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Dyes are widely used in leather, textile, papermaking, plastic and pharmaceutical industries, and their ensuing emission in wastewater poses a serious threat to aquatic system and human health. Therefore, it is of great significance to establish a method with efficient removal ability for a variety of dyes to ensure human and environmental health. In this study, a dye removal method based on photo-Fenton technology was established, in which Fe3 O4 / SnS2 was used as a photo-Fenton catalyst to construct the reaction system. The optimal Fe/Sn ratio of Fe3 O4 / SnS2 composite was investigated, and the mechanism of the constructed reaction was explored. The results showed that Fe3 O4 / SnS2 composites had the highest methylene blue (MB) removal efficiency when Fe/Sn ratio was 1.0. The obtained Fe3 O4 / SnS2 composites also had excellent degradation ability for methylene orange and Rhodamine B. At the same time, even after 5 photo-Fenton catalytic cycles, the degradation rate of MB was still more than 80%. The established method is helpful to realize the efficient removal of dyes in water environment and has practical application potential. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A rapid detection method for FQs based on fluorescence technology was established・ Graphene carbon quantum dots (GCDs) were used as fluorescent monomers to achieve quantitative detection of FQs through their fluorescence enhancement effect. Its application conditions in FQs detection were carefully studied. The preparation method of adding hydrogen peroxide to graphene aqueous solution・ The detection was carried out under the condition that the GCDs concentration was 50% and the incubation time was 10 min・ The GCDs could detect FQs linearly when the concentration of FQs was 0 〜50 pimol/L, and the detection limit of the method was between 0. 8 nmol/L and 2. 2 nmol/L for four different FQs. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Stochastic video signal refers to those video signals which had not obvious synchronous information, and the frequency and format of synchronous signal were unknown, and the synchronous signal might vary with the passage of time. Losing synchronous information was the main difficulty to reconstruct video image. This paper analyzed the video signal and video frame,and based on the strong correlation of the adjacent lines on a video frame, it put forward the method of correlation of stochastic video signal to reconstruct video image. Besides, it used the method of Hough transform to revise the reconstructed images. The experimental results validate the applicability and reliability of proposed method,and benefit stochastic video signal processing and application in video industrial production. [ABSTRACT FROM AUTHOR]