Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry
Cappadona, Salvatore LU ; Levander, Fredrik LU
; Bentz, Maria
LU
; James, Peter
LU
; Cerutti, Sergio
and Pattini, Linda
(2008)
In Analytical Chemistry
80(13).
p.4960-4968
- Abstract
- We present a new method for rejecting noise from HPLC-MS data sets. The algorithm reveals peptides at low concentrations by minimizing both the chemical and the random noise. The goal is reached through a systematic approach to characterize and remove the background. The data are represented as two-dimensional maps, in order to optimally exploit the complementary dimensions of separation of the peptides offered by the LC-MS technique. The virtual chromatograms, reconstructed from the spectrographic data, have proved to be more suitable to characterize the noise than the raw mass spectra. By means of wavelet analysis, it was possible to access both the chemical and the random noise, at different scales of the decomposition. The novel... (More)
- We present a new method for rejecting noise from HPLC-MS data sets. The algorithm reveals peptides at low concentrations by minimizing both the chemical and the random noise. The goal is reached through a systematic approach to characterize and remove the background. The data are represented as two-dimensional maps, in order to optimally exploit the complementary dimensions of separation of the peptides offered by the LC-MS technique. The virtual chromatograms, reconstructed from the spectrographic data, have proved to be more suitable to characterize the noise than the raw mass spectra. By means of wavelet analysis, it was possible to access both the chemical and the random noise, at different scales of the decomposition. The novel approach has proved to efficiently distinguish signal from noise and to selectively reject the background while preserving low-abundance peptides. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1187181
- author
- Cappadona, Salvatore
LU
; Levander, Fredrik
LU
; Bentz, Maria
LU
; James, Peter
LU
; Cerutti, Sergio
and Pattini, Linda
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Analytical Chemistry
- volume
- 80
- issue
- 13
- pages
- 4960 - 4968
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- wos:000257270600027
- scopus:46849101222
- ISSN
- 1520-6882
- DOI
- 10.1021/ac800166w
- language
- English
- LU publication?
- yes
- id
- 54a5499d-e65b-4702-9a45-9b595c30842e (old id 1187181)
- date added to LUP
- 2016-04-01 12:30:01
- date last changed
- 2024-07-17 03:30:24
@article{54a5499d-e65b-4702-9a45-9b595c30842e,
abstract = {{We present a new method for rejecting noise from HPLC-MS data sets. The algorithm reveals peptides at low concentrations by minimizing both the chemical and the random noise. The goal is reached through a systematic approach to characterize and remove the background. The data are represented as two-dimensional maps, in order to optimally exploit the complementary dimensions of separation of the peptides offered by the LC-MS technique. The virtual chromatograms, reconstructed from the spectrographic data, have proved to be more suitable to characterize the noise than the raw mass spectra. By means of wavelet analysis, it was possible to access both the chemical and the random noise, at different scales of the decomposition. The novel approach has proved to efficiently distinguish signal from noise and to selectively reject the background while preserving low-abundance peptides.}},
author = {{Cappadona, Salvatore and Levander, Fredrik and Bentz, Maria and James, Peter and Cerutti, Sergio and Pattini, Linda}},
issn = {{1520-6882}},
language = {{eng}},
number = {{13}},
pages = {{4960--4968}},
publisher = {{The American Chemical Society (ACS)}},
series = {{Analytical Chemistry}},
title = {{Wavelet-based method for noise characterization and rejection in high-performance liquid chromatography coupled to mass spectrometry}},
url = {{http://dx.doi.org/10.1021/ac800166w}},
doi = {{10.1021/ac800166w}},
volume = {{80}},
year = {{2008}},
}