Evidence map›Paper›PMID 29283412›Full record

ArticleSensors (Basel, Switzerland)2017

Design and Implementation of a Coastal-Mounted Sensor for Oil Film Detection on Seawater.

Yongchao Hou, Ying Li, Bingxin Liu, Yu Liu, Tong Wang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. 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
0.8field-weighted citation impact, top 28% 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.

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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

5 authors at 1 institution in 1 country.

Yongchao HouNavigation College, Dalian Maritime University, Dalian 116026, China. houyongchao@dlmu.edu.cn.
Ying LiNavigation College, Dalian Maritime University, Dalian 116026, China. yldmu@dlmu.edu.cn.
Bingxin LiuNavigation College, Dalian Maritime University, Dalian 116026, China. gisbingxin@dlmu.edu.cn.
Yu LiuEnvironmental Information Institute, Dalian Maritime University, Dalian 116026, China. liuyudmu@dlmu.edu.cn.
Tong WangNavigation College, Dalian Maritime University, Dalian 116026, China. dlmuwtxxglyxxxt@163.com.
Dalian Maritime University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The routine surveillance of oil spills in major ports is important. However, existing techniques and sensors are unable to trace oil and micron-thin oil films on the surface of seawater. Therefore, we designed and studied a coastal-mounted sensor, using ultraviolet-induced fluorescence and fluorescence-filter systems (FFSs), to monitor oil spills and overcome the disadvantages of traditional surveillance systems. Using seawater from the port of Lingshui (Yellow Sea, China) and six oil samples of different types, we found that diesel oil's relative fluorescence intensity (RFI) was significantly higher than those of heavy fuel and crude oils in the 180-300 nm range-in the 300-400 nm range, the RFI value of diesel is far lower. The heavy fuel and crude oils exhibited an opposite trend in their fluorescence spectra. A photomultiplier tube, employed as the fluorescence detection unit, efficiently monitored different oils on seawater in field experiments. On-site tests indicated that this sensor system could be used as a coastal-mounted early-warning detection system for oil spills.

Indexed as

monitoring systemoil spillsrelative fluorescence intensityultraviolet fluorescence spectroscopy

Identifiers

PMID29283412
PMCPMC5796455
OpenAlexW2779527065

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.