TUT DIGITAL OPEN REPOSITORY
Featured Items
Recent Submissions
Item Occurrence and levels of total mercury in selected landfill sites in Gauteng and Limpop Provinces of South Africa.(Tshwane University of Technology, 2018-09-04)Mercury has been used for many centuries in the production of consumer products such as thermometers, electrical switches, fluorescent light bulbs, batteries, biocides and pesticides, cosmetics, and dental amalgam fillings, among others. After use, these mercury-containing consumer products form part of municipal solid waste (MSW). As a result of un-separated solid waste collection system, mercury-containing wastes tend to end up in landfills where mercury and other pollutants can leach out of products into landfill leachates. Therefore, the aim of the present study was to determine the total mercury (THg) concentrations in leachate and sediment samples collected from four selected landfill sites (three in Gauteng Province - Soshanguve, Hatherley, Onderstepoort, and one in Limpopo Province - Thohoyandou). Groundwater samples were collected from the monitoring boreholes at the four selected landfill sites during summer and winter periods. The acid digestion method was employed for sample preparation and this was followed by analysis using cold vapour atomic absorption spectrophotometry (CVAAS). The concentration of total mercury in Thohoyandou leachate, sediment and groundwater samples ranged from 0.12±0.002 - 2.07±0.28 μg/L, 0.03±0.001 - 0.48±0.002 μg/g and 0.09±0.001 - 2.12±0.28 μg/L, respectively, and in Soshanguve the concentration ranged from 0.10±0.01 - 1.20±0.27 μg/L, 0.04 ±0.01 to 0.62±0.61 μg/g and ND to 1.66±1.18 μg/L, in Hatherley from 0.42±0.01 - 1.31±0.51 μg/L and 0.06±0.02 - 0.78±0.53 μg/g for leachate and sediment, respectively (groundwater samples were not accessible at Hatherley site), and in Onderstepoort from 0.12±0.01 - 2.41±0.35 μg/L, 0.03±0.001 - 0.50±0.18 μg/g, and 0.05±0.001 to 2.44±0.47, respectively. The mean concentration ranges of total mercury in leachate, sediment and groundwater samples in winter were 1.20±0.27 to 2.41±0.35 μg/L, 0.48±0.002 - 0.78±0.53 μg/g and 1.66±0.18 - 2.44±0.47 μg/L, respectively, and in summer the concentration ranges were 0.10± 0.01 - 0.42±0.001 μg/L, 0.03±0.001 - 0.06±0.02 μg/g and ND to 0.09±0.001 μg/L, respectively. The determination of cations and anions was conducted along with the determination of total mercury. Moderate positive and strong positive correlations were observed between mercury and selected cations in leachate, sediment and groundwater samples from Thohoyandou, Soshanguve, Hatherley and Onderstepoort landfill sites during summer and winter. From the established relationship between mercury and cations, it was suggested that cations are likely to influence the behaviour of mercury and its mobilisation from leachate and sediment into groundwater. Furthermore, anions were also found to form strong complexes with mercury in leachate and sediment and thereby facilitating its mobility into groundwater. The findings of this study suggest that there is a strong likelihood of groundwater contamination by mercury from landfill leachate seepage, particularly for landfills that are not lined with geomembrane material.Item Exposure estimates of brominated flame retardants and lead in children's toys and indoor urban dust using spectrometric techniques.(Tshwane University of Technology, 2018-09-02)Brominated flame retardants (BFRs) such as hexabromocyclododecane (HBCDD), polybrominated diphenyl ethers (PBDEs) and “novel” or “alternate” (NBFRs) are a group of man-made organobromine compounds that are incorporated into a variety of day-to-day products for flame retardancy. As a result of migration during use, they have been shown to have contaminated living organisms, the surrounding environment and the food chain. Furthermore, various studies have associated BFRs such as PBDEs and HBCDD as well as some NBFRs with adverse health issues. In addition, studies have identified BFRs in products designated for children’s play such as toys which is also cause for concern due to the mouthing habit of children. On the other hand, there is an emerging concern regarding the presence of lead (Pb) in children’s toys due to the fact that Pb has been associated with various health issues. Despite the progress made in developed countries over the past few years in reporting the presence of BFRs and metals, there is still a knowledge gap with regards to the presence of BFRs and Pb in children’s toys and the presence of NBFRs and HBCDD in indoor dust in Africa. This study, therefore, focused on the determination of PBDEs, HBCDD and some NBFRs in dust collected from electronics and furniture, as well as in children’s toys. Furthermore, this study measured the levels of lead present in children’s toys. The approach followed was to first use a portable XRF (p-XRF) analyser to identify and measure bromine content in office equipment and furniture which serves as the first indication of the possible presence of BFRs; and secondly, to measure levels of BFRs present in 21 dust samples collected from the identified products. A suitable and optimised gas chromatography-mass spectrometry (GC-MS) method was developed for the simultaneous determination of PBDEs, HBCDD and NBFRs. The sample preparation method involved ultrasonication and column chromatography. The concentrations of Σ7BDE congeners ranged from 50 – 3 350 ng/g. The BDE-99, -183 and -209 congeners were predominantly detected with maximum concentrations of 543, 401 and 1 760 ng/g, respectively. Hexabromocyclododecane (HBCDD) was also analysed and reported as the sum of all three isomers (α, β, and γ) and was detected in 57% of all dust samples analysed with a maximum concentration of 385 ng/g. In the case of NBFRs, 1,2-bis(2,4,6-tribromophenoxy) ethane (BTBPE) was the most frequently detected (81%) with a maximum concentration of 1 400 ng/g. Along with the legacy BFRs, the NBFRs were frequently detected indicating the probability of increased usage as substitutes for the banned PBDEs. In the case of children’s toys, portable XRF was first used to identify and measure bromine and Pb in 103 toys. In total, eleven toy samples with significant levels of bromine (exceeding100 μg/g) were selected for a more compound-specific determination using GC-MS. Sample preparation involved vortexing, ultrasonication and acid wash clean-up methods. The concentrations of BDE congeners ranged from- 1 in at least one or both methods used, indicating that there is an appreciable risk of exposure associated with the toys evaluated.
