Oil Spill Research Articles

Microbial assisted date palm nanocellulose isolation and the fabrication of hydrophobic bioaerogel for oil absorption application

This study introduces a novel approach by utilizing Aspergillus niger for the isolation of nanocellulose from date palm sheath fibers (DPSF), achieving significant nano-scale reduction and high yield efficiency. The enzymatic breakdown by Aspergillus niger efficiently reduced the fibers' size, achieving an 81.3 % transition to nano-scale (<100 nm) after 96 hours, with an impressive 84 % yield using 72 hours of fungal treatment. The isolated nanocellulose demonstrated superior thermal stability and zeta potential value of −32.5 mV indicates a stable colloidal suspension due to the electrostatic repulsion between nanocellulose particles. Triethoxymethylsilane (TEMS) modification of nanocellulose aerogel significantly improved mechanical strength from 0.0194 to 0.03614 N/mm². Treatment with 5 % TEMS reduced water absorption from 41.7 g/g to 11.3 g/g, enhancing hydrophobicity (water contact angle 136.21°) and shifting material preference away from water. TEMS-treated samples showed increased absorption capacities of up to 44.3 g/g for cooking oil and 57.6 g/g for motor oil, highlighting improved compatibility with non-polar substances. These advancements underscore a sustainable solution for oil spill remediation, offering significant potential in environmental conservation and recovery efforts.

Highly efficient and reusable polyacrylonitrile-based nanocomposite sorbents for oil spill removal

Nanostructured porous materials are desirable sorbents for separating and removing oil spills from water. This work examines the performance of the prepared efficient sorbents in the oil sorption process. Polyacrylonitrile (PAN) fibers served as the skeleton matrix, while glutaraldehyde and poly(vinyl alcohol) (PVA) served as cross-linking agents. The prepared polymer sorbents showed high adsorption capacity (12.47 g/g), porosity (95.41%) and low density (0.069 g/cm3). The incorporation of carbon nanostructures (nanotubes or graphene oxide) in the sorbent increased the adsorption capacity to 14.85 g/g. The hydrophobic nature of carbon nanotubes significantly increases the contact angle of water with the surface of the nanocomposite absorber and reaches 137.5 degrees. The obtained sorbents showed good reusability in the adsorption process and maintained an adsorption capacity of about 10 g/g after 5 cycles. The optimal temperature range for using nanocomposite sorbents was 25°C to 35°C. The combination of high sorption capacity, low porosity and density in modified polyacrylonitrile, along with its reusability, makes this designed sorbent highly suitable for efficient removal of oil spills.

Self‐healing, low oil leakage and recyclable thermally conductive Al2O3/boron nitride@siloxane composites based on reversible dynamic network

AbstractIn order to overcome the commercialized silicone‐based thermal interface materials' issues such as oil leakage and mechanical damage, we developed a thermoset silicone rubber matrix (SR) achieved through the condensation reaction of hydroxyl silicone oil and tetraethyl silicate. Additionally, we constructed a self‐healing and recyclable silicone rubber matrix (SCNR) by incorporating heat reversible ionic and hydrogen bonds between carboxyl and amino functionalized polydimethylsiloxane. Finally, the flexible, low oil leakage, self‐healing, and recyclable composites Al2O3/BN@SR/SCNR was prepared by adjusting the ratio of SR/SCNR and the spherical alumina and boron nitride (BN) fillers. The results indicated that with SR/SCNR mass ratio of 1/0.075 and filler content of 70 wt%, the thermal conductivity of the composite reaches 1.866 W m−1 K−1, 646% increasing over the SR/SCNR matrix. The self‐healing efficiency reaches 97% and the thermal conductivity remains essentially unchanged after being recycled for three times. The composites can be bent and twisted multiple times and still return to their original shape. Notably, the oil leakage of the Al2O3/BN@SR/SCNR composites is significantly lower than that of additive silicone composites. Therefore, the recyclable thermal conductivity composite developed in this study provides a promising solution for improving the durability of heat dissipation materials in electronic devices.

