<?xml version="1.0" encoding="UTF-8"?>
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<title>Department of Physics</title>
<link href="http://hdl.handle.net/123456789/953" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/953</id>
<updated>2026-04-14T23:28:05Z</updated>
<dc:date>2026-04-14T23:28:05Z</dc:date>
<entry>
<title>Drug Delivery by Zeolite Nanomaterials in Treatment of Breast Cancer: In Vitro</title>
<link href="http://hdl.handle.net/123456789/12221" rel="alternate"/>
<author>
<name>Nyarko, Savanna</name>
</author>
<id>http://hdl.handle.net/123456789/12221</id>
<updated>2025-06-09T11:58:43Z</updated>
<published>2024-01-01T00:00:00Z</published>
<summary type="text">Drug Delivery by Zeolite Nanomaterials in Treatment of Breast Cancer: In Vitro
Nyarko, Savanna
In this work, synthetic Linde type A (LTA) zeolites were examined to find out how well they could encapsulate and release doxorubicin cancer drug. Synthetic zeolites were used for this study because of their uniform pore distribution and crystal purity. The samples were characterized using X-ray diffraction spectroscopy (XRD) and Fourier Transform Infrared Spectroscopy (FTIR). The XRD data on the control LTA zeolite showed average crystallite size of 40.89 nm, 28.40 nm and 29.76 nm at 60℃, 80 ℃ and 105 ℃ respectively. The percentage crystallinity also revealed values of 65.99, 71.39 and 76.37 at 60℃, 80 ℃ and 105 ℃ respectively. The XRD diffraction pattern on drug loaded LTA zeolite showed average crystallite size of 24.89 nm, 16.44 nm and 26.91 nm at 60℃, 80 ℃ and 105 ℃ respectively. The percentage crystallinity of the loaded drug on LTA zeolite also revealed values of 70.79, 83.78 and 68.82 at 60℃, 80 ℃ and 105 ℃ respectively. The FTIR data also showed the signature peaks characteristics of LTA zeolites at all the three temperatures (60℃, 80 ℃ and 105 ℃). The morphology of the control and loaded LTA zeolites were determined by Helium Ion Microscope (HIM) and Scanning Electron Microscope (SEM). Brunauer-Emmett- Teller (BET) surface area, pore size and pore volume were also determined. The drug release data from 60 ℃ had a correlation (R2) values of 0.9139, 0.8764 and 0.7844 with the first-order, Hixson-Crowell and zero-order models respectively. Drug release data for 80 ℃ and 105 ℃ also had a (R2) values of 0.7345 and 0.5160 respectively for the Korsmeyer-Peppas model. The Alamar blue assay cell viability results showed that 105 ℃ was cytotoxic to the cells with an IC50 of 92 μg/ml.
xiii, 100p:, ill.
</summary>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Performance Assessment of a Solar Module Under Different Weather Conditions Through Simulation and Experimental Validation; A Case Study of a 2.5 Mw Solar Power Plant at Navrongo, Ghana</title>
<link href="http://hdl.handle.net/123456789/12115" rel="alternate"/>
<author>
<name>Nyaaba, Rudolf Anyoka</name>
</author>
<id>http://hdl.handle.net/123456789/12115</id>
<updated>2025-06-03T10:59:27Z</updated>
<published>2024-02-01T00:00:00Z</published>
<summary type="text">Performance Assessment of a Solar Module Under Different Weather Conditions Through Simulation and Experimental Validation; A Case Study of a 2.5 Mw Solar Power Plant at Navrongo, Ghana
Nyaaba, Rudolf Anyoka
The global agenda of increasing the amount of renewable energy used in many nations and organizations is to harness solar energy from solar photovoltaic (PV) cells or systems. However, the generation of power through PV systems is highly affected by the weather conditions. This study is to assess the performance of a JKM 295P-72 solar module in terms of its maximum power output and power output performance efficiency under different weather conditions. Two JKM295P-72 polycrystalline solar modules were used for the outdoor experimental setup for each weather condition - one as the control and the other as the experimental module. The electrical characteristic curves were generated through MATLAB, R2018a simulation of equivalent circuit model equation of the PV module. The results indicate that the solar module is best performed during its clean (control) state with a performance efficiency of 17.4 % and a maximum power output of 282. 8 W; followed by the harmattan module with a performance efficiency of 16.12 % and power output of 259.1 W. This was followed by the dry-windy and then by the rainy weather conditions. The reductions in power output and the reduction in module efficiency under each of the weather conditions were determined. Reasons accounting for the differences in performance under the different weather conditions have been presented. Finally, the relationship between power output, efficiency and solar irradiance has also been highlighted. The performance results for the two consecutive years during which the study was conducted were highly correlated. This study will enable managers of the solar power plant to make informed decisions on the expected output power generated under different weather conditions.
xiv, 222p:, ill.
