FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3190383867> ?p ?o ?g. }

• W3190383867 endingPage "8936" @default.
• W3190383867 startingPage "8936" @default.
• W3190383867 abstract "Heavy metal pollution is still present in the Danube River basin, due to intensive naval and agricultural activities conducted in the area. Therefore, continuous monitoring of this pivotal aquatic macro-system is necessary, through the development and optimization of monitoring methodologies. The main objective of the present study was to develop a prediction model for heavy metals accumulation in biological tissues, based on field gathered data which uses bioindicators (fish) and oxidative stress (OS) biomarkers. Samples of water and fish were collected from the lower sector of Danube River (DR), Danube Delta (DD) and Black Sea (BS). The following indicators were analyzed in samples: cadmium (Cd), lead (Pb), iron (Fe), zinc (Zn), copper (Cu) (in water and fish tissues), respectively, catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx), malondialdehyde (MDA) (in fish tissues). The pollution index (PI) was calculated to identify the most polluted studied ecosystem, which revealed that Danube River is seriously affected by the presence of Fe (IP = 4887) and strongly affected by the presence of Zn (IP = 4.49). The concentration of Cd in fish muscle tissue was above the maximum permitted level (0.05 µg/g) by the EU regulation. From all analyzed OS biomarkers, MDA registered the highest median values in fish muscle (145.7 nmol/mg protein in DR, 201.03 nmol/mg protein in DD, 148.58 nmol/mg protein in BS) and fish liver (200.28 nmol/mg protein in DR, 163.67 nmol/mg protein, 158.51 nmol/mg protein), compared to CAT, SOD and GPx. The prediction of Cd, Pb, Zn, Fe and Cu in fish hepatic and muscle tissue was determined based on CAT, SOD, GPx and MDA, by using non-linear tree-based RF prediction models. The analysis emphasizes that MDA in hepatic tissue is the most important independent variable for predicting heavy metals in fish muscle and tissues at BS coast, followed by GPx in both hepatic and muscle tissues. The RF analytical framework revealed that CAT in muscle tissue, respectively, MDA and GPx in hepatic tissues are most common predictors for determining the heavy metals concentration in both muscle and hepatic tissues in DD area. For DR, the MDA in muscle, followed by MDA in hepatic tissue are the main predictors in RF analysis." @default.
• W3190383867 created "2021-08-16" @default.
• W3190383867 creator A5002400468 @default.
• W3190383867 creator A5015818047 @default.
• W3190383867 creator A5049782575 @default.
• W3190383867 creator A5050223949 @default.
• W3190383867 creator A5054445750 @default.
• W3190383867 creator A5073689723 @default.
• W3190383867 creator A5077473700 @default.
• W3190383867 creator A5083280578 @default.
• W3190383867 creator A5085009895 @default.
• W3190383867 date "2021-08-10" @default.
• W3190383867 modified "2023-10-18" @default.
• W3190383867 title "Predictive Innovative Methods for Aquatic Heavy Metals Pollution Based on Bioindicators in Support of Blue Economy in the Danube River Basin" @default.
• W3190383867 cites W1121638690 @default.
• W3190383867 cites W1554465239 @default.
• W3190383867 cites W1999809644 @default.
• W3190383867 cites W2000091593 @default.
• W3190383867 cites W2005098985 @default.
• W3190383867 cites W2013104922 @default.
• W3190383867 cites W2024342625 @default.
• W3190383867 cites W2034489756 @default.
• W3190383867 cites W2068126479 @default.
• W3190383867 cites W2068914392 @default.
• W3190383867 cites W2076133123 @default.
• W3190383867 cites W2102008994 @default.
• W3190383867 cites W2105398277 @default.
• W3190383867 cites W2116369263 @default.
• W3190383867 cites W2123733076 @default.
• W3190383867 cites W2133649842 @default.
• W3190383867 cites W2162387923 @default.
• W3190383867 cites W2231448507 @default.
• W3190383867 cites W2268833488 @default.
• W3190383867 cites W2288753074 @default.
• W3190383867 cites W2318519551 @default.
• W3190383867 cites W2339573327 @default.
• W3190383867 cites W2341592706 @default.
• W3190383867 cites W2559565847 @default.
• W3190383867 cites W2580555156 @default.
• W3190383867 cites W2727874028 @default.
• W3190383867 cites W2776737751 @default.
• W3190383867 cites W2782095363 @default.
• W3190383867 cites W2783691054 @default.
• W3190383867 cites W2789758093 @default.
• W3190383867 cites W2793350103 @default.
• W3190383867 cites W2794247982 @default.
• W3190383867 cites W2796385369 @default.
• W3190383867 cites W2802607996 @default.
• W3190383867 cites W2803670081 @default.
• W3190383867 cites W2804418880 @default.
• W3190383867 cites W2884764947 @default.
• W3190383867 cites W2900250174 @default.
• W3190383867 cites W2907264418 @default.
• W3190383867 cites W2909170199 @default.
• W3190383867 cites W2911964244 @default.
• W3190383867 cites W2936399818 @default.
• W3190383867 cites W2945707968 @default.
• W3190383867 cites W2953037715 @default.
• W3190383867 cites W2962727190 @default.
• W3190383867 cites W2962844373 @default.
• W3190383867 cites W2971599897 @default.
• W3190383867 cites W2972233353 @default.
• W3190383867 cites W2974969014 @default.
• W3190383867 cites W2989913888 @default.
• W3190383867 cites W2991634519 @default.
• W3190383867 cites W2992743847 @default.
• W3190383867 cites W2994976452 @default.
• W3190383867 cites W2998623005 @default.
• W3190383867 cites W2998851185 @default.
• W3190383867 cites W3008724545 @default.
• W3190383867 cites W3012153383 @default.
• W3190383867 cites W3012444046 @default.
• W3190383867 cites W3014494312 @default.
• W3190383867 cites W3041634827 @default.
• W3190383867 cites W3046433894 @default.
• W3190383867 cites W3049667334 @default.
• W3190383867 cites W3072440338 @default.
• W3190383867 cites W3080468691 @default.
• W3190383867 cites W3081125651 @default.
• W3190383867 cites W3083729011 @default.
• W3190383867 cites W3087018315 @default.
• W3190383867 cites W3089895570 @default.
• W3190383867 cites W3090462279 @default.
• W3190383867 cites W3091065591 @default.
• W3190383867 cites W3093101965 @default.
• W3190383867 cites W3098987711 @default.
• W3190383867 cites W3105680678 @default.
• W3190383867 cites W3108001816 @default.
• W3190383867 cites W3110977067 @default.
• W3190383867 cites W3113334052 @default.
• W3190383867 cites W3120383119 @default.
• W3190383867 cites W3130219998 @default.
• W3190383867 cites W3130495740 @default.
• W3190383867 cites W3143435332 @default.
• W3190383867 cites W3148280736 @default.
• W3190383867 cites W3159278151 @default.
• W3190383867 cites W3163937577 @default.
• W3190383867 cites W4249977334 @default.

• next