Arsenic pollution in aquifers located within limestone areas of Ogun State, Nigeria

2005 ◽  
pp. 101-108
Keyword(s):  
Arsenic Pollution ◽  
Ogun State

Development of Ultrasensitive and Arsenic (III) Selective Upconverting (NaYF4: Yb3+, Er3+) Platform

2020 ◽  
Author(s):  
Suman Duhan ◽  
Kedar Sahoo ◽  
Sudhir Kumar Singh ◽  
Manoj Kumar
Keyword(s):  
Heavy Ions ◽  
Leaf Extract ◽  
Moringa Oleifera ◽  
Solid Phase ◽  
Selective Detection ◽  
Arsenic Pollution ◽  
Apparent Effect ◽  
Safe Limit ◽  
Interfering Ions ◽  
Resonance Transfer

The development of a sensitive alpha-NaYF4:Yb3+, Er3+ solid-phase upconverting platform (UCP) has been realized using Moringa oleifera leaf extract for selective detection of arsenic (As III) contamination in drinking water. The presence of polyphenols in the leaves extract is shown to induce luminescence resonance transfer (LRET), diminishing thereby the Er3+ upconverting red and green emissions activated by 980 nm excitation. However, addition of As3+ species interrupts the LRET process and restores emission proportionately. This feature allows platform to selectively detect arsenic pollution in water below the safe limit of 10 ppt. The uniqueness of UCP lies in monitoring the As3+ contamination in samples containing heavy ions (Cd2+, Hg2+) as well, without apparent effect on the signal reproducibility. UCP is also found to be insensitive to other interfering ions like Pb2+, H2PO4-, F-, Cl-, Ca2+, Mg2+, Sn2+, Cr6+, Fe2+ and Co2+, if present.<br><br>

Soil Radioactivity and Radiological Risks Exposure to Inhabitants near Coastal Region of Ado- Odo Ota, Ogun State, Nigeria

2020 ◽  
Vol 24 (04) ◽  
pp. 750-754
Author(s):  
Omeje Maxwell ◽  
Olusegun Adewoyin O ◽  
Joel Emmanuel S ◽  
Akinwumi S.A ◽  
Omeje Uchechukwu A
Keyword(s):  
Coastal Region ◽  
Soil Radioactivity ◽  
Ogun State

Adapting Gravity Model for Predicting the Risk of COVID -19 in Nigeria

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Olanrewaju Samson Olaitan ◽  
Olowoporoku Oluwaseun
Keyword(s):  
High Risk ◽  
Gross Domestic Product ◽  
Gravity Model ◽  
Infection Risk ◽  
Risk Level ◽  
Ogun State ◽  
Factors Influencing ◽  
Government Data ◽  
Housing Standards ◽  
Very High

Background: It is against the background of the emerging incidence of coronavirus pandemic in Nigeria, and the need for its management that this study adapts gravity model for predicting the risk of the disease across states of the country. Methods: The paper relied on published government data on population, and gross domestic product, while the distance of town to the nearest international airport was also obtained. These data were log transformed and further used in the calculation of gravity scores for each state of the federation. Results: The study discovered that with the gravity score ranging from 2.942 to 4.437, all the states of the federation have the risk of being infected with the pandemic. Meanwhile Ogun State (4.837) has a very high risk of being infected with the disease. Other states with high risks are Oyo (4.312), Jigawa (4.235), Niger (4.148) and Katsina (4.083). However, Taraba State has the least infection risk of the pandemic in Nigeria. Factors influencing the risk level of the pandemic are proximity, porous boundary between states, and elitism. Conclusion: The paper advocates border settlement planning, review of housing standards, and advocacy for sanitation in different states. It therefore concludes that adequate urban planning in unison with economic and epidemiology techniques will provide a strong strategy for the management of the disease.

scholarly journals Assessment of Quality of Drinking Water from Ogun State, Nigeria

2021 ◽  
Vol 665 (1) ◽  
pp. 012033
Author(s):  
Mojisola R. Usikalu ◽  
Williams Ayara ◽  
Olusegun Ayanbisi ◽  
Ayanfe Fola-Emmanuel ◽  
Chisom Okechukwu
Keyword(s):  
Drinking Water ◽  
Ogun State
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