4.3 Article

Discovery and targeted monitoring of polychlorinated biphenyl metabolites in blood plasma using LC-TIMS-TOF MS

期刊

INTERNATIONAL JOURNAL OF MASS SPECTROMETRY
卷 427, 期 -, 页码 133-140

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijms.2017.11.009

关键词

Metabolites; Trapped ion mobility spectrometry; Mass spectrometry; Discovery and targeted monitoring

资金

  1. National Institutes of Health [R00GM106414]
  2. Bruker Daltonics Inc. fellowship
  3. National Science Foundation Division of Chemistry, under CAREER award [CHE-1654274]
  4. Division of Molecular and Cellular Biosciences
  5. FIU Dissertation Year Fellowship
  6. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R00GM106414] Funding Source: NIH RePORTER

向作者/读者索取更多资源

In the present work, the potential for rapid, targeted analysis of hydroxylated metabolites of polychlorinated biphenyls (OH-PCBs) in diluted human blood plasma using liquid chromatography coupled with trapped ion mobility spectrometry and TOF high resolution mass spectrometry (LC-TIMS-TOF MS) was evaluated. Experimental OH-PCB collisional cross section (CCSN2 ) and gas-phase candidate structures (<3% error) are reported for the first time and used, in addition to the LC retention time and accurate m/z, as OH-PCB identification features in order to increase the detection selectivity. The proposed LC-TIMS-TOF MS workflow combines a dilute-and-shoot sample preparation strategy, a robust liquid chromatography step, a high-resolving power mobility separation (R similar to 150-250) and high-resolution mass spectrometry (R similar to 30-40k) for the separation, identification and quantification of common OH-PCB isomers with limits of detection comparable to traditional workflows (e.g., LOD and LOQ of similar to 10 pg/mL and similar to 50 pg/mL, respectively). The higher selectivity and low detection limits provides multiple advantages compared to current methodologies that typically require long, labor-intensive preparation and/or derivatization steps prior to gas or liquid chromatography-mass spectrometry. (C) 2017 Elsevier B.V. All rights reserved.

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