Fe-based modified activated carbon prepared by impregnation was used for adsorbents in Hg 0 purification.The influence of carriers, active components, FeCl 3 solution concentration and calcination temperature, were investigated for Hg 0 adsorption purification. The effects of the preparation conditions on the adsorbent were characterized by N 2 adsorption-desorption isotherms, scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD) and (FTIR). The samples modified with FeCl 3 showed an obvious performance for Hg 0 removal, because the chlorine in metal chlorides acts as an oxidant that promotes the conversion of elemental mercury (Hg 0 ) into its oxidized form (Hg 2+ ). The mechanisms of mercury adsorption onto the Cl-impregnated activated carbon were proposed. The optimal conditions for adsorptive purification are an Fe 3+ concentration of 0.15 mol L À1 , calcination temperature of 300 C at an adsorption temperature of 40 C and carrier gas flow rate of 300 mL min À1 .

The experiment has study on the COD removal influence of the amoxicillin production wastewater of the feed water concentration, pH value, Activated carbon types, Adsorption time and active carbon dosage. The results show that 5g activated carbon mixed with 50ml of the wastewater that diluted 15 times, the pH value is 6, and adsorption for 60 min, the COD removal rates is up to 95.61% and the effluent COD value is 62.14 mg/L. It is far lower than the current the wastewater discharge standards in our country.

Neural network has obvious advantages on dealing with the uncertain problems with a huge amount of data. Some equipment’s faults performance of such characteristics that the date is abundant, and failure phenomenon is not explicit and uncertain. Then, it leads to being hard to diagnose the faults through the traditional diagnosis method in a short time. This paper will analysis the data feature and then build a model to deal with the qualitative data attributes in order that the BP network can use it smoothly. Calculation result shows that using this method, fault diagnosis can be simply and quickly. The paper also provides a new kind of composite way to figure out fault positions for the front-line operators based on experts’experience knowledge but not on measurement signals.

In this study, the biodegradable composite fiber contained different ratios of the compound antihypertensive drugs were electrospun.The morphology, chemical components, heat stability of the composite fibers were investigated.The results showed the diameters of the composite fibers decreased and their distributions tended to be much evener with the increase of the compound antihypertensive drugs content. Fourier Transform Infrared (FT-IR) showed the chemical components of the compound antihypertensive drugs had not changed when it was electrospun into the composite fibers. DSC results showed that the drugs lost their intrinsic crystallization and existed in amorphous state in the composite fibers and the heat stability of the composite were better than the pure drug.