Implementation of a LC-MS based multi-attribute method (MAM) and intact multi-attribute method (iMAM) workflow for the characterisation of a GLP-Fc fusion protein.

Over the past few years, the implementation of mass spectrometry (MS) in QC laboratories has become a more common occurrence. The multi-attribute method (MAM), and emerging intact multi-attribute method (iMAM), are powerful analytical tools utilising liquid chromatography-mass spectrometry (LC-MS) methods that enable the monitoring of critical quality attributes (CQAs) in biotherapeutic proteins in compliant settings. Both MAM and iMAM are intended to replace or supplement several conventional assays with a single LC-MS method utilising MS data in combination with robust, semi-automated data processing workflows. MAM and iMAM workflows can also be implemented into current Good Manufacturing Practices environments due to the availability of CFR 11 compliant chromatography data system software. In this study, MAM and iMAM are employed for the analysis of 4 batches of a glucagon-like peptide-Fc fusion protein. MAM approach involved a first the discovery phase for the identification of CQAs and second, the target monitoring phase of the selected CQAs in other samples. New peak detection was performed on the data set to determine the appearance, absence or change of any peak. For native iMAM workflow both size exclusion and strong cation exchange chromatography were optimized for the identification and monitoring of CQAs at the intact level.

A Direct Comparison of rAAV5 Variants Derived from the Baculovirus Expression System Using LC-MS Workflows Demonstrates Key Differences in Overall Production Yield, Product Quality and Vector Efficiency.

Gene therapy holds great promise for the treatment of severe diseases, and adeno-associated virus (AAV) vectors have emerged as valuable tools in this field. However, challenges such as immunogenicity and high production costs complicate the commercial viability of AAV-based therapies. To overcome these barriers, improvements in production yield, driven through the availability of robust and sensitive characterization techniques that allow for the monitoring of critical quality attributes to deepen product and process understanding are crucial. Among the main attributes affecting viral production and performance, the ratio between empty and full capsids along with capsid protein stoichiometry are emerging as potential parameters affecting product quality and safety. This study focused on the production of AAV vectors using the baculovirus expression vector system (BEVS) in Sf9 cells and the complete characterization of AAV5 variants using novel liquid chromatography and mass spectrometry techniques (LC-MS) that, up to this point, had only been applied to reference commercially produced virions. When comparing virions produced using ATG, CTG or ACG start codons of the cap gene, we determined that although ACG was the most productive in terms of virus yield, it was also the least effective in transducing mammalian cells. This correlated with a low VP1/VP2 ratio and a higher percentage of empty capsids. Overall, this study provides insights into the impact of translational start codon modifications during rAAV5 production using the BEVS, the associated relationship with capsid packaging, capsid protein stoichiometry and potency. The developed characterization workflow using LC-MS offers a comprehensive and transferable analysis of AAV-based gene therapies, with the potential to aid in process optimization and facilitate the large-scale commercial manufacturing of these promising treatments.

Exploring Charge-Detection Mass Spectrometry on Chromatographic Time Scales.

Charge-detection mass spectrometry (CDMS) enables direct measurement of the charge of an ion alongside its mass-to-charge ratio. CDMS offers unique capabilities for the analysis of samples where isotopic resolution or the separation of charge states cannot be achieved, i.e., heterogeneous macromolecules or highly complex mixtures. CDMS is usually performed using static nano-electrospray ionization-based direct infusion with acquisition times in the range of several tens of minutes to hours. Whether CDMS analysis is also attainable on shorter time scales, e.g., comparable to chromatographic peak widths, has not yet been extensively investigated. In this contribution, we probed the compatibility of CDMS with online liquid chromatography interfacing. Size exclusion chromatography was coupled to CDMS for separation and mass determination of a mixture of transferrin and ß-galactosidase. Molecular masses obtained were compared to results from mass spectrometry based on ion ensembles. A relationship between the number of CDMS spectra acquired and the achievable mass accuracy was established. Both proteins were found to be confidently identified using CDMS spectra obtained from a single chromatographic run when peak widths in the range of 1.4-2.5 min, translating to 140-180 spectra per protein were achieved. After demonstration of the proof of concept, the approach was tested for the characterization of the highly complex glycoprotein α-1-acid glycoprotein and the Fc-fusion protein etanercept. With chromatographic peak widths of approximately 3 min, translating to ∼200 spectra, both proteins were successfully identified, demonstrating applicability for samples of high inherent molecular complexity.

