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Xinzhong Deng,Yao-wu Wang,Jianping Peng,Kejia Liu,Nai-xiang Feng,Yuezhong Di 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.2
A facile cathodic electrodeposition process was developed to prepare Mg(OH)2/Graphene nanocomposites (MGN), which was used to remove Congo Red (CR), an anionic dye from aqueous solution. The morphology and phase structure were analyzed by transmission electron microscopy (TEM), X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET), Raman and X-ray photoelectron spectroscopy (XPS). The effects of experimental parameters, such as graphene content, adsorption time, initial concentrations of CR and pH values, on the adsorption capacity of CR were studied. The obtained MGN shows the good performance in CR, with an adsorption capacity of 1986.43 mg g-1. The equilibrium adsorption and kinetics data fit with Langmuir isotherm and the pseudo-second-order model, respectively. Thermodynamic data suggest that CR adsorption onto MGN is spontaneous (ΔG0 : –9.62 kJ mol-1 at 313 K, endothermic (ΔH0 : 36.261 kJ mol-1) and the degree of disorder increased (ΔS0 : 146.848 J moL-1 K-1) at the solidsolution interface. Moreover, the adsorption activation energy (Ea: 38.929 kJ mol-1) of CR evaluated from the Arrhenius equation illustrates that it is a physical process. This adsorbent exhibits efficient adsorption properties and high recycling efficiency, making it a promising adsorbent for removing anionic dyes.
Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
Chambers, John C,Zhang, Weihua,Sehmi, Joban,Li, Xinzhong,Wass, Mark N,Van der Harst, Pim,Holm, Hilma,Sanna, Serena,Kavousi, Maryam,Baumeister, Sebastian E,Coin, Lachlan J,Deng, Guohong,Gieger, Christi Nature Publishing Group, a division of Macmillan P 2011 Nature genetics Vol.43 No.11
Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10<SUP>??8</SUP> to P = 10<SUP>??190</SUP>). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, including genes involved in biliary transport (ATP8B1 and ABCB11), glucose, carbohydrate and lipid metabolism (FADS1, FADS2, GCKR, JMJD1C, HNF1A, MLXIPL, PNPLA3, PPP1R3B, SLC2A2 and TRIB1), glycoprotein biosynthesis and cell surface glycobiology (ABO, ASGR1, FUT2, GPLD1 and ST3GAL4), inflammation and immunity (CD276, CDH6, GCKR, HNF1A, HPR, ITGA1, RORA and STAT4) and glutathione metabolism (GSTT1, GSTT2 and GGT), as well as several genes of uncertain or unknown function (including ABHD12, EFHD1, EFNA1, EPHA2, MICAL3 and ZNF827). Our results provide new insight into genetic mechanisms and pathways influencing markers of liver function.