Item Disinfection potential of moringa oleifara to eliminate antibiotic-resistant bacteria in wastewater in comparison to chlorination.(Tshwane University of Technology, 2019-03-05)The levels of antibiotic-resistant Enterobacteriaceae (Escherichia coli, Vibrio cholera, Salmonella typhimurium, Shigella flexneri and Proteus mirabilis) found to be present in discharged effluents of four wastewater treatment plants (WWTPs) in Tshwane Municipality in Gauteng are of significant health concern. These WWTPs discharge their effluents into nearby rivers which are of economic importance to the immediate communities living downstream. This situation exposes individuals and livestock that consume or use water from these rivers to health risks associated with partially decontaminated wastewater. Therefore, the purpose of this study was to evaluate the reactivation of bacteria previously inactivated by chlorine and ultraviolet disinfection, which entailed assessing the efficiency of the current disinfection agents being used in eliminating antibiotic-resistant bacteria (ArB). Our aim was achieved by monitoring the dynamics (movement) of ArB response to disinfection in WWTPs from the point downstream of the secondary settling tank (SST) (prior to disinfection) to the point of discharge (disinfected effluents). In addition, the disinfection potential of Moringa oleifera (M. oleifera) extracts on ArB were investigated, and comparative experiments were conducted to determine whether there is a difference in disinfection efficiency between M. oleifera extracts and chlorine at equal concentrations. To achieve the aims of this study, the investigations were divided into different stages. The first stage involved collection of M. oleifera leaves and seeds, phytochemical screening and gas chromatography-mass spectrometry (GC-MS) profiling of the extracts of M. oleifera. The GC-MS profiling showed that our extracts contained similar antioxidants and natural products cited in previous studies, but the most prominent natural product in our extracts was found to be palmitic acid (hexadecanoic acid). The second stage involved wastewater sampling, and a compilation of data on the physicochemical (pH, dissolved oxygen (DO) redox potential, chemical oxygen demand (COD), turbidity) and microbiological parameters (faecal coliforms, E. coli, and total coliforms) of wastewater. From the data collected in this section, an overview of the compliance level of each WWTP was achieved in comparison to standard limits prescribed by the Department of Water Affairs. Only the pH parameter was found to be within acceptable limits in the four WWTPs evaluated. Results of the statistical analysis also revealed a statistically significant correlation between the redox potential values of the final effluent and the disinfection efficiency on ArB. The third stage of the study consisted of two subsections of which the first involved antimicrobial susceptibility testing (AST) of the heterotrophic bacterial population of wastewater samples. In the second subsection, the detection and confirmation of housekeeping genes of the antibiotic-resistant isolates obtained from plates during AST experiments was achieved by real-time polymerase chain reaction (PCR). Disinfection results obtained from the sampled WWTPs showed that disinfection at WWTP-A and WWTP-D was very effective in terms of antibiotic-resistant Escherichia coli, where both displayed a disinfection efficiency of 81.8%. For WWTP-B, a disinfection efficiency of 36.4% was achieved, and for WWTP-C, it was found to be 54.5%. Also, the disinfection efficiency against antibiotic-resistant Vibrio cholerae was observed to be 27.3% for WWTP-B, 45.5% for WWTP-A and 63.6% for WWTP-C, respectively, but very high for WWTP-D, which exhibited the same disinfection efficiency as for antibiotic-resistant E. coli (81.8%). Disinfection efficiency against antibiotic-resistant Salmonella typhimurium (hereinafter referred to as Salmonella typhimurium) at WWTP-A, WWTP-B and WWTP-C was found to range between 90 and 100%, while WWTP-D exhibited the lowest efficiency of 54.54%. Antibiotic-resistant Shigella flexneri was found to be the best respondent to disinfection in all four WWTPs as the disinfection efficiency was found to range from 81.8% to 100%. Antibiotic-resistant Proteus mirabilis was the poorest respondent to disinfection in all four sampled WWTPs, as the disinfection efficiency was found to range between a minimum value of 27.3% (WWTP-A) and a maximum value of 45.45 % (WWTP-C). The fourth stage involved the investigation of antibiotic-resistant genes (ArGs) conferring resistance to the isolates found to be present in the final effluents by means of AST. However, this study focused on the detection of only six antibiotic resistant genes, namely blaCMY-2 (β-lactamase gene), strA (streptomycin), tetM (tetracycline), sul1 (sulfamethoxazole), cat1 (chloramphenicol) and parC (ciprofloxacin). Out of the 103 final effluent samples screened for their resistance genes, only 45 samples were positively identified for the six genes investigated. The following resistance genes were