biostudies-literatureLi XNational Key Research and Development Program of China157https://www.ebi.ac.uk/biostudies/studies/S-EPMC10780171biostudies-literatureUnknown29(1)Biomolecular abundance detection of fermentation microorganisms is significant for the accurate regulation of fermentation, which is conducive to reducing fermentation costs and improving the yield of target products. However, the development of an accurate analytical method for the detection of biomolecular abundance still faces important challenges. Herein, we present a non-invasive biomolecular abundance detection method based on Raman spectra combined with target extraction and multimodel fitting. The high gain of the eXtreme Gradient Boosting (XGBoost) algorithm was used to extract the characteristic Raman peaks of metabolically active proteins and nucleic acids within <i>E. coli</i> and yeast. The test accuracy for different culture times and cell cycles of <i>E. coli</i> was 94.4% aMolecules (Basel, Switzerland)Non-Invasive Detection of Biomolecular Abundance from Fermentative Microorganisms via Raman Spectra Combined with Target Extraction and Multimodel Fitting.PMC107801712022YFC2807904Li XLi SWu QfalseNon-Invasive Detection of Biomolecular Abundance from Fermentative Microorganisms via Raman Spectra Combined with Target Extraction and Multimodel Fitting.Biomolecular abundance detection of fermentation microorganisms is significant for the accurate regulation of fermentation, which is conducive to reducing fermentation costs and improving the yield of target products. However, the development of an accurate analytical method for the detection of biomolecular abundance still faces important challenges. Herein, we present a non-invasive biomolecular abundance detection method based on Raman spectra combined with target extraction and multimodel fitting. The high gain of the eXtreme Gradient Boosting (XGBoost) algorithm was used to extract the characteristic Raman peaks of metabolically active proteins and nucleic acids within <i>E. coli</i> and yeast. The test accuracy for different culture times and cell cycles of <i>E. coli</i> was 94.4% a2023-01-01T00:00:00Z2023 Dec2026-04-28T03:21:47.631Z2025-04-05T23:39:42.06ZS-EPMC107801713820274010.3390/molecules29010157