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Plants as effective bioindicators for heavy metal pollution monitoring

cris.virtual.author-orcid0000-0002-8658-2691
cris.virtual.author-orcid0000-0002-0655-9820
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cris.virtual.author-orcid0000-0001-8725-5791
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cris.virtualsource.author-orcid06037d89-952e-49ca-8b05-a2d4fb672ae9
cris.virtualsource.author-orcid77030be3-9caf-4e45-95a9-fd6a80b76230
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cris.virtualsource.author-orcid9b0c4ff1-119d-4da9-aac1-4b131a375340
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enThis study investigated the bioindicator potential of Amaranthus retroflexus L., Plantago lanceolata L., Rumex acetosa L., and Trifolium pratense L. including the use of Lolium multiflorum L. as a reference species, for heavy metal pollution monitoring, in particular Zinc (Zn), Cadmium (Cd), Nickel (Ni), and Lead (Pb). Controlled heavy metal contamination was applied through irrigation with metal nitrate solutions two levels of contamination (low and high). The study also focused on analyzing heavy metals concentration in plant tissues and related physiological responses. Distinct physiological responses to heavy metal stress were observed among the investigated species, highlighting unique variations in their reactions. Hydrogen peroxide, malondialdehyde content, and enzymatic activities emerged as reliable indicators of plant stress induced by heavy metal solutions. P. lanceolata displayed elevated Zn concentrations in both roots and leaves (3271 ± 337 and 4956 ± 82 mg kg−1). For Pb, L. multiflorum and P. lanceolata showed highest root concentrations (2964 ± 937 and 1605 ± 289 mg kg−1), while R. acetosa had higher leaf concentration (1957 ± 147 mg kg−1). For Ni, L. multiflorum had the highest root concentration (1148 ± 93 mg kg−1), and P. lanceolata exhibited the highest leaf concentration (2492 ± 28 mg kg−1). P. lanceolata consistently demonstrated the highest Cd concentrations in both roots (126 ± 21 mg kg−1) and leaves (163 ± 12 mg kg−1). These results provide valuable insights for selecting effective bioindicator species to establish control strategies for heavy metal pollution.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Ekologii i Ochrony Środowiska
dc.article.number119222
dc.contributor.authorCakaj, Arlinda
dc.contributor.authorDrzewiecka, Kinga
dc.contributor.authorHanć, Anetta
dc.contributor.authorLisiak-Zielińska, Marta
dc.contributor.authorCiszewska, Liliana
dc.contributor.authorDrapikowska, Maria Agnieszka
dc.custom.order2
dc.date.access2024
dc.date.accessioned2024-07-08T09:00:17Z
dc.date.available2024-07-08T09:00:17Z
dc.date.copyright2024-07-04
dc.date.issued2024
dc.description.accesstimeafter_publication
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.versionfinal_published
dc.description.volume256
dc.identifier.doi10.1016/j.envres.2024.119222
dc.identifier.issn0013-9351
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/1578
dc.languageen
dc.relation.ispartofEnvironmental Research
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.enBioconcentration
dc.subject.enBioindicator
dc.subject.enHeavy metal
dc.subject.enPhysiological response
dc.subject.enTranslocation
dc.subject.enWeeds
dc.titlePlants as effective bioindicators for heavy metal pollution monitoring
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume256
project.funder.nameinne