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创新利用碳纳米纤维/镨钴矿对血液中磺胺甲噁唑的靶向检测

Innovative Use of Carbon Nanofibers/Praseodymium Cobaltite for Targeted Detection of Hematologic Sulfamethazine.

机构信息

Nano Inspired Laboratory, School of Integrated Technology, Yonsei University, Incheon 21983, Republic of Korea.

Department of Materials and Mineral Resources Engineering, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei 106, Taiwan.

出版信息

Langmuir. 2024 Oct 15;40(41):21618-21628. doi: 10.1021/acs.langmuir.4c02638. Epub 2024 Oct 3.

Abstract

Antibiotics are essential for treating illnesses, but abuse has resulted in serious consequences. Rapid and precise detection of antibiotic residues, such as sulfamethazine (SFZ), in water and biological samples is critical for public health and environmental safety. To address this challenge, we have introduced a pioneering electrochemical sensor incorporating a nanocomposite of perovskite-structured praseodymium cobaltite (PrCoO) integrated with carbon nanofibers (CNFs) on a glassy carbon electrode (GCE|CNF/PrCoO). We synthesized the CNF/PrCoO nanocomposite using ultrasonic fabrication and confirmed its formation with advanced techniques. GCE|CNF/PrCoO offer superior SFZ detection with a 2.889 nM/L limit and high selectivity, due to PrCoO's electrocatalytic properties and CNF's enhanced conductivity. We validated the sensor's effectiveness in detecting SFZ in various real-water samples, demonstrating its repeatability, reproducibility, and stability. This confirms its reliability for environmental monitoring. The study highlights the potential of perovskite-carbon composites and paves the way for developing cost-effective sensors for pharmaceutical contaminants.

摘要

抗生素对于治疗疾病至关重要,但滥用已导致严重后果。快速、准确地检测水中和生物样本中的抗生素残留(如磺胺甲恶唑 (SFZ))对于公共卫生和环境安全至关重要。为应对这一挑战,我们引入了一种开创性的电化学传感器,该传感器将钙钛矿结构的镨钴氧化物 (PrCoO) 与碳纤维 (CNF) 的纳米复合材料集成在玻碳电极 (GCE|CNF/PrCoO) 上。我们使用超声制造合成了 CNF/PrCoO 纳米复合材料,并通过先进技术确认了其形成。由于 PrCoO 的电催化性能和 CNF 的增强导电性,GCE|CNF/PrCoO 提供了优越的 SFZ 检测,其检测限低至 2.889 nM/L,且具有高选择性。我们验证了传感器在各种实际水样中检测 SFZ 的有效性,证明了其重复性、重现性和稳定性。这证实了其用于环境监测的可靠性。该研究突出了钙钛矿-碳复合材料的潜力,为开发用于药物污染物的经济高效传感器铺平了道路。

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