Institution
Ladoke Akintola University of Technology
Education•Ogbomoso, Nigeria•
About: Ladoke Akintola University of Technology is a education organization based out in Ogbomoso, Nigeria. It is known for research contribution in the topics: Population & Adsorption. The organization has 2786 authors who have published 3066 publications receiving 36850 citations. The organization is also known as: Oyo State University of Technology & LAUTECH.
Topics: Population, Adsorption, Freundlich equation, Langmuir, Activated carbon
Papers published on a yearly basis
Papers
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08 Aug 2009TL;DR: Examination of Nigeria’s healthcare system, and the ongoing reforms in the health sector concludes with key considerations for sustainable reforms in Nigeria.
Abstract: The Nigeria's poor health status has attracted global concern. The Health system has no doubt contributed to this, though Nigeria's healthcare system is geared towards ensuring availability and accessibility of healthcare by Nigerians yet the nation healthcare remains a major concern. Reform in the healthcare entails purposeful changes and planning in the system. It has however become increasingly clear that the reform in the country is to contribute meaningfully to the nation's healthcare system and to be felt by the majority of the population. This paper therefore, examines Nigerian healthcare system, and the ongoing reforms in the health sector. Information will be sourced from the primary and secondary data, the paper then concludes with key considerations for sustainable reforms in Nigeria.
40 citations
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TL;DR: Fitting of the steady state data from continuous cultivation to various inhibition models resulted in the best fit for Haldane, Yano and Koga, Aiba and Teissier kinetic inhibition models, and the biokinetic constants evaluated using these models showed good tolerance and growth of the indigenous organism.
Abstract: The present study investigated the phenol utilization kinetics of a pure culture of an indigenous Pseudomonas fluorescence under steady state and non-steady state (washout) conditions. Steady states of a continuous culture with an inhibitory substrate was used to estimate kinetic parameters under substrate limitation (chemo stat operation) Pure cultures of an indigenous Pseudomonas fluorescence were grown in continuous culture on phenol as the sole source of carbon and energy at dilution rates of 0.010 - 0.20/h. Using different dilution rates, several steady states were investigated and the specific phenol consumption rates were calculated. In addition, phenol degradation was investigated by increasing the dilution rate above the critical dilution rate (washout cultivation). The results showed that the specific phenol consumption rate increased with increased dilution rate at steady state and phenol degradation by Pseudomonas fluorescence can be described by simple substrate inhibition kinetics under substrate limitation but cannot be described by simple substrate inhibition kinetics under washout cultivation. Fitting of the steady state data from continuous cultivation to various inhibition models resulted in the best fit for Haldane, Yano and Koga (2), Aiba and Teissier kinetic inhibition models. The r smax value of 0.229 mg/mg/h obtained from the inhibition model equations was comparable to the experimentally calculated r smax value of 0.246 mg/mg/h obtained under washout cultivation. Therefore, the biokinetic constants evaluated using these models showed good tolerance and growth of the indigenous organism.
39 citations
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TL;DR: In this article, the authors highlight some recent promising research results in the area of reductive and non-reductive conversion of CO2 into fuels and value-added chemicals over nanoparticles-based catalysts, and more importantly, the reaction mechanisms of CO 2 conversion over these nanocatalysts.
Abstract: The conversion of CO2 into fuels and value-added chemicals is one the most promising and sustainable route for mitigating the atmospheric build up of CO2. However, the kinetic and thermodynamic limitations of the conversion process necessitate the need for the development of an efficient catalytic system capable of operating at favorable conditions to convert CO2 into value-added chemicals/fuel with industrial appeal. Various approaches have been implemented for the development of both homogeneous and heterogeneous catalytic systems for CO2 conversion, but unfortunately, none of the current technologies for CO2 conversion meet the safety needs, mild reaction conditions, efficiency, selectivity and cost-effectiveness. Therefore nanotechnology has been the main focus of many researchers, as the technology can provide viable catalytic materials that can address all the challenges being faced with conventional catalytic systems used for CO2 conversion process. This review highlights some recent promising research results in the area of reductive and non-reductive conversion of CO2 into fuels and value-added chemicals over nanoparticles-based catalysts, and more importantly, the reaction mechanisms of CO2 conversion over these nanocatalysts. The potential opportunities and future trends of nanotechnology application in the CO2 conversion process are also discussed.
39 citations
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TL;DR: The diurnal variation of O3 and NO2 showed that NO2 was depleted by photochemically formed O3 during the day and replenished at night as O3 was destroyed, suggesting that the traffic is a major source of ultrafine particles.
39 citations
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TL;DR: In this article, five trace metals in Leptodius exarata, epipellic sediments and surface water from an intertidal ecosystem in the Niger Delta (Nigeria) were studied to evaluate their spatial distributions, degrees of contamination, and associated ecological and health risks.
39 citations
Authors
Showing all 2806 results
Name | H-index | Papers | Citations |
---|---|---|---|
Agbaje Lateef | 35 | 97 | 3105 |
Aysegul Gunduz | 32 | 235 | 3625 |
Olugbenga Solomon Bello | 30 | 92 | 3063 |
Abass A. Olajire | 25 | 59 | 3300 |
Samuel E. Agarry | 24 | 75 | 1304 |
B.I.O. Ade-Omowaye | 22 | 42 | 1734 |
Musibau A. Azeez | 22 | 52 | 1388 |
E.B. Gueguim Kana | 21 | 40 | 1108 |
Taofeek A. Yekeen | 21 | 40 | 1410 |
Tesleem B. Asafa | 20 | 57 | 1177 |
Olusola Ojurongbe | 19 | 74 | 948 |
Adeseye A Akintunde | 18 | 69 | 971 |
Olakunle J. Onaolapo | 18 | 63 | 861 |
Olugbenga E. Ayodele | 18 | 49 | 1116 |
Adejoke Y. Onaolapo | 18 | 60 | 853 |