Evidence map›Paper›PMID 41973255›Full record

ReviewBiodegradation2026

Impacts of arsenic contamination on plants and the role of microalgae in arsenic stress mitigation for sustainable agriculture.

Rajneesh Singh, Rachana Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biodegradation, 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

2 authors.

Rajneesh SinghAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow, 226028, India.
Rachana SinghAmity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow, 226028, India. rsingh1@lko.amity.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic (As) is a toxic metalloid that is accumulating in agricultural soils and irrigation water. As is occurring from both natural geochemical processes and various anthropogenic activities. Consequently, arsenic contamination is a serious global concern, negatively affecting plant productivity, food safety, and human health. Plants absorb As from the soil through their roots via various transport mechanisms. The absorbed As is further translocated to the shoots and other tissues, where it involved in several metabolic activities and hinders in various physiological and biochemical processes within the plants. Microalgae-based bioremediation, known as phycoremediation, has emerging strategy for mitigating arsenic contamination in affected agricultural soil and water due to its eco-friendly nature, cost-effectiveness, and sustainable applicability. Several microalgal species possess high tolerance capacity, ease of cultivation, strong metal-binding affinity, large surface area, and potential for reuse. These microalgaes have evolved as natural bioremediators with multiple detoxification mechanisms, including biosorption, bioaccumulation, biotransformation, and biomineralization, which enable it to immobilize, transform, or sequester As from contaminated soil, and water. This review explores the relationship between As exposure, As impact on plants system and the role of microalgae as efficient phycoremediators. Furthermore, it focus on the strategies to mitigate the detrimental effects of As contamination through microalgae-based remediation, elucidating the underlying mechanisms of As-induced toxicity and detoxification.

Indexed as

ArsenicMicroalgaePlantsSoil PollutantsAgricultureBiodegradation, EnvironmentalStress, PhysiologicalArsenicSoil PollutantsAgronomic practicesArsenicBioaccumulationBioremediationBiosorptionMolecular mechanismPhycoremediationPollutants

Identifiers

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.