Cited by 38Heavy Metal Pollution RemediationEnvironmental and Analytical Chemistry StudiesHeavy metals in environment

Bioremediation Potential of Microalgae for Sustainable Soil Treatment in India: A Comprehensive Review on Heavy Metal and Pesticide Contaminant Removal

Yeheyo, Hillary Agaba, Ealias, Anu Mary, George, Giphin, Jagannathan, Umamaheswari·2024·Journal of Environmental Management

Abstract

The escalating environmental concerns arising from soils contamination with heavy metals (HMs) and pesticides (PSTs) necessitate the development of sustainable and effective remediation strategies. These contaminants, known for their carcinogenic properties and toxicity even at small amounts, pose significant threats to both environmental ecology and human health. While various chemical and physical treatments are employed globally, their acceptance is often hindered by prolonged remediation times, high costs, and inefficacy in areas with exceptionally high pollutant concentrations. A promising emerging trend in addressing this issue is the utilization of microalgae for bioremediation. Bioremediation, particularly through microalgae, presents numerous benefits such as high efficiency, low cost, easy accessibility and an eco-friendly nature. This approach has gained widespread use in remediating HM and PST pollution, especially in large areas. This comprehensive review systematically explores the bioremediation potential of microalgae, shedding light on their application in mitigating soil pollutants. The paper summarizes the mechanisms by which microalgae remediate HMs and PSTs and considers various factors influencing the process, such as pH, temperature, pollutant concentration, co-existing pollutants, time of exposure, nutrient availability, and light intensity. Additionally, the review delves into the response and tolerance of various microalgae strains to these contaminants, along with their bioaccumulation capabilities. Challenges and future prospects in the microalgal bioremediation of pollutants are also discussed. Overall, the aim is to offer valuable insights to facilitate the future development of commercially viable and efficient microalgae-based solutions for pollutant bioremediation.

Integrity signals

Registry

Crossref · 10.1016/j.jenvman.2024.121409

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 156 · Cited by 38

Authors
Yeheyo, H. A., Ealias, A. M., George, G., & Jagannathan, U.
Affiliations
Koneru Lakshmaiah Education Foundation (IN)
Corresponding author
Ealias, Anu Mary
Venue
Journal of Environmental Management
Publisher
Elsevier BV
Published
2024-07
Volume
363
Pages
121409
ISSN
0301-4797 (ISSN-L)
OpenAlex
W4399495471
Cited by
38
References
156
Citations by year
2026: 13 · 2025: 23 · 2024: 2
FWCI
0.94
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Environmental Management (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Heavy Metal Pollution Remediation
  • Physical Sciences › Environmental Science › Water Science and Technology › Environmental and Analytical Chemistry Studies
  • Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
Keywords
microalgae, bioremediation, soil contamination, heavy metals, pesticides, phytoremediation, bioaccumulation, remediation mechanisms, co-contamination, India
MeSH terms
Biodegradation, Environmental, India, Pesticides, Soil, Soil Pollutants, Metals, Heavy, Microalgae

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review