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Online Bipolar Dual Spray for the Charge State Reduction and Characterization of Complex Synthetic Polymers. | LitMetric

Online Bipolar Dual Spray for the Charge State Reduction and Characterization of Complex Synthetic Polymers.

J Am Soc Mass Spectrom

Analytical Sciences, Dow Inc., Midland, Michigan 48640, United States.

Published: December 2023

Charge reduction mass spectrometry (CR/MS) hyphenated to liquid chromatography (LC) couples liquid-phase compound separation and mass spectral decompression to resolve and characterize multicomponent systems. LC/CR/MS has proven to be effective for complex mixture analysis, particularly synthetic polymers. A newer charge manipulation approach called bipolar dual spray has previously been demonstrated to reduce the observed charge state distribution of ammoniated polyethene glycol. In this approach, two electrospray emitters, in close proximity and of opposite polarity, fuse droplets from their electrospray plumes, which allows the subsequent chemistry. In this work, we investigate the ability of bipolar dual spray to reduce the charge of synthetic polyols, thereby simplifying complex mixture analysis and generating new compositional information only available through the coupling of charge reduction with LC/MS analysis. This work also represents the first demonstration of online charge reduction via dual spray. Polyethylene glycol (PEG) 7.2K subjected to LC/MS with dual spray reduced the average charge state from 8.2+ to 4.4+. LC/MS with dual spray was also applied to the characterization of an end-group-modified PEG 10K (i.e., aminated) containing several reaction impurities. This approach allowed for the identification of low-level starting material, tosylated PEG, and PEG mono(amine), where both LC/MS and direct infusion dual spray did not detect the impurities. Overall, the results demonstrated that bipolar dual spray can be incorporated into an LC/MS analysis and affords the ability to reduce the charge state distribution of PEG cations, decompress the / axis, lower spectra complexity, and enable/simplify data interpretation.

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Source
http://dx.doi.org/10.1021/jasms.3c00333DOI Listing

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