Publications

Detailed Information

Trap column-based intact mass spectrometry for rapid and accurate evaluation of protein molecular weight

DC Field Value Language
dc.contributor.authorLim, Gyu-Min-
dc.contributor.authorKim, Byung-Gee-
dc.contributor.authorJeong, Hee-Jin-
dc.date.accessioned2022-09-30T05:42:47Z-
dc.date.available2022-09-30T05:42:47Z-
dc.date.created2022-06-09-
dc.date.issued2022-05-
dc.identifier.citationRSC Advances, Vol.12 No.25, pp.15643-15651-
dc.identifier.issn2046-2069-
dc.identifier.urihttps://hdl.handle.net/10371/184801-
dc.description.abstractThe determination of the molecular weight (MW) of a protein using high-resolution mass spectrometry (MS) is a crucial tool used to confirm whether the protein was correctly expressed and adequately purified. However, a non-volatile buffer is normally used for protein purification and storage. Therefore, a pre-treatment step using ultrafiltration (UF) is required to exchange the buffer with a volatile buffer prior to the introduction of the protein sample into the MS equipment. This pre-treatment step is time-consuming. In this study, a trap column-based pre-treatment method applied in a nano-LC system was developed for rapid and convenient analysis of the MW of proteins. First, the trap column system was compared with the conventional UF treatment system and non-treatment system using bovine serum albumin. Subsequently, the trap column system was applied to analyze the MW of commercially available and lab-synthesized recombinant proteins. The intensity of the base peak and signal-to-noise ratio of the trap column-based pre-treated protein were higher than those of the UF-treated protein. Moreover, the entire automated procedure of the trap column-based system was conducted within 20 min, which confirms its use in versatile and accurate protein identification.-
dc.language영어-
dc.publisherRoyal Society of Chemistry-
dc.titleTrap column-based intact mass spectrometry for rapid and accurate evaluation of protein molecular weight-
dc.typeArticle-
dc.identifier.doi10.1039/d2ra00429a-
dc.citation.journaltitleRSC Advances-
dc.identifier.wosid000799086500001-
dc.identifier.scopusid2-s2.0-85131666487-
dc.citation.endpage15651-
dc.citation.number25-
dc.citation.startpage15643-
dc.citation.volume12-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Byung-Gee-
dc.type.docTypeArticle-
dc.description.journalClass1-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share