Discharged effluents from industry have been responsible for the deterioration of the aquatic environment in many parts of the world, especially in developing countries. Increasing industrialization and urbanization have resulted in the discharge of large amounts of waste into the environment, resulting in high pollution loads. Utilization of microbes such as fungi and bacteria have been used for pollution degradation. The aim of this research was to utilize microbial agents such as fungi and bacteria to reduce pollutant loads such as heavy metals in effluent samples. Three types of effluent (pharmaceutical, textile effluent, and dye) were obtained from Surulere in Lagos Metropolitan Area, Nigeria. Heavy metals analysis was carried out using a flame atomic adsorption spectrophotometer according to standard methods. Samples were cultured for microbes and identified. Bacteria samples were inoculated on nutrient agar and incubated at 37°C for 24 hours. Fungi counts were carried out using potato dextrose agar and incubated at 28°C for 3-5 days. The isolated organisms were identified based on their morphological and biochemical characteristics. Then 100 mL of the effluents was dispensed into 250 mL flasks, and the pH of the medium was adjusted to 7.2 by the addition of either sodium hydroxide or hydrogen chloride and autoclaved at 121°C for 15 minutes. The autoclaved flask was inoculated with 1 mL of bacteria and fungi for 21 days and pH was recorded properly every 48 hours. The results of the physicochemical parameters indicated that conductivity, total suspended solids, total dissolved solids, turbidity, chemical oxygen demand and biochemical oxygen demand for all the three industrial effluents were higher than the World Health Organization (WHO) permissible limits. Heavy metal analysis results show that the effluents had high values for cadmium, above the WHO limit of 0.003 mg/L. Concentrations of zinc ranged from 0.136-1.690 mg/L, and nickel ranged between 0.004-0.037mg/L for the three effluents, within the WHO limit. The identified bacteria were Bacillus subtilis, Klebsiella pneumonia, Salmonella typhi and Bacillus cereus and isolated fungi were Aspergillus flavus and Penicillium chrysogenum. All the physicochemical parameters and heavy metal concentrations were reduced after the biodegradation study in the effluents. The responses observed in the various microbes indicated that the use of microbes for the reduction of environmental pollutants has an advantage over the use of other methods because it is environmentally friendly, low cost, and no new chemicals are introduced into the environment. This method should be encouraged for pollution reduction to bring about ecosystem sustainability advocated for Ghana.

In Nigeria, limited research has been conducted on Microplastics (MPs) in inland rivers, necessitating a comprehensive assessment to understand the extent of contamination. This study aimed to assess the abundance, distribution, and composition of MPs in fishes, sediment, and water from inland rivers across Nigeria's six geopolitical zones. Samples were collected from selected rivers in each geopolitical zone (Rivers Yauri, Benue, Argungu, Jamare, Ogun, Ethiope and Orashi). MPs were isolated using a combination of filtration, density separation, and visual identification. MPs abundance, distribution, shapes, colors, and chemical composition were determined using microscopy and Fourier-transform infrared spectroscopy. The study presents the first report of MPs in six in land rivers in Nigeria and found that MPs were present in all the fishes, sediments and river waters studied across all the rivers. The abundance and composition of MPs varied among the different sample types, with fibers being the most abundant shape in both water and fish samples. PET, PP, and PE were the most prevalent types of plastics found in fish samples, while PE/PA/Nylon, PVA, and PVC were predominant in water samples. PA/Nylon, PUR, PVC, and PET were the most common in sediment samples. Source analysis by Principal component analysis (PCA) and Hierarchical Cluster Analysis (HCA) indicated that the presence of MPs was mainly influenced by local anthropogenic activities. However, estimated daily intakes are generally low, indicating that daily consumption of the samples is not likely to be harmful. The widespread presence of MPs in inland rivers across Nigeria highlights the urgent need for effective waste management strategies and environmental conservation efforts to mitigate plastic pollution.

