<p>Innovative hyphenated technologies, such as size exclusion chromatography coupled with capillary-enhanced Raman spectroscopy (SEC-CERS), enable more comprehensive analyses of biopharmaceutical drug products. However, specialized software for processing and analyzing data from these advanced techniques is often lacking. This study introduces the R package StreamFind, which is designed to help users seamlessly process both chromatographic and Raman spectroscopic data within an integrated workflow. We detail the implementation and structure of StreamFind and demonstrate its ability in the in-depth analysis of biopharmaceutical products. The study shows its capability to differentiate monoclonal antibodies and entire biopharmaceutical formulations and to quantify various components based on their Raman spectra. Principal component analysis (PCA) identified significant differences among the biopharmaceutical products analyzed, while multivariate curve resolution-alternating least squares (MCR-ALS) proved to be an effective method for quantifying different components within these products. The StreamFind platform is designed to be extensible, to facilitate contributions from new users and to support the future integration of additional algorithms to process different types of complex analytical data.</p> Graphical Abstract <p></p>

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StreamFind: data processing workflows for qualification and quantification of biopharmaceutical drug products analyzed by size exclusion chromatography coupled to capillary-enhanced Raman spectroscopy

  • Jana Thissen,
  • Martin D. Klassen,
  • Björn Fischer,
  • Michael C. Hacker,
  • Jörg Breitkreutz,
  • Thorsten Teutenberg,
  • Ricardo Cunha

摘要

Innovative hyphenated technologies, such as size exclusion chromatography coupled with capillary-enhanced Raman spectroscopy (SEC-CERS), enable more comprehensive analyses of biopharmaceutical drug products. However, specialized software for processing and analyzing data from these advanced techniques is often lacking. This study introduces the R package StreamFind, which is designed to help users seamlessly process both chromatographic and Raman spectroscopic data within an integrated workflow. We detail the implementation and structure of StreamFind and demonstrate its ability in the in-depth analysis of biopharmaceutical products. The study shows its capability to differentiate monoclonal antibodies and entire biopharmaceutical formulations and to quantify various components based on their Raman spectra. Principal component analysis (PCA) identified significant differences among the biopharmaceutical products analyzed, while multivariate curve resolution-alternating least squares (MCR-ALS) proved to be an effective method for quantifying different components within these products. The StreamFind platform is designed to be extensible, to facilitate contributions from new users and to support the future integration of additional algorithms to process different types of complex analytical data.

Graphical Abstract