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一种用于痕量药物监测的绿色/蓝色超高效液相色谱-串联质谱法的开发与验证

Development and validation of a green/blue UHPLC-MS/MS method for trace pharmaceutical monitoring.

作者信息

Koziarska Marta, Strzebońska Magdalena, Szalińska Ewa

机构信息

Department of Environmental Protection, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Kraków, Al. Mickiewicza 30, Kraków, 30-059, Poland.

出版信息

Sci Rep. 2025 Aug 22;15(1):30902. doi: 10.1038/s41598-025-15614-4.

DOI:10.1038/s41598-025-15614-4
PMID:40847044
Abstract

In response to the growing concerns regarding pharmaceutical contamination of our aquatic systems, targeted actions are being implemented to align with the recommendations of the European Commission. However, a challenge lies in finding effective, accurate, and green chemistry-compliant methods for analyzing these compounds in complex matrices. This study introduces a highly sensitive and sustainable ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for simultaneously determining carbamazepine, caffeine, and ibuprofen in water and wastewater. This method exhibits impressive advantages: exceptional sensitivity, high selectivity, and an economical sample preparation strategy resulting from the absence of an evaporation step after solid-phase extraction (SPE), as well as a short analysis time (10 min). Following the International Council for Harmonization (ICH) guidelines Q2(R2), the developed and validated method proved to be specific, linear (correlation coefficients ≥ 0.999), precise (RSD < 5.0%), and accurate (recovery rates ranging from 77 to 160%). The limits of detection were 300 ng/L for caffeine, 200 ng/L for ibuprofen, and 100 ng/L for carbamazepine, respectively. The limits of quantification (LOQs) were 1000 ng/L for caffeine, 600 ng/L for ibuprofen, and 300 ng/L for carbamazepine. The advanced UHPLC-MS/MS method presented in this article constitutes a green and blue analytical technique for the precise detection and quantification of trace levels of pharmaceutical contaminants in aquatic environments. This method has been validated and exemplified using a case study from the Kraków area, highlighting its high efficiency, reliability, and minimal environmental impact. This approach aligns with the concept of sustainable analytics, combining ecological aspects with high-quality results. This study is therefore crucial for the effective monitoring of pollutants, the assessment of environmental and health risks, and ensuring water quality.

摘要

针对人们对水生系统中药物污染日益增长的担忧,正在采取针对性行动以符合欧盟委员会的建议。然而,挑战在于找到有效、准确且符合绿色化学的方法来分析复杂基质中的这些化合物。本研究介绍了一种高灵敏度且可持续的超高效液相色谱 - 串联质谱法(UHPLC - MS/MS),用于同时测定水和废水中的卡马西平、咖啡因和布洛芬。该方法具有显著优势:灵敏度极高、选择性高,且由于固相萃取(SPE)后无需蒸发步骤,具有经济的样品制备策略,同时分析时间短(10分钟)。遵循国际协调会议(ICH)指南Q2(R2),所开发并验证的方法具有特异性、线性(相关系数≥0.999)、精密度高(RSD<5.0%)且准确度高(回收率在77%至160%之间)。咖啡因的检测限为300 ng/L,布洛芬为200 ng/L,卡马西平为100 ng/L。定量限(LOQ)方面,咖啡因为1000 ng/L,布洛芬为600 ng/L,卡马西平为300 ng/L。本文介绍的先进UHPLC - MS/MS方法构成了一种绿色和蓝色分析技术,用于精确检测和定量水生环境中痕量药物污染物。该方法已通过克拉科夫地区的案例研究进行了验证和举例说明,突出了其高效率、可靠性和最小的环境影响。这种方法符合可持续分析的概念,将生态方面与高质量结果相结合。因此,本研究对于有效监测污染物、评估环境和健康风险以及确保水质至关重要。

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本文引用的文献

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Sci Rep. 2025 Mar 29;15(1):10838. doi: 10.1038/s41598-025-89187-7.
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Green HPLC technique development for the simultaneous determination of the potential combination of Mirabegron and Tamsulosin.用于同时测定米拉贝隆和坦索罗辛潜在组合的绿色高效液相色谱技术开发
Sci Rep. 2025 Feb 27;15(1):7005. doi: 10.1038/s41598-025-89216-5.
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Pharmaceuticals in urban streams: A review of their detection and effects in the ecosystem.
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Water Res. 2025 Jan 1;268(Pt B):122657. doi: 10.1016/j.watres.2024.122657. Epub 2024 Oct 18.
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Analytical Methods for the Determination of Pharmaceuticals and Personal Care Products in Solid and Liquid Environmental Matrices: A Review.分析方法在固体和液体环境基质中的药物和个人护理产品的测定:综述。
Molecules. 2024 Aug 17;29(16):3900. doi: 10.3390/molecules29163900.
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Current green capillary electrophoresis and liquid chromatography methods for analysis of pharmaceutical and biomedical samples (2019-2023) - A review.当前用于分析药物和生物医学样品的绿色毛细管电泳和液相色谱方法(2019-2023)综述。
Anal Chim Acta. 2024 Sep 22;1323:342889. doi: 10.1016/j.aca.2024.342889. Epub 2024 Jun 20.
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