ArticleRapid communications in mass spectrometry : RCM2022
Automated multi-attribute method sample preparation using high-throughput buffer exchange tips.
Article in Rapid communications in mass spectrometry : RCM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Protein Therapeutic Quality Control Using Multi-Attribute Method (MAM): Challenges and Current Practice in cGMP Environments.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Artificial Oxidation: A Major Challenge in Implementing Multi-Attribute Methods for Therapeutic Protein Analysis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Mechanistic Insights into AAV Capsid-Stationary Phase Interactions Governing Native Stability and Chromatographic Separation Using AAV8 as a Model System.Pharmaceutics · 2026Article
- Interlaboratory Evaluation of a User-Friendly Benchtop Mass Spectrometer for Multiple-Attribute Monitoring Studies of a Monoclonal Antibody.Molecules (Basel, Switzerland) · 2023Article
- Optimized Multi-Attribute Method Workflow Addressing Missed Cleavages and Chromatographic Tailing/Carry-Over of Hydrophobic Peptides.Analytical chemistry · 2022Article
- Attribute Analytics Performance Metrics from the MAM Consortium Interlaboratory Study.Journal of the American Society for Mass Spectrometry · 2022Article
- Automated multi-attribute method sample preparation using high-throughput buffer exchange tips.Rapid communications in mass spectrometry : RCM · 2022Article
- Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
rationaleThe multi-attribute method (MAM) has become a valuable mass spectrometry (MS)-based tool that can identify and quantify the site-specific product attributes and purity information for biotherapeutics such as monoclonal antibodies (mAbs) and fusion molecules in recent years. As we expand the use of the MAM at various stages of drug development, it is critical to enhance the sample preparation throughput without additional chemical modifications and variability.
methodsIn this study, a fully automated MAM sample preparation protocol is presented, where rapid desalting in less than 15 minutes is achieved using miniaturized size-exclusion chromatography columns in pipette tips on an automated liquid handler. The peptide samples were analyzed using an electrospray ionization (ESI) orbitrap mass spectrometer coupled to an ultra-high-performance liquid chromatography (UHPLC) system with a dual column switching system.
resultsNo significant change was observed in product attributes and their quantities compared with manual, low-artifact sample preparation. The sample recovery using the buffer exchange tips was greatly enhanced over the manual spin cartridges while still demonstrating excellent reproducibility for a wide variety of starting sample concentrations. Unlike a plate desalting system, the individual columns provide flexibility in the number of samples prepared at a time and sample locations within plates.
conclusionsThis automated protocol enables the preparation of up to 96 samples with less "at-bench" time than the manual preparation of a smaller batch of samples, thereby greatly facilitating support of process development and the use of the MAM in quality control.
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