Evidence map›Paper›PMID 34402010›Full record

ArticleEnvironmental science and pollution research international2022

Heavy metal incorporation in foraminiferal calcite under variable environmental and acute level seawater pollution: multi-element culture experiments for Amphisorus hemprichii.

Netramani Sagar, Aleksey Sadekov, Talia Jenner, Lorie Chapuis, Peter Scott, Mukesh Choudhary, Malcolm McCulloch

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Netramani SagarOceans Graduate School, The University of Western Australia, Perth, Australia. netramani.sagar@research.uwa.edu.au.ORCID http://orcid.org/0000-0001-7918-0339
Aleksey SadekovOceans Graduate School, The University of Western Australia, Perth, Australia.
Talia JennerSchool of Earth Sciences, The University of Western Australia, Perth, Australia.
Lorie ChapuisOceans Graduate School, The University of Western Australia, Perth, Australia.
Peter ScottOceans Graduate School, The University of Western Australia, Perth, Australia.
Mukesh ChoudharySchool of Agriculture and Environment, The University of Western Australia, Perth, Australia.
Malcolm McCullochOceans Graduate School, The University of Western Australia, Perth, Australia.

Funding

Centre of Excellence for Coral Reef Studies, Australian Research Council CE140100020
6 · The paper itself

Abstract

The accelerated release of heavy metals into the coastal environments due to increasing anthropogenic activities poses a severe threat to local marine ecosystems and food chains. Although some heavy metals are essential nutrients for plants and animals, higher concentrations can be toxic and hazardous. To mitigate this threat, developing quantifiable proxies for monitoring heavy metal concentrations in near-shore marine environments is essential. Here, we describe culture experiments to quantify uptake of some heavy metals using live juvenile specimens of the large benthic foraminifera (LBF) Amphisorus hemprichii collected from the subtropical waters of Rottnest Island located ~20 km offshore Perth, South West Australia. The uptake of Mn, Ni, Cd, and Pb in the newly precipitated chambers of Amphisorus hemprichii in the laboratory was characterized using the micro-analytical technique, laser ablation inductively coupled plasma mass spectrometry. We found no significant increase in Mn, Ni, Cd, and Pb incorporation in the tests of Amphisorus hemprichii with increasing temperature and light intensities. Importantly, we found that changes in the concentrations of Mn, Ni, and Cd in the A. hemprichii tests are directly proportional to those in the culture solution over a wide range of concentrations. The calculated partition coefficients for Mn, Ni, and Cd from our culture experiments are 1.3±0.2, 0.3±0.04, 2.6±0.3, respectively. These multi-element calibration studies now enable A. hemprichii to be utilized as a naturally occurring bio-archive to quantitatively monitor the anthropogenic pollution of Mn, Ni, and Cd in coastal waters.

Indexed as

ForaminiferaMetals, HeavyWater Pollutants, ChemicalAnimalsAnthropogenic EffectsCalcium CarbonateEcosystemEnvironmental MonitoringGeologic SedimentsSeawaterCalcium CarbonateMetals, HeavyWater Pollutants, ChemicalAmphisorus hemprichiiCoastal monitoringHeavy metal pollutionLaboratory cultureLA-ICP-MSLarge benthic foraminifera

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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.