Evidence map›Paper›PMID 23690801›Full record

ArticleJournal of environmental and public health2013

A qualitative survey of five antibiotics in a water treatment plant in central plateau of Iran.

Mohsen Heidari, Maryam Kazemipour, Bijan Bina, Afshin Ebrahimi, Mehdi Ansari, Mohammad Ghasemian, Mohammad Mehdi Amin

Open access · hybridAbstract read
In one paragraph

Article in Journal of environmental and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 21 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

7 authors at 3 institutions in 1 country.

Mohsen HeidariEnvironment Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam Kazemipour
Bijan Bina
Afshin Ebrahimi
Mehdi Ansari
Mohammad Ghasemian
Mohammad Mehdi Amin
Isfahan University of Medical Sciences · IRIslamic Azad University Kerman · IRKerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to survey a total of five common human and veterinary antibiotics based on SPE-LC-MS-MS technology in a water treatment plant at central plateau of Iran. Also two sampling techniques, passive and grab samplings, were compared in the detection of selected antibiotics. MATERIALS AND

methodsIn January to March 2012, grab and passive samples were taken from the influent and effluent of a water treatment plant. The samples were prepared using solid-phase extraction (SPE), and extracts were analyzed by liquid chromatography tandem mass spectrometry (LC-MS-MS).

resultsThe results showed that enrofloxacin, oxytetracycline, and tylosin were not detected in none of the samples. However, ampicillin was detected in the grab and passive samples taken from the influent (source water) of the plant, and ciprofloxacin was detected in passive samples taken from the influent and effluent (finished water) of the plant.

conclusionThe results imply that passive sampling is a better approach than grab sampling for the investigation of antibiotics in aquatic environments. The presence of ampicillin and ciprofloxacin in source water and finished water of the water treatment plant may lead to potential emergence of resistant bacteria that should be considered in future studies.

Indexed as

Environmental ExposureWater PurificationAnti-Bacterial AgentsChromatography, LiquidEnvironmental MonitoringHumansIranSolid Phase ExtractionTandem Mass SpectrometryWater Pollutants, ChemicalAnti-Bacterial AgentsWater Pollutants, Chemical

Identifiers

PMID23690801
PMCPMC3649666
OpenAlexW2015393514

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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.