Evidence map›Paper›PMID 29651592›Full record

ArticleEnvironmental monitoring and assessment2018

Influence of Zn, Cd, and Cu fractions on enzymatic activity of arable soils.

Adam Łukowski, Dorota Dec

Open access · hybridAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.8field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Synthetic bacteria for the detection and bioremediation of heavy metals.Frontiers in bioengineering and biotechnology · 2023
    Review
  5. Review
  6. Fungal-bacterial biofilm mediated heavy metal rhizo-remediation.World journal of microbiology & biotechnology · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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

2 authors at 1 institution in 1 country.

Adam ŁukowskiDepartment of Technology and Environmental Engineering Systems, Bialystok University of Technology, Wiejska 45A, 15-351, Białystok, Poland. a.lukowski@pb.edu.pl.
Dorota DecDepartment of Agri-Food Engineering and Environmental Management, Bialystok University of Technology, Wiejska 45A, 15-351, Białystok, Poland.
Bialystok University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the heavy metal effect on enzymatic activity in acidic soil samples during spring, summer, and autumn. The four metal fractions, acid-soluble and exchangeable (F1), reducible (F2), oxidizable (F3), and residual (F4) using BCR method in soil samples, were evaluated. The highest percentage share of zinc and copper was determined in F4 (45.8, 54.9%, respectively) and cadmium in F3 (45.6%). The enzymatic activity in soil was differentiated in seasons. During spring, the significant relationship was noted between F1/zinc/dehydrogenase, during summer F2/cadmium/phosphatase as well as F4/cadmium/dehydrogenase and autumn F3/zinc/dehydrogenase. Fraction F1/zinc/copper influenced phosphatase activity, whereas F3/Zn increased dehydrogenase and F2/Cd protease activity. The results indicate that the heavy metals affected dehydrogenase activity the most.

Indexed as

Environmental MonitoringSoil MicrobiologyAcidsCadmiumCopperEnzymesMetals, HeavySoilSoil PollutantsZincAcidsCadmiumCopperEnzymesMetals, HeavySoilSoil PollutantsZincBCR methodEnzymeHeavy metalMetal fractionation

Identifiers

PMID29651592
PMCPMC5897489
OpenAlexW2796485389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.