Evidence map›Paper›PMID 41613875›Full record

ReviewBiophysical reviews2025

Bioluminescent enzymatic biosensors: ways to manage their characteristics.

Maria A Kirillova, Elena N Esimbekova, Irina G Torgashina, Valentina A Kratasyuk

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Maria A KirillovaInstitute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.
Elena N EsimbekovaInstitute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.
Irina G TorgashinaInstitute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.
Valentina A KratasyukInstitute of Fundamental Biology and Biotechnology, Siberian Federal University, 660041 Krasnoyarsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymatic biosensors have been lately gaining popularity in various areas of human life, from medicine to agriculture, owing to their effectiveness and selectivity towards the tested substances. Bioluminescent enzymatic biosensors attract special attention because of the light produced by the enzyme reaction. Researchers designing bioluminescent enzymatic sensors face a number of challenges, mainly associated with the low stability and/or sensitivity of the enzymes used as a biological recognition element of the biosensor. Herein we describe strategies of improving the analytical performance of bioluminescent enzymatic biosensors based on luciferase enzymes. We, first, discuss the increase in biosensors' sensitivity by optimizing the composition of the biological recognition element, including enzyme and substrate variations and addition of nanoparticles or stabilizing agents. Then, we provide insights into improving the stability of luciferases by immobilization or by the presence of chaperones and via directed mutagenesis. And the last section deals with projections for the future. We give special consideration to results of using these approaches in developing biosensors based on bioluminescent enzyme systems of fireflies and bacteria. Yet, the approaches described in the review are universal and can be effectively used to develop other enzymatic biosensors. Graphical Abstract:

Indexed as

Bacterial luciferaseBioluminescent biosensorDirected mutagenesisEnzyme immobilizationEnzyme inhibition-based assayEnzyme stabilizationFirefly luciferase

Identifiers

PMID41613875
PMCPMC12847483

What OpenQuestion holds

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Registered trials

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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.