Characterization of odourous compounds in air, leachate, stream and well in and around Taju-Bello Dumpsite, Lagos, Nigeria

Azeez, L.,Oyedeji, O.A.,Abdulsalami, I.O.,Adewuyi, S.O. Techno-Press 2013 Advances in environmental research Vol.2 No.2

This study investigated the concentrations of odourous compounds in air, leachate, stream and well in and around Taju-Bello dumpsite. Meteorological parameters (temperature, relative humidity, wind velocity) and six odour families comprising sulphur ($H_2S$), ammonia ($NH_3$), aromatic (benzene, toluene, ethylbenzene, styrene, p-xylene, m-xylene), aliphatic (hexane), oxygenated (formaldehyde, acetaldehyde) and halogenated (tetrachloroethene, trichloroethene, carbontetrachloride) compounds were measured. Meteorological parameters suggested low dispersal of pollutants at L1 with possible perspiration and suffocation from exposure to high temperature, relative humidity and low wind velocity. The trend of abundance of odourous compounds at studied locations is of the order dumpsite (L1) > leachate (L4) > 100 m away from dumpsite (L2) > 200 m away from dumpsite (L3) > stream (L5) > well (L6). $H_2S$, Oxygenated and aromatic compounds were the major contributors to odour strength in these locations. Correlation, factor and cluster analyses of the data revealed similarities of sources as biogenics and xenobiotics inherent in the wastes as the main sources of these odourous compounds.

The Importance of Essential-Oils in the Green Synthesis of Silver Nanoparticles

Azeez Abdullah Barzinjy 대한화학회 2022 대한화학회지 Vol.66 No.4

The antibacterial activity of metallic nanoparticles (NPs), especially silver (Ag), has been investigated during the course of time in various chemical reactions for antibiotics free agents. Green synthesis of metallic NPs using either microorganisms or plant-extracts has appeared as a simple and replacement to chemical and physical methods. The synthesizing of these NPs through ecofriendly methods signifies an exceedingly applicable approach for offering economical, preferring scalability and possessing negligible ecological influences. Essential-oils are among the subordinate metabolites of plants and their antibacterial anti-inflammatory characteristics have been investigated widely and are commonly attained from the aromatic plants. The usage of essential-oils as reducing agents in biosynthesizing of Ag NPs bring together the interaction of a vital antibacterial agent that simplify the nucleation and growth process within the NPs formation. This review article is offering a progressive process of Ag NPs synthesis using essential oils along with proposing the most applicable formation mechanisms and their antibacterial activities.

Traffic Emission Modelling Using LiDAR Derived Parameters and Integrated Geospatial Model

Azeez, Omer Saud,Pradhan, Biswajeet,Jena, Ratiranjan,Jung, Hyung-Sup,Ahmed, Ahmed Abdulkareem The Korean Society of Remote Sensing 2019 大韓遠隔探査學會誌 Vol.35 No.1

Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara-Selatan Expressway-NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decision-making tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.

Indoor exposure to hazardous air pollutants and volatile organic compounds in low-income houses in Lagos, Nigeria

Luqmon, Azeez,Musa, Olaogun,Mariam, Adeoye,Abdulazeez, Lawal,Babatunde, Agbaogun,Ibrahim, Abdulsalami,Adija, Majolagbe Techno-Press 2012 Advances in environmental research Vol.1 No.4

This study investigated exposure to air pollutants in rooms in low-income houses at Shomolu (R1), Mafoluku (R2) and Mushin (R3) in Lagos state. The concentrations of most measured exceeded limits of Illinois Department of Public Health (IDPH) for indoor air quality. Air quality index (AQI) in rooms studied was unhealthy for sensitive people in terms of CO, unhealthy in terms of $SO_2$ and very unhealthy in terms of $NO_2$ while moderate air quality was obtained in terms of $PM_{10}$ in most rooms. High concentrations of carbontetrachloride, formaldehyde and xylene measured could have been responsible for some of the health complaints of the occupants. Factor analysis shows that cooking with kerosene, use of gasoline generator and insecticide were the major contributors to indoor air pollution in these rooms. Therefore, there is need to urgently tackle poverty as all affected by these pollutants were poor who live in substandard houses without kitchens.

Contributions of Manures to Soil Phosphorus Fractions and Their Relationship with Maize Dry Matter Yield and P Uptake in Two Tropical Soils

Jamiu Azeez,Ololade Olurunke 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Clinical and Molecular Detection of Fowl Pox in Domestic Pigeons in Basrah Southern of Iraq

Isam Azeez Khaleefah,Hassan M. Al-Tameemi,Qayssar Ali Kraidi,Harith Abdulla Najem,Jihad Abdulameer Ahmed,Haider Rasheed Alrafas 대한수의학회 2024 大韓獸醫學會誌 Vol.64 No.1

Bird species, particularly poultry and other bird types, including domestic pigeons, are susceptible to fowl pox, a contagious viral disease. The main goal of this study was to validate clinical avipoxvirus diagnoses using molecular analytical methods. The essential components of the investigation were the clinical signs, visible abnormalities, histological changes, and polymerase chain reaction analysis. Twenty out of 120 pigeons had clinical symptoms, which included yellowish crust or nodules near the feet, eyes, and beak. An erosive epidermal lesion and an epidermal acanthotic papular lesion with basal vacuolation were maculopapular evidence associated with significant epidermal hyperkeratosis, as confirmed by histological analysis. In addition, the results showed keratinocyte necrosis beneath the hyperkeratotic epidermal layer, together with superficial and deep dermal perivascular lymphocytic infiltration. In addition, the P4b core protein gene underwent phylogenetic analysis. The sequence analysis results indicated a high degree of similarity across the local strains, with just minor variations observed. Five sample sequences were selected and submitted to the NCBI database. These sequences were identified as OR187728, OR187729, OR187730, OR187731, and OR187732. All the various strains in this research may be classified under clade A of the chicken pox virus phylogenetic classification. This study presents the first description and characterization of pox virus infections in domestic pigeons inside the Basrah governorate.

