Bioremediation of diesel-contaminated saline soil and enhancement of microbial salinity tolerance by a biosurfactant-producing Bacillus subtilis AHV-KH11 and external surfactant application: bio-toxicity assessment. [PDF]
Barzegar G+7 more
europepmc +1 more source
This study explores microalgae cultivation for wastewater treatment and enhancement of poly lactic acid (PLA)‐based biocomposites. It achieves up to 99.9% nutrient removal, increases biomass productivity by 322%, and demonstrates a triphasic luxury phosphorus uptake system. Incorporation into PLA improves fire‐retardant properties, suggesting potential
Rohit Dey+9 more
wiley +1 more source
Isolation of the three xylenes from an Oklahoma petroleum
Joseph D. White, F.W. Rose
openalex +1 more source
Seasonal variation effect on different Physalis peruviana L. (Solanaceae) waste extracts and investigation of their efficacy against Culex pipiens and Musca domestica. [PDF]
Elhawary EA+6 more
europepmc +1 more source
The insect‐microbe interplay fulfills a key ecological role involving the degradation of ligninocellulose biomass. This is coordinated by the secretion of different kinds of proteins, of which ligninolytic enzymes, such as laccases (Lacs), are of prime importance.
Michael Dare Asemoloye+11 more
wiley +1 more source
Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models. [PDF]
Feizi R+4 more
europepmc +1 more source
Advances and Outlook of Nickel‐Based MOFs–LDHs Materials for Energy Conversion
In this graphical abstract, we present the pivotal gap between the activity and stability parameters as far as intergrated Ni‐based MOF/LDF electrocatalysts are concerned. For large scale application, these two parameters should be optimized and furthermore balanced in order to promote sustainable electrocatalytic hydrogen production.
Lincoln Einstein Kengne Fotso+4 more
wiley +1 more source
Density and thermal expansion of American Petroleum oils.
H.W. Bearce, Elmer L Peffer
openalex +1 more source
Correction: Formation permeability estimation using mud loss data by deep learning. [PDF]
Abdollahfard Y+4 more
europepmc +1 more source