Deep Learning-Powered Colloidal Digital SERS for Precise Monitoring of Cell Culture Media.

ABSTRACT: Maintaining consistent quality in biopharmaceutical manufacturing is essential for producing high-quality complex biologics. Yet, current process analytical technologies (PAT) struggle to achieve rapid and highly accurate monitoring of small molecule critical process parameters and critical quality attributes. While Raman spectroscopy holds great promise as a highly sensitive and specific bioanalytical tool for PAT applications, its conventional implementation, surface-enhanced Raman spectroscopy (SERS), is constrained by considerable temporal and spatial intensity fluctuations, limiting the achievable reproducibility and reliability. Herein, we introduce a deep learning-powered colloidal digital SERS platform to address these limitations. Rather than addressing the intensity fluctuations,

SUBMITTER: Zheng P 

PROVIDER: S-EPMC11838542 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature