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一种用于废水中氧化应激生物标志物分析的超高效液相色谱串联质谱法。

An ultra-high-performance liquid chromatography tandem mass spectrometry method for oxidative stress biomarker analysis in wastewater.

机构信息

Department of Chemistry, University of Bath, Bath, BA2 7AY, UK.

Centre for Doctoral Training in Sustainable Chemical Technologies, University of Bath, Bath, BA2 7AY, UK.

出版信息

Anal Bioanal Chem. 2019 Apr;411(11):2261-2271. doi: 10.1007/s00216-019-01667-8. Epub 2019 Feb 23.

Abstract

Reported herein is the development of an analytical method for the detection of four oxidative stress biomarkers in wastewater using ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) and solid phase extraction (SPE). The following four biomarkers of oxidative stress and lipid peroxidation have been investigated: hydroxynonenal-mercapturic acid (HNE-MA), 8-iso-prostglandin F2beta (8-iso-PGF), 8-nitroguanine (8-NOGua) and 8-hydroxy-2-deoxyguanosine (8-OHdG). The method showed very good performance: accuracy (> 87%), precision (> 90%), method quantification limits (1.3-3.0 ng L) and biomarker stability in wastewater in the case of HNE-MA, 8-OHdG and 8-iso-PGF. In contrast, 8-NOGua was found to be less stable in wastewater, which affected its method performance: accuracy (> 63%), precision (> 91%) and method quantification limits (85.3 ng L). Application of the developed method resulted in, for the first time, HNE-MA being successfully observed and quantified within wastewater over a study period of a week (displayed average daily loads per capita of 48.9 ± 4.1 mg/1000/people/day). 8-iso-PGF was detected with good intensity but could not be quantified due to co-elution with other isomers. 8-OHdG was detected, albeit at < MQL. This study demonstrates the potential for expanding on the possible endogenous biomarkers of health used in urban water fingerprinting to aid in measuring health in near-real time on a community-wide scale.

摘要

本文介绍了一种使用超高效液相色谱-串联质谱(UHPLC-MS/MS)和固相萃取(SPE)检测废水中四种氧化应激生物标志物的分析方法。本研究考察了四种氧化应激和脂质过氧化生物标志物:羟壬烯酸-半胱氨酸(HNE-MA)、8-异前列腺素 F2β(8-iso-PGF)、8-硝基鸟嘌呤(8-NOGua)和 8-羟基-2-脱氧鸟苷(8-OHdG)。该方法具有良好的性能:准确性(>87%)、精密度(>90%)、方法定量限(1.3-3.0 ng L)和 HNE-MA、8-OHdG 和 8-iso-PGF 在废水中的生物标志物稳定性。相比之下,8-NOGua 在废水中稳定性较差,这影响了其方法性能:准确性(>63%)、精密度(>91%)和方法定量限(85.3 ng L)。该方法的应用首次成功地在一周的研究期间观察和量化了废水中的 HNE-MA(显示人均日负荷平均值为 48.9±4.1 mg/1000/人/天)。8-iso-PGF 的检测强度较好,但由于与其他异构体共洗脱而无法定量。8-OHdG 虽然低于 MQL 但仍被检测到。本研究表明,有可能将城市水指纹分析中使用的健康内源性生物标志物扩展到其他标志物,以帮助在社区范围内实时测量健康状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac7c/6459808/b2184cfca4bd/216_2019_1667_Fig1_HTML.jpg

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