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Development and application of a non-targeted analysis method using GC-MS and LC-MS for identifying chemical contaminants in drinking water via point-of-use filters
被引:0
|作者:
Sloop, John T.
[1
,2
,3
]
Casey, Jonathan S.
[1
,2
]
Liberatore, Hannah K.
[4
]
Chao, Alex
[2
]
Isaacs, Kristin K.
[2
]
Newton, Seth R.
[2
]
机构:
[1] Oak Ridge Inst Sci & Educ ORISE Participant, Res Triangle Pk, NC 27711 USA
[2] US Environm Protect Agcy, Ctr Computat Toxicol & Exposure, Off Res & Dev, Res Triangle Pk, NC 27711 USA
[3] Natl Inst Environm Hlth Sci, Div Translat Toxicol, Res Triangle Pk, NC 27109 USA
[4] US Environm Protect Agcy, Ctr Environm Measurement & Modeling, Off Res & Dev, Res Triangle Pk, NC 27711 USA
关键词:
Non-targeted analysis;
Drinking water;
Liquid chromatography;
Gas chromatography;
High-resolution mass spectrometry;
PERSONAL CARE PRODUCTS;
LIQUID-CHROMATOGRAPHY;
WASTE-WATER;
PHARMACEUTICALS;
UNKNOWNS;
RISK;
D O I:
10.1016/j.microc.2024.112223
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
While many chemicals are regulated and routinely monitored in drinking water, they represent just a portion of all contaminants that maybe present. Typical drinking water analyses involve sampling one liter or less of water, which could lead to trace level contaminants going undetected. In this study, a method was developed for using point-of-use activated carbon block drinking water filters as sampling devices. The filters were extracted to remove chemicals that were collected, and then analyzed by non-targeted analysis via liquid chromatography and gas chromatography high-resolution mass spectrometry. Extraction efficiencies were assessed by spiking and recovery experiments to better understand the chemical space coverage. To test the method's applicability to real-world samples, filters from a small-scale pilot study were collected from individuals in New York, NY and Atlanta, GA and analyzed. Twenty tentatively identified chemical candidates were confirmed by comparison to chemical standards. Principal components analysis was performed on the full set of filtered chemical features to explore how geographic and temporal differences in samples impact drinking water composition. Product use categories for confirmed chemicals were explored to determine potential sources of contaminants.
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