Evidence map›Paper›PMID 35988678›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2022

Development and applications of diffusive gradients in thin films for monitoring pharmaceuticals in surface waters.

Hongmei Cao, Qingwei Bu, Qingshan Li, Xiaohong Gao, Huaijun Xie, Wenwen Gong, Xiaoxiao Wang, Lei Yang, Jianfeng Tang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2022. 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
1.2field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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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

9 authors at 5 institutions in 1 country.

Hongmei CaoSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, PR China.
Qingwei BuSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, PR China. Electronic address: qingwei.bu@cumtb.edu.cn.
Qingshan LiSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, PR China.
Xiaohong GaoSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, PR China.
Huaijun XieKey Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental Science and Technology, Dalian University of Technology, Linggong Road 2, Dalian, 116024, China.
Wenwen GongInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Xiaoxiao WangSchool of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing, 100083, PR China.
Lei YangState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing, 100085, China.
Jianfeng TangKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
China University of Mining and Technology · CNBeijing Academy of Agricultural and Forestry Sciences · CNChinese Academy of Sciences · CNDalian University of Technology · CNInstitute of Urban Environment · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical contaminants in surface water have raised significant concerns because of their potential ecological risks. In particular, coronavirus disease 2019 (COVID-19)-related pharmaceuticals can be released to surface water and reduce environmental water quality. Therefore, reliable and robust sampling tools are required for monitoring pharmaceuticals. In this study, passive sampling devices of diffusive gradients in thin films (DGTs) were developed for sampling 35 pharmaceuticals in surface waters. The results demonstrated that hydrophilic-lipophilic balance (HLB) was more suitable for DGT-based devices compared with XAD18 and XDA1 resins. For most pharmaceuticals, the performance of the HLB-DGT devices were independent of pH (5.0-9.0), ionic strength (0.001-0.5 M), and flow velocity (0-400 rpm). The HLB-DGT devices exhibited linear pharmaceutical accumulation for 7 days, and time-weighted average concentrations provided by the HLB-DGT were comparable to those measured by conventional grab sampling. Compared to previous studies, we extended DGT monitoring to include three antiviral drugs used for COVID-19 treatment, which may inspire further exploration on identifying the effects of COVID-19 on ecological and human health.

Indexed as

COVID-19 Drug TreatmentWater Pollutants, ChemicalDiffusionEnvironmental MonitoringHumansPharmaceutical PreparationsPharmaceutical PreparationsWater Pollutants, ChemicalAntibioticAntiviral drugsCOVID-19Diffusive gradients in thin films (DGT)Pharmaceuticals

Identifiers

PMID35988678
PMCPMC9386599
OpenAlexW4292209656

What OpenQuestion holds

Textmetadata
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.