Pore-scale identification of residual morphology and genetic mechanisms of nano emulsified vegetable oil in porous media using 3D X-ray microtomography.

The application of emulsified vegetable oil (EVO) has attracted widespread attention in environmental remediation. Residual morphology is an important factor affecting its migration and mass transfer. However, proper identification of the EVO residual morphology at pore-scale has still remained a challenging task. Hence, this study aimed to identify the residual morphology of nanoscale EVO (NEVO) through developing a method combining natural breaks with 3D X-ray microtomography, then further explore the genetic mechanism of each residual morphology to verify the rationality of this method. The results showed that the natural breaks method can effectively classify the residual morphology of NEVO. Four morphologies including cluster, throat, corner, and membrane state were obtained from coarse, medium, and fine sands with a total proportion of 18.3%, 26.2%, and 30.8%. The cluster state was the main residual morphology, accounting for 10.0- 16.2%, then followed by corner-throat state and membrane state. Pore radius, throat radius, and length were confirmed providing sufficient evidences for cluster residues, because these factors determined the connectivity of porous media for the trapping of droplets. Comparison of the theoretical and actual results implied that capillarity coupling pore-throat shape jointly controlled corner and throat residues. Grain surface roughness and specific surface area were the main factors of membrane residue. The different residual morphologies of NEVO identified by the natural breaks method can reasonably explain their magnitude and controlling mechanisms, which in turn confirms the rationality of this method. Although the proportions of each form are related to the experimental conditions, the classification method and mechanism are of great significance for understanding NEVO residues.

Sensitivity assessment of denitrifying bacteria against typical antibiotics in groundwater.

The effects of antibiotics on nitrate denitrification in groundwater have acquired growing concern. Denitrification is a microbially mediated process. The effects of antibiotics on denitrification were mainly reflected in denitrifying bacteria. However, little is known about the relationship between antibiotics and denitrifying bacteria. Based on this, both direct antimicrobial susceptibility testing and microbial batch-culture experiments were conducted to assess the influences of typical antibiotics on denitrifying groundwater bacteria, mainly Pseudomonas (46.17%). Denitrifying bacteria, screened from a long-term groundwater denitrification environment, were tested for sensitivity to five typical antibiotics in groundwater: sulfamethoxazole (SMX), erythromycin (ERY), enrofloxacin (ENR), clindamycin (CLI), and tetracycline (TCY). The results showed that the sensitivity of denitrifying bacteria to antibiotics is mainly related to the type and concentration of antibiotics. For antibiotic types, the order of sensitivity by quantitative assessment is ENR > TCY > SMX > ERY > CLI. Fluoroquinolones (FQs) represented by ENR were selected to explore their concentration effects. The influences on denitrifying bacteria were divided into the high concentration effect (500 µg L-1 to 100 mg L-1) and the low concentration effect (100 ng L-1 to 10 µg L-1) with about 100 µg L-1 as a boundary. Exposure to high concentrations had significant inhibitory effects on bacterial growth and exhibited dose dependency, especially for ciprofloxacin (CIP). The low concentration effect was independent of concentration, which may be stimulation or inhibition. The stimulation mainly occurred due to ENR-exposure. For inhibitory effects, Lomefloxacin (LOM) was more effective than other FQs. Especially for inhibition at ng-level exposure, LOM and norfloxacin (NOR) exposures led to the highest and lowest inhibition rates, respectively.