Ten years of oil pollution detection in the Eastern Mediterranean shipping lanes opposite the Egyptian coast using remote sensing techniques

The Eastern Mediterranean region, a vital conduit for global maritime trade, faces significant environmental challenges due to marine pollution, particularly from oil spills. This is the first study covering the long period of comprehensive monitoring of oil pollution using the full mission of Sentinel-1 Synthetic Aperture Radar (SAR) data in the Mediterranean Sea, so this research aims to detect and analyze comprehensively the occurrence of oil spills in the Eastern Mediterranean over a decade (2014–2023). This study focuses on identifying geographical distribution patterns, proximity to shorelines, frequency across maritime zones, and potential sources of these spills, especially around major ports and maritime routes. This study utilizes SAR data from the Sentinel-1 satellite. The methodology included automated detection algorithms within the Sentinel application platform (SNAP) and integration with GIS mapping to study oil spill patterns and characteristics. Over 1000 Sentinel-1 scenes were investigated in the northern Mediterranean waters off the coast of Egypt, to detect and analyze 355 oil spill events with a total impacted area of more than 6000 km2. The analysis of temporal spill distribution reveals significant fluctuations from year to year. Within the entire timeline of the study, 2017 had the largest spatial areas covering one thousand square kilometers. In contrast, the single largest spill recorded during the study period occurred in 2020, covering 198.73 square kilometers. The results identified a non-uniform distribution of oil spills and primarily exhibiting elongated patterns aligned with the navigation routes. The distinct increase of oil spill incidents was within the Exclusive Economic Zone (EEZ), obviously drifted to the coastline and around major ports. The study emphasizes the critical role of remote sensing technologies in addressing environmental challenges caused by the maritime transport sector, advocating for enhanced monitoring and regulatory enforcement to protect marine ecosystems and support sustainable naval activities. The findings highlight the urgent need for targeted continuous monitoring and rapid response strategies in high-traffic maritime areas, particularly around the EEZ and major ports.

Exposure of Polycyclic Aromatic Hydrocarbons (PAHs) and Crude Oil to Atlantic Haddock (Melanogrammus aeglefinus): A Unique Snapshot of the Mercapturic Acid Pathway.

Fish exposed to xenobiotics like petroleum-derived polycyclic aromatic hydrocarbons (PAHs) will immediately initiate detoxification systems through effective biotransformation reactions. Yet, there is a discrepancy between recognized metabolic pathways and the actual metabolites detected in fish following PAH exposure like oil pollution. To deepen our understanding of PAH detoxification, we conducted experiments exposing Atlantic haddock (Melanogrammus aeglefinus) to individual PAHs or complex oil mixtures. Bile extracts, analyzed by using an ion mobility quadrupole time-of-flight mass spectrometer, revealed novel metabolites associated with the mercapturic acid pathway. A dominant spectral feature recognized as PAH thiols set the basis for a screening strategy targeting (i) glutathione-, (ii) cysteinylglycine-, (iii) cysteine-, and (iv) mercapturic acid S-conjugates. Based on controlled single-exposure experiments, we constructed an interactive library of 33 metabolites originating from 8 PAHs (anthracene, phenanthrene, 1-methylphenanthrene, 1,4-dimethylphenanthrene, chrysene, benz[a]anthracene, benzo[a]pyrene, and dibenz[a,h]anthracene). By incorporation of the library in the analysis of samples from crude oil exposed fish, PAHs conjugated with glutathione and cysteinylglycine were uncovered. This qualitative study offers an exclusive glimpse into the rarely acknowledged mercapturic acid detoxification pathway in fish. Furthermore, this furnishes evidence that this metabolic pathway also succeeds for PAHs in complex pollution sources, a notable discovery not previously reported.

Anti-fouling ternary zwitterionic coating membrane with strong surface hydration and salt resistant for efficient long-term emulsion separation in high salinity marine environment

Membrane separation has been acknowledged as an advanced technology to handle the oil spills. However, most of the superhydrophilic/underwater superhydrophobic membranes currently applied for oil/water separation would lose their superwettability when exposed to salty marine environments, leading to serious membrane plugging and separation performance deterioration. Herein, inspired by seawater fish and mussels, a simple, green, and versatile one-step co-deposition strategy is proposed for fabricating a ternary zwitterionic coating with strong surface hydration on diverse membranes, showing excellent anti-fouling properties in high salinity environments, even in the saturated NaCl solution. Moreover, the modified membrane performs well in the long term when separating surfactant-stabilized oil-in-seawater emulsion and with impressive recyclability. The ternary zwitterionic coating membrane exhibits great potential in treating oily wastewater in marine.

