Decontamination of aqueous heavy metal is a challenging task of environmental remediation. Herein, we demonstrated an adsorptive method for efficient removal of aqueous Hg(II) using a magnetic nanocomposite Fe3O4/graphene oxide (Fe3O4/GO). Adsorption of Hg(II) onto Fe3O4/GO equilibrated in 4 min, with the adsorption percent and quantity of 91.17% and 547.01 mg g?1, respectively. Fe3O4/GO can be easily recovered from solution via magnetic separation for reuse, and retaining 73.5% of its original capacity after five consecutive cycles. The Temkin model and PSO model were most suitable for describing adsorption in equilibrium and non-equilibrium state, respectively. Both GO and Fe3O4 adsorbed Hg(II) via donating electrons in oxygen atoms toward Hg(II). Moreover, GO made a major contribution, while Fe3O4 made a minor one to adsorption. The facile preparation, high adsorption efficiency, easy recovery, and reusability may enable Fe3O4/GO to be a promising adsorbent for aqueous Hg(II).
In the present study, we developed a novel digital coding combination analysis (DCCA) to analyze the gene mutation based on the sample combination principle. The principle is that any numerically named sample is divided into two groups, any two samples are not grouped in the same two groups, and any sample can be tested within the detection limit. Therefore, we proposed a specific combination that N samples were divided into M groups. Then N samples were analyzed, which could obtain the mutation results of M mixed groups. If only two groups showed positive (mutant type) signals, the same sample number from two positive signal groups would be the positive sample, and the remaining samples were negative (wild type). If three groups or more exhibited positive results, the same sample number from three positive signal groups would be the positive sample. If some samples remained uncertain, individual samples could be analyzed on a small scale. In the present study, we used the two genotypes of a mutation site (A5301G) to verify whether it was a useful and promising method. The results showed that we could quantitatively detect mutations and demonstrate 100% consistent results against a panel of defined mixtures with the detection limit using pyrosequencing. This method was suitable, sensitive, and reproducible for screening and analyzing low-frequency mutation samples, which could reduce reagent consumption and cost by approximately 70–80% compared with conventional clinical methods. 相似文献
A series of BiOClxI1-x(x=0,0.1,0.3,0.5,0.7,0.9,1.0)photocatalysts was firstly prepared by means of a facile solvothermal route with the help of lactic acid.The measured results show that the morphologies of the as-prepared samples are similar sheets with different thickness and diameters.Thinner nanosheets assembled flower-like BiOCI0.5I0.5 solid solution exhibited the highest photocatalytic activity and stability among the prepared samples for the degradation of methylene blue(MB)and methyl orange(MO)under the illumination of visible light.The excellent photocatalytic properties of BiOCI0.5I0.5 could be attributed to the high specific surface area,the suita-ble band gap energy and the lower recombination rate of the electrons and holes.In addition,catalyst BiOCI0.5I0.5 was further used to degradate a more complicated mixed dye(MCH-RhB+MB)system under visible light,displaying an excellent photocatalytic activity.Finally,the photocatalytic mechanism of catalyst BiOCI0.5I0.5 to degradate colorful dyes was proposed.The trapping experiments of active species indicated that the holes are the main active species for the degradation of the mixed dyes. 相似文献
Research on Chemical Intermediates - Water pollution caused by heavy metals is a severe environmental issue. In this work, a graphene oxide–starch composite (GO/WS) was facilely prepared via... 相似文献