Bioremediation Potential of Microalgae for Sustainable Soil Treatment in India: A Comprehensive Review on Heavy Metal and Pesticide Contaminant Removal
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
Cites
Statistics
Claims the paper makes
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?
Microalgae exhibit very high photosynthetic efficiency, fast growth rates, and resistance to various pollutants in their culture environment.
“Compared to other types of plant biomass, microalgae exhibit very high photosynthetic efficiency, fast growth rates, and resistance to various pollutants in their culture environment [3].”
From Multi-Sensing Monitoring of the Microalgae Biomass Cultivation Systems for Biofuels and Added Value Products Synthesis—Challenges and Opportunities (2025) · cites this paper as [3]
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
- Licence
- 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