Almost everywhere in the marine ecosystem contains microplastics. Although their environmental contamination is a global problem, relatively little is known about their distribution and abundance in the Gulf of Guinea. This study looked at the spatial dynamics of microplastics in the sea surface water off the coast of Ghana. Four chosen areas were found to have non-variable concentrations ranging from 1.14 to 2.79 particles m⁻³ using a self-constructed Low-Tech Aquatic Debris Instrument (LADI) trawl (333 μm mesh). The most abundant shapes were fragments and pellets, while the most common colors were colored and transparent particles. The polymer types found in the microplastics selected for investigation using Fourier Transform Infrared spectroscopy in Attenuated Total Reflectance mode (ATR-FT-IR) were Polypropylene, Polyethylene, and Polystyrene. These results provide an important baseline on microplastic pollution along the Ghanaian coast suggesting the LADI trawl as an accurate quantitative sampling tool for microplastics from sea surface water.

PURPOSE OF REVIEW: The utilization of attached microalgae and bacteria to degrade wastewater has become a more promising treatment process to replace traditional methods. That is because the algae-bacteria biofilm can not only remove nutrients from the water but also achieve the effect of carbon fixation. Besides, the attached microalgae are easy to harvest and can be used for the processing of high value-added products. This paper reviews the knowledge of microalgae biofilm combined with bacteria to treat wastewater and provides insights into the bioremediation of the ecosystem by algae and bacteria. RECENT FINDINGS: Due to the photosynthesis of algae and the oxidative decomposition of bacteria, the symbiotic system of algae biofilm and bacteria from wastewater has significant advantages in harvesting and degradation. To further improve wastewater utilization efficiency and carbon fixation, it is necessary to understand the algae-bacteria symbiotic system of mechanism and influencing factors of nitrogen and phosphorus removal and carbon fixation. The photobioreactor for microalgae cultivation is gradually developed and optimized, laying a solid foundation for actual production and application. The algae-bacteria symbiotic system is more effective compared to individual microalgae treatment since the algae-bacteria biofilm has better removal efficiency and adsorption capacity as well as easy to harvest. This article introduces the mechanism and influencing factors of the algae-bacteria symbiotic system to remove nutrients and organic pollutants from water in detail. Furthermore, the research progress of photobioreactors is summarized as well. Finally, the application prospect of microalgae biofilm in wastewater treatment was prospected.

Bioelectrochemical system (BES) is an emerging technology for wastewater treatment. The urgent requirement for dealing with water shortage, wastewater treatment and reuse, energy generation, and resources recovery has promoted intensive research in BES during the last decade. This review summarizes the latest typical BES configurations based on specific functions, including microbial fuel cells (MFC), microbial electrolysis cells (MEC), microbial electrosynthesis systems (MSS), microbial desalination cells (MDC), microbial recycling cells (MRC), microbial solar cells (MSC), and microbial electrochemical snorkel (MES). The removal of contaminants, particularly emerging organic, non-metallic, metallic, and metalloid contaminants, and the recovery of resources in the form of bioenergy, biofuel, nutrients, metals, and metalloids in wastewater treatment using BES technology have been reviewed in this work. Limitations of BES technology in terms of reactor performance, scale-up, and construction costs for real-world wastewater treatment applications are discussed and future research directions needed for the successful deployment of BES technology are proposed.

This study assessed the seasonal variation in the magnitude of marine litter along the Gulf of Guinea coastline, Araromi seaside, Nigeria with a survey of twenty sampling sites. The total number of litter items collected was 29,029 comprising 7358 and 21,671 items in the dry and rainy season respectively. The average number of items per square meter was higher in the rainy season (1.80 ± 0.35) than in the dry season (0.61 ± 0.19). Plastic materials dominated the litter composition with 86 % and 91.8 % in the dry and rainy season respectively. The beach cleanliness assessed as clean coast index (CCI) depicted the beach as dirty (12.26 ± 3.74) during the dry season and extremely dirty (36.13 ± 6.91) in the rainy season. The hazardous item index (HII) also showed the coastline was littered with hazardous items. These results provide baseline data for marine litter management along the Gulf of Guinea coastlines and other coastlines in Africa.

This study was carried out in Luoyuan Bay in March 2021. The species composition of microalgae community colonizing on microplastics called epimicroplastic microalgae (EMP-MA) was analyzed and compared with planktonic microalgae (PM) community. The species number of EMP-MA community (73) was higher than that of PM community (56). However Simpson Index and Pielou Evenness Index of EMP-MA community were significantly lower than that of PM community (P < 0.05). Although diatom was the most diverse and abundant taxa in both EMP-MA and PM community, their species compositions were significantly different (P < 0.05). Dominant species were also different between the two communities. Moreover, 12 harmful algal species were found in EMP-MA community, which may drift with microplastics and increase the risks of harmful algal blooms (HABs). This study is helpful to reveal the dispersal mechanism of HABs and potential impacts of EMP-MA on marine ecosystem.

