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使用 UHPLC-QTOF-MS 对废水出水进行唑类抗真菌药物的目标定量和其他新兴污染物的回顾性筛选。

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

机构信息

University of South Africa, College of Science Engineering and Technology, Nanotechnology and Water Sustainability Research Unit, UNISA Science Campus, P.O. Box 392, UNISA 0003, Florida, 1709 Johannesburg, South Africa.

University of South Africa, College of Science Engineering and Technology, Nanotechnology and Water Sustainability Research Unit, UNISA Science Campus, P.O. Box 392, UNISA 0003, Florida, 1709 Johannesburg, South Africa.

出版信息

Environ Pollut. 2019 Oct;253:655-666. doi: 10.1016/j.envpol.2019.07.075. Epub 2019 Jul 16.

Abstract

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). 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.

摘要

高分辨率四极杆飞行时间质谱(QTOF-MS)获得的信息允许进行目标分析以及回溯筛查,以检测是否存在未包含在目标分析中的可疑或未知新兴污染物。本工作描述了在废水废水中靶向定量分析八种唑类抗真菌药物以及使用 UHPLC-QTOF-MS 进行新的和相对简单的回溯可疑和非目标筛选新兴污染物的策略。在回溯可疑和非目标筛选中分别包含了 300 多种(母体化合物和转化产物)和 150 个准确质量。根据准确质量、峰强度、空白扣除、同位素模式(mSigma 值)、使用 KEGG 和 CHEBI 等数据库进行化合物注释以及碎片模式解释,对可疑物和未知物进行了初步鉴定。在靶向分析中,在废水废水中检测到克霉唑、氟康唑、伊曲康唑、酮康唑和泊沙康唑,其中氟康唑的平均浓度最高(302.38ng/L)。回溯筛查结果检测到 27 种未包含在目标分析中的化合物。初步鉴定的可疑化合物包括阿扎那韦、西酞普兰、克霉唑、非诺贝特雌二醇、去甲文拉法辛、洛沙坦羧酸和西替利嗪,其中西酞普兰、雌二醇和西替利嗪使用标准品进行了确认。卡马西平、阿特拉津、依非韦伦、洛匹那韦、非索非那定和 5-甲基苯并三唑是通过非目标筛选方法检测到的化合物之一,其中卡马西平使用标准品进行了确认。鉴于在废水中检测到目标抗真菌药物,这些发现呼吁广泛评估它们在水生环境中的存在及其在生态毒理学以及耐药真菌选择中的作用。本工作的发现进一步强调了在高分辨率和高精度质谱数据中应用回溯筛查对环境中更广泛的新兴污染物进行识别所获得的实际益处。

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