Evidence map›Paper›PMID 38778064›Full record

ArticleScientific reports2024

Transformation of heavy metals from contaminated water to soil, fodder and animals.

Hina Kanwal, Ali Raza, Muhammad Saqlain Zaheer, Muhammad Nadeem, Hafiz Haider Ali, Salim Manoharadas, Muhammad Rizwan, Muhammad Saleem Kashif, Uzair Ahmad, Kamran Ikram and 2 more

Abstract read
PubMed Full text at PMC Publisher
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Hina KanwalDepartment of Zoology, University of Sialkot, Punjab, Pakistan.
Ali RazaDepartment of Agronomy, University of Sargodha, Punjab, Pakistan.
Muhammad Saqlain ZaheerDepartment of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan. msaqlainzaheer@gmail.com.
Muhammad NadeemInstitute of Food Science and Nutrition, University of Sargodha, Punjab, Pakistan.
Hafiz Haider AliDepartment of Agriculture, Government College University Lahore, Lahore, Punjab, Pakistan.
Salim ManoharadasDepartment of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia. smanoharadas@ksu.edu.sa.
Muhammad RizwanDepartment of Plant Nutrition, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany. m.rizwan@uni-bonn.de.
Muhammad Saleem KashifDepartment of Agriculture, Government College University Lahore, Lahore, Punjab, Pakistan.
Uzair AhmadSoil Testing Laboratory, Division of Agriculture, University of Arkansas, Fayetteville, USA.
Kamran IkramDepartment of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Muhammad Waheed RiazState Key Laboratory of Wheat Breeding, Group of Wheat Quality and Molecular Breeding, College of Agronomy, Shandong Agricultural University, Tai'an, 271000, Shandong, China.
Fatima RasoolDepartment of Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A serious environmental problem that threatens soil quality, agricultural productivity, and food safety is heavy metal pollution in water sources. Heavy metal pollution is the main problem in tehsil Pasrur, Sialkot, Pakistan. Present study was arranged to notice the heavy metals in water, soil, forages and buffalo milk. There are seven sites that were used for this experiment. Highest malondialdehyde (MDA) contents (3.00 ± 0.01) were noticed in barseem roots at site 7. Ascorbate Peroxidase (APX) was reached at its peak (1.93 ± 0.01) at site 7 in the fresh barseem. Maximum protein contents (0.36 ± 0.01) were observed in fresh plant samples at site 2. Site 3's buffalo milk samples had the highest Ni content (7.22 ± 0.33 ppm), while Site 3's soil samples had the lowest Cr content (8.89 ± 0.56 ppm), Site 1's plant shoots had the lowest Cr content (27.75 ± 1.98 ppm), and Site 3's water had the highest Cr content (40.07 ± 0.49 ppm). The maximum fat content (5.38 ± 2.32%) was found in the milk of the animals at site 7. The highest density (31.88 ± 6.501%), protein content (3.64 ± 0.33%), lactose content (5.54 ± 0.320%), salt content (0.66 ± 0.1673%), and freezing point (- 0.5814 ± 0.1827 °C) were also observed in the milk from animals at site 7, whereas site 5 displayed the highest water content (0.66 ± 0.1673%) and peak pH value (11.64 ± 0.09). In selected samples, the pollution load index for Ni (which ranged from 0.01 to 1.03 mg/kg) was greater than 1. Site 7 has the highest conductivity value (5.48 ± 0.48). Values for the health risk index varied from 0.000151 to 1.00010 mg/kg, suggesting that eating tainted animal feed may pose health concerns. Significant health concerns arise from metal deposition in the food chain from soil to feed, with nickel having the highest health risk index.

Indexed as

Metals, HeavyMilkSoilSoil PollutantsAnimal FeedAnimalsBuffaloesEnvironmental MonitoringMalondialdehydePakistanWater Pollutants, ChemicalMalondialdehydeMetals, HeavySoilSoil PollutantsWater Pollutants, ChemicalAnimal fodderHeavy metalsMilk contaminationPollutionWaste water irrigation

Identifiers

PMID38778064
PMCPMC11111443

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.