Evidence map›Paper›PMID 39160249›Full record

ArticleScientific reports2024

Heavy metals biosorption in unary, binary, and ternary systems onto bacteria in a moving bed biofilm reactor.

Salman Ahmady-Asbchin, Mohammad Akbari Nasab, Claire Gerente

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Article
  2. Review
  3. Review
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

3 authors.

Salman Ahmady-AsbchinDepartment of Microbiology, Faculty of Science, University of Mazandaran, Babolsar, Iran. sa.ahmadi@umz.ac.ir.
Mohammad Akbari NasabDepartment of Marine and Environmental, Faculty of Marine and Oceanic Sciences, University of Mazandaran, Babolsar, Iran.
Claire GerenteLaboratoire GEPEA, UMR CNRS 6144, IMT Atlantique, 4 Rue Alfred Kastler, CS 20722, 44307, Nantes Cedex 03, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic and heavy metals cause direct and indirect damage to the environment and ultimately to humans. This study involved the isolation of indigenous bacteria from heavy metal-contaminated environments that have the ability to bioabsorb heavy metals such as cadmium, nickel, and lead. The bioabsorption process was optimized by varying parameters such as temperature, metal concentration, number of bacteria, pH, and more. The bacterial isolates were investigated in terms of morphology, biochemistry, and phylogeny, with 12 strains chosen in the initial stage and one strain chosen in the final stage. It should be remembered that the metal uptake capacity of all isolates was approximately calculated. A box and reactor were designed to house these optimized microorganisms. Based on biochemical, morphological, and molecular results, the isolated strain was found to be closely related to the Bacillus genus. In the first five steps of testing, the ideal pH for removing lead alone, lead with cadmium, lead with nickel, and lead ternary (with cadmium and nickel) by Bacillus bacteria was found to be 7, 6, 5.5, and 6.5, respectively. The absorption efficiencies for single lead (unary), lead together with nickel, cadmium (binary), and ternary (lead with cadmium and nickel) were found to be 0.36, 0.25, 0.22, and 0.21 mmol/g, respectively. The ideal temperature for lead removal was around 30 °C. The adsorption isotherm for each lead metal in different states was found to be similar to the Langmuir isotherm, indicating that the surface absorption process is a single-layer process. The kinetics of the process follow the second-order kinetic model. The amount of Bacillus bacteria biomass obtained during this process was approximately 1.5 g per liter.

Indexed as

BiofilmsBioreactorsMetals, HeavyAdsorptionBacillusBacteriaBiodegradation, EnvironmentalCadmiumHydrogen-Ion ConcentrationLeadNickelPhylogenyTemperatureCadmiumLeadMetals, HeavyNickelBacillusHeavy metalsReactor systemsTernary biosorption

Identifiers

PMID39160249
PMCPMC11333594

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Registered trials

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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.