ArticleScientific reports2026
Development of a chemometric platform for mid-infrared fermentation monitoring.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
Industrial bioprocess development still depends heavily on off-line analytics such as HPLC, which, while accurate, are slow and limit real-time decision-making. Process Analytical Technologies (PAT) can overcome this barrier, with mid-infrared spectroscopy (mIR) offering fast, sensitive, and cost-effective monitoring. Yet, most applications rely on complex chemometric tools such as Partial Least Squares (PLS), restricting adoption by non-specialists and limiting systematic evaluation of data sources. Here, we present a streamlined platform for rapid spectral analysis and chemometric model construction to monitor glucose consumption and citramalic acid production during continuous E. coli fermentations. The workflow integrates baseline correction, optimal wavenumber region selection, and correlation of solute concentrations with the area-under-the-curve (AUC), enabling straightforward model generation without advanced statistical expertise. Comparative evaluation across pure solutions, synthetic mixtures, and fermentation broths revealed continuous cultures as the most robust calibration dataset. While the baseline/AUC method showed slightly higher mean absolute error (~ 0.65 g L⁻
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