One-step online analysis of antibiotics in highly saline seawater by nano-based slug-flow microextraction

Meng Zhang, Ruonan Shang, Ziying Hong,Hong Zhang,Kai Yu,Guangfeng Kan, Huixia Xiong,Daqian Song,Yanxiao Jiang,Jie Jiang

JOURNAL OF HAZARDOUS MATERIALS(2024)

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摘要
The transition to mass spectrometry (MS) in the analysis of antibiotics in the marine environment is highly desirable, particularly in the enhancement of sensitivity for high -salinity (3.5 wt%) seawater samples. However, the persistence of complex operational procedures poses substantial challenges to this transition. In this study, a rapid method for the online analysis of antibiotics in seawater samples via nano-electrospray ionization (nESI) MS based on slug -flow microextraction (SFME) has been proposed. Comparisons with other methods, complex laboratory setups for sample processing are now seamlessly integrated into a single online step, completing the entire process, including desalination and detection, SFME-nESI-MS provides faster results in less than 2 min while maintaining sensitivity comparable to that of other detection methods. Using SFME-nESI, six antibiotics in high -salinity (3.5 wt%) seawater samples have been determined in both positive and negative ion modes. The proposed method successfully detected clarithromycin, ofloxacin, and sulfadimidine in seawater within a linear range of 1-1000 ng mL-1 and limit of detection (LOD) of 0.23, 0.06, and 0.28 ng mL-1, respectively. The method recovery was from 92.8% to 107.3%, and the relative standard deviation was less than 7.5%. In addition, the response intensity of SFME-nESI-treated high -salinity (3.5 wt%) samples surpassed that of untreated mediumsalinity (0.35 wt%) samples by two to five orders of magnitude. This advancement provides an exceptionally simplified protocol for the online rapid, highly sensitive, and quantitative determination of antibiotics in highsalinity (3.5 wt%) seawater.
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关键词
Liquid -phase microextraction,Ambient ionization mass spectrometry,Online detection,Marine contaminants,Quantitative analysis
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