Evidence map›Paper›PMID 26516836›Full record

ArticleInternational journal of molecular sciences2015

Novel Electrokinetic Microfluidic Detector for Evaluating Effectiveness of Microalgae Disinfection in Ship Ballast Water.

Myint Myint Maw, Junsheng Wang, Fabo Li, Jinhu Jiang, Younan Song, Xinxiang Pan

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 17 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

6 authors at 1 institution in 1 country.

Myint Myint MawCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China. parahitamyint@dlmu.edu.cn.
Junsheng WangCollege of Information and Science Technology, Dalian Maritime University, Dalian 116026, China. wangjsh@dlmu.edu.cn.
Fabo LiCollege of Information and Science Technology, Dalian Maritime University, Dalian 116026, China. bfli001@dlmu.edu.cn.
Jinhu JiangCollege of Information and Science Technology, Dalian Maritime University, Dalian 116026, China. jiangjinhu@dlmu.edu.cn.
Younan SongCollege of Information and Science Technology, Dalian Maritime University, Dalian 116026, China. songyounan@dlmu.edu.cn.
Xinxiang PanCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China. parahitamyint@dlmu.edu.cn.
Dalian Maritime University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ship ballast water treatment methods face many technical challenges. The effectiveness of every treatment method usually is evaluated by using large scale equipment and a large volume of samples, which involves time-consuming, laborious, and complex operations. This paper reports the development of a novel, simple and fast platform of methodology in evaluating the efficiency and the best parameters for ballast water treatment systems, particularly in chemical disinfection. In this study, a microfluidic chip with six sample wells and a waste well was designed, where sample transportation was controlled by electrokinetic flow. The performance of this microfluidic platform was evaluated by detecting the disinfection of Dunaliella salina (D. salina) algae in ballast water treated by sodium hypochlorite (NaClO) solution. Light-induced chlorophyll fluorescence (LICF) intensity was used to determine the viability of microalgae cells in the system, which can be operated automatically with the dimension of the detector as small as 50 mm × 24 mm × 5 mm. The 40 µL volume of sample solution was used for each treatment condition test and the validity of detection can be accomplished within about five min. The results show that the viability of microalgae cells under different treatment conditions can be determined accurately and further optimal treatment conditions including concentrations of NaClO and treatment time can also be obtained. These results can provide accurate evaluation and optimal parameters for ballast water treatment methods.

Indexed as

Water MicrobiologyWater QualityDisinfectionHypochlorous AcidMicroalgaeMicrofluidicsShipsHypochlorous Acidballast water treatmentelectrokinetic flowfluorescence detectionmicroalgaemicrofluidic chip

Identifiers

PMID26516836
PMCPMC4632816
OpenAlexW2157287037

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.