Oxygen vacancy enhanced biomimetic superoxide dismutase activity of CeO_(2)-Gd nanozymes

Cerium oxide-based nanozymes have recently drawn much attention in the field of biomedical and antioxidant applications,because of their unique regenerative or autocatalytic properties.Herein,we studied the biomimetic superoxide dismutase(SOD)nanozymes CeO_(2)-Gd that combines the fluorescence properties of rare earth Gd with the antioxidant properties of CeO_(2)nanoparticles,which was prepared via facile route.The structure and composition of the CeO_(2)-Gd were measured and verified by X-ray powder diffraction(XRD),Raman spectroscopy,transmission electron microscopy(TEM),energydispersive X-ray spectroscopy(EDX),and X-ray electron spectroscopy(XPS).Confocal microscopy was used to image cells.Antioxidant performance and cell viability of these nanozymes were measured in vitro using BGC-803 cell.CeO_(2)-Gd nanozymes with a higher Ce^(3+)/Ce^(4+)ratio show higher superoxide dismutase(SOD)mimetic activity.Their antioxidant activity and fluorescence properties of CeO_(2)-Gd in BGC-803 cancer cells are enhanced by oxygen vacancies generated by doping rare-earth elements Gd.This work may guide the future design of CeO_(2)-Gd-based biomimetic nanozymes for anticancer and antioxidant applications.

Economic optimization on two time scales for a hybrid energy system based on virtual storage

This paper proposes an economic optimization method with two time scales for a hybrid energy system based on the virtual storage characteristic of a thermostatically controlled load(TCL). The optimization process includes two time scales in order to ensure accuracy and efficiency. Based on the forecast load and energy supply of the system, the first time scale is day-ahead economic operating optimization, carried out to determine the minimum operating cost for the whole day, and to find the period of greatest cost to which the second time scale optimization is applied. Using the virtual storage characteristic, the second time scale is short-term detailed optimization carried out for these particular hours. By dispatching thermal load in this period and adjusting energy supply accordingly, we can find the optimal economic performance, and customer requests are taken into account to ensure satisfaction. A case study in Tianjin, China illustrates the effectiveness of this method and proves that a TCL can make a great contribution to improving the economic performance of a hybrid energy system.