Cellulose nanocrystals (CNCs) with different degrees of amination to enhance tolerance to Fe (III) and enhance oil displacement performance.

Cellulose nanocrystals (CNCs) have been widely concerned in enhanced oil recovery (EOR) due to their abundant resources, small size and easy modification. In crude oil extraction, Fe (III) is increasingly produced. However, CNCs are very sensitive to Fe (III) and easy to aggregate, which brings obstacles to the application of CNCs.

Effect of salt ions (Na, Ca and Mg) and EOR anionic and nonionic surfactants on the dispersion stability of cellulose nanocrystals.

The application of cellulose nanocrystals (CNCs) in enhanced oil recovery (EOR) is a developing hotspot. To improve the stability of CNCs in salt environments, the effects of sodium dodecylbenzene sulfonate (SDBS) and polyoxyethylene sorbitan monooleate (Tween 80) on the stability of CNCs in the presence of sodium (Na), calcium (Ca) and magnesium (Mg) were investigated. The range of salt ions and the stability mechanism for improving the CNCs stability in the presence of SDBS and Tween 80 were pointed out.

Effect of Fe(III) Species on the Stability of a Water-Model Oil Emulsion with an Anionic Sulfonate Surfactant as an Emulsifier.

The stability of an emulsion has an important effect on enhancing oil recovery. However, the effect of ions with different valences on the stability of the emulsion emulsified by an ionic surfactant is not fully understood. In this study, the effects of Fe(III) species on the stability, microscopic morphology of droplets, interfacial properties, and rheological properties of water-model oil emulsions emulsified by sodium dodecyl benzenesulfonate (SDBS) were explored.

[MicroRNA-21 correlates TGF-β1 pathway of pancreatic ductal adenocarcinoma].

To conduct genetic analysis of pancreatic ductal adenocarcinoma tissues and analyze the correlation between targeted microRNA (miRNA) and pathways in pancreatic ductal adenocarcinoma.
 Methods: We collected 19 samples of peripheral venous blood serum from patients with pancreatic ductal adenocarcinoma in Hainan Provincial Hospital of Chinese Medicine, and also collected 21 blood serum samples as a control group of non-pancreatic ductal adenocarcinoma. We used the bioinformatics analysis of literature GCBI data platform for screening and analyzing the genetics of pancreatic ductal adenocarcinoma samples.