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As a non‐destructive sensing technique, Raman spectroscopy is often combined with regression models for real‐time detection of key components in microbial cultivation processes. However, achieving accurate model predictions often requires a large amount of offline measurement data for training, which is both time‐consuming and labor‐intensive. In order to overcome the limitations of traditional models...