Samuel E. Janisse, Ryan T. Fellers, Shannon A. Raab, Michael P. Goodwin, Kyle P. Bowen, Zhirui J. Lian, Kenneth R. Durbin, Michael W. Senko, Philip D. Compton, Jared O. Kafader, Neil L. Kelleher
{"title":"A Robust and Automated Platform for Charge Detection Mass Spectrometry of Megadalton Biotherapeutics","authors":"Samuel E. Janisse, Ryan T. Fellers, Shannon A. Raab, Michael P. Goodwin, Kyle P. Bowen, Zhirui J. Lian, Kenneth R. Durbin, Michael W. Senko, Philip D. Compton, Jared O. Kafader, Neil L. Kelleher","doi":"10.1021/acs.analchem.4c06397","DOIUrl":null,"url":null,"abstract":"Gene therapies based on adeno-associated viruses are an emerging area with high potential to improve human health. Current quality control techniques to assess contaminates and byproducts from the adeno-associated virus (AAV) production pipelines are lacking in robustness and throughput. To address these limitations, we coupled an automated microfluidic device called SampleStream with Orbitrap-based charge detection mass spectrometry (SS-CDMS). We demonstrate that the SS-CDMS workflow performs AAV analysis in under 15 min per sample in a completely autonomous manner. The SS-CDMS workflow enables rapid assessment of key quality control attributes (CQAs), such as of molecular weight and content ratio of AAV formulations with a small sample requirement (<2 × 10<sup>9</sup> capsids) without being limited by sample concentration. Additionally, this work shows the potential for the SS-CDMS workflow to be implemented at various stages of the production pipeline through effective sample clean up from more complex AAV matrices such as cell culture media.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"9 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c06397","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Gene therapies based on adeno-associated viruses are an emerging area with high potential to improve human health. Current quality control techniques to assess contaminates and byproducts from the adeno-associated virus (AAV) production pipelines are lacking in robustness and throughput. To address these limitations, we coupled an automated microfluidic device called SampleStream with Orbitrap-based charge detection mass spectrometry (SS-CDMS). We demonstrate that the SS-CDMS workflow performs AAV analysis in under 15 min per sample in a completely autonomous manner. The SS-CDMS workflow enables rapid assessment of key quality control attributes (CQAs), such as of molecular weight and content ratio of AAV formulations with a small sample requirement (<2 × 109 capsids) without being limited by sample concentration. Additionally, this work shows the potential for the SS-CDMS workflow to be implemented at various stages of the production pipeline through effective sample clean up from more complex AAV matrices such as cell culture media.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.