Evidence map›Paper›PMID 33890221›Full record

ArticleEnvironmental science and pollution research international2021

Application of sulphate and cytokinin in assisted arsenic phytoextraction by industrial Cannabis sativa L.

Martina Grifoni, Irene Rosellini, Gianniantonio Petruzzelli, Francesca Pedron, Elisabetta Franchi, Meri Barbafieri

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
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

6 authors at 3 institutions in 1 country.

Martina GrifoniNational Research Council - Research Institute on Terrestrial Ecosystems, Section of Pisa, Via Moruzzi, 1, 56124, Pisa, Italy. martina.grifoni@iret.cnr.it.ORCID http://orcid.org/0000-0002-9819-8814
Irene RoselliniNational Research Council - Research Institute on Terrestrial Ecosystems, Section of Pisa, Via Moruzzi, 1, 56124, Pisa, Italy.
Gianniantonio PetruzzelliNational Research Council - Research Institute on Terrestrial Ecosystems, Section of Pisa, Via Moruzzi, 1, 56124, Pisa, Italy.
Francesca PedronNational Research Council - Research Institute on Terrestrial Ecosystems, Section of Pisa, Via Moruzzi, 1, 56124, Pisa, Italy.
Elisabetta FranchiEni S.p.A., Renewable Energy & Environmental Laboratories, S. Donato Milanese, MI, Italy.
Meri BarbafieriNational Research Council - Research Institute on Terrestrial Ecosystems, Section of Pisa, Via Moruzzi, 1, 56124, Pisa, Italy.
National Research Council · ITEni (Italy) · ITIstituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytoextraction is currently investigated to effectively remediate soil contaminated by metals and provide highly competitive biomass for energy production. This research aimed to increase arsenic (As) removal from contaminated soil using industrial Cannabis sativa L., a suitable energy crop for biofuel production. Assisted phytoextraction experiments were conducted on a microcosm scale to explore the ability of two friendly treatments, sodium sulphate (SO

Indexed as

ArsenicCannabisMetals, HeavySoil PollutantsBiodegradation, EnvironmentalBiomassCytokininsSoilSulfatesArsenicCytokininsMetals, HeavySoilSoil PollutantsSulfatesCytokininEnergy cropsGreen and sustainable remediationPhytobiomassPlant growth regulatorSoil pollution

Identifiers

PMID33890221
OpenAlexW3155931232

What OpenQuestion holds

Textmetadata
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.