Evidence map›Paper›PMID 31104241›Full record

ReviewEnvironmental science and pollution research international2019

Review on the determination and distribution patterns of a widespread contaminant artificial sweetener in the environment.

Jingyang Luo, Lijuan Wu, Qin Zhang, Yang Wu, Fang Fang, Qian Feng, Chao Li, Zhaoxia Xue, Jiashun Cao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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.

Jingyang LuoKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China. luojy2016@hhu.edu.cn.ORCID http://orcid.org/0000-0002-9660-9691
Lijuan WuJiangsu Provincial Academy of Environmental Science, Nanjing, 210098, China.
Qin ZhangKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China. zq198601@126.com.
Yang WuKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China.
Fang FangKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China.
Qian FengKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China.
Chao LiKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China.
Zhaoxia XueKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China.
Jiashun CaoKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, 210098, China.

Funding

Fundamental Research Funds for the Central Universities No: 2019B14314National Natural Science Foundation of China No.51708171Postdoctoral Research Foundation of China No.2018M630508State Key Laboratory of Pollution Control and Resource Reuse Foundation, China No. PCRRF17019
6 · The paper itself

Abstract

The accurate determination of widespread artificial sweeteners (ASs) and the information of their distributions in environments are of significance to investigate the environmental behaviors. This paper firstly reviews the typical analytic methodologies for ASs and the main influencing factors during the analytic processes. Solid-phase extraction (SPE) with LC-ESI-MS is currently the leading-edge method. However, the efficiency and accuracy for ASs analysis in environmental samples are also dependent on the SPE cartridges, buffers and pH, matrix effects, and sample stability. A basic procedure for ASs determination in different environmental samples is proposed. The current occurrences of ASs in environments are then evaluated. The ASs, especially the acesulfame and sucralose, are widely detected in various environmental medium. The concentrations of investigated ASs are generally in the order of wastewater treatment plants (WWTPs) influent > WWTPs effluent > surface water > groundwater > drinking water; and atmosphere > soil. The ASs levels in the environment exhibit significant differences among different regions. Further analysis indicates that the phenomenon is highly correlated with the consumption patterns and the removal efficiency of WWTPs in a specific country.

Indexed as

AtmosphereGroundwaterSoilSolid Phase ExtractionSweetening AgentsTandem Mass SpectrometryWastewaterWater Pollutants, ChemicalWater PurificationSoilSweetening AgentsWastewaterWater Pollutants, ChemicalArtificial sweeteners (ASs)ConcentrationsConsumption patternsLC-ESI-MSRemoval efficiencySolid-phase extraction (SPE)

Identifiers

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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.