Evidence map›Paper›PMID 36671925›Full record

ReviewBiosensors2023

Progress in Plasmonic Sensors as Monitoring Tools for Aquaculture Quality Control.

Gabriela Elizabeth Quintanilla-Villanueva, Jesús Maldonado, Donato Luna-Moreno, José Manuel Rodríguez-Delgado, Juan Francisco Villarreal-Chiu, Melissa Marlene Rodríguez-Delgado

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2023. 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
4.4field-weighted citation impact, top 3% 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, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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 4 institutions in 2 countries.

Gabriela Elizabeth Quintanilla-VillanuevaUniversidad Autónoma de Nuevo León, Facultad de Ciencias Químicas, Av. Universidad S/N Ciudad Universitaria, San Nicolás de los Garza 66455, Mexico.
Jesús MaldonadoDepartment of Neurosurgery, School of Medicine, Yale University, New Haven, CT 06510, USA.ORCID 0000-0002-2085-5220
Donato Luna-MorenoCentro de Investigaciones en Óptica AC, Div. de Fotónica, Loma del Bosque 115, Col. Lomas del Campestre, León 37150, Mexico.ORCID 0000-0002-0524-1490
José Manuel Rodríguez-DelgadoTecnológico de Monterrey, School of Engineering and Sciences, Av. Eugenio Garza Sada Sur No. 2501, Col. Tecnológico, Monterrey 64849, Mexico.ORCID 0000-0002-4135-8258
Juan Francisco Villarreal-ChiuUniversidad Autónoma de Nuevo León, Facultad de Ciencias Químicas, Av. Universidad S/N Ciudad Universitaria, San Nicolás de los Garza 66455, Mexico.ORCID 0000-0002-0419-9294
Melissa Marlene Rodríguez-DelgadoUniversidad Autónoma de Nuevo León, Facultad de Ciencias Químicas, Av. Universidad S/N Ciudad Universitaria, San Nicolás de los Garza 66455, Mexico.ORCID 0000-0003-3240-3560
Universidad Autónoma de Nuevo León · MXCentro de Investigaciones en Optica · MXTecnológico de Monterrey · MXYale University · US

Funding

Core Violence and Injury Prevention Program (Core VIPP)U17CE002022 · CE · NH STATE DEPT/HLTH STATISTICS/DATA MGMT · PI SIEGEL, RHONDA · 2011 to 2011
$221k
NCIPC CDC HHS U17 CE002022
6 · The paper itself

Abstract

Aquaculture is an expanding economic sector that nourishes the world's growing population due to its nutritional significance over the years as a source of high-quality proteins. However, it has faced severe challenges due to significant cases of environmental pollution, pathogen outbreaks, and the lack of traceability that guarantees the quality assurance of its products. Such context has prompted many researchers to work on the development of novel, affordable, and reliable technologies, many based on nanophotonic sensing methodologies. These emerging technologies, such as surface plasmon resonance (SPR), localised SPR (LSPR), and fibre-optic SPR (FO-SPR) systems, overcome many of the drawbacks of conventional analytical tools in terms of portability, reagent and solvent use, and the simplicity of sample pre-treatments, which would benefit a more sustainable and profitable aquaculture. To highlight the current progress made in these technologies that would allow them to be transferred for implementation in the field, along with the lag with respect to the most cutting-edge plasmonic sensing, this review provides a variety of information on recent advances in these emerging methodologies that can be used to comprehensively monitor the various operations involving the different commercial stages of farmed aquaculture. For example, to detect environmental hazards, track fish health through biochemical indicators, and monitor disease and biosecurity of fish meat products. Furthermore, it highlights the critical issues associated with these technologies, how to integrate them into farming facilities, and the challenges and prospects of developing plasmonic-based sensors for aquaculture.

Indexed as

Biosensing TechniquesAnimalsAquacultureFiber Optic TechnologyQuality ControlSurface Plasmon Resonanceaquaculturebiosensormultiplex detectionplasmonic sensorSPR

Identifiers

PMID36671925
PMCPMC9856096
OpenAlexW4313570765

What Socratic 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 Socratic graph.