Vertically Grown Bioinspired Diphenylalanine Nanowire-Coated Fabric for Oil-Water Separation.

Due to the pervasive use of oil for energy and other industrial applications, solutions to oil-water separation have received a great deal of attention lately to address the environmental damage of oil spills and groundwater contamination. However, many of these separation methods are materially expensive and environmentally hazardous, require elaborate fabrication, or rely on large amounts of energy to function. Herein, we provide an effective low-cost method for oil-water separation based on the hydrophobicity induced by self-assembled bioinspired diphenylalanine peptide nanowires grown on polyester fabric. This modified polyester fabric mesh exhibits parahydrophobicity and oleophilicity due to the hierarchical nano-to-microscale surface roughness. This mesh also achieves consistent high water separation efficiencies of over 99% and an ultrahigh oil flux of up to 26.7 ± 5 kLm-2·h-1. The growth of bioinspired peptide-based nanostructures on fabrics using facile technique and their application in oil-water separation presents the potential for using bioinspired materials for environmental remediation while minimizing environmental footprint.

A Green Approach to Oil Spill Mitigation: New Hybrid Materials for Wastewater Treatment.

This study focuses on the development of adsorptive materials to retain degraded 5w40 motor oil. The materials were prepared using xanthan (XG) and XG esterified with acrylic acid (XGAC) as the polymeric matrix. LignoBoost lignin (LB), LB esterified with oleic (LBOL), stearic acid (LBST) and montmorillonite (CL) were added into XG and XGAC matrices to obtain the adsorbents. Adsorption experiments revealed that XG/CL/LBOL had the highest adsorption capacity at 46.80 g/g, followed by XGAC/CL at 45.73 g/g, and XG/CL at 37.58 g/g. The kinetic studies, employing the pseudo-second-order (PSO) model, indicated rapid sorption rates with a good correlation to experimental data. FTIR spectra analysis have evidenced the physical nature of adsorption process, involving interactions such as hydrogen bonding, van der Waals forces, and π-π interactions. Equilibrium data fitting to the Henry, Freundlich, and Temkin isotherm models showed that the adsorption occurs within materials diverse pore structures, enhancing oil retention. Structural parameters like density, porosity, and surface area were pivotal, with XG/CL/LBOL showing the most favorable properties for high oil adsorption. Additionally, it was found that the adsorption efficiency was influenced by the material's morphology and the presence of chemical modifications. This comprehensive evaluation highlights the potential of these novel adsorptive materials for environmental remediation applications, offering an efficient and sustainable approach to reducing degraded motor oil pollution.

Synthesis of Activated Charcoal from Coconut Shell for the Removal of Crude Oil Spill

Crude oil spills have devastating effects on the environment, particularly aquatic ecosystems. The purpose of the present research is to determine whether dry coconut shells can be used as raw materials to make activated charcoal (AC) via pyrolysis and whether they can be utilized as natural sorbents to clean up crude oil spills. The UV-Vis spectrum of the synthesized CSAC shows distinct peaks at 230 and 260 nm, whereas the activated charcoal exhibits peaks at 231 and 261 nm. The FTIR spectra of the synthesized CSAC reveal a medium broad absorption peak at 3307.2 cm⁻¹, while the raw coconut shell's FTIR spectra show a medium sharp peak at 2945.3 cm⁻¹. The SEM images highlight the unique structural properties of CSAC, showcasing high porosity, varied pore sizes, rough surface topography, and the presence of micropores and mesopores. The chemical activation significantly increased the hydrophobicity of the adsorbent, creating CSAC with a much better adsorption capacity for crude oil removal, having a maximum adsorption capacity of 4840.0 mg/g and the highest percentage of crude oil removal at 99.9985%, as proven by batch experiments for different adsorbent dosages. The batch experimental results indicated that the percentage of crude oil removal increased with an increase in adsorbent dosage and contact time. Based on the correlation coefficients (R²) values (close to unity), it was generally observed that the plots match the Freundlich isotherm better than the Langmuir isotherm model. These findings have made the synthetic CSAC an attractive, useful, and environmentally friendly adsorbent.