Multi-label feature selection using density-based graph clustering and ant colony optimization

Kakarash Zana Azeez,Mardukhia Farhad,Moradi Parham 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1

Multi-label learning is a machine learning subclass that aims to assign more than one label simultaneously for each instance. Many real-world tasks include high-dimensional data which reduces the performance of machine learning methods. To solve this issue, a filter and multi-label feature selection is proposed in this paper. The main idea of the proposed method is to choose highly relevant and non-redundant features with the lowest information loss. The proposed method first uses a novel graph-based density peaks clustering to group similar features to reach this goal. It then uses the ant colony optimization search process to rank features based on their relevancy to a set of labels and also their redundancy with the other features. A graph first represents the feature space, and then a novel density peaks clustering is used to group similar features. Then, the ants are searched through the graph to select a set of non-similar features by remaining in the clusters with a low probability and jumping among the clusters with a high probability. Moreover, in this paper, to evaluate the solutions found by the ants, a novel criterion based on mutual information was used to assign a high pheromone value to highly relevant and non-redundant features. Finally, the final features are chosen based on their pheromone values. The results of experiments on a set of real-world datasets show the superiority of the proposed method over a set of baseline and state-of-the-art methods.

Traffic Emission Modelling Using LiDAR Derived Parameters and Integrated Geospatial Model

Omer Saud Azeez,Biswajeet Pradhan,Ratiranjan Jena,정형섭,Ahmed Abdulkareem Ahmed 대한원격탐사학회 2019 大韓遠隔探査學會誌 Vol.35 No.1

Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara–Selatan Expressway–NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decisionmaking tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.

An optimized cupric reducing antioxidant capacity (CUPRAC) method for assessment of xanthine oxidase inhibition activity

Ahlam Majid Azeez,Mahmoud Hussain Hadwan 한국분석과학회 2023 분석과학 Vol.36 No.1

This protocol clarifies a simple and precise method for measuring the activity of xanthine oxidase (XO) enzyme inhibitor. XO enzyme, which accelerates oxidative stress-related disorders through its capacity to generate hydrogen peroxide and superoxide anion radicals (O2 •−), has been found to be inhibited by several plant extracts. Enzyme samples were incubated with a suitable buffer containing adequate amounts of xanthine as a substrate to determine XO activity. The method depends on direct measurements of uric acid and hydrogen peroxide production to test XO with and without interference. The CUPRAC reagent (Cu(Nc)2 2+) was used to inhibit enzyme reaction after incubation was complete. The generated urate and peroxide reduced the Cu(II)- neocuproine complex (Cu(Nc)2 2+) to a brightly colored Cu(I)-neocuproine complex (Cu(Nc)2 +), which was assessed with a spectrophotometer at 450 nm. XO activity was found to be directly related to the increased absorbance of the colored Cu(I)-neocuproine complex (Cu(Nc)2 +). To eliminate catalase enzyme interference, the proposed method used sodium azide and was validated against XO activity using the UV method in matched samples with t-test analysis. The proposed assay can determine XO activity with high precision, as indicated by the correlation coefficient (R2 = 0.9935) from comparison with the reference protocol.

Surface modification of Fe2O3 and MgO nanoparticles with agrowastes for the treatment of chlorosis in Glycine max

Nazeer Abdul Azeez,Udhayakumar Sreelakshmi,Mani Saranpriya,Dhanapal Mothilal,Vijaykumar Sudarshana Deepa 나노기술연구협의회 2018 Nano Convergence Vol.5 No.23

Surface modification of nanoparticles for biological applications is receiving enormous interest among the research community due to the ability to alchemy the toxic nanoparticles into biocompatible compounds. In this study, the agrowastes of Moringa oleifera and Coriandrum sativum were used to surface modify the magnesium oxide nanoparticles and ferric oxide nanoparticles respectively. The agrowaste amended magnesium oxide nano particles (AMNP) and agrowaste amended ferric oxide nanoparticles (AFNP) were characterized using scanning electron microscope, X-ray diffractometer, Fourier transformed-infra red spectroscope to justify the formation and surface modification of nanoparticles with the organic functional groups from the agro wastes. The surface modified nano particles were tested for their biocompatibility and ability to treat the chlorosis in Glycine max. On comparison between the two metal based nanoparticles, AMNP exhibited better chlorosis treating ability than the AFNP. Both the nano particles showed increased potency at minimal amount, 30 μg and the higher concentrations till 125 μg exhibited down run of the potency which was again enhanced from 250 μg of nanoparticle treatment to plants. Further the surface modified nanoparticles were assessed for biocompatibility on human embryonic kidney (HEK-293) cell line which proved that the cell lines are non-toxic to normal human cells. The size of the particles and the concentration is suggested to be responsible for the effective chlorosis treatment and the organic functional groups responsible for the reduction of toxicity of the particles to the plants.