首页> 外文会议>International Conference on Environmental Science and Technology >(00375)Identification of Biotransformation Products of Veterinary Drugs Present in Piggery Wastewater during Treatment with Photobioreactors based on Microalgae-Bacteria and Purple Phototrophic Bacteria Consortia
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(00375)Identification of Biotransformation Products of Veterinary Drugs Present in Piggery Wastewater during Treatment with Photobioreactors based on Microalgae-Bacteria and Purple Phototrophic Bacteria Consortia

机译:(00375)在微藻细菌和紫色光养细菌结合治疗期间,在用光生物反应器治疗过程中鉴定猪肉废水中存在的兽药药物的生物转化产品

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This work identified transformation products (TPs)from 16 antibiotics, 1 anti-parasitic, 1 analgesic and 1 hormone, present in spiked real piggery wastewater (PWW)before and after two different treatments in two open photobioreactors operated continuously with a consortium of microalgae-bacteria and purple photosynthetic bacteria. For this purpose, suspect and non-target strategies based on liquid chromatography quadrupole-time-of-flight mass spectrometry (LC-QTOF-MS)were used. The application of quantitative structure-retention relationship (QSRR)prediction models, in addition to a comprehensive evaluation of the obtained MS/MS spectra, provided valuable information to support the identifications. The confirmation of the TPs was carried out with the corresponding reference standards, when these were commercially available. Alternatively, probable structures of the TPs based on diagnostic evidence were proposed. To the best of our knowledge, some of the identified TPs have never been reported before. A transformation pathway for their biotransformation has been proposed. The presence of the identified TPs was assessed in real PWW samples through retrospective analysis. Ultimately, the potential ecotoxicological risk posed by these nineteen veterinary drugs and their TPs was evaluated by means of risk quotients.
机译:该工作确定了来自16个抗生素,1个抗寄生,1次镇痛和1个激素的转化产品(TPS),其在连续使用微藻的联盟的两个开放式光生物反应器中出现尖刺的真皮废水(PWW)。细菌和紫色光合细菌。为此目的,使用基于液相色谱四极其飞行时间质谱(LC-QTOF-MS)的可疑和非目标策略。定量结构保留关系(QSRR)预测模型的应用,除了所获得的MS / MS光谱的综合评估之外,提供了有价值的信息来支持标识。当这些产品可获得时,通过相应的参考标准进行TPS的确认。或者,提出了基于诊断证据的TPS的可能结构。据我们所知,一些已识别的TPS从未报告过。已经提出了一种转化途径,已经提出了它们的生物转化。通过回顾性分析,在实际PWW样品中评估所识别的TPS的存在。最终,通过风险标本评估这些九岁兽药和其TPS的潜在生态毒理学风险。

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