Rapid Analysis of Biotherapeutics Using Protein A Chromatography Coupled to Orbitrap Mass Spectrometry.

Monoclonal antibodies (mAbs) and related products undergo a wide range of modifications, many of which can often be directly associated to culture conditions during upstream processing. Ideally, such conditions should be monitored and fine-tuned based on real-time or close to real-time information obtained by the assessment of the product quality attribute (PQA) profile of the biopharmaceutical produced, which is the fundamental idea of process analytical technology. Therefore, methods that are simple, quick and robust, but sufficiently powerful, to allow for the generation of a comprehensive picture of the PQA profile of the protein of interest are required. A major obstacle for the analysis of proteins directly from cultures is the presence of impurities such as cell debris, host cell DNA, proteins and small-molecule compounds, which usually requires a series of capture and polishing steps using affinity and ion-exchange chromatography before characterization can be attempted. In the current study, we demonstrate direct coupling of protein A affinity chromatography with native mass spectrometry (ProA-MS) for development of a robust method that can be used to generate information on the PQA profile of mAbs and related products in as little as 5 min. The developed method was applied to several samples ranging in complexity and stability, such as simple and more complex monoclonal antibodies, as well as cysteine-conjugated antibody-drug conjugate mimics. Moreover, the method demonstrated suitability for the analysis of protein amounts of <1 µg, which suggests applicability during early-stage development activities.

A Native Mass Spectrometry-Based Assay for Rapid Assessment of the Empty:Full Capsid Ratio in Adeno-Associated Virus Gene Therapy Products.

Adeno-associated virus (AAV)-based gene therapy is a rapidly developing field, requiring analytical methods for detailed product characterization. One important quality attribute of AAV products that requires monitoring is the amount of residual empty capsids following downstream processing. Traditionally, empty and full particles are quantified via analytical ultracentrifugation as well as anion exchange chromatography using ultraviolet or fluorescence detection. Here, we present a native mass spectrometry-based approach to assess the ratio of empty to full AAV-capsids without the need for excessive sample preparation. We report the rapid determination of the relative amount of empty capsids in AAV5 and AAV8 samples. The results correlate well with more conventional analysis strategies, demonstrating the potential of native mass spectrometry for the characterization of viral particles.

Comparative Elucidation of Cetuximab Heterogeneity on the Intact Protein Level by Cation Exchange Chromatography and Capillary Electrophoresis Coupled to Mass Spectrometry.

Charge sensitive separation methods such as ion exchange chromatography (CEX) and capillary electrophoresis (CE) have recently been coupled to mass spectrometry to facilitate high resolution profiling of proteoforms present within the charge variant profile of complex biopharmaceuticals. Here we apply pH gradient cation exchange chromatography and microfluidic capillary electrophoresis using the ZipChip platform for comparative characterization of the monoclonal antibody Cetuximab. Cetuximab harbors four glycans per molecule, two on each heavy chain, of which the Fab glycans have been reported to be complex and multiply sialylated. The presence of these extra glycosylation sites in the variable region of the molecule causes significant charge variant and glycan heterogeneity, which makes comprehensive analysis on the intact protein level challenging. Both pH gradient CEX-MS and CE-MS were found to be powerful for the separation of Cetuximab charge variants with eight major peaks being baseline resolved using both separation platforms. Informative native-like mass spectra were collected for each charge variant peak using both platforms that facilitated deconvolution and further analysis. The total proteoform coverage was exceptionally high with >100 isoforms identified and relatively quantified with CEX-MS, in case of CE-MS the proteoform coverage was >200. A deep insight into the heterogeneity of Cetuximab was unveiled, the high level of sensitivity achievable enables the implementation of the presented technologies even at early stages of the biopharmaceutical development platform, such as in developability assessment, process development and also for monitoring process consistency.

Cracking Proteoform Complexity of Ovalbumin with Anion-Exchange Chromatography-High-Resolution Mass Spectrometry under Native Conditions.

