Evidence map›Paper›PMID 40464989›Full record

ReviewArchives of microbiology2025

Genetically modified lipases as biocatalysts for diacylglycerol production in the food industry: a critical review.

Debashrita Majumder, Dibyajit Lahiri, Moupriya Nag, Debasmita Bhattacharya, Rupak Roy, Tania Paul, Soumya Pandit

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Food chemistry: X · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Debashrita MajumderDepartment of Biotechnology, Institute of Engineering and Management Kolkata, University of Engineering and Management, Kolkata, India.
Dibyajit LahiriDepartment of Biotechnology, Institute of Engineering and Management Kolkata, University of Engineering and Management, Kolkata, India. dibyajit.lahiri@uem.edu.in.
Moupriya NagDepartment of Biotechnology, Institute of Engineering and Management Kolkata, University of Engineering and Management, Kolkata, India. moupriya.nag@uem.edu.in.
Debasmita BhattacharyaDepartment of Basic Science and Humanities, Institute of Engineering and Management Kolkata, University of Engineering and Management, Kolkata, India.
Rupak RoySHRM Biotechnologies Pvt. Ltd, Kolkata, India.
Tania PaulDepartment of Microbiology, Swami Vivekananda Institute of Modern Sciences, Rajpur Sonarpur, India.
Soumya PanditSchool of Life Sciences, Sharda University, Noida, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipases play a pivotal role in biocatalysis, particularly in industrial and pharmaceutical applications, due to their exceptional regio- and enantioselectivity. However, their inherent limitations, including low stability, substrate specificity constraints, and suboptimal catalytic efficiency, hinder broader utilization. Genetic modifications have emerged as a powerful strategy to enhance lipase performance, offering significant improvements in enzyme activity, thermal stability, and substrate adaptability. This study presents a comprehensive investigation into the molecular engineering of lipases, leveraging site-directed mutagenesis and computational modelling to optimize structural and functional attributes. Key advancements in protein engineering, including rational design and directed evolution, are explored to elucidate their impact on catalytic efficiency and industrial viability. Experimental validation confirms that the genetically modified lipases exhibit superior stability under extreme pH and temperature conditions, along with enhanced catalytic turnover rates. Comparative analyses with wild-type enzymes underscore the potential of engineered lipases in diverse biotechnological applications, ranging from biofuel synthesis to pharmaceutical drug development. Furthermore, the study examines the mechanistic insights underlying these modifications, offering a theoretical framework for future enzyme engineering efforts. The findings underscore the transformative potential of genetically enhanced lipases in industrial biotechnology, paving the way for more sustainable and cost-effective biocatalytic processes. Future research should focus on integrating machine learning and advanced computational tools to further refine enzyme optimization strategies.

Indexed as

DiglyceridesFood IndustryLipaseBiocatalysisEnzyme StabilityMutagenesis, Site-DirectedProtein EngineeringSubstrate SpecificityDiglyceridesLipaseBiocatalysisEnzyme stabilityIndustrial biotechnologyLipase engineeringProtein engineeringSite-directed mutagenesis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.