Evidence map›Paper›PMID 40232538›Full record

ReviewWorld journal of microbiology & biotechnology2025

Insights into the potential of Chlorella species in the treatment of hazardous pollutants from industrial effluent.

Ricky Rajamanickam, Rangabhashiyam Selvasembian

Abstract readReview
PubMed Publisher
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Ricky RajamanickamDepartment of Environmental Science and Engineering, School of Engineering and Sciences, SRM University-AP, Amaravati, Andhra Pradesh, 522240, India.
Rangabhashiyam SelvasembianDepartment of Environmental Science and Engineering, School of Engineering and Sciences, SRM University-AP, Amaravati, Andhra Pradesh, 522240, India. rambhashiyam@gmail.com.

Funding

ASEAN- India Collaborative R&D scheme under ASEAN-India S&T Development Fund CRD/2024/000712.SRM University-AP SRMAP/URG/SEED/2023-2024/021
6 · The paper itself

Abstract

Effluents from the industrial sector contain a wide range of contaminants in the medium; when they are insufficiently treated and discharged in the aquatic environment, they pollute aquatic matrices, causing deleterious effects on all the lifeforms. Industries such as tanneries, textiles, dairy, pharmaceuticals, paper and pulp, food processing, petrochemicals, iron, and steel generate wastewater containing a wide range of environmentally harmful contaminants. Chlorella species are robust species that can adapt and grow in extreme conditions and have remarkable stress response mechanism with good acclimatization and bioremediation properties. This review aims to provide new insights on the importance of Chlorella in the treatment of industrial effluents. It provides a comprehensive summary of investigations that have proved the potential of Chlorella vulgaris, Chlorella minutissima, Chlorella sorokiniana, Chlorella kessleri, Chlorella ellipsoidea, Chlorella emersonii, Chlorella pyrenoidosa in the elimination of contaminants. Furthermore, highlights the mechanisms that Chlorella undergo in the effluent medium towards the removal of various contaminants.

Indexed as

ChlorellaHazardous SubstancesIndustrial WasteWastewaterWater Pollutants, ChemicalWater PurificationBiodegradation, EnvironmentalHazardous SubstancesIndustrial WasteWastewaterWater Pollutants, ChemicalChlorellaIndustrial wastewaterMechanismPhycoremediationPollutants

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.