Posttranslational modifications of proteins play fundamental roles in protein function in health and disease. More than 600 different types of posttranslational modifications are known, many of them being of extremely low abundance, causing subtle changes in physicochemical properties and posing an extreme challenge to analytical methods required for their characterization. Here, we report the development of a novel pH gradient-based anion-exchange chromatography method, which can be directly interfaced to Orbitrap-based mass spectrometry for the comprehensive characterization of proteoforms at the intact protein level under native conditions. The analysis of four different proteins demonstrates outstanding chromatographic selectivity, while the mass spectra obtained are of excellent quality enabling the identification of proteoforms, including near isobaric variants, spanning 4 orders of magnitude in abundance. An in-depth analysis of ovalbumin from chicken egg white yields the identification and relative quantification of more than 150 different proteoforms, including fragmented and dimeric forms. More than 20 different ovalbumin charge variants together with their glycoform distributions are identified and quantified, many of which have not been reported previously.

Charge Variant Analysis of Monoclonal Antibodies Using Direct Coupled pH Gradient Cation Exchange Chromatography to High-Resolution Native Mass Spectrometry.

Charge variant analysis (CVA) of monoclonal antibodies (mAbs) using cation exchange chromatography is routinely used as a fingerprint of the distribution of posttranslational modifications present on the molecule. Traditional salt or pH based eluents are not suited for direct coupling to mass spectrometry due to nonvolatility or high ionic strength. This makes further analysis complicated when an alteration in the charge variant profile or the emergence of an additional peak is encountered. Here, the use of pH gradient elution using volatile, low ionic strength buffers is reported with direct coupling to high-resolution Orbitrap mass spectrometry. The development of a universal method based on pH elution was explored using a number of mAb drug products. Optimized methods facilitated the separation and identification of charge variants including individual glycoforms of the mAbs investigated using the same buffer system but with tailored gradient slopes. The developed method represents an exciting advance for the characterization of biopharmaceuticals as intact entities through the combination of native charge variant separations with high-resolution native mass spectrometry.

Cation exchange chromatography on a monodisperse 3 µm particle enables extensive analytical similarity assessment of biosimilars.

Biosimilarity assessment requires extensive characterization and comparability exercises to investigate product quality attributes of an originator product and its potential biosimilar(s) and to highlight any differences between them. Performing a thorough comparison allows a shortened approval path, which also eliminates lengthy and expensive clinical trials, ensuring comparable product quality and efficacy but at lower drug prices. The wide variety of analytical methods available for biosimilar assessment ranges from biological to analytical assays, each providing orthogonal information to fully characterize biosimilar candidates. Intact native mass spectrometry (MS) has been shown to be an excellent tool for detection and monitoring of important quality attributes such as N-glycosylation, deamidation, sequence truncation and higher order structures. When combined with efficient upfront separation methods, simplification of the proteoform heterogeneity and associated complexity prior to MS analysis can be achieved. Native mass spectrometry can provide robust and accurate results within short analysis times and requires minimal sample preparation. In this study we report the use of a monodisperse strong cation exchange chromatography phase hyphenated with Orbitrap mass spectrometry (SCX-MS) to compare the best-selling biopharmaceutical product Humira® with 7 commercially approved biosimilar products. SCX-MS analysis allowed for the identification of previously described as well as so far unreported proteoforms and their relative quantitation across all samples, revealing differences in N-glycosylation and lysine truncation, as well as unique features for some products such as sialylation and N-terminal clipping. SCX-MS analysis, powered by a highly efficient separation column, enabled deep and efficient analytical comparison of biosimilar products.

Mass spectrometry friendly pH-gradient anion exchange chromatography for the separation of full and empty adeno-associated virus (AAV) capsids.

The proportion of full and empty capsids represents a critical quality attribute of adeno-associated virus (AAV)-based therapeutics. In this study, pH-gradient anion exchange chromatography was utilized for the separation of full and empty capsid species. The developed method allowed for applicability to multiple AAV serotypes and facilitated subsequent mass spectrometric detection of intact AAVs. This is the first study demonstrating generic applicability as well as mass spectrometric compatibility, allowing for a more sophisticated analysis of AAV-based gene therapy and paving the way for future developments in the field.

Exploring proteoforms of the IgG2 monoclonal antibody panitumumab using microchip capillary electrophoresis-mass spectrometry.

