Evidence map›Paper›PMID 33761034›Full record

ArticleEnvironmental geochemistry and health2022

Assessing the fractionation and bioavailability of heavy metals in soil-rice system and the associated health risk.

Yuanyuan Wang, Weiwei Xu, Jizhou Li, Yinxian Song, Ming Hua, Wenbo Li, Yubo Wen, Tianyuan Li, Xinxing He

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2022. 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
1.5field-weighted citation impact, top 20% 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, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Soil contamination and human health: recent contributions.Environmental geochemistry and health · 2022
    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

9 authors at 4 institutions in 1 country.

Yuanyuan WangGeological Survey of Jiangsu Province, Nanjing, 210018, China.
Weiwei XuGeological Survey of Jiangsu Province, Nanjing, 210018, China.
Jizhou LiDepartment of Geosciences, Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Yinxian SongDepartment of Geosciences, Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China. songyinxian@gmail.com.ORCID http://orcid.org/0000-0001-7524-9722
Ming HuaGeological Survey of Jiangsu Province, Nanjing, 210018, China.
Wenbo LiGeological Survey of Jiangsu Province, Nanjing, 210018, China.
Yubo WenKey Laboratory of Surficial Geochemistry, School of Earth Sciences and Engineering, Nanjing University, Ministry of Education, Nanjing, 210093, China.
Tianyuan LiEcology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China. tianyuan198712@163.com.
Xinxing HeGeological Survey of Jiangsu Province, Nanjing, 210018, China.
Jiangsu Provincial Institute of Geological Survey · CNKunming University of Science and Technology · CNNanjing University · CNQilu University of Technology · CN

Funding

Fundamental Research Funds for the Central Universities Swu118203Jiangsu Division of Natural Resources KJXM2016039National Natural Science Foundation of China 41673095, 41907141
6 · The paper itself

Abstract

This study developed a method to build relationships between chemical fractionations of heavy metals in soils and their accumulations in rice and estimate the respective contribution of each geochemical speciation in the soils from the Yangtze River Delta, China. In contaminated areas, residue and humic acid-bound fractions in soils were the main phases for most heavy metals. The mobility of heavy metals was in this following order: Cd > Pb ≈ Zn > Ni > As ≈ Cr > Hg. Transfer factors calculated by the ratios of specific fractionations of heavy metals in the soil-rice system were used to assess the capability of different metal speciation transfer from soil to rice. The carbonate and Fe/Mn oxyhydroxides bound phase had significant positive correlations with total metal concentrations in rice. Hg uptake by rice might be related to the exchangeable and carbonate-bound fractions of soil Hg. Results of PCA analysis of transfer factors estimated that the labile fractions (i.e. water soluble, exchangeable and carbonate bound) contributed more than 40% of the heavy metal accumulations in rice. Effect of organic matter and residue fraction on metals transfer was estimated to be ~ 25 to  ~ 30% while contribution of humic acid and Fe/Mn oxyhydroxides-bound fractions was estimated to be ~ 20 to  ~ 30%. Modified risk assessment code (mRAC) and ecological contamination index (ECI) confirmed that the soil samples were polluted by heavy metals. Soil Cd contributed more than 80% of mRAC. Contrarily, the main contributors to ECI were identified as As, Hg, Pb and Zn. The average values of total target hazard quotient (TTHQ) and Risk

Indexed as

Metals, HeavyOryzaSoil PollutantsBiological AvailabilityChemical FractionationChinaEnvironmental MonitoringHumansRisk AssessmentSoilMetals, HeavySoilSoil PollutantsBioavailabilityGeochemical speciationHealth risk assessmentHeavy metalsThe Yangtze River Delta

Identifiers

PMID33761034
OpenAlexW3136286570

What OpenQuestion holds

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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.