Automatic Identification of Sunken Oil in Homogeneous Information Perturbed Environment through Fusion Image Enhancement with Convolutional Neural Network

With the development of the marine oil industry, leakage accidents are one of the most serious problems threatening maritime and national security. The spilt crude oil can float and sink in the water column, posing a serious long-term threat to the marine environment. High-frequency sonar detection is currently the most efficient method for identifying sunken oil. However, due to the complicated environment of the deep seabed and the interference of the sunken oil signals with homogeneous information, sonar detection data are usually difficult to interpret, resulting in low efficiency and a high failure rate. Previous works have focused on features designed by experts according to the detection environments and the identification of sunken oil targets regardless of the feature extraction step. To automatically identify sunken oil targets without a prior knowledge of the complex seabed conditions during the image acquisition process for sonar detection, a systematic framework is contrived for identifying sunken oil targets that combines image enhancement with a convolutional neural network (CNN) classifier for the final decision on sunken oil targets examined in this work. Case studies are conducted using datasets obtained from a sunken oil release experiment in an outdoor water basin. The experimental results show that (i) the method can effectively distinguish between the sunken oil target, the background, and the interference target; (ii) it achieved an identification accuracy of 83.33%, outperforming feature-based recognition systems, including SVM; and (iii) it provides important information about sunken oil such as the location of the leak, which is useful for decision-making in emergency response to oil spills at sea. This line of research offers a more robust and, above all, more objective option for the difficult task of automatically identifying sunken oils under complex seabed conditions.

Efficient solar-driven crude oil cleanup via graphene/cellulose aerogel with radial and centrosymmetric design

Frequent oil spills pose significant threats to ecosystems; therefore, strict requirements are needed for prompt remediation and reclamation of spilled oil. Influenced by the structure of coniferous trees and their water transport, this experiment used cellulose nanofiber (CNF), polyvinyl alcohol (PVA), and methyltrimethoxysilane (MTMS) to prepare radially centrosymmetric aerogels. By utilizing the in-situ polycondensation reaction of MTMS, CNF, and PVA were connected, and the hydrophobicity and mechanical properties of the aerogel were greatly enhanced. Furthermore, the introduction of graphene oxide (GO), enshrouded within the cross-linked network, engenders heightened photo-thermal effects. The resultant composite aerogel exhibits expeditious oil absorption under solar irradiation and radial layered channel architecture, significantly curtailing the crude oil absorption timeframe (achieving a maximum absorption capacity of 51.7 g/g). Moreover, it demonstrates superior performance in rapidly and repeatedly adsorbing highly viscous crude oil, surpassing existing literature. Notably, continuous absorption of high-viscosity crude oil is achieved by integrating the composite aerogel with a peristaltic pump. This study offers a novel approach to the absorption and retrieval of high-viscosity crude oil, broadening the potential application horizons of CNF-based aerogels within environmental remediation.

Investigating heavy metal concentrations in sea snakes (Elapidae: Hydrophiinae) as an outcome of oil spill exposure

This study reports the concentration of heavy metals in the tissues of stranded sea snakes that died as a result of exposure to an oil spill on the eastern coast of Sharjah, UAE. Given the limited occurrence of stranded sea snakes observed along Sharjah's eastern coast outside this spill incident, we are using strandings collected from the nearby Arabian Gulf coast of Sharjah to compare the levels of heavy metals in sea snakes affected by the oil spill against their non-oiled counterparts. The sample comprised 14 Arabian Gulf Coral Reef Sea Snakes (Hydrophis lapemoides), 6 Yellow-bellied Sea Snakes (Hydrophis platurus), and 4 Yellow Sea Snakes (Hydrophis spiralis). Overall, our results show significantly higher concentrations of Al, Cd, Pb, Cr, Mn, Fe, Ni, Cu and Zn in sea snakes that were mired in oil.

Integrating vision-based AI and large language models for real-time water pollution surveillance.

