Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/120270
Author(s): Amorim J.
Fernandes M.
Vasconcelos V.
Oliva Teles L.
Title: Evaluation of the sensitivity spectrum of a video tracking system with zebrafish (Danio rerio) exposed to five different toxicants
Publisher: Springer Verlag (Germany)
Issue Date: 2017
Abstract: The aim of this study was to develop a biological early warning system for the detection of aquatic toxicity and test it with five toxicants with distinct chemical nature. This was done in order to verify the spectrum of sensitivities of the proposed system, as well as the potential identification capability of the tested contaminants, using only the analysis of zebrafish’s behavior. Six experimental conditions were tested: negative control and five toxicants (bleach, lindane, tributyltin, mercury, and formaldehyde). The exposure time was 45 min, and the concentrations used corresponded to 9% of LC50’s-96 h for the tested compounds, to ensure ecologically relevant results. A total of 108 fish were used, with each individual experimental condition being tested 18 times. A statistical model of diagnosis was used, combining self-organizing map and correspondence analysis. The values of sensitivity, specificity, accuracy, false positive, false negative, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The objectives of the work were accomplished and the system showed a good overall diagnostic performance with 79% in accuracy, 77% in sensitivity, and 88% in specificity. The lowest result of the predictive values was 78% (lindane and mercury), in the case of the NPV, and 86% (bleach and lindane), in the case of the PPV. The best result of the predictive values was 100% (bleach and tributyltin), for the NPV, and 89% (tributyltin), for the PPV. Regarding the five tested toxicants, the system was able to correctly identify the agent responsible for the contamination in 40% of the positive diagnoses. © 2017, Springer-Verlag Berlin Heidelberg.
Subject: artificial neural network
concentration (composition)
cyprinid
early warning system
mapping method
pollutant
toxicity
toxicology
tracking
Danio rerio
Nucleopolyhedrovirus
algorithm
animal
LD50
sensitivity and specificity
statistical model
toxicity
videorecording
water pollutant
zebra fish
Algorithms
Animals
Lethal Dose 50
Models, Statistical
Sensitivity and Specificity
Video Recording
Water Pollutants, Chemical
Zebrafish
URI: https://hdl.handle.net/10216/120270
Source: Environmental Science and Pollution Research, vol. 24(19), p. 16086-16096
Related Information: info:eu-repo/grantAgreement/FCT/5876/147268/PT
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:CIIMAR - Artigo em Revista Científica Internacional

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