A microfluidic strategy of smart calcium alginate (CA) capsules is presented to immobilize Pseudomonas aeruginosa to treat oil slicks effectively. The capsule wall is embedded with poly (N-isopropyl acrylamide) sub-microspheres as thermo-responsive switches. CA capsules, with a diameter of 3.26 mm and a thin wall thickness about 12.8 μm, have satisfying monodispersity, cavity structure, and dense surface structures. The capsules possess excellent encapsulation of bacteria, which are fixed in a restricted space and become more aggregated. It overcomes the disadvantages of a long fermentation production cycle, easy loss of bacteria, and susceptibility to shear effect. The smart CA capsules immobilized with bacteria treat model wastewater containing soybean oil or diesel and display favorable fermentation ability. The capsules can effectively treat oil slicks with high concentration, and it is an economical way for processing oily wastewater. PRACTITIONER POINTS: A thermo-responsive calcium alginate capsule was prepared by microfluidic strategy. Pseudomonas aeruginosa is environmentally friendly in treating oil slicks. The capsules, immobilized bacteria, treat oil slicks effectively. This study provides an economical way for processing different oily water.
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http://dx.doi.org/10.1002/wer.11022 | DOI Listing |
Mar Pollut Bull
December 2024
Department of Petroleum and Natural Gas Engineering, Middle East Technical University, 06800 Ankara, Turkey.
Heavy oils, particularly in cold water, spread slowly and eventually stop at a certain film thickness, known as the terminal film thickness. A few studies have specifically addressed the conditions and physical mechanisms that terminate the spreading process. However, traditional models for oil spreading on calm water do not predict this behavior, which may be due to a net negative surface tension effect.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Gubkin Russian State University of Oil and Gas (National Research University), Moscow 119991, Russia; Kurnakov Institute of General and Inorganic Chemistry of the Russian Academy of Sciences, Moscow 119991, Russia.
This work reports on the first multi-scale NMR study of new plant-based herding agent suitable for application in Arctic marine environment. Using NMR spectroscopy the chemical components of the herding agent were established while through the NMR relaxometry and diffusometry the local dynamics, molecular mobility, and transport properties of the components were studied depending on water content upon dilution. MRI method was first applied to probe the effect of herder on freezing and thawing processes occurring in dodecane/water and light oil/water mixtures.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
To overcome the difficulty of estimating the oil slick thickness using remote sensing techniques, the feasibility of applying the proposed ultrasonic method for measuring the thickness of the oil slick in open water was experimentally investigated by conducting tests in various sea wave states. The second cross-correlation method was implemented to calculate the time of flight (TOF). The influences of sea waves on measurement accuracy were deeply evaluated by calculating the difference of the average thickness in the sea wave state compared with the average thickness in the calm sea state (no waves).
View Article and Find Full Text PDFEnviron Monit Assess
October 2024
Operational Oceanography Group, Oceanological Research Institute of the Autonomous University of Baja California (UABC), Ensenada, Baja California, México.
The coexistence of marine sensitive areas with the oil industry requires robust preparedness and rapid response capabilities for monitoring and mitigating oil spill events. Scientifically proven satellite-based methods for the visual detection of oil spills are widely recognized as effective, low-cost, transferable, scalable, and operational solutions, particularly in developing economies. Following meticulous design and implementation, we adopted and executed a relatively low-cost operational monitoring and alert system for oil spill detection over the ocean surface and alert issuance.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
International Institute for Earth System Science, Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210023, China.
Oils spilled into the ocean can form various weathered oils (non-emulsified oil slicks (NEOS), oil emulsions (OE)) which threaten the oceanic and coastal environments and ecosystems. Optical remote sensing has the unique ability to discriminate oil types and quantify oil volumes as their spectral contrasts with oil-free seawater. Here, a deep learning-based model is developed for identification, classification, and quantification of various oil types.
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