Water pollution has become a major concern in recent years, affecting over 2 billion people worldwide, according to UNESCO. This pollution can occur by either naturally, such as algal blooms, or man-made when toxic substances are released into water bodies like lakes, rivers, springs, and oceans. To address this issue and monitor surface-level water pollution in local water bodies, an informative real-time vision-based surveillance system has been developed in conjunction with large language models (LLMs). This system has an integrated camera connected to a Raspberry Pi for processing input frames and is further linked to LLMs for generating contextual information regarding the type, causes, and impact of pollutants on both human health and the environment. This multi-model setup enables local authorities to monitor water pollution and take necessary steps to mitigate it. To train the vision model, seven major types of pollutants found in water bodies like algal bloom, synthetic foams, dead fishes, oil spills, wooden logs, industrial waste run-offs, and trashes were used for achieving accurate detection. ChatGPT API has been integrated with the model to generate contextual information about pollution detected. Thus, the multi-model system can conduct surveillance over water bodies and autonomously alert local authorities to take immediate action, eliminating the need for human intervention. PRACTITIONER POINTS: Combines cameras and LLMs with Raspberry Pi for processing and generating pollutant information. Uses YOLOv5 to detect algal blooms, synthetic foams, dead fish, oil spills, and industrial waste. Supports various modules and environments, including drones and mobile apps for broad monitoring. Educates on environmental healthand alerts authorities about waterpollution.

Impactos socioambientais e psicossociais causados por derramamento de petróleo em Pescadores e Pescadoras Artesanais

ABSTRACT In August 2019, eleven Brazilian states were hit by an extensive oil spill. In this context: what are the main socio-environmental and psychosocial impacts caused by the oil spill on the lives of families and individuals who make their living from artisanal fishing? This is a research with mixed methods that used the following techniques: focus group and application of forms developed in a participatory manner with communities at the mouth of the Jaguaribe River, Ceará, and applied between July and August 2020. Its application was selected from a non-probabilistic sampling of the intentional type by judgment and was processed with the support of the IBM Statistical Package for Social Sciences (SPSS) software. The results indicate environmental impacts, such as: finding oil in the river and in animals; direct human exposure to oil; health symptoms after exposure; psychological effects; consumption of food resources such as fish and shellfish; and reduction in the income of Artisanal Fishermen and Fisherwomen. That way, it is understood that the lives, environment, health, and work of these populations were aggravated, especially those of socioeconomic, food and water security, and health orders.

Socio-environmental and psychosocial impacts caused by oil spills on Artisanal Fisherwomen and Fishermen

RESUMO Em agosto de 2019, 11 estados brasileiros foram atingidos por um extenso derramamento de petróleo. Nesse contexto, quais os principais impactos socioambientais e psicossociais causados pelo derramamento de petróleo na vida de famílias e indivíduos que vivem da pesca artesanal? Trata-se de uma pesquisa com métodos mistos que utilizou como técnicas: grupo focal e aplicação de formulários desenvolvidos de forma participativa com comunidades da foz do rio Jaguaribe, Ceará, e efetuados entre julho e agosto de 2020. Sua aplicação foi selecionada a partir de uma amostragem não probabilística do tipo intencional por julgamento, cujos dados foram processados com o suporte do software IBM Statistical Package for Social Sciences (SPSS). Os resultados indicam impactos ambientais, como: presença de óleo no rio e em animais; exposição humana direta ao petróleo; sintomas na saúde após exposição; efeitos psicológicos; consumo de recursos alimentares como peixes e crustáceos; e redução da renda dos Pescadores e Pescadoras Artesanais. Assim, compreende-se que a vida, o ambiente, a saúde e o trabalho dessas populações foram agravados, principalmente aqueles de ordens socioeconômicas, de segurança alimentar e hídrica e de saúde.

Bioremediation of contaminated soil by crude oil of Baiji refinery by extraction of the local dominant bacteria

Abstract In most communities, soil contamination is a problem as it affects people and the environment. Because oil spills on soil substantially impact the environment, accidental infusions and spills of ore oils frequently result in a complete or partial exchange of the soil pore fluid by oil-contaminated soils, altering the geotechnical engineering characteristics. Therefore, efficiently removing petroleum hydrocarbon pollutants from contaminated soil is urgently needed. A novel technique that is gaining popularity worldwide to clean up places polluted with petroleum hydrocarbons is known as bioremediation. This study browser the fundamental processes involved in bioremediation and removal efficiency of TPH (Total Petroleum Hydrocarbon) within different periods for (the Baiji refinery) which is polluted with crude oil as a result of numerous oil wells, oil drilling, pipeline, and storage tank damage, natural seepage, and spills during the conflict and Noory channel which content crude oil, waste of refinery process and sludge. The research aims to extract the dominant bacteria in the contaminated soil and use the last in bioremediation and find out the differences in its effectiveness in treating total petroleum hydrocarbons (TPH) later. The result indicates that the dominant bacteria are Stutzerimonas balearica and Bacillus subtilis which are used later in bioremediation and can digest TPH. The removal efficiency of TPH during the study period was 55, 65, 68, 78, 82, 85, and 92% for spilled samples and 50, 62, 66, 70, 80, 84, and 90% for the Noory channel, respectively.

