Cited by 136Per- and polyfluoroalkyl substances researchToxic Organic Pollutants ImpactFluorine in Organic Chemistry

Perfluorinated compounds in urban river sediments from Guangzhou and Shanghai of China

Bao, Jia, Liu, Wei, Liu, Li, Jin, Yihe, Ran, Xiaorong, Zhang, Zhixu·2010·Chemosphere

Abstract

Perfluorinated compounds (PFCs) have been determined in various matrices within China including water bodies, precipitations, biota and non-occupationally PFCs-exposed populations in recent years, yet little attention has been focused on the distributions of PFCs in urban river sediments from Chinese major metropolises such as Guangzhou and Shanghai so far. In this study, sediment samples of 0-2 cm were collected from 13 sites in the Zhujiang River across Guangzhou and nine sites in the Huangpu River across Shanghai. PFCs analysis on these sediments via high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) system was implemented targeting eight analytes involving perfluorobutane sulfonate (PFBS), perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluorododecanoic acid (PFDoA) and perfluorotetradecanoic acid (PFTA). According to the analytical results, total concentrations of PFCs ([summation operator]PFCs) in sediments from the Zhujiang River were between 0.09 and 3.6 ng/g dry weight (dw), with PFOS being the dominant PFC contaminant in the river ranged from below LOD to 3.1 ng/g dw; while [summation operator]PFCs in sediments from the Huangpu River were between 0.25 and 1.1 ng/g dw, with PFOA being the main PFC contaminant in the river determined in the levels of 0.20-0.64 ng/g dw. Additionally, an overall decreasing trend of PFCs contaminations with depth was observed in both of two 60 cm sediment cores from the Zhujiang River and the Huangpu River each.

Integrity signals

Registry

Crossref · 10.1016/j.chemosphere.2010.04.008

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 36 · Cited by 136

Authors
Bao, J., Liu, W., Liu, L., Jin, Y., Ran, X., & Zhang, Z.
Affiliations
  • Dalian University of Technology (CN)
  • China Medical University (CN)
Corresponding author
Jin, Yihe
Venue
Chemosphere
Publisher
Elsevier BV
Published
2010-06
Volume
80
Issue
2
Pages
123-130
ISSN
0045-6535 (ISSN-L)
OpenAlex
W2062608505
Cited by
136
References
36
Citations by year
2026: 1 · 2025: 5 · 2024: 4 · 2023: 8 · 2022: 17 · 2021: 7 · 2020: 2 · 2019: 9 · 2018: 3 · 2017: 11 · 2016: 10 · 2015: 11 · 2014: 17 · 2013: 11 · 2012: 7
FWCI
8.35
Type
journal article
Language
en
Open access
closed
Locations
  • Chemosphere (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China
  • Program for Changjiang Scholars and Innovative Research Team in University
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Fluorine in Organic Chemistry
Keywords
perfluorinated compounds, river sediments, urban river pollution, Zhujiang River, Huangpu River, PFOS, perfluorooctanoic acid, perfluorinated carboxylic acids, perfluorinated sulfonates, sediment core, depth distribution, Guangzhou, Shanghai
MeSH terms
Caprylates, China, Cities, Decanoic Acids, Environmental Monitoring, Fluorocarbons, Lauric Acids, Water Pollutants, Chemical, Alkanesulfonic Acids, Geologic Sediments, Rivers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review