Authors
Debashrita Majumder, Subrata Dash, Debasmita Bhattacharya, Harjot Singh Gill, Vaseem Raja, Juwita Ratna Dewi, Arpita Roy, Mithul Rajeev, Soumya Pandit, Shubham Sharma, Shashi Prakash Dwivedi, Moupriya Nag, Dibyajit Lahiri
Published in
Archives of microbiology. Volume 208. Issue 6. Mar 21, 2026. Epub Mar 21, 2026.
Abstract
Lipases are versatile enzymes with widespread industrial applications, including detergents, food processing, pharmaceuticals, biofuels, and environmental cleanup. Their ability to catalyze both hydrolytic and synthetic reactions under diverse conditions underpins their biotechnological significance. Native lipases, however, exhibit limitations such as low stability, narrow substrate spectrum, and low production yields, which limit their large-scale application. Emerging developments in genetic and protein engineering have enabled accurate modulation of enzyme properties and expression systems, offering potential solutions to overcome these challenges. This review presents an integrated view of existing strategies for designing high-performance lipases for industrial applications. It summarizes advancements from metagenomic discovery and gene optimization to expression optimization through codon improvement, promoter adjustment, signal peptide design, and chaperone-mediated folding. Protein engineering strategies, including rational design, directed evolution, and domain recombination; are addressed to enhance catalytic activity, selectivity, and thermostability. Concomitantly, breakthroughs in fermentation optimization, host metabolism engineering, and enzyme immobilization have enhanced the scalability and operational robustness of lipase manufacturing. Novel omics-driven and systems biology platforms now facilitate the rational design of microbial hosts optimized for efficient enzyme biosynthesis. Collectively, these advances outline a coherent blueprint for engineering lipases into strong, industrially applicable biocatalysts.
PMID:
41863618
Bibliographic data and abstract were imported from PubMed on 16 Jun 2026.
Read full publication at:
Please sign in
to see all details.
Advertisement
Stats
- Recommendations n/a n/a positive of 0 vote(s)
- Views 15
- Comments 0