<abstract xmlns="http://www.w3.org/1999/xhtml"> The study aimed at assessing the levels of polychlorinated biphenyls (PCBs) concentration in Orogodo River Sediments at Agbor, Delta State, Nigeria. Sixteen sediment samples at different sample point were collected and analyzed; obtained concentrations were compared with exiting standards. Sediment samples were extracted using a mixture of hexane and acetone (1:1), sonicated in an ultrasonic bath (15 min) and placed on a shaker for two hours. Chromatographic analysis was done after solvent exchange, was carried out on the final extract using n-hexane (1000 μl) and injected (1 μl) into a gas chromatographic system coupled with an electron capture detector (ECD). Results from this study revealed that the concentration of PCBs in all the sediment samples under investigation was highest with 0.198 μg/kg in the Agric yard Agbor 2 sample point and lowest with 0.026 μg/kg in the Behind Prison - Agbor 1. The concentration of PCBs for all the sediment samples analyzed ranged in the order: Agric Yard Agbor 2 &lt; Slaugther Agbor 2 &lt; River Ama 1 &lt; Mr. Biggs Agbor 1 &lt; Behind Prison Agbor 2 &lt; River Ama 2 &lt; Mr. Biggs Agbor 3 &lt; Under Bridge Agbor 1 &lt; Mr. Biggs Agbor 2 &lt; River Ama 4 &lt; Agric Yard Agbor 1 &lt; Mr. Biggs Agbor 4 &lt; SlaugtherAgbor 1 &lt; River Ama 3 &lt; Under Bridge Agbor 2 &lt; Behind Prison Agbor 1. The obtained results in this study suggest the urgent need to establish a program for monitoring organochlorine pollutants in our rivers and sediment in other to curb any elevation in concentration of pollutants over the environmental quality standards and appropriate actions taken. </abstract>

Assessment of the levels of polychlorinated biphenyls (PCBs) in Orogodo River sediments Agbor, Delta State, Nigeria

<abstract xmlns="http://www.w3.org/1999/xhtml"> Statistical analysis starts with the assessment of the distribution of experimental data. Different statistics are used to test the null hypothesis (H0) stated as Data follow a certain/specified distribution. In this paper, a new test based on Shannon’s entropy (called Shannon’s entropy statistic, H1) is introduced as goodness-of-fit test. The performance of the Shannon’s entropy statistic was tested on simulated and/or experimental data with uniform and respectively four continuous distributions (as error function, generalized extreme value, lognormal, and normal). The experimental data used in the assessment were properties or activities of active chemical compounds. Five known goodness-of-fit tests namely Anderson-Darling, Kolmogorov-Smirnov, Cramér-von Mises, Kuiper V, and Watson U2 were used to accompany and assess the performances of H1. </abstract>

Performances of Shannon’s Entropy Statistic in Assessment of Distribution of Data

<abstract xmlns="http://www.w3.org/1999/xhtml">The aquatic chemistry of iron is an important issue since iron is a micronutrient for the growth of phytoplankton. Its concentration in surface waters involves many environmental aspects, from the quality of a particular water to the control of atmospheric carbon dioxide. Dissolved iron can exist in water as ferrous and ferric iron, and the equilibrium between these two forms, as well as the precipitation and solubilization of iron, depends on many natural and anthropic factors. We studied the variation for an year of Fe(II) and total iron concentration into Poarta Alba - Midia Navodari Canal, an artificial surface water which connects Danube River with Black Sea. The results indicate a high iron concentration in surface water and a seasonal variation of iron concentration and speciation, which can be correlated with the oxidable matter content. </abstract>

Seasonal variation and speciation of dissolved iron in an artificial surface water body

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Ovidius University Annals of Chemistry

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Ovidius University Annals of Chemistry

Volume 28 (2017): Issue 2 (September 2017)

Assessment of the levels of polychlorinated biphenyls (PCBs) in Orogodo River sediments Agbor, Delta State, Nigeria

Performances of Shannon’s Entropy Statistic in Assessment of Distribution of Data

Seasonal variation and speciation of dissolved iron in an artificial surface water body

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