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Green Synthesis and Characterization of Zinc Oxide Nanoparticles using Corchorus olitorius Leaf Extract Kpega, Tyosue Christopher; Habila, James Dama; Okon*, Idongesit Edem; Ekwumemgbo, Patricia Adamma
Aceh International Journal of Science and Technology Vol 12, No 3 (2023): December 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.3.34013

Abstract

Green synthesis of metal oxide nanoparticles has gained prominence in recent years, resulting from the absence of toxic chemicals, low energy requirement, and eco-friendliness. This paper reports the green synthesis of zinc oxide nanoparticles (ZnO-NPs) using plant extract as a reducing agent. The ZnO-NPs were synthesized using Corchorus olitorius leaf extract and zinc acetate dihydrate, Zn (CH3COO)2.2H2O as precursor. The synthesized ZnO-NPs were characterized by the application of UVVis spectroscopy, Transmission Electron Microscopy (TEM), X-ray diffraction (XRD), Energy Dispersive X-ray Spectroscopy (EDX) and Fourier Transform Infrared Spectroscopy (FTIR). UV-vis indicated the reduction of zinc acetate dihydrate into ZnO-NPs by the leave extract. XRD and TEM revealed that the average size of the synthesized ZnO-NPs was 22 nm. The XRD pattern showed the hexagonal wurtzite crystalline nature of the synthesized ZnO-NPs. The elemental composition obtained from EDX showed that the synthesized ZnO-NPs are primarily composed of three elements: Zn (75.20 %), O (20.48.7%), and C (4.32). Examination of stretching and bonding in the ZnO-NPs using FT-IR revealed the presence of Zn-O bonding at 430.37403.93 cm-1.
Regression Study on the Impact of Vehicular Emission Pollutants on Ozone Level: Chemical and Material Perspectives Ekwumemgbo, Patricia Adamma; Okon, Idongesit Edem
ASEAN Journal for Science and Engineering in Materials Vol 2, No 2 (2023): AJSEM: Volume 2, Issue 2, September 2023
Publisher : Bumi Publikasi Nusantara

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Abstract

This study verified the impact of vehicular emission pollutants and meteorological factors on the variability of ground-level ozone in Port Harcourt, Nigeria using multiple linear regression (MLR) analysis (p=0.05). Data were collected at traffic hot spots over twelve calendar months (December 2017 and November 2018). The explanatory variables were precursor pollutants (NO2, CO, and VOCs) and meteorological factors (temperature, relative humidity, and wind speed). Data collected were subjected to correlation analyses, and O3 concentrations showed a significant positive correlation with NO2, CO, VOCs, and traffic density (p= 0.05). O3 levels also correlated positively with temperature and negatively with wind speed and relative humidity across traffic periods. Three Models: Model 1, Model 2, and Model 3 were generated from MLR analyses for the estimation of O3 variation in the morning peak traffic period, off-peak traffic period, and evening peak traffic period respectively. Validation of performance for each Model was achieved using performance statistics including adjusted R2, mean absolute error (MAE), mean biased error (MBE), mean square error (MSE), and root mean square error (RMSE).