Enzyme engineering for functional lipids synthesis: recent advance and perspective

Bioresources and Bioprocessing, Journal Year: 2024, Volume and Issue: 11(1)

Published: Jan. 2, 2024

Abstract Functional lipids, primarily derived through the modification of natural lipids by various processes, are widely acknowledged for their potential to impart health benefits. In contrast chemical methods lipid modification, enzymatic catalysis offers distinct advantages, including high selectivity, mild operating conditions, and reduced byproduct formation. Nevertheless, enzymes face challenges in industrial applications, such as low activity, stability, undesired selectivity. To address these challenges, protein engineering techniques have been implemented enhance enzyme performance functional synthesis. This article aims review recent advances engineering, encompassing approaches from directed evolution rational design, with goal improving properties lipid-modifying enzymes. Furthermore, explores future prospects associated enzyme-catalyzed

Language: Английский

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Fungal systems for lignocellulose deconstruction: From enzymatic mechanisms to hydrolysis optimization

GCB Bioenergy, Journal Year: 2024, Volume and Issue: 16(5)

Published: April 11, 2024

Abstract Lignocellulosic biomass is an abundant renewable feedstock, but its complex structure of lignocellulose poses barriers to enzymatic hydrolysis and fermentation. Fungi possess diverse lignocellulolytic enzyme systems that synergistically deconstruct into soluble sugars for This review elucidates recent advances in understanding the molecular mechanisms underpinning fungal degradation lignocellulose. We analyze major classes tailored by fungi depolymerize cellulose, hemicellulose, lignin. Highlighted are concerted actions intimate partnerships between these biomass‐degrading enzymes. Current challenges impeding large‐scale implementation discussed, along with emerging biotechnological opportunities. Advanced pretreatments, high‐throughput engineering platforms, machine learning or artificial intelligence‐guided cocktail optimization represent promising ways improve hydrolytic efficiencies. Elucidating coordinated interplay regulation machinery can facilitate biotechnology platforms. Harnessing efficiency deconstruction promises enhance development biorefinery processes sustainable bioenergy.

Language: Английский

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Atmospheric and room temperature plasma treatment to improve methanol tolerance and catalytic activity of Mucor circinelloides for one-step biodiesel production

Fuel, Journal Year: 2025, Volume and Issue: 387, P. 134343 - 134343

Published: Jan. 18, 2025

Language: Английский

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Exploring the impact of bioactive peptides from fermented Milk proteins: A review with emphasis on health implications and artificial intelligence integration

Food Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 144047 - 144047

Published: March 1, 2025

Language: Английский

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A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis

Tenside Surfactants Detergents, Journal Year: 2024, Volume and Issue: 61(4), P. 285 - 296

Published: April 29, 2024

Abstract This review critically analyzes the incorporation of artificial intelligence (AI) in surface chemistry and catalysis to emphasize revolutionary impact AI techniques this field. The current examines various studies that using techniques, including machine learning (ML), deep (DL), neural networks (NNs), catalysis. It reviews literature on application models predicting adsorption behaviours, analyzing spectroscopic data, improving catalyst screening processes. combines both theoretical empirical provide a comprehensive synthesis findings. demonstrates applications have made remarkable progress properties nanostructured catalysts, discovering new materials for energy conversion, developing efficient bimetallic catalysts CO 2 reduction. AI-based analyses, particularly advanced NNs, provided significant insights into mechanisms dynamics catalytic reactions. will be shown plays crucial role by significantly accelerating discovery enhancing process optimization, resulting enhanced efficiency selectivity. mini-review highlights challenges data quality, model interpretability, scalability, ethical, environmental concerns AI-driven research. importance continued methodological advancements responsible implementation

Language: Английский

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Computer-Aided Semi-Rational Design to Enhance the Activity of l-Sorbosone Dehydrogenase from Gluconobacter oxidans WSH-004

Journal of Agricultural and Food Chemistry, Journal Year: 2024, Volume and Issue: 72(19), P. 10995 - 11001

Published: May 3, 2024

The titer of the microbial fermentation products can be increased by enzyme engineering. l-Sorbosone dehydrogenase (SNDH) is a key in production 2-keto-l-gulonic acid (2-KLG), which precursor vitamin C. Enhancing activity SNDH may have positive impact on 2-KLG production. In this study, computer-aided semirational design was conducted. Based analysis SNDH's substrate pocket and multiple sequence alignment, three modification strategies were established: (1) expanding entrance pocket, (2) engineering residues within (3) enhancing electron transfer SNDH. Finally, mutants S453A, L460V, E471D obtained, whose specific 20, 100, 10%, respectively. addition, ability Gluconobacter oxidans WSH-004 to synthesize improved eliminating H2O2. This study provides mutant enzymes metabolic for microbial-fermentation-based 2-KLG.

Language: Английский

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Statistical approach for newly isolated and identified microbial lipases production

Polymer Bulletin, Journal Year: 2024, Volume and Issue: 81(17), P. 15823 - 15840

Published: Aug. 1, 2024

Language: Английский

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Carbon-based magnetic nano-particle utilizing nano-biochar as core and its immobilizing lipase for biodiesel preparation

Industrial Crops and Products, Journal Year: 2024, Volume and Issue: 222, P. 119693 - 119693

Published: Sept. 19, 2024

Language: Английский

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Integrating AI and advanced spectroscopic techniques for precision food safety and quality control

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104850 - 104850

Published: Dec. 1, 2024

Language: Английский

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The Effect of Agitation and the Use of Perfluorodecalin on Lipase Production by Yarrowia lipolytica in a Bioreactor

Processes, Journal Year: 2025, Volume and Issue: 13(3), P. 865 - 865

Published: March 15, 2025

Lipase production by the strictly aerobic yeast Yarrowia lipolytica is closely related to content of dissolved oxygen in culture medium. Some strategies improve transfer microorganisms have already been used, such as use perfluorocarbons (PFCs). The present work investigates influence agitation speed and perfluorodecalin (PFC) on profile produced lipases. increased 2.5-fold with a higher (550 650 rpm) without PFCs presence an carrier led significant 91% increase lipase at lower shaking speeds compared assay PFC; however, was not detected PFC rpm. protein profiles exhibited typical bands for two lipases (near 40 60 kDa), these became more intense when added during production, result large enhancement lipolytic activity. Additionally, obtained from extracts rpm were clearer selective regardless PFC, suggesting specific activity associated shaking. These findings highlight impact availability offering valuable insights industrial applications.

Language: Английский

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