Cargando…
Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools
Sample preparation of complex, natural mixtures such as lignin prior to mass spectrometry analysis, however minimal, is a critical step in ensuring accurate and interference-free results. Modern shotgun-MS techniques, where samples are directly injected into a high-resolution mass spectrometer (HRMS...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598097/ https://www.ncbi.nlm.nih.gov/pubmed/37714972 http://dx.doi.org/10.1007/s00216-023-04942-x |
_version_ | 1785125479267696640 |
---|---|
author | Letourneau, Dane R. Marzullo, Bryan P. Alexandridou, Anastasia Barrow, Mark P. O’Connor, Peter B. Volmer, Dietrich A. |
author_facet | Letourneau, Dane R. Marzullo, Bryan P. Alexandridou, Anastasia Barrow, Mark P. O’Connor, Peter B. Volmer, Dietrich A. |
author_sort | Letourneau, Dane R. |
collection | PubMed |
description | Sample preparation of complex, natural mixtures such as lignin prior to mass spectrometry analysis, however minimal, is a critical step in ensuring accurate and interference-free results. Modern shotgun-MS techniques, where samples are directly injected into a high-resolution mass spectrometer (HRMS) with no prior separation, usually still require basic sample pretreatment such as filtration and appropriate solvents for full dissolution and compatibility with atmospheric pressure ionization interfaces. In this study, sample preparation protocols have been established for a unique sample set consisting of a wide variety of degraded lignin samples from numerous sources and treatment processes. The samples were analyzed via electrospray (ESI)-HRMS in negative and positive ionization modes. The resulting information-rich HRMS datasets were then transformed into the mass defect space with custom R scripts as well as the open-source Constellation software as an effective way to visualize changes between the samples due to the sample preparation and ionization conditions as well as a starting point for comprehensive characterization of these varied sample sets. Optimized conditions for the four investigated lignins are proposed for ESI-HRMS analysis for the first time, giving an excellent starting point for future studies seeking to better characterize and understand these complex mixtures. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04942-x. |
format | Online Article Text |
id | pubmed-10598097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105980972023-10-26 Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools Letourneau, Dane R. Marzullo, Bryan P. Alexandridou, Anastasia Barrow, Mark P. O’Connor, Peter B. Volmer, Dietrich A. Anal Bioanal Chem Research Paper Sample preparation of complex, natural mixtures such as lignin prior to mass spectrometry analysis, however minimal, is a critical step in ensuring accurate and interference-free results. Modern shotgun-MS techniques, where samples are directly injected into a high-resolution mass spectrometer (HRMS) with no prior separation, usually still require basic sample pretreatment such as filtration and appropriate solvents for full dissolution and compatibility with atmospheric pressure ionization interfaces. In this study, sample preparation protocols have been established for a unique sample set consisting of a wide variety of degraded lignin samples from numerous sources and treatment processes. The samples were analyzed via electrospray (ESI)-HRMS in negative and positive ionization modes. The resulting information-rich HRMS datasets were then transformed into the mass defect space with custom R scripts as well as the open-source Constellation software as an effective way to visualize changes between the samples due to the sample preparation and ionization conditions as well as a starting point for comprehensive characterization of these varied sample sets. Optimized conditions for the four investigated lignins are proposed for ESI-HRMS analysis for the first time, giving an excellent starting point for future studies seeking to better characterize and understand these complex mixtures. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-023-04942-x. Springer Berlin Heidelberg 2023-09-16 2023 /pmc/articles/PMC10598097/ /pubmed/37714972 http://dx.doi.org/10.1007/s00216-023-04942-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Paper Letourneau, Dane R. Marzullo, Bryan P. Alexandridou, Anastasia Barrow, Mark P. O’Connor, Peter B. Volmer, Dietrich A. Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools |
title | Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools |
title_full | Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools |
title_fullStr | Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools |
title_full_unstemmed | Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools |
title_short | Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools |
title_sort | characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via esi-hrms and custom mass defect software tools |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598097/ https://www.ncbi.nlm.nih.gov/pubmed/37714972 http://dx.doi.org/10.1007/s00216-023-04942-x |
work_keys_str_mv | AT letourneaudaner characterizingligninsfromvarioussourcesandtreatmentprocessesafteroptimizedsamplepreparationtechniquesandanalysisviaesihrmsandcustommassdefectsoftwaretools AT marzullobryanp characterizingligninsfromvarioussourcesandtreatmentprocessesafteroptimizedsamplepreparationtechniquesandanalysisviaesihrmsandcustommassdefectsoftwaretools AT alexandridouanastasia characterizingligninsfromvarioussourcesandtreatmentprocessesafteroptimizedsamplepreparationtechniquesandanalysisviaesihrmsandcustommassdefectsoftwaretools AT barrowmarkp characterizingligninsfromvarioussourcesandtreatmentprocessesafteroptimizedsamplepreparationtechniquesandanalysisviaesihrmsandcustommassdefectsoftwaretools AT oconnorpeterb characterizingligninsfromvarioussourcesandtreatmentprocessesafteroptimizedsamplepreparationtechniquesandanalysisviaesihrmsandcustommassdefectsoftwaretools AT volmerdietricha characterizingligninsfromvarioussourcesandtreatmentprocessesafteroptimizedsamplepreparationtechniquesandanalysisviaesihrmsandcustommassdefectsoftwaretools |