Aquatic ecosystem monitoring is important for supporting biodiversity and environmental stability, yet it faces increasing threats from pollution, climate change and human activities. This study presents the development and deployment of a low-cost multi-sensor data logging system for real-time monitoring of Lagos Lagoon. The system integrates temperature sensors, hydrophones, and imaging devices to collect environmental data. Results showed that temperature variations ranged from ~28.5 to 31.5 °C, with fluctuations influenced by partial and full submersion. Acoustic analysis revealed dominant frequencies below 500 Hz, indicative of biological and anthropogenic activity in the lagoon. Machine learning models trained on 31 species closely agreed with the environmental dataset despite some noticeable deviations, suggesting potential improvements through data augmentation and model refinement. Despite challenges such as signal attenuation in submerged conditions and image degradation due to water turbidity, the system successfully recorded and logged environmental parameters. This study demonstrates the feasibility of using artificial intelligence-powered, cost-effective sensor technology for continuous aquatic monitoring, with implications for biodiversity conservation and water resource management. Future research should focus on enhancing wireless communication, refining species detection algorithms and improving sensor resilience in harsh aquatic conditions.

Background: Following the declaration of COVID-19 as a global pandemic and the report of index case in Africa, the number of countries in Africa with confirmed cases of the infection has grown tremendously with disease now being reported in almost all countries on the continent, with the exemption of Lesotho after 75 days. It is therefore necessary to evaluate the disease outcomes among the African countries as the situation unfolds for early identification of best practices for adoption. Methods: In this study, COVID-19 disease outcomes (confirmed cases, deaths and recoveries), testing capacities and disease management approaches among African countries were evaluated. The relationship between COVID-19 infections in African countries and their performance on global resilient indices including the Human Development Index (HDI), performance on Sustainable Development Goals (SDGs) and the Global Risk Index (GRI) were also examined. Data acquired from various standard databases were evaluated over a period of 75 days from the date of reporting the index case. Results: This study has revealed compelling spatial differences in the incidence, deaths and recoveries from COVID-19 among African countries. Egypt, South Africa, Morocco and Algeria were clustered as countries with highest values of COVID-19 disease outcomes on the continent during the 75-day period of observation. The cluster analysis and comparison of countries in terms of percentage recovered cases of confirmed infections revealed that Mauritius, Mauritania, Gambia, Burkina Faso, Madagascar, Togo and Uganda had the highest scores. Comparative analysis of COVID-19 across the world revealed that the parameters were relatively inconsequential in Oceania and Africa continents, while Europe, North America and Asia had significantly higher cases of disease outcomes. For COVID-19 testing capacities, South Africa, Ghana and Egypt are leading in total number of tests carried out. However when the number of tests carried out were related to population number of the countries, Djibouti, Mauritius, Ghana and South Africa are found to be the leading countries. With respect to management of the disease in Africa, all the countries adopted the WHO protocols, personal hygiene, economic palliatives and social distancing measures. Only three countries in Africa (Madagascar, Togo and Burkina Faso) had a state supported initiative to utilise traditional medicines or herbs as alternatives to control COVID-19. Additionally, most of the countries are providing prompt treatment of the patients with a range of drugs especially Hydroxychloroquine, Chloroquine and Chloroquine-Azithromycin combination. The study found that no strong relationship currently exists between the global resilient indicators (HDI, SDG and GRI) and COVID-19 cases across Africa. Conclusions: This study has revealed compelling spatial differences in disease outcomes among African countries and also found testing capacities for COVID-19 to be abysmally low in relation to the population. During the 75 days of observation, African countries have recorded significantly low number of deaths associated with COVID-19 and relatively high recovery rates. Countries in Africa with higher rate of recovery from the disease were found to have adopted strict adherence to some of WHO protocol to contain the disease, isolate all those who test positive to the disease and provide prompt treatment of the patients with a range of drugs especially Hydroxychloroquine, Chloroquine and Chloroquine-Azithromycin combination. The study recommends that the approaches adopted by the African countries which achieved high recovery rates from COVID-19 should be integrated into healthcare management plans for the disease across the continent even as the situation unfolds.