Iranian mangrove degradation in oil spill from the 1990–91 Gulf War

Iranian mangrove degradation in oil spill from the 1990–91 Gulf War

Electrospun nanofibrous membranes based on fluorine-free polyimide for swift oil spill cleanup and emulsion separation

The urgent need to mitigate environmental damage caused by oil and organic pollutants in oil production industries and spill accidents necessitates effective removal methods. This study introduces novel nanofibrous membranes composed of fluorine-free polyimide, which was formed by electrospinning of BPADA-TrMPD, produced by polycondensation reaction in one-step and at high temperature using 4,4′-(4,4′-isopropylidenediphenoxy)bis-(phthalic anhydride) (BPADA) and 2,4,6-trimethyl-m-phenylenediamine (TrMPD). The resulting membranes exhibited a hydrophobic nature with a water contact angle of 114° and an oil contact angle of ∼ 0°. The adsorption performance of the nanofibers was explored using Saudi crude oil and non-polar organic solvents (i.e., n-hexane and dodecane). The developed membranes exhibited a crude oil uptake ranging from 35 to 60 g g−1 and demonstrated rapid removal capabilities, reaching equilibrium sorption capacity within a few minutes for crude oil. Moreover, these membranes displayed remarkable flux of 1991, 1508, and 206 L m−2h−1 for dodecane, n-hexane, and crude oil, respectively. The capability of the fluorine-free mats designed for oil spill cleanup was validated through its application in treating actual samples. The durability and recyclability of the membranes were showcased by regenerating them through mechanical treatment.

A solar-driven nanocellulose Janus aerogel with excellent floating stability and dual functions of oil–water separation and photocatalytic degradation of organic pollutants

Effective and practical cleanup of viscous crude oil spills is extremely important in real harsh marine environments. Herein, we designed a solar–driven, nanocellulose-based Janus aerogel (Janus-A) with excellent floating stability and dual function of oil–water separation and degradation of aqueous organic pollutants. Janus-A, with its amphiprotic nature, was prepared through polypyrrole (PPy) deposition, freeze-drying, octyltrichlorosilane (OTS) impregnation, TiO2 spraying on the bottom surface, and UV irradiation treatment. The photothermal conversion effect of PPy coating raised the surface temperature of aerogel to 75.8 °C within 6 min under one simulated solar irradiation, which greatly reduced the viscosity of the crude oil and increased the absorption capacity of the aerogel to 36.7 g/g. Benefiting from the balance between the buoyancy generated by the hydrophobic part and water absorption of the hydrophilic part, Janus-A showed excellent floating stability under simulated winds and waves. In addition, Janus-A exhibited high degradation efficiency for organic pollutants in water owing to the synergistic photocatalytic properties of TiO2 and PPy. These excellent performances make Janus-A ideal for integrated water–oil separation and water remediation.

Atuação de uma secretaria municipal de saúde diante do desastre-crime do petróleo em Pernambuco

ABSTRACT The 2019 oil disaster-crime is considered the largest disaster on the Brazilian coast. Given the frontline in disaster response, the municipal health secretariat is crucial in the disaster risk management process. This study aimed to analyze the performance of a municipal health secretariat in the metropolitan region of Recife, Pernambuco, regarding the 2019 oil spill, adopting a descriptive, qualitative case study. We performed content Analysis with the IRaMuTeQ software on interviews with health managers, and the results revealed four categories: municipal management in marine care; disaster risk governance and its absence; the COVID-19 syndemic and its impacts on the rehabilitation and recovery of oil disaster-affected communities; what to do if a disaster strikes again. In the municipality under study, we noted early organization of response actions, the lack of governance in the disaster-crime, and health management focus on COVID-19 syndemic, which were identified as difficulties and vulnerabilities in their actions, while continuing education and coordination with fishermen and shellfish gatherers were among the lessons learned.