Review highlights strategies to enhance microbial enzyme production and tackle industry challenges.
Microbial enzymes are central to numerous industrial applications, yet their large-scale production remains constrained by persistent biological and process-level limitations. These include restricted secretion capacity, insufficient operational stability, scale-up inefficiencies, and downstream processing costs that can account for 45-65% of total manufacturing expenses. This review critically examines integrated genetic, physiological, and bioprocess engineering strategies developed to overcome these interconnected bottlenecks. Comparative analysis across major enzyme classes-cellulases, proteases, lipases, and amylases-reveals both universal constraints and enzyme-specific production challenges. Quantitative benchmarks indicate that multiplex genome engineering typically delivers 3-8-fold productivity improvements in optimized strains, while adaptive laboratory evolution enhances industrial robustness by 15-30%. Process intensification and continuous production approaches reduce processing times by 40-55%, albeit with increased capital requirements, and immobilization strategies enable 50-200 operational cycles with 65-85% retention of native activity. By synthesizing advances in strain engineering, secretion optimization, fermentation design, enzyme stabilization, and downstream integration within a techno-economic framework, this review highlights how coordinated interventions yield multiplicative gains over isolated strategies. Key future directions include systems-level characterization of secretion limits, AI-assisted enzyme stability engineering, and integrated manufacturing platforms. Collectively, these insights provide practical guidance for translating laboratory advances into economically viable microbial enzyme production systems.
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Maji et al. (2026) studied this question.
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