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The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index; none of the 49 sources its claims cite is checked for support yet.

Screening native plants for the sustainable phytoremediation of heavy metals in industrial areas of Bangladesh

Open access

Abstract

Potential native plants identified for phytoremediation.

Overview

CoChat Summary

TL;DR

In an industrial area of Gazipur, Bangladesh, 12 native plant species and underlying soils were screened for nine heavy metals by AAS, with BCF and TF used to identify phytoremediation candidates. Brachiaria mutica showed high root-to-shoot translocation for multiple metals, Colocasia esculenta and Mimosa pudica showed strong Pb accumulation/translocation, and Stellaria media showed high Cr BCF.

Key findings

  • Brachiaria mutica (P-5) had the highest TF values (∼4–8) for Pb, Cd, Cr, Fe, Co, Cu, and Ni, including Cr TF 5.49 and Cu TF 5.86.
  • For Pb, Colocasia esculenta (P-8) had an exceptionally high BCF (∼9), while Mimosa pudica (P-11) had the highest TF (8.15); for Cr, Stellaria media (P-4) had the highest BCF (7.45).
  • Zn showed the highest translocation: TF 24.21 in Mikania micrantha (P-3) and ∼31.87 in Stellaria media (P-4), with Zn BCF peaking in Urena lobata (P-10) at 14.91; Mn BCF reached 14.2 and 14.6 in Eichhornia crassipes (P-2) and Hygrophila polysperma (P-6).
  • PCA grouped species by accumulation versus translocation: PC1 and PC2 explained 58.11% of variance; B. mutica had the highest PC1 score (2.085), while C. esculenta, E. crassipes, S. media, P. purpureum, and H. polysperma were associated with high BCF and possible phytostabilization.

Methods

  • Field sampling was conducted at Noyapara, Vawal Mirzapur, Gazipur, Bangladesh; 12 plant species and 12 soil composite samples were collected from 12 core sampling sites, with topsoil (0–25 cm) taken beneath each plant canopy and three subsamples per composite.
  • Soil and separated plant root/shoot samples were dried, ashed or digested with HNO3/HClO4/HF, and analyzed for Pb, Cd, Cr, Mn, Fe, Co, Ni, Cu, and Zn using AAS (Agilent AA240 FS, air/acetylene flame); CRM checks gave spike recovery 96–104%, and triplicate measurements had RSD <10%.
  • TF was calculated as shoot/root metal concentration and BCF as root/soil metal concentration; PCA was performed on z-score-normalized BCF and TF values using Origin Pro 2024.

Limitations

  • Stated: soil pH, organic matter, CEC, metal speciation, root exudates, transporter expression, and subcellular metal distribution were not measured, so proposed mechanisms are plausible interpretations rather than experimentally demonstrated causes.
  • Stated: practical remediation capacity requires further validation through controlled experiments, seasonal monitoring, biomass-based assessments, and pilot-scale field trials of planting density, species combinations, harvesting frequency, and long-term metal removal.
  • Evident from the text: this is a single-time field screening without biomass or total metal-removal data, and the soils were below international threshold values, so the species’ performance under heavily contaminated conditions and their actual remediation efficiency remain untested.

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Integrity signals

Registry

Crossref · 10.1039/d6ra07111b

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 Valid · 1 Not valid · 24 Not checked · 70 Own results and interpretations

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Self-check

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Citations

Cites

Show all 75 references

Research works printed but not linked: 1

  1. FAO and WHO , Food Safety and Heavy Metals in Agricultural Systems . 2021

Cited by

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Metadata

Authors
Hasan, M., Ashraphy, F., Akhter, S., Abrarin, S., Tazrin, J., Islam, M. A., Akbor, M. A., Al-Amin, M., Khan, M. S., & Siddique, M. A. B.
Affiliations
  • Bangladesh Council of Scientific and Industrial Research (BD)
  • Hajee Mohammad Danesh Science and Technology University (BD)
  • Institute of National Analytical Research and Service (INARS), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhanmondi, Dhaka 1205, Bangladesh
Corresponding author
Hasan, Mehedi
Venue
RSC Advances
Published
2026
Volume
16
Issue
45
Pages
58219-58231
ISSN
2046-2069 (ISSN-L)
OpenAlex
W7214808464
Cited by
0
References
75
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • RSC Advances (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Bangladesh Council of Scientific and Industrial Research (39.02.0000.011.14.157.2022)
Topics
  • Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
  • 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
Keywords
phytoremediation, heavy metals, native plants, plant screening, cadmium uptake, bioavailability, industrial pollution, Bangladesh

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

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This page
CoChat. (2026). Citation check: Screening native plants for the sustainable phytoremediation of heavy metals in industrial areas of Bangladesh. https://app.cochat.ai/papers/10.1039/d6ra07111b
The paper
Hasan, M., Ashraphy, F., Akhter, S., Abrarin, S., Tazrin, J., Islam, M. A., Akbor, M. A., Al-Amin, M., Khan, M. S., & Siddique, M. A. B. (2026). Screening native plants for the sustainable phytoremediation of heavy metals in industrial areas of Bangladesh. RSC Advances. https://doi.org/10.1039/d6ra07111b

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.