ArticlemAbs
Enhancing the multi-attribute method through an automated and high-throughput sample preparation.
Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 29 citations in OpenAlex.
- Development and Integrated Application of the Multi-Attribute Method (MAM) in Quality Control of Biotechnological Drugs.Biotechnology and bioengineering · 2026Review
- 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
- A Multi-Laboratory, Multi-Platform Analysis of the Multi-Attribute Method.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Development and implementation of an LC-MS-based multi-attribute method for adeno-associated virus.Molecular therapy. Methods & clinical development · 2025Article
- Functionality and translation fidelity characterization of mRNA vaccines using platform based mass spectrometry detection.NPJ vaccines · 2025Article
- 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
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Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The multi-attribute method (MAM), a recent advance in the application of liquid chromatography-mass spectrometry within the pharmaceutical industry, enables the simultaneous monitoring of multiple product quality attributes in a single analytical method. While MAM is coupled with automated data processing and reporting, the sample preparation, based on proteolytic peptide mapping, remains cumbersome and low throughput. The standard sample preparation for MAM relies on protein denaturation, reduction, and alkylation prior to proteolytic digestion, but often a desalting step is required to maintain enzymatic activity. While most of the sample preparation can be automated on a standard robotic liquid handling system, a streamlined approach for protein desalting and temperature modulation is required for a viable, fully automated digestion. In this work, for the first time, a complete tip-based MAM sample preparation is automated on a single robotic liquid handling system, leveraging a deck layout that integrates both heating and cooling functionalities. The fully automated method documented herein achieves a high-throughput sample preparation for MAM, while maintaining superior method performance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.