{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T15:51:25Z","timestamp":1789487485516,"version":"build-2803163510"},"reference-count":59,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T00:00:00Z","timestamp":1782604800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T00:00:00Z","timestamp":1782604800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Biotech &amp; Bioengineering"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>The multi\u2010attribute method (MAM) is an integrated peptide mapping strategy based on liquid chromatography\u2010mass spectrometry (LC\u2010MS) technology. It enables precise quantification and dynamic tracking of multiple site\u2010specific modifications in a single analysis, significantly enhancing the efficiency and depth of biopharmaceutical quality control. Notably, its integrated application across process development, process monitoring, and product release has driven a paradigm shift from a \u201csingle\u2010attribute, single\u2010method\u201d approach to a \u201cmulti\u2010attribute, integrated\u2010method\u201d approach in quality control. This review systematically summarizes the technical principles, optimization strategies, and application progress of MAM by integrating recent research cases of complex therapeutic proteins (e.g., monoclonal antibodies and Fc fusion proteins), with a focus on specific strategies and practical paths of MAM in workflow automation, new peak detection (NPD) optimization, intact multi\u2010attribute method (iMAM), and the integration of complementary technologies. The objective is to provide a valuable reference for the standardization and industrial application of MAM in biotechnological drug quality control. Although MAM is expected to become a core analytical tool for biopharmaceutical quality control, its widespread industrial application remains constrained by key challenges, including insufficient method robustness, incomplete standardization, and variable regulatory acceptance. Notably, a significant stride in regulatory acceptance has been made with the recent implementation of the United States Pharmacopeia (USP) General Chapter &lt;\u20091060\u2009&gt;\u2009, which establishes the first official framework for MAM. Beyond this regulatory milestone, future efforts should focus on advancing automated platform development, creating intelligent data algorithms, and strengthening cross\u2010disciplinary collaboration to further promote the systematic integration and standardized application of MAM throughout the full lifecycle quality management of biotechnological drugs.<\/jats:p>","DOI":"10.1002\/bit.70274","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T06:28:35Z","timestamp":1782714515000},"page":"2536-2552","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Integrated Application of the Multi\u2010Attribute Method (MAM) in Quality Control of Biotechnological Drugs"],"prefix":"10.1002","volume":"123","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2791-6459","authenticated-orcid":false,"given":"Yuan","family":"Zhu","sequence":"first","affiliation":[{"name":"Division of 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