The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed
The present study investigates the suitability of a machine vision-based method to detect deviations in the Shannon entropy (SE) of a European seabass (Dicentrarchus labrax) biological system fed with different selenium:mercury (Se:Hg) molar ratios. Four groups of fish were fed during 14 days with c...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-01-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/20/2/90 |
| _version_ | 1811302118475169792 |
|---|---|
| author | Harkaitz Eguiraun Oskar Casquero Iciar Martinez |
| author_facet | Harkaitz Eguiraun Oskar Casquero Iciar Martinez |
| author_sort | Harkaitz Eguiraun |
| collection | DOAJ |
| description | The present study investigates the suitability of a machine vision-based method to detect deviations in the Shannon entropy (SE) of a European seabass (Dicentrarchus labrax) biological system fed with different selenium:mercury (Se:Hg) molar ratios. Four groups of fish were fed during 14 days with commercial feed (control) and with the same feed spiked with 0.5, 5 and 10 mg of MeHg per kg, giving Se:Hg molar ratios of 29.5 (control-C1); 6.6, 0.8 and 0.4 (C2, C3 and C4). The basal SE of C1 and C2 (Se:Hg > 1) tended to increase during the experimental period, while that of C3 and C4 (Se:Hg < 1) tended to decrease. In addition, the differences in the SE of the four systems in response to a stochastic event minus that of the respective basal states were less pronounced in the systems fed with Se:Hg molar ratios lower than one (C3 and C4). These results indicate that the SE may be a suitable indicator for the prediction of seafood safety and fish health (i.e., the Se:Hg molar ratio and not the Hg concentration alone) prior to the displaying of pathological symptoms. We hope that this work can serve as a first step for further investigations to confirm and validate the present results prior to their potential implementation in practical settings. |
| first_indexed | 2024-04-13T07:22:19Z |
| format | Article |
| id | doaj.art-4df8a5e6cff647e7b7659506918a78e1 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-13T07:22:19Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-4df8a5e6cff647e7b7659506918a78e12022-12-22T02:56:35ZengMDPI AGEntropy1099-43002018-01-012029010.3390/e20020090e20020090The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its FeedHarkaitz Eguiraun0Oskar Casquero1Iciar Martinez2Department of Graphic Design and Engineering Projects, Faculty of Engineering in Bilbao, University of the Basque Country UPV/EHU, E-48013 Bilbao, SpainDepartment of Systems Engineering and Automatic Control, Faculty of Engineering in Bilbao, University of the Basque Country UPV/EHU, E-48013 Bilbao, SpainResearch Center for Experimental Marine Biology and Biotechnology-Plentziako Itsas Estazioa (PiE), University of the Basque Country UPV/EHU, E-48620 Plentzia, SpainThe present study investigates the suitability of a machine vision-based method to detect deviations in the Shannon entropy (SE) of a European seabass (Dicentrarchus labrax) biological system fed with different selenium:mercury (Se:Hg) molar ratios. Four groups of fish were fed during 14 days with commercial feed (control) and with the same feed spiked with 0.5, 5 and 10 mg of MeHg per kg, giving Se:Hg molar ratios of 29.5 (control-C1); 6.6, 0.8 and 0.4 (C2, C3 and C4). The basal SE of C1 and C2 (Se:Hg > 1) tended to increase during the experimental period, while that of C3 and C4 (Se:Hg < 1) tended to decrease. In addition, the differences in the SE of the four systems in response to a stochastic event minus that of the respective basal states were less pronounced in the systems fed with Se:Hg molar ratios lower than one (C3 and C4). These results indicate that the SE may be a suitable indicator for the prediction of seafood safety and fish health (i.e., the Se:Hg molar ratio and not the Hg concentration alone) prior to the displaying of pathological symptoms. We hope that this work can serve as a first step for further investigations to confirm and validate the present results prior to their potential implementation in practical settings.http://www.mdpi.com/1099-4300/20/2/90entropyseabassmercuryseleniumfish welfaremachine visioncontaminant detectionbiological warning systemssystem perturbationenvironmental monitoring |
| spellingShingle | Harkaitz Eguiraun Oskar Casquero Iciar Martinez The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed Entropy entropy seabass mercury selenium fish welfare machine vision contaminant detection biological warning systems system perturbation environmental monitoring |
| title | The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed |
| title_full | The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed |
| title_fullStr | The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed |
| title_full_unstemmed | The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed |
| title_short | The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed |
| title_sort | shannon entropy trend of a fish system estimated by a machine vision approach seems to reflect the molar se hg ratio of its feed |
| topic | entropy seabass mercury selenium fish welfare machine vision contaminant detection biological warning systems system perturbation environmental monitoring |
| url | http://www.mdpi.com/1099-4300/20/2/90 |
| work_keys_str_mv | AT harkaitzeguiraun theshannonentropytrendofafishsystemestimatedbyamachinevisionapproachseemstoreflectthemolarsehgratioofitsfeed AT oskarcasquero theshannonentropytrendofafishsystemestimatedbyamachinevisionapproachseemstoreflectthemolarsehgratioofitsfeed AT iciarmartinez theshannonentropytrendofafishsystemestimatedbyamachinevisionapproachseemstoreflectthemolarsehgratioofitsfeed AT harkaitzeguiraun shannonentropytrendofafishsystemestimatedbyamachinevisionapproachseemstoreflectthemolarsehgratioofitsfeed AT oskarcasquero shannonentropytrendofafishsystemestimatedbyamachinevisionapproachseemstoreflectthemolarsehgratioofitsfeed AT iciarmartinez shannonentropytrendofafishsystemestimatedbyamachinevisionapproachseemstoreflectthemolarsehgratioofitsfeed |