</summary>
<dc:date>2024-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Optical Spectroscopic Analysis of Honey from Agro-Ecological Zones of Ghana</title>
<link href="http://hdl.handle.net/123456789/12096" rel="alternate"/>
<author>
<name>Huzortey, Andrew Atiogbe</name>
</author>
<id>http://hdl.handle.net/123456789/12096</id>
<updated>2025-06-02T14:14:54Z</updated>
<published>2024-11-01T00:00:00Z</published>
<summary type="text">Optical Spectroscopic Analysis of Honey from Agro-Ecological Zones of Ghana
Huzortey, Andrew Atiogbe
This study investigated the optical spectroscopic properties of honey produced in Ghana's agro-ecological zones using Raman, Laser-Induced Fluorescence (LIF), and UV-Vis Transmission spectroscopic techniques. Various Multivariate Data Analysis (MDA) methods were applied to the spectroscopic data. UV-Vis Transmission and LIF spectroscopy identified phytochemical compounds, while Raman spectroscopy identified the sugar composition in the honey. The optical measurements revealed that honey types originating from the different agro-ecological zones did not necessarily possess the same spectral properties. The multivariate analysis revealed distinct groupings among the honey samples, where each group shared common constituents and exhibited unique qualities. These groupings were not determined by the agro-ecological zones, but rather by the spectral similarity relating to the specific properties and composition of the honey samples. Further, correlations were established between the LIF spectral parameters and physicochemical properties, including colour and 5-hydroxymethylfurfural (HMF) content, allowing for the prediction of honey freshness with high accuracy. The research also found specific excitation sources and sample pretreatment that effectively controlled fluorescence interference in the Raman spectral measurement of honey. Overall, the various analysis employed in this study has contributed to a better understanding of the optical spectroscopic properties of honey from the agro-ecological zones and their help for determining its phytochemical constituents and sugar composition. The study also offers potential applications for authentication, freshness prediction, and quality control that can be implemented for the honey industry in Ghana.
xxv 154p:, ill
</summary>
<dc:date>2024-11-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Seismological, Meteorological And Geochemical Investigation For Earthquake Hazard In The Greater Accra Metropolitan Area</title>
<link href="http://hdl.handle.net/123456789/11935" rel="alternate"/>
<author>
<name>Doku, Maximillian-Robert Selorm</name>
</author>
<id>http://hdl.handle.net/123456789/11935</id>
<updated>2025-02-07T13:53:58Z</updated>
<published>2022-02-01T00:00:00Z</published>
<summary type="text">Seismological, Meteorological And Geochemical Investigation For Earthquake Hazard In The Greater Accra Metropolitan Area
Doku, Maximillian-Robert Selorm
Seismological, Meteorological and Geochemical investigations for earthquake&#13;
hazard were carried out in the Greater Accra Metropolitan Area (GAMA). An&#13;
eaJ1hquake catalogue generated was used to calculate the b-value (seism ic&#13;
stress) by the Linear Least Square (LLS) method and the Maximum&#13;
Likelihood Estimation (MLE) method. The Geographic Information System&#13;
(GIS) was used to generate epicentral intensity and isoseismal maps from the&#13;
catalogue. The meteorological investigation involved the use of precipitation&#13;
data from the coastal belt of the synoptic stations of the Ghana Meteorological&#13;
Agency (plotted with the seismic data to identify possible correlation). The&#13;
isotopic anomaly analysis to investigate the geochemical effect was done by&#13;
evaluating radon concentrations in soil gas and water using the Solid State&#13;
Nuclear Track Detector (SSNTD) and the Electret Passive Environmental&#13;
Radon Monitor (EPERM~. Detectors were buried at Tema, Ashaiman, Weija,&#13;
Donkunah and K wabenya over a one-year period (January 2018 to December&#13;
2018). An average b-value of 0.63 was evaluated by the LLS Method and 0.88&#13;
for the MLE Method. The epicentral intensity, frequency and isoseismal maps&#13;
show a detailed distribution of earth tremors of magnitudes less than 5 Mw.&#13;
The meteorological investigation shows a not very strong Pearson's&#13;
correlation coefficient of precipitation with seismicity (r=0.4 and pvalue=&#13;
0.04). Geochemical investigations also show a very weak positive&#13;
Pearson's Correlation Coefficient of radon emanation and seismicity (r=0.1&#13;
and p-value=0.69).
xv, 289p; , ill.
</summary>
<dc:date>2022-02-01T00:00:00Z</dc:date>
</entry>
</feed>
