平,使得定量度的确定.
- 该阵列在真实水样中成功分析了抗微生物的二进制混合物,证明了其强度.
结论:
- 传感器阵列显示出识别和区分具有相似结构的复杂抗微生物混合物的巨大潜力.
- 开发的传感器阵列提供了一种快速,灵敏,负担得起和便携式的方法,用于环境监测抗微生物污染.
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