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March 7, 2026Analytical Chemistry

Multimodal Molecular Spectroscopy (UV–Vis, ATR-MIR, SERS) Coupled with Chemometrics for Lipopeptide Fermentation Monitoring

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Authors

JBJuan BaiYZYefeng ZhouYHYan He

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Overview

Demonstrates an integrated methodology for improving lipopeptide yield in fermentation, suggesting efficient monitoring solutions for bioprocesses.

Key Points

  • The research aims to develop a comprehensive method for monitoring lipopeptide fermentation using advanced spectroscopy techniques.
  • Utilized UV-vis, ATR-MIR, and SERS spectroscopy for data collection
  • Built partial least-squares regression models for key fermentation metrics
  • Applied the sCARS algorithm for feature extraction
  • Evaluated multiple fusion strategies to enhance predictive accuracy
  • Achieved R²p of 0.986 for lipopeptide yield prediction
  • Obtained R²p of 0.977 for cell concentration prediction
  • sCARS outperformed principal component analysis in feature extraction
  • Full feature fusion provided the highest predictive accuracy

Cite This Study

Bai et al. (2026) studied this question.

synapsesocial.com/papers/69abc2355af8044f7a4eb8b8https://doi.org/10.1021/acs.analchem.5c07695
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