Evidence map›Paper›PMID 37624156›Full record

ArticleToxics2023

Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems.

Yu Cao, Ruimin Wang, Yanyan Liu, Yongjie Li, Lifen Jia, Qingxiang Yang, Xiangpeng Zeng, Xinlei Li, Qiang Wang, Ruifei Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Yu CaoCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Ruimin WangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Yanyan LiuCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Yongjie LiCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Lifen JiaCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Qingxiang YangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Xiangpeng ZengCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Xinlei LiCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Qiang WangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Ruifei WangCollege of Life Sciences, Henan Normal University, Xinxiang 453007, China.
Luqman RiazDepartment of Environmental Sciences, Kohsar University Murree, Murree 47150, Punjab, Pakistan.
Henan Normal University · CNKohsar University Murree

Funding

Educational Commission of the Henan Province of China 22B180006Key Project of Natural Science of the Education Department of Henan Province of China 21A180014Key Project of the National Natural Science Foundation of China-Henan Joint Fund U1904205National Natural Science Foundation of China NSFC 42277409Science and Technology Project of Henan Province 212102110322
6 · The paper itself

Abstract

Several methods have been used to assess heavy metal contamination in sediments. However, an assessment that considers both composite heavy metal speciation and concentration is necessary to accurately study ecological risks. This study improved the potential ecological risk index method and calculated the toxicity coefficients of seven heavy metals: Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn). The newly calculated toxicity coefficients were validated by using previously published heavy metal distribution data of the Henan section of the Yellow River. The calculation procedure is based on the principle that the abundance of heavy metals in the environment and their bioavailable forms affect the toxicity of heavy metals. The toxicity coefficients for the seven heavy metals were calculated as follows: As = 10, Cd = 20, Cr = 5, Cu = 2, Ni = 5, Pb = 5, Zn = 1. Ecological risk assessment of the Henan section of the Yellow River using the improved toxicity coefficients revealed that the ecological risk of Cd and total heavy metals is higher than previous calculations, reaching the strength and moderate risk levels, respectively. The improved potential ecological risk index method is more sensitive to heavy metal pollution and thus provides a better indication of ecological risk. This is a necessary improvement to provide more accurate pollution assessments.

Indexed as

heavy metal pollutionpotential ecological risk assessmentrelease effecttoxicity coefficient

Identifiers

PMID37624156
PMCPMC10459401
OpenAlexW4385363826

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.