Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools.
Characterizing lignins from various sources and treatment processes after optimized sample preparation techniques and analysis via ESI-HRMS and custom mass defect software tools.
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DOI:
10.1007/s00216-023-04942-x
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发表时间:
2023-11
影响因子:
4.3
通讯作者:
Volmer, Dietrich A.
中科院分区:
文献类型:
--
作者:
Letourneau, Dane R.;Marzullo, Bryan P.;Alexandridou, Anastasia;Barrow, Mark P.;O'Connor, Peter B.;Volmer, Dietrich A.
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. The online version contains supplementary material available at 10.1007/s00216-023-04942-x.
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影响因子:
8.6
作者:
通讯作者:
--
DOI:
10.1007/s13361-018-1916-z
发表时间:
2018-05-01
影响因子:
3.2
作者:
Andrianova, Anastasia A.;DiProspero, Thomas;Kubatova, Alena
通讯作者:
Kubatova, Alena
影响因子:
8.4
作者:
del Rio, Jose C.;Rencoret, Jorge;Ralph, John
通讯作者:
Ralph, John
影响因子:
7.4
作者:
Dier, Tobias K. F.;Egele, Kerstin;Volmer, Dietrich A.
通讯作者:
Volmer, Dietrich A.
影响因子:
7.4
作者:
KENDRICK, E
通讯作者:
KENDRICK, E