The method's development to detect oil-spills, and concentration monitoring of marine environments, are essential in emergency response. To develop a classification model, this work was based on the spectral response of surfaces using reflectance data, and machine learning (ML) techniques, with the objective of detecting oil in Landsat imagery. Additionally, different concentration oil data were used to obtain a concentration-estimation model. In the classification, K-Nearest Neighbor (KNN) obtained the best approximations in oil detection using Blue (0.453–0.520 μm), NIR (0.790–0.891 μm), SWIR1 (1.557–1.717 μm), and SWIR2 (1.960–2.162 μm) bands for 2010 spill images. In the concentration model, the mean absolute error (MAE) was 1.41 and 3.34, for training and validation data. When testing the concentration-estimation model in images where oil was detected, the concentration-estimation obtained was between 40 and 60 %. This demonstrates the potential use of ML techniques and spectral response data to detect and estimate the concentration of oil-spills.

Northern Dvina River is one of the largest rivers in the European Arctic flowing into the White Sea through the populated regions with developed industry. Floating plastics include microplastics (0.5–5 mm) and mesoplastics (5–25 mm) were observed on seasonal variations in the Northern Dvina River mouth. The samples were collected every month from September to November 2019 and from May to October 2020 with a Neuston net that was togged 3 nautical miles in the Korbel'nyy Branch of the River delta. Chemical composition of the plastic particles was determined using a Fourier transmission infrared spectrometer. The majority of the microplastics were identified as polyethylene 52.6%, followed by polypropylene 36.8%. After estimating the export fluxes of microplastics from the Northern Dvina River to the Arctic, there is no significant seasonal variation of the river export of microplastics. The microplastics export rate during the spring flood period in May turned out to be maximum, 58 items/s, while the minimum discharge was in September with a value of 9 items/s. The average weight concentration of microplastics was 18.5 μg/m³, which is higher than it was found in the Barents Sea – 12.5 μg/m³ and several times higher than in the Eurasian Arctic on average - 3.7 μg/m³. These results indicate that the Northern Dvina River is being one of the main sources of microplastic pollution of the White and the Barents Seas.

The Florida Everglades is a unique and fragile coastal wetland ecosystem that is undergoing a decades-long, large-scale ecological restoration. This freshwater ecosystem in southern Florida has been stressed by diminishment of freshwater flow and water diversion due to agricultural activities and urbanization. The health of this vast ecosystem is also threatened by the presence of a large number of invasive species, including the Burmese python. These large constrictors were introduced to South Florida through the pet trade; first sightings in Everglades National Park occurred in the 1980s. Pythons are naturally camouflaged in the Everglades, which turns out to be an excellent environment for propagation of these huge predators. This top predator has severely disrupted the food web, consuming mammals, birds and even other reptiles. In this paper, the current population control efforts implemented by various management agencies are assessed. While more paid professional hunters should be retained to join the search and removal efforts, innovative control measures are necessary.

Louisiana estuaries are important habitats in the northern Gulf of Mexico, a region undergoing significant and sustained human- and climate-driven changes. This paper synthesizes data collected over multiple years from four Louisiana estuaries – Breton Sound, Terrebonne Bay, the Atchafalaya River Delta Estuary, and Vermilion Bay – to characterize trends in phytoplankton biomass, community composition, and the environmental factors influencing them. Results highlight similarities in timing and composition of maximum chlorophyll, with salinity variability often explaining biomass trends. Distinct drivers for biomass versus community structure were observed in all four estuarine systems. Systems shared a lack of significant correlation between river discharge and overall phytoplankton biomass, while discharge was important for understanding community composition. Temperature was a significant explanatory variable for both biomass and community composition in only one system. These results provide a regional view of phytoplankton dynamics in Louisiana estuaries critical to understanding and predicting the effects of ongoing change.

Green macroalgal blooms caused by Ulva species have influenced the Shandong Province for 15 consecutive years since 2007, leading to serious damage to the marine environment. Great biomasses of attached Ulva prolifera on Neopyropia aquaculture rafts in the Yellow Sea were considered as sources of blooms. However, it is still unclear whether U. prolifera could survive and settle in the Qingdao coastal environment, Shandong, thus leading to local Ulva blooms in the future. In this research, sampling of Ulva macroalgae in seven Portunus trituberculatus aquaculture ponds along the coast of Qingdao was conducted on August 21, 2019. In total, 24 samples collected from the ponds were analyzed through methods of molecular biological identification (ITS, 5S, and rps2-trnL sequences) and genetic analysis. All the aquaculture ponds contained large amounts of floating Ulva macroalgae, which consisted of three species: U. prolifera, Ulva meridionalis, and Ulva pertusa. Among these species, U. meridionalis, which is usually found in southern Japan, also causes the green tide. In addition, all Ulva macroalgae floated on the surfaces of aquaculture ponds, and were discarded into the local coastal area by aquaculturist. This research raised our awareness of the importance of controlling the spread of the green tide related macroalgae.