Hydrogen cyanide (HCN) comes from a wide range of sources, but it is highly toxic and corrosive, harming the environment and human health. This experiment used magnetic nano-Fe₃O₄ particles loaded with Cu (Cu-Fe₃O₄ magnetic nanoparticles) for electrochemical catalytic purification of HCN in a liquid phase pseudo-homogeneous system. The results show that the purification efficiency of Cu-Fe₃O₄ magnetic nanoparticles on HCN is 70% without electricity. After a certain voltage is applied, the degradation efficiency of 2 h with iron-carbon particles is significantly improved, and the degradation efficiency can reach about 95%. And the degradation efficiency increases with the increase of voltage. The electrochemical synergistic degradation mechanism of Cu-Fe₃O₄ magnetic nanoparticles is complex, which can directly catalyze the degradation of HCN or form CNO⁻ intermediates to further degrade into CO₂, H₂O, and NH₃. Meanwhile, Fe²⁺, Cu⁺, and other transition metal ions in the liquid phase participate in the Fenton-like reaction to further degrade HCN. The results show that the synergistic electrochemical degradation of HCN by Cu-Fe₃O₄ magnetic nanoparticles has excellent potential to degrade highly toxic gases.

Improving the logistics ecological efficiency (LEE) has become a significant part of ensuring a sustainable development and tackling environmental pollution. Previous studies in the logistics industry seldom considered air pollutants and the association of spatial information. Therefore, innovatively considering SO₂, NOₓ, and PM, this study adopted the super-SBM-undesirable model to calculate the LEE of 30 provinces in China from 2005 to 2019 and, thereafter, developed information-based matrix to explore its influencing factors by using the spatial Dubin model. The results indicated that (1) the overall LEE was low with the average of 0.657, presenting a three-stage trend of “decreasing first, then rising, and later stable,” and significant regional differences with the decreasing gradient pattern of the “Eastern-Central-Western.” (2) A spatial directionality distributed from the northeast to southwest and a significant spatial autocorrelation were observed. (3) The LEE had a significant positive spillover effect. Industrial structure, urbanization level, environmental regulation, and technological innovation level had a positive impact on the local LEE, and industrial structure displayed the most promoting effects. Energy intensity, economic level, energy structure, and opening level had a significant effect on the local LEE with varying degree of inhibition. Local energy intensity and environmental regulation had a positive influence on the LEE in neighboring areas, while local opening level had inhibiting effects. In addition, policy recommendations for enhancing the LEE were made.

This paper for the first time synthesizes novel biodiesel experimentally using low-cost feedstocks of coconut oil, caustic soda, and fermented palm wine contaminated by microorganisms. The alkaline catalyzed transesterification method was used for biodiesel production with minimal glycerol. The produced biodiesel was biodegradable and effective in cleaning a shoreline oil spill experiment verified by our developed oil spill radial numerical simulator. For the first time, an adaptive neuro-fuzzy inference system (ANFIS) was hybridized with invasive weed optimization (IWO), imperialist competitive algorithm (ICA), and shuffled complex evolution (SCE-UA) to predict biodiesel yield (BY) using obtained Monte Carlo simulation datasets from the biodiesel experimental seed data. The test results indicated ANFIS-IWO (MSE = 0.0628) as the best model and also when compared to the benchmarked ANFIS genetic algorithm (MSE = 0.0639). Additionally, ANFIS-IWO (RMSE = 0.54705) was tested on another coconut biodiesel data in the literature and it outperformed both response surface methodology (RMSE = 0.72739) and artificial neural network (RMSE = 0.68615) models used. The hybridized models proved to be robust for biodiesel yield modeling in addition to the produced biodiesel serving as an environmentally acceptable and cost-effective alternative for shoreline bioremediation.

