ReviewWorld journal of microbiology & biotechnology2025
Biosorption and bioremediation of heavy metal ions from wastewater using algae: A comprehensive review.
Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Engineering cyanobacterial resilience for cadmium bioremediation: linking Cd speciation, cellular detoxification, and synthetic biology.RSC advances · 2026Review
- A framework for microalgal biosorption of heavy metals: mechanisms, modeling, and critical insights.RSC advances · 2026Review
- Transforming Residual Microbial Biomass into High-Value Bicomposite Material for Reactive-Dye Removal: Insights from Batch Investigations to Fluidized-Bed Reactor Applications.Materials (Basel, Switzerland) · 2026Article
- Eco-Friendly Copper Recovery: Insights to Algal and Agricultural Waste Application.Water environment research : a research publication of the Water Environment Federation · 2026Article
- Screening Bioremediation for the Effective Removal of Regulated and Emerging Contaminants from Mining Wastewater.Molecules (Basel, Switzerland) · 2026Article
- Toward Industrial Application of Cyanobacterial Biosorption: Insights From Real Electroplating Effluents.Water environment research : a research publication of the Water Environment Federation · 2026Article
- Physiological and metabolic responses ofFrontiers in bioengineering and biotechnology · 2026Article
- Integrated morphological, proteomic and metabolomic analyses reveal response mechanisms of microalgae under uranium exposure.Frontiers in microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Algal-based bioremediation has emerged as a promising, environmentally sustainable, and economically feasible method for the removal of heavy metal ions from contaminated wastewater. This review offers a comprehensive examination of the potential of both microalgae and macroalgae in biosorption and bioremediation processes. It investigates the physicochemical mechanisms involved, including surface adsorption, ion exchange, complexation, bioaccumulation, bioprecipitation, and enzymatic reduction. The efficiency of metal removal is influenced by various factors such as algal species, metal type, pH, and temperature. Case studies underscore the successful application of algae in removing metals such as lead, cadmium, arsenic, and chromium. The advantages of using algae include high metal-binding capacity, rapid growth rates, biomass regeneration potential, and minimal sludge generation. However, challenges persist in biomass harvesting, reusability, and scaling up for real-world applications. Future advancements may focus on the genetic engineering of algal strains and integration with other treatment technologies to enhance performance and feasibility in industrial settings.
Indexed as
Identifiers
40640643What OpenQuestion holds
Registered trials
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.