ポスター発表
第3日 6月12日（水） P会場（多目的ホール・大会議室101＋102）P1会場（多目的ホール）・P2会場（会議室101＋102）
- 3P-44
シングルソフトウェアプラットフォームによる自動化MAMワークフロー
(1ジーンデータ・ 2ジーンデータ)
o大橋翼1・ Brandenburg, Arnd2
The Multi-attribute Method (MAM) enables the simultaneous identification, quantitation, and monitoring of critical quality attributes (CQAs) at the molecular level. A thorough product characterization through peptide mapping allows identification of product quality attributes (PQAs). After risk analysis, PQAs that have been identified as critical for product quality are monitored. Additionally, MAM approaches require new peak detection (NPD) analysis to identify unexpected quality issues. We present an innovative and highly automated data workflow approach that incorporates advanced data pre-treatment; sophisticated visualizations; flexible, highly configurable data processing workflows; and a novel automatic, logic-based review to deliver a robust and unbiased MAM solution.