Charge variants are critical quality attributes and must be controlled to ensure stability and process consistency for biotherapeutics. Multiple post translational modifications (PTMs) can induce charge heterogeneity, including clipping of C-terminal lysine, glycation, deamidation, etc. Modifications of charge profiles may potentially impact structural and biological activities. Traditionally, charge profiles of biotherapeutics are monitored through liquid chromatography-based methods, such as ion exchange chromatography, or isoelectric focusing methods, such as imaged capillary isoelectric focusing. To directly identify PTMs, these methods need coupling with high-resolution mass spectrometry. Currently, MS identification of an unknown icIEF peak requires multi-step processes -scale-up of the LC-based separation, fractionation, icIEF analysis to confirm the fraction isoelectric point (pI), and off-line MS analysis. Therefore, a more comprehensive analytical tool is necessary to streamline the workflow and provide extensive characterization of charge heterogeneities. We describe an approach utilizing a novel platform coupling an icIEF microchip with an on-line Hi-Res MS via electrospray ionization (ESI) emitter (BlazeTM System, Intabio, Inc.). Method conditions for icIEF separation, and transfer to MS for analysis were optimized to achieve a 16-min high throughput characterization. Additional comparability studies with traditional icIEF analysis on the Maurice platform were conducted to ensure reproducibility of charge profiles and ease of assay transfer. Charge profiles were further analyzed via SCIEX Triple TOF 5600 system to understand distribution of PTMs on intact level and data were processed using Byos® Software from Protein Metrics. Reduced peptide mapping was employed, providing additional information on changes under accelerated conditions. Stressed materials, including light and high pH stress materials, were characterized to demonstrate capability of the new platform to detect changes and provide information on PTMs associated with degradation pathways. This novel platform enables extensive characterization and identification of charge heterogeneity- associated PTMs and other structural information on the intact level with a streamlined workflow.