4.6 Article Proceedings Paper

Background correction in separation techniques hyphenated to high-resolution mass spectrometry - Thorough correction with mass spectrometry scans recorded as profile spectra

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1492, Issue -, Pages 98-105

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2017.02.052

Keywords

Chemometrics; Hyphenated techniques; Data mining; Profile spectrum; Baseline correction

Funding

  1. Laboratory for Process Engineering, Environment, Biotechnology and Energy - European Regional Development Fund (ERDF), through COMPETE - Programa Operacional Competitividade e Internacionalizacao (POCI) [POCI-01-0145-FEDER-006939, UID/EQU/00511/2013]
  2. FCT - Fundacro para a Ciencia e a Tecnologia
  3. North Portugal Regional Operational Programme (NORTE) under the Portugal Partnership Agreement, through the European Regional Development Fund (ERDF) [NORTE01-0145-FEDER-000005LEPABE-2-ECO-INNOVATION, LEPABE-2ECO-INNOVATION]
  4. Ministerio de Educacion y Ciencia, Spain [AGL2014-53609-P]
  5. FEDER funds through the Operational Programme for Human Potential [IF/00528/2013]
  6. National Funds through FCT - Foundation for Science and Technology
  7. CAPES Foundation, Ministry of Education of Brazil [1532/13-8]

Ask authors/readers for more resources

Separation techniques hyphenated with high-resolution mass spectrometry have been a true revolution in analytical separation techniques. Such instruments not only provide unmatched resolution, but they also allow measuring the peaks accurate masses that permit identifying monoisotopic formulae. However, data files can be large, with a major contribution from background noise and background ions. Such unnecessary contribution to the overall signal can hide important features as well as decrease the accuracy of the centroid determination, especially with minor features. Thus, noise and baseline correction can be a valuable pre-processing step. The methodology that is described here, unlike any other approach, is used to correct the original dataset with the MS scans recorded as profiles spectrum. Using urine metabolic studies as examples, we demonstrate that this thorough correction reduces the data complexity by more than 90%. Such correction not only permits an improved visualisation of secondary peaks in the chromatographic domain, but it also facilitates the complete assignment of each MS scan which is invaluable to detect possible comigration/coeluting species. (C) 2017 Elsevier B.V. All rights reserved.

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