3 results match your criteria: "Shandong University 27 Shanda Nanlu[Affiliation]"
Chem Sci
May 2023
Shandong Provincial Key Laboratory for Science of Material Creation and Energy Conversion, Science Center for Material Creation and Energy Conversion, School of Chemistry and Chemical Engineering, Shandong University 27 Shanda Nanlu Jinan 250100 P. R. China
Two-dimensional (2D) materials are widely used as key components in the fields of energy conversion and storage, optoelectronics, catalysis, biomedicine, To meet the practical needs, molecular structure design and aggregation process optimization have been systematically carried out. The intrinsic correlation between preparation methods and the characteristic properties is investigated. This review summarizes the recent research achievements of 2D materials in the aspect of molecular structure modification, aggregation regulation, characteristic properties, and device applications.
View Article and Find Full Text PDFAm J Transl Res
April 2019
Shandong University 27 Shanda Nanlu, Jinan 250100, Shandong, China.
To investigate endoplasmic reticulum (ER) stress reactions in spinal cord injury rats by evaluating the expression of the glucose-regulated protein 78 (GRP78), C/EBP homologous transcription factor protein (CHOP), X-box binding protein 1 (XBP1), Eif-2α and Bad. SCI models were established using adult female mice. After SCI, the expression of endoplasmic reticulum stress-induced apoptosis proteins were examined in the mice at specific time points using immunohistochemistry and western blot.
View Article and Find Full Text PDFEnviron Sci Technol
May 2009
College of Environmental Science and Engineering Shandong University 27 Shanda Nanlu, Jinan, Shandong 250100, China.
Driving pressure and recovery are two primary design variables of a reverse osmosis process that largely determine the total cost of seawater and brackish water desalination. A two-step optimization procedure was developed in this paper to determine the values of driving pressure and recovery that minimize the total cost of RO desalination. It was demonstrated that the optimal net driving pressure is solely determined by the electricity price and the membrane price index, which is a lumped parameter to collectively reflect membrane price, resistance, and service time.
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