May 6, 2024
Saeid Tahmasebi

Saeid Tahmasebi

Academic Rank: Associate professor
Address: Department of Statistics , Persian Gulf University , Iran
Degree: Ph.D in Statistics
Phone: 077-31223329
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Using empirical negative cumulative extropy and image quality assessment to determine the accumulation of elements in marine organisms
Type Article
Keywords
Macro algae, Bioaccumulation factor (BAF), Heavy metal, Persian Gulf
Journal MARINE ENVIRONMENTAL RESEARCH
DOI 10.1016/j.marenvres.2023.105882
Researchers Mehdi Bibak (First researcher) , Saeid Tahmasebi (Second researcher) , Masoud Sattari (Third researcher)

Abstract

In this study, the assessment of metals absorption capacity by macroalgae using image analysis was investigated for the first time and compared with fish bioaccumulatio . Empirical cumulative entropy (ECE), and also empirical negative cumulative extropy (ENCEX) were used as a newly introduced (information-based) indices. The regression equation was obtained between fish tissue seawater in muscle of Sphyraena putnamiae (ENCEX = 0.2001 BAF; R2= 96.42); In the case of muscle of Liza subviridis, the regression model was as ENCEX = 0.1950 BAF; R2= 93.79. The regression equation was obtained between algae-sediment (ENCEXH. hamulosa = 0.2695 BAF; R2; 97.58). The studied indices showed a high accumulation of Hypnea hamulosa compared to the other algae (ECE = 0.2601; ENCEX = 0.3995). IQA method showed the same result exhibiting that the algae can be evaluated as a bio-indicator of element accumulation using image analysis. Image analysis can help us find macro algae with high absorption capacity without laboratory examinations.