Additionally, a method that can perform rapid PTM characterization can help ensure product quality and consistency by monitoring potential changes in VP PTMs. Within Chromeleon, a CFR Part 11 compliant chromatography data system, a dynamic platform was developed that can be utilized for both rapid serotype identification and VP PTM monitoring (Figure ). For the development of the serotype identification method, baculovirus/Sf9-derived AAV2, AAV5, AAV8, and AAV9 vector preparations were used. By optimizing data processing, a single universal MS processing method was created that, when applied to all injections, would only detect full-length VPs corresponding to the serotype analysed in the selected run. This is achieved by using both VP retention times and the generated VP MS spectra to correctly identify each serotype. While many parameters were optimized including those within the MS detection, MS settings, and composite scoring tabs in the data processing window (Table ), optimization of the MS component table was crucial for AAV serotype identification. When importing the list of VP components from a BPF workbook, Chromeleon imports the observed mass as the molecular mass in the MS component table instead of the theoretical mass. To ensure accurate full-length VP component detection all molecular masses were changed to the theoretical masses of their respective VPs. The average apex retention time of each VP was then calculated from the three injections of each serotype and used as their respective retention times. For all serotypes, the retention time window of VP3 was set to detect a peak within ±1.00 min of the retention time, while for VP2 and VP1 the retention time window was set to detect a peak at ±0.60 min of the retention time. Matching components within the raw MS data to the features listed in the MS Component table was performed using an algorithm within Chromeleon that considers both the retention time and peak height of a components MS spectra in the raw data for detection and assigns the highest (most intense) MS component spectra peak within the retention time window as a component. Only after optimizing the parameters of the components within the MS component table, the other processing parameters could be optimized to achieve accurate serotype identification.