The IgG2 type monoclonal antibody panitumumab is an anti-epidermal growth factor receptor (EGFR) drug used for the treatment of EGFR-expressing, chemotherapy resistant, metastatic colorectal carcinoma. In this study, panitumumab drug product was first analysed using size exclusion chromatography coupled to mass spectrometry for rapid identity testing. The experimental data led to the identification of two panitumumab isoforms with several prominent forms remaining unidentified, despite apparently low sample complexity. Microchip capillary electrophoresis-mass spectrometry (CE-MS) was subsequently utilised for a more detailed characterization. It was observed that panitumumab is subject to partial N-terminal pyroglutamate formation. Incomplete conversion is uncharacteristic for N-terminally exposed glutamines and in case of panitumumab gives rise to forms which show successive mass offsets of 17 Da, respectively. If not separated before mass spectrometric analysis, e.g. by capillary electrophoresis, such near isobaric species coalesce into single MS peaks, which subsequently hampers or prevents their assignment. With a total of 42 panitumumab isoforms assigned by CE-MS, these observations highlight a potential pitfall of commonly applied rapid identity testing workflows and demonstrate that even low complexity biopharmaceuticals can require separation strategies which offer high separation selectivity for species close in mass.

Intact multi-attribute method (iMAM): A flexible tool for the analysis of monoclonal antibodies.

The availability of rapid methods that can accurately define and quantify biopharmaceutical critical quality attributes has been the driving force for the implementation of mass spectrometry techniques throughout the development and production pipeline. While the multi-attribute method (MAM) has become widely adopted and developed, some critical information cannot be monitored through this workflow, such as correct chain assembly or the presence of fragments or aggregates. In this study, we combine intact protein mass spectrometry and the multi-attribute method to create an intact multi-attribute method - or iMAM. Using a CFR Part 11 compliant data system, we evaluated the proposed workflow using several intact analysis approaches under both denaturing and native conditions. As for the standard MAM approach, iMAM involves the generation of an intact protein target workbook which is created from the analysis of a reference sample, with ID confirmation obtained from deconvolution results and chromatographic retention times, while quantitation is obtained from the intensities of the m/z of most abundant charge states. The created processing method is then applied to the analysis of subsequent samples. New peak detection can also be performed, monitoring the number of components revealed after each analysis. The entire data process can be automated to generate a report within the chromatography data system software. Three case studies presented herein show the potential of iMAM for implementation at different stages of the production pipeline, from product development to stability testing and batch release.

Correlative N-glycan and charge variant analysis of cetuximab expressed in murine, chinese hamster and human expression systems.

A well-defined and controlled glycosylation pattern is important to maintain quality and safety of therapeutic proteins. Glycosylation is strongly dependent on the host cell line used for recombinant protein expression. Cetuximab, which is produced in mouse myeloma cells has been shown to harbour Fab glycans, which contain non-human like features and hence, can potentially cause an immunogenic response in patients. In light of the advent of biosimilar and biobetter development, we produced cetuximab variants in human embryonic kidney (HEK293) and Chinese hamster ovary (CHO) cells. A combination of orthogonal chromatographic modes such as hydrophilic interaction, size exclusion and strong cation exchange chromatography with various detection strategies was employed to characterise the three different cetuximab variants and to compare the in-house produced HEK and CHO variants with the reference drug product. While Fc galactosylation and sialic acid content of the drug product and the HEK variant were highly similar, the CHO product showed lower galactosylation on Fc glycans and a comparatively low sialic acid content in the Fab region. The elevated high-mannose content of CHO cetuximab also suggests potential rapid clearence from circulation. The combination of multiple chromatographic separation modes has proven powerful for the characterisation of expression system dependent protein quality attributes such as N-glycosylation.

Native LC-MS for capturing quality attributes of biopharmaceuticals on the intact protein level.

Intact protein analysis by means of mass spectrometry has become a well-established method for the characterization of biotherapeutics. However, due to the highly complex nature of recombinant proteins, prior chromatographic separation is inevitable for a comprehensive analysis. In recent years, progress in coupling a variety of liquid chromatography-based native separation modes such as size exclusion, ion exchange and hydrophobic interaction chromatography to mass spectrometry (native LC-MS) has been reported, therefore allowing for rapid assessment of molecular mass and deep characterization of the heterogeneity of complex, recombinantly produced therapeutic proteins. Here we provide a comprehensive overview of recent advances in the development and application of native LC-MS for biopharmaceutical characterization.

Optimisation of the use of sliding window deconvolution for comprehensive characterisation of trastuzumab and adalimumab charge variants by native high resolution mass spectrometry.

