Table · dataset · 2020
Data for MALDI-LID-ToF/ToF analysis of statistical and diblock polyacrylate copolymers
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We report the use of MALDI-LID-ToF/ToF utilising the laser induced dissociation (LID) fragmentation technique, which has been almost exclusively applied to protein/peptide analysis to date.
Description
MALDI-LID-ToF/ToF is used as a powerful tool to give information of monomer distributions in synthetic co-poly(acrylates). Analysis of a range of poly(acrylate) homopolymers by LID have found slight improvement over CID, with less rearrangements in the poly(butyl acrylate) fragmentation and more backbone cleavages.
Analysis of both block and statistical copolymers, when compared to homopolymer analogues, yield markedly different spectra which can be correlated to give some monomer sequence information, thus achieving a wealth of structural information from two samples which would otherwise be identical by single stage MALDI-ToF analysis. The determination of fragmentation pathways of polymers with varying end group lability and monomer structure has allowed for high-resolution microstructural determination at the block boundary, showing even small amounts of mixing at the block boundary.<br><br>This folder contains all data found in the main article, and electronic supplementary information, associated with the "MALDI-LID-ToF/ToF of Statistical and Diblock Polyacrylate Copolymers" journal article.
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This includes, the ASCII files which are extracted directly from the Bruker FlexControl software of MALDI-ToF and MALDI-LID-ToF/ToF measurements of poly(methyl acrylate), poly(ethyl acrylate), poly(methyl acrylate - c - ethyl acrylate) and poly(methyl acrylate - b - ethyl acrylate). This folder also includes txt files of the same data exported from the ASCII files, as well as text files of the GPC data which was included in the supplementary information.
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- DOI doi.org/10.82444/warw.33763504.v1 ↗
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- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Characterisation of biological macromolecules 78% · Text 75%
Provenance · 1 source records, 18 field assertions
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