Recent advances in nanotechnology have allowed the encapsulation of hazardous antifouling (AF) biocides in silica mesoporous nanocapsules (SiNC) reducing their short-term toxicity. However, the chronic effects of such novel nanoadditives remain understudied. The present study aimed to assess short- and long-term sub-lethal effects of soluble forms (DCOIT and Ag) and nanostructured forms (SiNC-DCOIT and SiNC-DCOIT-Ag) of two AF biocides and the “empty” nanocapsule (SiNC) on juveniles of Crassostrea gigas after 96 h and 14 days of exposure. Juvenile oysters exposed for a short period to free DCOIT and AgNO₃ presented worse physiological status comparing with those exposed to the nanostructured forms. The long-term exposure to DCOIT and Ag⁺ caused an extensive biochemical impairment comparing with the tested nanomaterials, which included oxidative damage, activation of the antioxidant defense system, and neurotransmission impairment. Despite the negative effects mostly observed on the health condition index and AChE, the encapsulation of the abovementioned AF biocides into SiNC seems to be a technological advantage towards the development of AF nanoadditives with lower long-term toxicity comparing with the soluble forms of such biocides.

Improving the flow field uniformity of catalytic converter can promote the catalytic conversion of NO to NO₂. Firstly, the physical and mathematical models of improved catalytic converter are established, and its accuracy is verified by experiments. Then, the NO catalytic performances of standard and improved catalytic converters are compared, and the influences of structural parameters on its performance are investigated. The results showed that: (1) The gas uniformity, pressure, drop and NO conversion rate of the improved catalytic converter are increased by 0.0643, 6.78%, and 7.0% respectively. (2) As the cell density combination is 700 cpsi/600 cpsi, NO conversion rate reaches the highest, 73.7%, and the gas uniformity is 0.9821. (3) When the tapered height is 20 mm, NO conversion rate reaches the highest, 72.4%, and the gas uniformity is 0.9744. (4) When the high cell density radius is 20 mm, NO conversion rate reaches the highest, 72.1%, and the gas uniformity is 0.9783. (5) When the tapered end face radius is 20 mm, NO conversion rate reaches the highest, 72.0%, and the gas uniformity is 0.9784. The results will provide a very important reference value for improving NO catalytic and reducing vehicle emission.

Microcystins (MCs) are produced during the growth and proliferation of some species of cyanobacteria, mainly Microcystis aeruginosa, which has massive growth in eutrophic water bodies. Microcystins are highly toxic metabolites derived from some cyanobacteria species that exert its main effect in the liver through the inhibition of protein phosphatase (PP1 and PP2A). However, other damages in fish species are less documented and could be unexpected. The aim of the current study was to evaluate the effects of Microcystis aeruginosa extract (MaE) into the central nervous system (CNS) of the Nile tilapia. The MaE was normalized by MCs content (MC-LR). We include a positive control for protein phosphatase inhibition, norcantharidin intraperitoneally dosed at sublethal levels. On the eighth day, measurement of neurotransmission biomarkers (AChE, BChE, CbE, and GABA) were measured, as well as levels of mitochondrial calcium and the mitochondrial membrane potential by flow cytometry in the brain and spinal cord were assessed, in addition to the PP1/PP2A activity in the liver. The MCs elicited mortality at 5 µg/L. The positive control and MCs at sublethal levels inhibited the PP1/PP2A activity in the liver and induced alterations in the neurotoxicity biomarkers evaluated in the CNS. This response is probably due to the disruption of transport ions, dependent and independent of ATP because of alterations in the mitochondrial membrane potential and mitochondrial calcium. The findings of this study suggest that pollutants capable of inducing cyanobacterial blooms are able, in an indirect way, to exert neurotoxic effects in fish species through MC levels.

Roles of bulk-, micron-, and nano-copper oxide (CuO) on methane production, microbial diversity, functions during thermophilic anaerobic digestion (AD) were investigated in this study. Results showed that bulk-, micron-, and nano-CuO promoted methane production by 27.8%, 47.6%. and 83.1% compared to the control group, respectively. Microbial community analysis demonstrated that different particle sizes could cause various shifts on bacteria community, while had little effect on archaeal diversity. Thereinto, bacteria belonging to phylum Firmicutes and Coprothermobacterota dominated in enhanced hydrolysis process in groups with nano-CuO and bulk-CuO, respectively, while micron-CuO had stronger promotion on the abundances of hydrolytic and fermentative bacteria belonging to families Peptostreptococcaceae, Caloramatoraceae, Erysipelotrichaceae, and Clostridiaceae, than other two CuO sizes. Metabolic pathways revealed that energy-related metabolism and material transformation in bacteria were only boosted by micron-CuO, and nano-CuO and bulk-CuO were important to methanogenic activity, stimulating energy consumption and methane metabolism, respectively.

