In this paper, hierarchical Ag-decorated SnO2 microspheres were synthesized by a facile one-pot hydrothermal method. The resulting composites were characterized by XRD, SEM, TEM, XPS, BET, and FTIR analysis. The catalytic performances of the samples were evaluated with the reduction of 4-nitrophenol to 4-aminophenol by potassium borohydride (KBH4) as a model reaction. Time-dependent experiments indicated that the hierarchical microspheres assembled from SnO2 and Ag nanoparticles can be formed when the react time is less than 10 h. With the increase of hydrothermal time, SnO2 nanoparticles will self-assemble into SnO2 nanosheets and Ag nanoparticles decorated SnO2 nanosheets were obtained. When evaluated as catalyst, the obtained Ag-decorated SnO2 microsphere prepared for 36 h exhibited excellent catalytic performance with normalized rate constant (κ
nor) of 6.20 min−1g−1L, which is much better than that of some previous reported catalysts. Moreover, this Ag-decorated SnO2 microsphere demonstrates good reusability after the first five cycles. In addition, we speculate the formation mechanism of the hierarchical Ag-decorated SnO2 microsphere and discussed the possible origin of the excellent catalytic activity.Electronic supplementary materialThe online version of this article (doi:10.1186/s11671-017-2204-8) contains supplementary material, which is available to authorized users.
In this paper, a novel image encryption scheme based on analog-digital hybrid electro-optic chaotic sources and compressive sensing is proposed. Distinguished from other existing chaos-based encryption schemes, analog-digital hybrid electro-optic chaotic sources are utilized, in which the synchronization of chaotic systems can be achieved by transmitting binary digital bits. The robustness of the encryption scheme can be significantly improved and the theoretical transmission distance will be much longer because of digital chaos synchronization. Moreover, owing to the compression of compressive sensing and the sensitivity to initial values of chaotic sources, the proposed scheme can greatly reduce the amount of data and strengthen safety. Exhaustive simulations and analysis demonstrate that the proposed scheme is of good peculiarities such as high efficiency, good robustness and security.
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