Evidence map›Paper›PMID 41254096›Full record

ArticleScientific reports2025

Predicting heavy metal accumulation in alfalfa (Medicago sativa) using soil properties of sewage sludge amendments.

Mohamed T Ahmed, Sulaiman A Alrumman, Pankaj Kumar, Ivan Širić, Željko Andabaka, Ebrahem M Eid

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

0 citing papers in PubMed.

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

6 authors.

Mohamed T AhmedBiology Department, College of Science, King Khalid University, Abha, 61321, Saudi Arabia.
Sulaiman A AlrummanBiology Department, College of Science, King Khalid University, Abha, 61321, Saudi Arabia.
Pankaj KumarResearch and Development Division, Society for AgroEnvironmental Sustainability, Dehradun, 248007, India.
Ivan ŠirićUniversity of Zagreb Faculty of Agriculture, Svetosimunska 25, Zagreb, 10000, Croatia. isiric@agr.hr.
Željko AndabakaUniversity of Zagreb Faculty of Agriculture, Svetosimunska 25, Zagreb, 10000, Croatia.
Ebrahem M EidBotany Department, Faculty of Science, Kafrelsheikh University, 33516, Kafr El-Sheikh, Egypt.

Funding

King Khalid University grant number RGP2/96/46
6 · The paper itself

Abstract

Sustainable management of sewage sludge (SS) produced from municipal wastewater treatment facilities has become one of the major challenges around the world. Despite its utilization as a soil amendment, the issue of heavy metal contamination persists as a major concern, given the potential for accumulation in the edible parts of crops. Therefore, the present study aimed to develop predictive models to evaluate the uptake of nine heavy metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) by the shoots and roots of alfalfa plants (Medicago sativa L.) grown in soil mixed with varying contents of SS (0, 10, and 20 g/kg). The results of the present study showed that the mixing of SS enhanced soil nutrients but also elevated heavy metal contents. Alfalfa shoots accumulated significantly higher levels of Pb (26.03 mg/kg) and Zn (83.67 mg/kg) compared to roots, with Pb showing the highest bioaccumulation factor (7.1) and Mn exhibiting the strongest translocation factor (> 1.8). Predictive regression models indicated that soil pH, organic matter, electrical conductivity, and heavy metal contents were the most influential determinants of uptake. The best-fitting models achieved R

Indexed as

Medicago sativaMetals, HeavySewageSoilSoil PollutantsPlant RootsPlant ShootsMetals, HeavySewageSoilSoil PollutantsCrop safetyLucerne cultivationMathematical modelingMetal toxicitySoil contamination

Identifiers

PMID41254096
PMCPMC12627647

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.