Evidence map›Paper›PMID 40216649›Full record

ReviewApplied microbiology and biotechnology2025

Harnessing the power of biosensors for environmental monitoring of pesticides in water.

Filipa Mendes, Beatriz O Machado, Bruno B Castro, Maria João Sousa, Susana R Chaves

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2025. 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

5 authors.

Filipa MendesCentre of Molecular and Environmental Biology (CBMA) & Aquatic Research Network (ARNET), Department of Biology, School of Sciences of the University of Minho, 4710-057, Braga, Portugal.
Beatriz O MachadoCentre of Molecular and Environmental Biology (CBMA) & Aquatic Research Network (ARNET), Department of Biology, School of Sciences of the University of Minho, 4710-057, Braga, Portugal.
Bruno B CastroCentre of Molecular and Environmental Biology (CBMA) & Aquatic Research Network (ARNET), Department of Biology, School of Sciences of the University of Minho, 4710-057, Braga, Portugal.
Maria João SousaCentre of Molecular and Environmental Biology (CBMA) & Aquatic Research Network (ARNET), Department of Biology, School of Sciences of the University of Minho, 4710-057, Braga, Portugal.
Susana R ChavesCentre of Molecular and Environmental Biology (CBMA) & Aquatic Research Network (ARNET), Department of Biology, School of Sciences of the University of Minho, 4710-057, Braga, Portugal. suchaves@bio.uminho.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current strong reliance on synthetic chemicals, namely pesticides, is far from environmentally sustainable. These xenobiotics contribute significantly to global change and to the current biodiversity crisis, but have been overlooked when compared to other agents (e.g., climate change). Aquatic ecosystems are particularly vulnerable to pesticides, making monitoring programs essential to preserve ecosystem health, safeguard biodiversity, ensure water quality, and mitigate potential human health risks associated with contaminated water sources. Biosensors show great potential as time/cost-effective and disposable systems for the high-throughput detection (and quantification) of these pollutants. In this mini-review, we provide an overview of biosensors specifically developed for environmental water monitoring, covering different pesticide classes (and active ingredients), and types of biosensors (according to the bio-recognition element) and transducers, as well as the nature of sample matrices analyzed. We highlight the variety of biosensors that have been developed and successfully applied to detection of pesticides in aqueous samples, including enzymatic biosensors, immunosensors, aptasensors, and whole cell-based biosensors. While most biosensors have been designed to detect insecticides, expanding their compound target range could significantly streamline monitoring of environmental contaminants. Despite limitations related to stability, reproducibility, and interference from environmental factors, biosensors represent a promising and sustainable technology for pesticide monitoring in the aquatic environments, offering sensitivity and specificity, as well as portability and real-time results. We propose that biosensors would be most effective as an initial screening step in a tiered assessment, complementing conventional methods. KEY POINTS: • Pesticides harm aquatic ecosystems and biodiversity, requiring better monitoring • Biosensors offer cost-effective solutions to detect pesticides in water samples • Biosensors complement conventional methods as a sustainable tool for initial screens.

Indexed as

Biosensing TechniquesEnvironmental MonitoringPesticidesWater Pollutants, ChemicalPesticidesWater Pollutants, ChemicalAquatic ecosystemsBiosensorsEnvironmental monitoringPesticidesWater quality

Identifiers

PMID40216649
PMCPMC11991957

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.