Abstract：
BACKGROUND: The widespread use and abuse of antibiotics has resulted in the pollution of water sources with antibiotic residues, posing a threat to human health, the environment, and the economy. Therefore, a highly sensitive and selective method is required for their detection in water samples. Herein, advanced ultrasensitive electrochemical sensor platform was developed by integrating gold-silver alloy nanocoral clusters (Au-Ag-ANCCs) with functionalized multi-walled carbon nanotube-carbon paste electrode (f-MWCNT-CPE) and choline chloride (ChCl) nanocomposites for simultaneously determining the residues of antimicrobial drugs, rifampicin (RAMP) and norfloxacin (NFX), in water samples.
RESULTS: The developed sensor (Au-Ag-ANCCs/f-MWCNTs-CPE/ChCl) was extensively characterized using several analytical (UV-Vis, FT-IR, XRD, SEM, and EDX) and electrochemical (EIS, CV, and SWV) techniques. It exhibited outstanding performance in a wide linear range, from 14 pM to 115 μM for RAMP, and from 0.9 nM to 200 μM for NFX, with a limit of detection (LOD, 3σ/m, S/N = 3, n = 5) and a limit of quantification (LOQ, 10σ/m, S/N = 3, n = 5) values of 2.7 pM and 8.85 pM for RAMP, and 0.14 nM and 0.47 nM for NFX, respectively. The sensor also exhibited exceptional reproducibility, stability, and resistance to interference.
CONCLUSIONS: The developed sensor was effectively utilized to determine RAMP and NFX residues in hospital wastewater, river, and tap water samples, yielding recoveries within the range of 96.8-103 % and relative standard deviations below 5 %. Generally, the proposed sensor demonstrated remarkable performance in detecting the target analytes, making it an ideal tool and the first of its kind for addressing global antibiotic residue pollutants in water sources.
RESULTS: The developed sensor (Au-Ag-ANCCs/f-MWCNTs-CPE/ChCl) was extensively characterized using several analytical (UV-Vis, FT-IR, XRD, SEM, and EDX) and electrochemical (EIS, CV, and SWV) techniques. It exhibited outstanding performance in a wide linear range, from 14 pM to 115 μM for RAMP, and from 0.9 nM to 200 μM for NFX, with a limit of detection (LOD, 3σ/m, S/N = 3, n = 5) and a limit of quantification (LOQ, 10σ/m, S/N = 3, n = 5) values of 2.7 pM and 8.85 pM for RAMP, and 0.14 nM and 0.47 nM for NFX, respectively. The sensor also exhibited exceptional reproducibility, stability, and resistance to interference.
CONCLUSIONS: The developed sensor was effectively utilized to determine RAMP and NFX residues in hospital wastewater, river, and tap water samples, yielding recoveries within the range of 96.8-103 % and relative standard deviations below 5 %. Generally, the proposed sensor demonstrated remarkable performance in detecting the target analytes, making it an ideal tool and the first of its kind for addressing global antibiotic residue pollutants in water sources.
摘要：
背景：抗生素的广泛使用和滥用导致了抗生素残留对水源的污染，对人类健康构成威胁，环境,和经济。因此,在水样中检测它们需要高度灵敏和选择性的方法。在这里，通过将金银合金纳米珊瑚簇（Au-Ag-ANCCs）与功能化多壁碳纳米管-碳糊电极（f-MWCNT-CPE）和氯化胆碱（ChCl）纳米复合材料集成在一起，开发了先进的超灵敏电化学传感器平台，用于同时测定抗菌药物的残留，利福平（RAMP）和诺氟沙星（NFX），在水样中。
结果：使用多种分析方法（UV-Vis，FT-IR,XRD,SEM,和EDX)和电化学(EIS，CV,和SWV)技术。它在很宽的线性范围内表现出卓越的性能，从14pM到115μM的RAMP，对于NFX，从0.9nM到200μM，具有检测限(LOD，3σ/m,S/N=3，n=5)和定量限(LOQ，10σ/m,S/N=3，n=5）RAMP的2.7pM和8.85pM值，NFX为0.14nM和0.47nM，分别。该传感器还表现出优异的再现性，稳定性,和抗干扰。
结论：开发的传感器被有效地用于测定医院废水中的RAMP和NFX残留物，河,和自来水样本，产率回收率在96.8-103％范围内，相对标准偏差低于5％。一般来说,所提出的传感器在检测目标分析物方面表现出显著的性能，使其成为解决全球水源中抗生素残留污染物的理想工具和首个此类工具。
结果：使用多种分析方法（UV-Vis，FT-IR,XRD,SEM,和EDX)和电化学(EIS，CV,和SWV)技术。它在很宽的线性范围内表现出卓越的性能，从14pM到115μM的RAMP，对于NFX，从0.9nM到200μM，具有检测限(LOD，3σ/m,S/N=3，n=5)和定量限(LOQ，10σ/m,S/N=3，n=5）RAMP的2.7pM和8.85pM值，NFX为0.14nM和0.47nM，分别。该传感器还表现出优异的再现性，稳定性,和抗干扰。
结论：开发的传感器被有效地用于测定医院废水中的RAMP和NFX残留物，河,和自来水样本，产率回收率在96.8-103％范围内，相对标准偏差低于5％。一般来说,所提出的传感器在检测目标分析物方面表现出显著的性能，使其成为解决全球水源中抗生素残留污染物的理想工具和首个此类工具。
