
Protein residue analysis is a critical service that accurately identifies and quantifies trace amounts of residual proteins in various samples, providing essential insights into their composition, purity, and functionality. At BOC Sciences, we achieve this through advanced techniques like MS and immunoassays, delivering precise insights into protein composition, purity, and structure. Our comprehensive service portfolio covers everything from quantitative residue detection and amino acid sequencing to protein interaction studies and custom spatial structure analysis. Leveraging cutting-edge platforms, including triple quadrupole LC-MS/MS, high-resolution MS, and biomolecular interaction systems, we support a global clientele in biopharmaceuticals, medical devices, and food safety. Our strengths lie in high-sensitivity detection, cross-platform validation, rapid method development, and expert data interpretation, helping clients from R&D to manufacturing achieve confident, data-driven decisions.
Our service delivers precise identification and measurement of residual components within your protein samples. This analysis is fundamental for evaluating overall composition, assessing purity levels, and detecting potential modifications that could impact performance.
We decode the precise order of amino acids in your protein. Understanding this sequence is key to mapping structural characteristics and pinpointing functional regions responsible for biological activity.
We detect and characterize post-translational modifications, such as phosphorylation, acetylation, and glycosylation, that critically regulate protein function. Our analysis helps identify variant forms and the factors influencing protein behavior in different biological settings.
This service investigates how specific protein residues facilitate or regulate interactions with other proteins. These insights are crucial for elucidating the functional mechanisms of your target protein within complex biological pathways.
We analyze the three-dimensional arrangement of protein residues. Understanding this spatial conformation is essential, as even subtle structural shifts can directly alter protein function, stability, and interactions.
We collaborate with you to design a project-specific analysis strategy. Our team selects the optimal methodologies to address your unique research questions and delivers comprehensive, interpretative reporting aligned with your objectives.
With BOC Sciences, you get high-quality protein residue analysis using cutting-edge technologies, ensuring your project stays on track.



Provide your project details, and BOC Sciences will deliver precise and customized protein residue analysis solutions tailored to your research needs.

We discuss client requirements, project scope, and specific protein residue analysis needs to tailor the best approach for their objectives.

Client provides samples, which are processed and prepared for analysis, ensuring optimal conditions for accurate residue detection.

Advanced techniques such as mass spectrometry or immunoassays are employed to detect and quantify protein residues in the samples.

Comprehensive results and analysis are compiled into a detailed report, highlighting key findings and interpretations relevant to the client's needs.
Our platform reliably identifies trace-level protein contaminants, detecting targets at concentrations as low as single-digit ppm. This ensures critical impurities are not overlooked in your final product.
We employ orthogonal methods such as mass spectrometry and immunoassays for critical analyses. This multi-technique approach provides robust, verified data, increasing confidence in your results.
For novel or complex samples, we expedite custom assay development, often establishing validated protocols within weeks. This accelerates your project timeline from sample submission to actionable data.
Our reports go beyond raw data, providing contextual analysis and trend identification. We highlight potential process implications, helping you translate data into actionable process improvements.
Client Needs: A biotech company needed to identify the specific host cell proteins (HCPs) present as residuals in their monoclonal antibody product.
Challenges: Traditional ELISA only provided total HCP amount, failing to identify individual species for targeted process improvement.
Solution: We utilized a high-resolution LC-MS/MS platform for label-free proteomic analysis. By employing a custom-built HCP database, we precisely identified and relatively quantified over 100 trace HCPs, highlighting species with potential immunogenicity risks and providing a comprehensive residual profile.
Outcome: The client successfully identified critical impurities and optimized their downstream purification steps accordingly.
Client Needs: A CDMO required validation of cleaning effectiveness in their production line after a product changeover.
Challenges: Line residuals were complex, requiring differentiation between previous product carryover, host proteins, and cleaning agent interference.
Solution: We designed a multi-pronged strategy. Using highly specific mass spectrometry, we targeted signature peptides from the previous product, concurrently conducting broad proteomic screening. Comparative analysis against blank controls clearly distinguished and quantified all residual sources.
Outcome: The client received a definitive cross-contamination report, supporting the feasibility of multi-product use in their manufacturing line.
Client Needs: An industrial enzyme producer wanted to evaluate potential catalytic side-activities from non-target protein residuals.
Challenges: Trace residual proteins could catalyze side-reactions, impacting end-product stability and consistency.
Solution: We combined protein residual analysis with functional testing. After identifying the residual protein profile via high-sensitivity MS, we used activity-based proteomic probes to specifically detect hydrolytic or oxidoreductase activities, linking protein identity to potential function.
Outcome: The client pinpointed functional risks from key residual proteins, guiding efforts to enhance enzyme purity and performance.
Protein residue analysis is a service that uses high-sensitivity detection techniques such as LC-MS/MS and immunological methods to qualitatively and quantitatively analyze trace amounts of non-target or foreign proteins in samples. It goes beyond simple "present/absent" tests, enabling precise identification of the type, source, and relative abundance of residual proteins. This provides molecular-level key data for process optimization, contamination control, and product quality assessment.
Traditional ELISA testing typically provides total quantity information for a known single target, without the ability to parse the specific components in complex residues. In contrast, mass spectrometry-based protein residue analysis is a discovery-driven, non-targeted, or highly specific targeted approach. It can identify and quantify hundreds or even thousands of unknown proteins, detecting unexpected residues, such as distinguishing between host cell proteins, media components, or residuals from previous batches in biopharmaceuticals. This overcomes the blind spots caused by cross-reactivity or insufficient data in ELISA.
One of the core challenges in downstream purification is the effective removal of process-related impurities, such as HCP. By performing in-depth protein residue analysis on samples taken after multiple purification steps, we can generate detailed "impurity clearance maps." These maps pinpoint which purification columns are less efficient at removing specific HCPs, thereby guiding targeted optimization of process parameters (e.g., adjusting elution conditions) or switching column resins. This transforms experience-driven purification into data-driven, precise process development.
The biocompatibility and functionality of implanted medical devices or biomaterials are directly related to the composition of the protein layer (the "protein corona") adsorbed on their surfaces. Different protein adsorption patterns can trigger inflammatory responses or affect cell adhesion. Protein residue analysis enables precise characterization of the types and amounts of proteins adsorbed on the material’s surface after contact with biological fluids, allowing for the assessment of material-biological environment interactions. This provides crucial scientific data for surface modification, coating design, and safety predictions.
Protein residue analysis is crucial in drug development, especially during target identification and validation. By identifying specific phosphorylation sites, glycosylation patterns, or other post-translational modifications, researchers can gain a deeper understanding of how drugs interact with proteins, thereby improving the precision of drug design. This type of analysis not only accelerates drug screening but also optimizes the biological activity and specificity of drug candidates.
Your deep-residue analysis precisely identified trace host proteins that evaded our standard methods, providing the clarity needed to redesign our final purification column and significantly boost product yield.
— Dr. Foster, Bioprocess Lead at a leading gene therapy firm
Your comprehensive analysis provided the critical data we needed to confidently implement a multi-product campaign on a shared manufacturing line, ensuring no cross-contamination between batches.
— Ms. Reed, Operations Director at a European CDMO
The detailed breakdown of residual protein components in our spent media was invaluable. It directly guided our formulation team to make targeted adjustments, improving cell culture performance.
— Dr. Vargas, Head of Development at a cell culture science company
Your fast and definitive residue testing after a major equipment retrofit gave us the confidence to proceed with production on schedule, eliminating costly downtime and uncertainty.
— Mr. Shaw, Site Head at a biologics manufacturing plant
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