Manjarrés-López D P, Peña-Herrera J M, Benejam L, Montemurro N, Pérez S
ONHEALTH, IDAEA-CSIC, c/Jordi Girona 18-26, 08034, Barcelona, Spain.
Universidad Nacional de Colombia, Medellín, Antioquía, Colombia.
Environ Pollut. 2023 May 1;324:121374. doi: 10.1016/j.envpol.2023.121374. Epub 2023 Feb 27.
Riverine fish in densely populated areas is constantly exposed to wastewater-borne contaminants from effluent discharges. These can enter the organism through the skin, gills or by ingestion. Whereas most studies assessing the contaminant burden in exposed fish have focused either on muscle or a limited set of tissues. Here we set out to generate a more comprehensive overview of the distribution of pollutants across tissues by analyzing a panel of matrices including liver, kidney, skin, brain, muscle, heart, plasma and bile. To achieve a broad analyte coverage with a minimal bias towards a specific contaminant class, sample extracts from four fish species were analyzed by High-Performance Liquid Chromatography (HPLC) - high-resolution mass spectrometry (HRMS) for the presence of 600 wastewater-borne pharmaceutically active compounds (PhACs) with known environmental relevance in river water through a suspect-screening analysis. A total of 30 compounds were detected by suspect screening in at least one of the analyzed tissues with a clear prevalence of antidepressants. Of these, 15 were detected at confidence level 2.a (Schymanski scale), and 15 were detected at confidence level 1 following confirmation with authentic standards, which furthermore enabled their quantification. The detected PhACs confirmed with level 1 of confidence included acridone, acetaminophen, caffeine, clarithromycin, codeine, diazepam, diltiazem, fluoxetine, ketoprofen, loratadine, metoprolol, sertraline, sotalol, trimethoprim, and venlafaxine. Among these substances, sertraline stood out as it displayed the highest detection frequency. The values of tissue partition coefficients for sertraline in the liver, kidney, brain and muscle were correlated with its physicochemical properties. Based on inter-matrix comparison of detection frequencies, liver, kidney, skin and heart should be included in the biomonitoring studies of PhACs in riverine fish.
人口密集地区的河鱼不断受到污水排放中废水携带污染物的影响。这些污染物可通过皮肤、鳃或摄食进入生物体。虽然大多数评估受污染鱼类污染物负担的研究都集中在肌肉或一组有限的组织上。在此,我们通过分析包括肝脏、肾脏、皮肤、大脑、肌肉、心脏、血浆和胆汁在内的一系列样本基质,来更全面地了解污染物在各组织中的分布情况。为了在对特定污染物类别偏差最小的情况下实现广泛的分析物覆盖,通过高效液相色谱(HPLC)-高分辨率质谱(HRMS)对四种鱼类的样本提取物进行分析,通过可疑物筛查分析检测河水中600种具有已知环境相关性的废水携带的药物活性化合物(PhACs)。通过可疑物筛查,在至少一种分析组织中总共检测到30种化合物,其中抗抑郁药明显占多数。其中,15种在置信水平2.a(施曼斯基量表)下被检测到,另外15种在使用 authentic标准确认后在置信水平1下被检测到,这进一步实现了它们的定量。经置信水平1确认检测到的PhACs包括吖啶酮、对乙酰氨基酚、咖啡因、克拉霉素、可待因、地西泮、地尔硫卓、氟西汀、酮洛芬、氯雷他定、美托洛尔、舍曲林、索他洛尔、甲氧苄啶和文拉法辛。在这些物质中,舍曲林因其检测频率最高而脱颖而出。舍曲林在肝脏、肾脏、大脑和肌肉中的组织分配系数值与其物理化学性质相关。基于检测频率的基质间比较,肝脏、肾脏、皮肤和心脏应纳入河鱼中PhACs的生物监测研究