Evidence map›Paper›PMID 37497096›Full record

ArticleRSC advances2023

Fe-Al binary composite filled dialysis membrane tubes (DMT-HFAO): a modified method for assessment of phosphate desorption from aqueous and soil solutions.

Ahmed Kassim, Abi M Taddesse, Dechassa Nigussie, Isabel Diaz, Nejat Redwan Habib

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 2 countries.

Ahmed KassimDepartment of Chemistry, Hawassa College of Teacher Education Ethiopia.
Abi M TaddesseDepartment of Chemistry, Haramaya University P.O. Box 138 Dire Dawa Ethiopia abi92003@yahoo.com +251912018750.ORCID https://orcid.org/0000-0002-0071-6207
Dechassa NigussieSchool of Plant Sciences, Haramaya University Ethiopia.
Isabel DiazInstituto de Catálisis y Petroleoquímica, CSIC C/Marie Curie 2 Madrid 28049 Spain.
Nejat Redwan HabibDepartment of Applied Chemistry, Adama Science and Technology University Ethiopia.ORCID https://orcid.org/0000-0002-7750-8350
Haramaya University · ETAdama Science and Technology University · ETHawassa University · ETInstituto de Catálisis y Petroleoquímica · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorus (P) limits plant growth particularly in strongly acidic soils due to P fixation. P availability to a plant is a functional concept of time rather than a measurable quantity. Therefore, a method that can estimate P availability over time is required. This research work was intended to synthesize a nanocomposite material that can monitor soil P desorption kinetics. To this effect, a binary sorbent system filled in a dialysis membrane tube was developed. Accordingly, calcined and amorphous powder samples of Fe-Al binary mixed oxides were synthesized by a gel-evaporation method and characterized by XRD, FTIR, TGA-DTA, SEM-EDX and BET techniques. The performance, as a phosphate sink, of crystalline hydrous ferric aluminum oxide (HFAO) and hydrous amorphous ferric aluminum oxide (HAFAO) each filled in a dialysis membrane tube (DMT) was evaluated. A single hydrated ferric oxide (HFO) suspension filled in dialysis membrane tubes (DMT) designated DMT-HFO was used as a benchmark. For the aqueous system, the sorption capacity of the DMT-HFAO was found to be 260% (mg mg

Identifiers

PMID37497096
PMCPMC10366655
OpenAlexW4385234079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.