Quantitative analysis of reducing sugars in solid‐state fermentation based on NIR combined with GA‐AdaBoost
Meng Zhao,
An Sun,
Siying He
et al.
Abstract:SummaryThis study focuses primarily on the real‐time monitoring of reducing sugar levels throughout solid‐state ethanol fermentation. A predictive model for accurate quantification of reducing sugar levels will be formulated through a comprehensive analysis of near‐infrared spectra across different fermentation stages. Building a predictive model using Adaptive Boosting (AdaBoost), The spectral data was pre‐processed using the Standard Normal Variate (SNV) method, followed by feature band selection using the G… Show more
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