The biopharmaceutical industry continues to develop mAb-based biotherapeutics in increasing numbers. Due to their complexity, there are several critical quality attributes (CQAs) that need to be measured and controlled to guarantee product safety and efficacy. Charge variant analysis is a widely used method to monitor changes in product quality during the manufacturing process of monoclonal antibodies (mAbs) and, together with a bottom-up peptide centred approach, acts as a key analytical platform to fulfil regulatory requirements. Native MS measures biomolecules under conditions that preserve most aspects of protein tertiary and quaternary structure, enabling direct characterization of large intact proteins such as mAbs. The resulting native mass spectrum of a mAb is characterized by a narrower charge-state envelope that simplifies the spectra and also condenses the ion signals into fewer peaks, increasing the signal-to-noise ratio. Algorithmic spectral deconvolution is needed for routine accurate and rapid molecular weight determination, and consequently, multiple deconvolution algorithms have evolved over the past decade. Here, we demonstrate the utility of the sliding window algorithm as a robust and powerful deconvolution tool for comprehensive characterisation of charge variant analysis data for mAbs. Optimum performance is evaluated by studying the impact of critical software parameters on detection, identification and relative quantitation of protein isoforms. By combining molecular mass and retention time information, it was possible to identify multiple modifications on adalimumab and trastuzumab, both IgG1 mAbs, including lysine truncation, deamidation and succinimide formation, along with the N-glycan distribution of each of the identified charge variants. Sliding window deconvolution also provides a key benefit of low abundant variant detection in a single analysis and the ability to detect co-eluting components with different relative abundances. The studied mAbs demonstrate the algoritms applicability for efficient data processing of both simple and complex mAbs analysed using pH gradient cation exchange chromatography coupled to native mass spectrometry.

Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS.

Ensuring the removal of host cell proteins (HCPs) during downstream processing of recombinant proteins such as monoclonal antibodies (mAbs) remains a challenge. Since residual HCPs might affect product stability or safety, constant monitoring is required to demonstrate their removal to be below the regulatory accepted level of 100 ng/mg. The current standard analytical approach for this procedure is based on ELISA; however, this approach only measures the overall HCP content. Therefore, the use of orthogonal methods, such as liquid chromatography-mass spectrometry (LC-MS), has been established, as it facilitates the quantitation of total HCPs as well as the identification and quantitation of the individual HCPs present. In the present study, a workflow for HCP detection and quantitation using an automated magnetic bead-based sample preparation, in combination with a data-independent acquisition (DIA) LC-MS analysis, was established. Employing the same instrumental setup commonly used for peptide mapping analysis of mAbs allows for its quick and easy implementation into pre-existing workflows, avoiding the need for dedicated instrumentation or personnel. Thereby, quantitation of HCPs over a broad dynamic range was enabled to allow monitoring of problematic HCPs or to track changes upon altered bioprocessing conditions.

Simultaneous monitoring of multiple attributes of pyrrolobenzodiazepine antibody-drug conjugates by size exclusion chromatography - high resolution mass spectrometry.

Antibody-drug conjugates (ADCs) are an emerging class of oncology treatments combining the unique specificity of monoclonal antibodies with the highly cytotoxic properties of small molecule compounds. Pyrrolobenzodiazepines (PBDs) are highly potent agents capable of inhibiting cellular DNA replication which leads to apoptosis. To ensure efficacy and patient safety upon administration of such toxic and heterogeneous molecules, their structure and quality attributes must be closely monitored. Size exclusion chromatography (SEC) is a powerful, fast and robust tool for the separation of compounds varying in molecular weight. When using volatile components in the chromatographic mobile phase, SEC has also been shown to be amenable for interfacing to mass spectrometry, providing potential for reliable identification of protein isoforms across the size variants present. Here, we present a SEC-MS method developed for the characterisation of PBD-based ADCs on the intact molecular level. We demonstrate that information on ADC monomers such as the glycoform distribution and the average drug-antibody ratio (DAR) can be obtained in 15 minutes of analysis time. Qualitative and quantitative information on low and high molecular weight impurities such as aggregates and fragments, fundamental for critical quality attribute analysis of biopharmaceuticals, can be generated simultaneously. SEC-MS enables the characterisation of multiple product quality attributes of complex biotherapeutics at the same time.

Comprehensive characterisation of the heterogeneity of adalimumab via charge variant analysis hyphenated on-line to native high resolution Orbitrap mass spectrometry.

