Evidence map›Paper›PMID 42312546›Full record

ReviewBiotechnology and bioengineering2026

Bacterial Laccase: Recent Advances in Production, Engineering Strategies, and Diagnostic Applications.

Fina Wulandari Mardiyono, Bunga Septiyadi Aulia Putri, Asrul Muhammad Fuad, Neng Herawati, Desriani, Nuruliawaty Utami, Shabarni Gaffar, Dessy Natalia, Widoretno, Sri Harjati Suhardi and 2 more

Abstract readReview
In one paragraph

Review in Biotechnology and bioengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Fina Wulandari MardiyonoSchool of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, West Java, Indonesia.
Bunga Septiyadi Aulia PutriSchool of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, West Java, Indonesia.
Asrul Muhammad FuadResearch Center for Genetic Engineering, The National Research and Innovation Agency of the Republic of Indonesia (BRIN), KST Dr. Ir. Soekarno, Bogor, West Java, Indonesia.
Neng HerawatiResearch Center for Genetic Engineering, The National Research and Innovation Agency of the Republic of Indonesia (BRIN), KST Dr. Ir. Soekarno, Bogor, West Java, Indonesia.
DesrianiResearch Center for Genetic Engineering, The National Research and Innovation Agency of the Republic of Indonesia (BRIN), KST Dr. Ir. Soekarno, Bogor, West Java, Indonesia.
Nuruliawaty UtamiResearch Center for Genetic Engineering, The National Research and Innovation Agency of the Republic of Indonesia (BRIN), KST Dr. Ir. Soekarno, Bogor, West Java, Indonesia.
Shabarni GaffarDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang, West Java, Indonesia.ORCID https://orcid.org/0000-0002-3659-4774
Dessy NataliaBiochemistry and Biomolecular Engineering Research Division, Department of Chemistry, Institut Teknologi Bandung, Bandung, West Java, Indonesia.
WidoretnoResearch Center for Biomedical Engineering, The National Research and Innovation Agency of the Republic of Indonesia (BRIN), KST Dr. Ir. H. Soekarno, Bogor, West Java, Indonesia.
Sri Harjati SuhardiSchool of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, West Java, Indonesia.
Ernawati Arifin Giri-RachmanSchool of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, West Java, Indonesia.
Dani PermanaResearch Center for Environmental and Clean Technologies, The National Research and Innovation Agency of the Republic of Indonesia (BRIN), KST Prof. Dr. Samaun Samadikun, Bandung, West Java, Indonesia.

Funding

Riset dan Inovasi untuk Indonesia Maju Invitasi Stategis Platform Kolaborasi Biologi Struktur Biomolekul Keanekaragaman Hayati (LPDP-Indonesia Endowment Fund for Education Agency)
6 · The paper itself

Abstract

Bacterial laccases are multicopper oxidase enzymes that are able to catalyze the oxidation reaction of phenolic and non-phenolic substrates followed by the reduction reaction of molecular oxygen to water as the only byproduct. It exhibits high stability under harsh conditions and can be produced recombinantly in various microbial hosts. Herein, we review recent advances in bacterial laccase research over the past decade, which focus on production technologies, protein engineering strategies, and diagnostic applications. We also discuss how synthetic biology has overcome historical limitations in heterologous expression and enabled industrial-scale production in hosts such as Escherichia coli and Bacillus subtilis. In addition, we analyzed how directed evolution, rational design, post-translational modifications, and computational modeling have enhanced the catalytic properties of laccases. In the final chapter, we evaluate the use of bacterial laccases as peroxidase alternatives for detecting clinical analytes like dopamine, uric acid, and glucose biosensing and point-of-care diagnostics. This review integrated more than 120 peer-reviewed papers and provides a comprehensive assessment of how bacterial laccases are transitioning from laboratory curiosities to practical biocatalysts in environmental monitoring, industrial processing, and medical diagnostics. We conclude the review by identifying remaining challenges and future research directions for realizing the full potential of these versatile enzymes.

Indexed as

Bacterial ProteinsLaccaseProtein EngineeringBacillus subtilisBiosensing TechniquesRecombinant ProteinsBacterial ProteinsLaccaseRecombinant Proteinsbacterial laccasebiosensorsbiotechnologydiagnosticsLaccaseprotein engineeringredox enzymes

Identifiers

PMID42312546
PMCPMC13576761

What OpenQuestion holds

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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.