Microbial Enzyme Production: Critical Bottlenecks and Integrated Engineering Solutions

IF 3.3 4区 生物学 Q2 MICROBIOLOGY
Poulami Maji, Anannya Sengupta, Paramita Ghosh, Prashant Shukla
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引用次数: 0

Abstract

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.

微生物酶生产:关键瓶颈和综合工程解决方案。
微生物酶是许多工业应用的核心,但它们的大规模生产仍然受到持续的生物和工艺层面的限制。这些问题包括分泌能力受限、操作稳定性不足、放大效率低下以及下游处理成本可能占总制造成本的45-65%。这篇综述批判性地考察了为克服这些相互关联的瓶颈而开发的综合遗传、生理和生物过程工程策略。对主要酶类(纤维素酶、蛋白酶、脂肪酶和淀粉酶)的比较分析揭示了普遍的限制和酶特异性生产的挑战。定量基准表明,多重基因组工程通常可使优化菌株的生产率提高3-8倍,而适应性实验室进化可使工业稳健性提高15-30%。过程强化和连续生产方法减少了40-55%的加工时间,尽管增加了资本需求,而固定化策略可以实现50-200个操作周期,保留65-85%的原生活性。通过在技术经济框架内综合菌株工程、分泌物优化、发酵设计、酶稳定和下游整合方面的进展,本综述强调了协调干预如何比孤立策略产生成倍的收益。未来的关键方向包括分泌极限的系统级表征,人工智能辅助酶稳定性工程和集成制造平台。总的来说,这些见解为将实验室进展转化为经济上可行的微生物酶生产系统提供了实际指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Basic Microbiology
Journal of Basic Microbiology 生物-微生物学
CiteScore
6.10
自引率
0.00%
发文量
134
审稿时长
1.8 months
期刊介绍: The Journal of Basic Microbiology (JBM) publishes primary research papers on both procaryotic and eucaryotic microorganisms, including bacteria, archaea, fungi, algae, protozoans, phages, viruses, viroids and prions. Papers published deal with: microbial interactions (pathogenic, mutualistic, environmental), ecology, physiology, genetics and cell biology/development, new methodologies, i.e., new imaging technologies (e.g. video-fluorescence microscopy, modern TEM applications) novel molecular biology methods (e.g. PCR-based gene targeting or cassettes for cloning of GFP constructs).
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