Charge variant analysis is a widely used tool to monitor changes in product quality during the manufacturing process of monoclonal antibodies (mAbs). Although it is a powerful technique for revealing mAb heterogeneity, an unexpected outcome, for example the appearance of previously undetected isoforms, requires further, time-consuming analysis. The process of identifying these unknowns can also result in unwanted changes to the molecule that are not attributable to the manufacturing process. To overcome this, we recently reported a method combining highly selective cation exchange chromatography-based charge variant analysis with on-line mass spectrometric (MS) detection. We further explored and adapted the chromatographic buffer system to expand the application range. Moreover, we observed no salt adducts on the native protein, also supported by the optimal choice of MS parameters, resulting in increased data quality and mass accuracy. Here, we demonstrate the utility of this improved method by performing an in-depth analysis of adalimumab before and after forced degradation. By combining molecular mass and retention time information, we were able to identify multiple modifications on adalimumab, including lysine truncation, glycation, deamidation, succinimide formation, isomerisation, N-terminal aspartic acid loss or C-terminal proline amidation and fragmentation along with the N-glycan distribution of each of these identified proteoforms. Host cell protein (HCP) analysis was performed using liquid chromatography-mass spectrometry that verified the presence of the protease Cathepsin L. Based on the presence of trace HCPs with catalytic activity, it can be questioned if fragmentation is solely driven by spontaneous hydrolysis or possibly also by enzymatic degradation.

Rapid charge variant analysis of monoclonal antibodies to support lead candidate biopharmaceutical development.

Biopharmaceuticals are complex therapeutic proteins produced in living cells that undergo a variety of enzymatic and non-enzymatic posttranslational modifications both intracellularly and also following secretion into the condition media. Characterization of these posttranslational modifications is a regulatory requirement to ensure that the molecule meets the required levels of quality to ensure patient safety. Ion exchange chromatography, particularly cation exchange, is routinely used for the determination of the charge variant profile of monoclonal antibodies (mAbs) using either an increasing concentration of salt or the generation of a pH gradient to facilitate elution of the mAb charge variants from the cation exchange phase. In this study, salt and pH gradient elution modes were compared to develop an optimized separation for the mAb standard reference material from NIST on a strong cation exchange phase. Separation using the pH gradient approach was found to outperform salt gradient separation. The developed pH gradient method was transformed into an ultra-fast separation method to facilitate rapid molecular profiling and triage during lead candidate and cell line development activities. The ultrafast method was validated and showed excellent performance for linearity and precision as well as applicability for the analysis of a variety of mAbs with different pI-values. The method has proven suitable for the integration into process analytical technology (PAT) frameworks and was found to be powerful in combination with automated data analysis strategies for obtaining low end-to-end processing time. This was demonstrated by the acquisition and analysis of in total 45 runs within only 5 h. The method was next applied for profiling in-house produced candidate biosimilars of trastuzumab and enabled the assessment of the charge variant profile of these candidates in <25 min. Differences identified for trastuzumab expressed using a stable CHO cell line were found to result from incomplete cleavage of the signal peptide from the light chain as determined using high resolution reversed-phase LC-MS following digestion with IdeS protease and disulphide bond reduction. The proposed method is well suited for molecular triage during cell line development or indeed for potential process analytical technology application during larger scale manufacture.

Detection and quantitation of host cell proteins in monoclonal antibody drug products using automated sample preparation and data-independent acquisition LC-MS/MS / 药物分析学报

Ensuring the removal of host cell proteins (HCPs) during downstream processing of recombinant pro-teins such as monoclonal antibodies (mAbs) remains a challenge.Since residual HCPs might affect product stability or safety,constant monitoring is required to demonstrate their removal to be below the regulatory accepted level of 100 ng/mg.The current standard analytical approach for this procedure is based on ELISA;however,this approach only measures the overall HCP content.Therefore,the use of orthogonal methods,such as liquid chromatography-mass spectrometry (LC-MS),has been established,as it facilitates the quantitation of total HCPs as well as the identification and quantitation of the indi-vidual HCPs present.In the present study,a workflow for HCP detection and quantitation using an automated magnetic bead-based sample preparation,in combination with a data-independent acquisi-tion (DIA) LC-MS analysis,was established.Employing the same instrumental setup commonly used for peptide mapping analysis of mAbs allows for its quick and easy implementation into pre-existing workflows,avoiding the need for dedicated instrumentation or personnel.Thereby,quantitation of HCPs over a broad dynamic range was enabled to allow monitoring of problematic HCPs or to track changes upon altered bioprocessing conditions.