detected in wastewater samples: parC gene in 13 samples, tetM gene in 9, cat1 gene in 6, strA in 8, sul1 gene in 5, and blaCMY-2 in 4 samples. The parC gene was the most prevalent in the wastewater samples assayed as it was detected in 13 samples. In the fifth stage, four extracts of M. oleifera (two extracts of leaves and two extracts of seeds) were evaluated for their disinfection potential in an 8.5% saline suspension (synthetic wastewater). The suspension also contained a consortium of five different antibiotic-resistant bacteria (isolated antibiotic-resistant E. coli, Vibrio cholerae, Salmonella Typhimurium, Shigella flexneri and Proteus mirabilis) at a concentration of 1.5 × 108 bacterial cells. The disinfection data indicated that M. oleifera exhibited excellent antibacterial and disinfection potential on ArB. It was observed that a disinfection efficiency of between 75 and 100% was achieved within 1 h of contact time between M. oleifera extracts and the synthetic wastewater. Consequently, all the extracts of M. oleifera were determined as possessing significantly better disinfection efficiency than chlorine which implies that they can effectively be used as a substitute to chlorine by their activity as a potent disinfectant for inhibiting ArB. Our results therefore support the possibility of using any of the four extracts of M. oleifera in place of chlorine, in order that the acquisition of resistance traits by selective pressure induced by chlorination in bacteria can be eradicated in WWTPs.Item 4IR applications in the transport industry: Systematic review of the state of the art with respect to data collection and processing mechanisms.(MDPI, 2024-08-27)Transportation systems through the ages have seen drastic evolutions in terms of transportation methods, speed of transport, infrastructure, technology, connectivity, influence on the environment, and accessibility. The massive transformation seen in the transportation sector has been fueled by the Industrial Revolutions, which have continued expansion and progress into the fourth Industrial Revolution. However, the methodologies of data collection and processing used by the many drivers of this progress differ. In order to achieve a better understanding of the impact of these technologies, in this study, we methodically reviewed the literature on the subject of the data collection and processing mechanisms of 4IR technologies in the context of transport. Gaps in present practices are identified in the study, especially with regard to the integration and scalability of these technologies in transportation networks. In order to fully reap the rewards of 4IR technologies, it is also necessary to apply standardized methods for data gathering and processing. In this report, we offer insights into current obstacles and make recommendations for future research to solve these concerns through a comprehensive evaluation of the literature, with the goal of promoting the development of intelligent and sustainable transportation systems.Item Multimodal emotion recognition using visual, vocal and physiological signals: A review.(MDPI, 2024-08-30)The dynamic expressions of emotion convey both the emotional and functional states of an individual’s interactions. Recognizing the emotional states helps us understand human feelings and thoughts. Systems and frameworks designed to recognize human emotional states automatically can use various affective signals as inputs, such as visual, vocal and physiological signals. However, emotion recognition via a single modality can be affected by various sources of noise that are specific to that modality and the fact that different emotion states may be indistinguishable. This review examines the current state of multimodal emotion recognition methods that integrate visual, vocal or physiological modalities for practical emotion computing. Recent empirical evidence on deep learning methods used for fine-grained recognition is reviewed, with discussions on the robustness issues of such methods. This review elaborates on the profound learning challenges and solutions required for a high-quality emotion recognition system, emphasizing the benefits of dynamic expression analysis, which aids in detecting subtle micro-expressions, and the importance of multimodal fusion for improving emotion recognition accuracy. The literature was comprehensively searched via databases with records covering the topic of affective computing, followed by rigorous screening and selection of relevant studies. The results show that the effectiveness of current multimodal emotion recognition methods is affected by the limited availability of training data, insufficient context awareness, and challenges posed by real-world cases of noisy or missing modalities. The findings suggest that improving emotion recognition requires better representation of input data, refined feature extraction, and optimized aggregation of modalities within a multimodal framework, along with incorporating state-of-the-art methods for recognizing dynamic expressions.
Communities in TUTDoR
Select a community to browse its collections.