Calibration for determining monomer ratios in copolymers by electrospray ionization mass spectrometry

Prebyl, Benjamin S.; Johnson, Jeremi D.; Cook, Kelsey D.

doi:10.1016/j.ijms.2004.02.025

Cited by 3 publications

(3 citation statements)

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“…Although Prebyl and Cook hinted at the possibility of using FT-based analysis methods to determine the monomer ratio of copolymers in the original article describing their FT-based algorithm (see section ), ultimately they demonstrated an alternative method relying on CID. , In this method, it is assumed that the monomer composition of the end regions of the polymer ions is representative of the composition of the polymers as a whole. CID is used to fragment the polymer ion population formed using electrospray ionization, and low-mass fragment ions produced by this process are assigned based on the known monomer masses.…”

Section: State-of-the-art Approaches To Heterogeneity In Native Mass ...mentioning

confidence: 99%

“…The ratio of the total intensity of low-mass ions associated with each monomer is calculated and assumed to represent the global average composition of the copolymer sample. These authors examined the accuracy and precision of this approach at various collision voltages, including whether it is better to use only intact monomer fragments versus include secondary fragments . Intriguingly, for ∼20 kDa poly(styrenesulfonate)- co -(maleic acid) samples, in which the styrenesulfonate (SS) monomers are significantly more acidic than the maleic acid (MA) monomers, observed fragment ratios were typically a factor of at least 3 times the monomer ratios provided by the manufacturer.…”

Section: State-of-the-art Approaches To Heterogeneity In Native Mass ...mentioning

confidence: 99%

“…These authors examined the accuracy and precision of this approach at various collision voltages, including whether it is better to use only intact monomer fragments versus include secondary fragments. 527 Intriguingly, for ∼20 kDa poly(styrenesulfonate)-co-(maleic acid) samples, in which the styrenesulfonate (SS) monomers are significantly more acidic than the maleic acid (MA) monomers, observed fragment ratios were typically a factor of at least 3 times the monomer ratios provided by the manufacturer. The authors attributed this to a difference in ionization efficiency between ions with unusually high SS content and those with low SS content owing to the high acidity of this monomer.…”

Section: Ion Reactions For Improved Separationmentioning

confidence: 99%

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Approaches to Heterogeneity in Native Mass Spectrometry

Rolland

Prell

2021

Chem. Rev.

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Native mass spectrometry (MS) is aimed at preserving and determining the native structure, composition, and stoichiometry of biomolecules and their complexes from solution after they are transferred into the gas phase. Major improvements in native MS instrumentation and experimental methods over the past few decades have led to a concomitant increase in the complexity and heterogeneity of samples that can be analyzed, including protein–ligand complexes, protein complexes with multiple coexisting stoichiometries, and membrane protein–lipid assemblies. Heterogeneous features of these biomolecular samples can be important for understanding structure and function. However, sample heterogeneity can make assignment of ion mass, charge, composition, and structure very challenging due to the overlap of tens or even hundreds of peaks in the mass spectrum. In this review, we cover data analysis, experimental, and instrumental advances and strategies aimed at solving this problem, with an in-depth discussion of theoretical and practical aspects of the use of available deconvolution algorithms and tools. We also reflect upon current challenges and provide a view of the future of this exciting field.

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Section: State-of-the-art Approaches To Heterogeneity In Native Mass ...mentioning

confidence: 99%

Section: State-of-the-art Approaches To Heterogeneity In Native Mass ...mentioning

confidence: 99%

Section: Ion Reactions For Improved Separationmentioning

confidence: 99%

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