Evidence map›Paper›PMID 30023955›Full record

ArticleACS omega2018

Novel Microfluidic Analytical Sensing Platform for the Simultaneous Detection of Three Algal Toxins in Water.

Ivan Maguire, Jenny Fitzgerald, Brendan Heery, Charles Nwankire, Richard O'Kennedy, Jens Ducrée, Fiona Regan

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 32 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Ivan MaguireSchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Jenny FitzgeraldSchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Brendan HeerySchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Charles NwankireSchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Richard O'KennedySchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Jens DucréeSchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Fiona ReganSchool of Chemical Sciences, DCU Water Institute, School of Biotechnology, School of Physical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland.
Dublin City University · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, the need for "on-site" algal-toxin monitoring has become increasingly urgent due to the amplified demand for fresh-water and for safe, "toxin-free" shellfish and fish stocks. Herein, we describe the first reported, Lab-On-A-Disc (LOAD) based-platform developed to detect microcystin levels in situ, with initial detectability of saxitoxin and domoic acid also reported. Using recombinant antibody technology, the LOAD platform combines immunofluorescence with centrifugally driven microfluidic liquid handling to achieve a next-generation disposable device capable of multianalyte sampling. A low-complexity "LED-photodiode" based optical sensing system was tailor-made for the platform, which allows the fluorescence signal of the toxin-specific reaction to be quantified. This system can rapidly and accurately detect the presence of microcystin-LR, domoic acid, and saxitoxin in 30 min, with a minimum of less than 5 min end-user interaction for maximum reproducibility. This method provides a robust "point of need" diagnostic alternative to the current laborious and costly methods used for qualitative toxin monitoring.

Identifiers

PMID30023955
PMCPMC6045346
OpenAlexW2808967203

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.