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Target quantification of azole antifungals and retrospective screening of other emerging pollutants in wastewater effluent using UHPLC-QTOF-MS

机译:使用UHPLC-QTOF-MS对唑类抗真菌药进行目标定量并追溯筛选废水中的其他新兴污染物

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The information acquired by high resolution quadrupole-time of flight mass spectrometry (QTOF-MS) allows target analysis as well as retrospective screening for the presence of suspect or unknown emerging pollutants which were not included in the target analysis. Targeted quantification of eight azole antifungal drugs in wastewater effluent as well as new and relatively simple retrospective suspect and non-target screening strategy for emerging pollutants using UHPLC-QTOF-MS is described in this work. More than 300 (parent compounds and transformation products) and 150 accurate masses were included in the retrospective suspect and non-target screening, respectively. Tentative identification of suspects and unknowns was based on accurate masses, peak intensity, blank subtraction, isotopic pattern (mSigma value), compound annotation using data bases such as KEGG and CHEBI, and fragmentation pattern interpretation. In the targeted analysis, clotrimazole, fluconazole, itraconazole, ketoconazole and posaconazole were detected in the effluent wastewater sample, fluconazole being with highest average concentration (302.38 ng L-1). The retrospective screening resulted in the detection of 27 compounds that had not been included in the target analysis. The suspect compounds tentatively identified included atazanavir, citalopram, climbazole, bezafibrate estradiol, desmethylvenlafaxine, losartan carboxylic acid and cetirizine, of which citalopram, estradiol and cetirizine were confirmed using a standard. Carbamazepine, atrazine, efavirenz, lopinavir, fexofenadine and 5-methylbenzotriazole were among the compounds detected following the non-targeted screening approach, of which carbamazepine was confirmed using a standard. Given the detection of the target antifungals in the effluent, the findings are a call for a wide assessment of their occurrence in aquatic environments and their role in ecotoxicology as well as in selection of drug resistant fungi. The findings of this work further highlights the practical benefits obtained for the identification of a broader range of emerging pollutants in the environment when retrospective screening is applied to high resolution and high accuracy mass spectrometric data. (C) 2019 Elsevier Ltd. All rights reserved.
机译:通过高分辨率四极杆飞行时间质谱(QTOF-MS)获得的信息可以进行目标分析以及追溯筛查是否存在目标分析中未包括的可疑或未知新兴污染物。这项工作描述了废水中八种唑类抗真菌药的目标定量以及使用UHPLC-QTOF-MS对新兴污染物进行新的和相对简单的追溯可疑和非目标筛查策略。追溯可疑和非目标筛选分别包括300多种(母体化合物和转化产物)和150准确质量。对可疑物和未知物的初步鉴定是基于准确的质量,峰强度,空白扣除,同位素模式(mSigma值),使用诸如KEGG和CHEBI的数据库进行的化合物注释以及碎片模式的解释。在目标分析中,在废水样品中检测到克霉唑,氟康唑,伊曲康唑,酮康唑和泊沙康唑,氟康唑的平均浓度最高(302.38 ng L-1)。回顾性筛选导致检测到目标分析中未包含的27种化合物。初步鉴定出的可疑化合物包括阿扎那韦,西酞普兰,克霉唑,苯扎贝特雌二醇,去甲基文拉法辛,氯沙坦羧酸和西替利嗪,其中西酞普兰,雌二醇和西替利嗪已通过标准确认。非目标筛选方法检测到的化合物包括卡马西平,阿特拉津,依法韦仑,洛匹那韦,非索非那定和5-甲基苯并三唑,其中使用标准品确认了卡马西平。鉴于在废水中检测到了目标抗真菌剂,这些发现呼吁广泛评估其在水生环境中的发生情况及其在生态毒理学和耐药真菌选择中的作用。这项工作的发现进一步强调了将追溯筛查应用于高分辨率和高精度质谱数据时,在识别环境中更广泛的新兴污染物方面所获得的实际好处。 (C)2019 Elsevier Ltd.保留所有权利。

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