Microplastics are widely distributed in the environment, raising significant concerns owing to their potential negative effects on humans. Zebrafish were used in this study to assess the toxicity of microplastic exposure. Adult zebrafish were exposed to polyethylene (PE) microplastics with smooth clustered sphere shapes and diameters of 75–100 µm for 35 days. Survival rates of the zebrafish were not significantly affected, whereas growth rates were. Analyses on oxidative stress-related enzyme activities showed that glutathione (GSH), glutathione peroxidase (GSH-PX), and glutathione s-transferase (GST) production in the intestines was stimulated when exposed to low concentrations of microplastics (0.1 and 1 mg/L), while superoxide dismutase (SOD), catalase (CAT), GSH, and GSH-PX production was suppressed when exposed to 10 mg/L microplastics. Enzyme activities in the muscles were much less affected. Intestinal injuries and changes in colony structure in the intestines were observed in zebrafish following exposure to microplastics. After 35 days of exposure, concurrent exposure to microplastics and Aeromonas hydrophila did not increase zebrafish mortality compared with those challenged by bacteria alone. This study confirms that intestinal enzyme activities of zebrafish are altered by exposure to PE microplastics but mortality and bacterial infection were not significantly affected under the tested conditions.

The ocean economy and marine tourism policies are global economic concerns being looked at from a deeply holistic viewpoint. For South Asian countries, the ocean economy and marine tourism have successive socio-economic importance. The quantification of the ocean economy and marine tourism also poses some major challenges, and these challenges pose limitations for policymaking by the government and other relevant agencies. The study has used the newly developed hidden panel cointegration test, and the nonlinear panel autoregressive distributed lag (NPARDL) model for a relationship between economic growth and tourism is assessed. This study offers consistent and reliable results of cointegration by incorporating the findings of four approaches to cointegration. The empirical results illustrate the asymmetric relationship between ocean and marine tourism and economic growth. The findings showed that 1% increase in long-term tourism economic growth is adjusted by 2.95% annually. This research paper aims to provide a policy related to South Asia’s economic activities and ocean and marine tourism economic significance. Protecting local marine protected areas (MPAs) will improve the economic benefits of the ocean and the marine economy. The policy suggests that there should be a law ensuring that marine tourism is of high quality and environment friendly. This paper provides a guideline for further research with a strong emphasis on ocean- and marine-related economic development and tourism.

Biomonitoring of least disturbed areas is a crucial issue to accurately assess the ecological status of surface waters and ensure their sustainability. Diatom metrics are important tools for the assessment of environmental conditions of lotic ecosystems to achieve environmental sustainability. The present study was aimed to evaluate the ecological status of least disturbed areas in the Antalya River basin (Turkey) using diatom indices developed from different ecoregion. Diatom species such as Cymbella excisa, Achnanthidium minutissimum, Cocconeis euglypta, and Cocconeis placentula were the most contributing species to the dissimilarity of sampling stations between rainy and dry seasons. The first two axes of canonical correspondence analysis (CCA) elucidated a strong (86%) correlation between diatom taxa and stressors. Results of the Monte Carlo permutation test indicated that total phosphorus (TP), water temperature, Tin (Sn), total organic carbon, zinc, and pH are significantly influential ecological factors on the distribution of diatom taxa among sampling stations. The Spearman correlation rank test indicated that diatom indices had significant positive and negative correlations with TP gradient. Results revealed that diatom indices developed from different ecoregions have different scores for the eco-assessment of similar sampling stations. European diatom indices mostly showed similar behavior in the bioassessment of the ecological status of rivers in the Antalya region compared to the different ecoregion. Among European diatom indices, TIT was more competitive and could give better results in the bio-evaluation of rivers in the Antalya River basin. Using diatom indices developed from different ecoregions may lead to an erroneous assessment of water quality. Accordingly, ecoregional specific diatom metrics are needed to accurately determine the surface water quality. Eco-assessment of least disturbed areas of the Antalya River basin: application of diatom indices from different ecoregions: Abuzer Çelekli, Ömer Lekesiz, Tolga Çetin