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Hebei United University

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Ge M.,Hebei United University
Cuihua Xuebao/Chinese Journal of Catalysis | Year: 2014

A visible-light-driven Ag3PO4 catalyst was successfully synthesized by a facile ion-exchange route. The as-synthesized Ag3PO4 was characterized by X-Ray diffraction (XRD), field-emission scanning electron microscopy, N2 adsorption-desorption, UV-Vis diffuse reflectance spectroscopy and Fourier transform infrared spectroscopy. Under visible light irradiation, the Ag3PO4 catalyst showed excellent photocatalytic activity for rhodamine (RhB) degradation, but was poor at degrading methyl orange (MO) because of lower adsorption of MO molecules onto the surface of the Ag3PO4. The photodegradation of RhB and MO was achieved by holes and O2 ·- radical attack in the Ag3PO4 suspension. The photodegradation of MO over the Ag3PO4catalyst was greatly enhanced in the presence of RhB owing to greater production of O2 ·-radicals. © 2014, Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.


Lin H.,University of Electronic Science and Technology of China | Chen W.,Hebei United University | Ding H.,University of Electronic Science and Technology of China
PLoS ONE | Year: 2013

The structure and activity of enzymes are influenced by pH value of their surroundings. Although many enzymes work well in the pH range from 6 to 8, some specific enzymes have good efficiencies only in acidic (pH<5) or alkaline (pH>9) solution. Studies have demonstrated that the activities of enzymes correlate with their primary sequences. It is crucial to judge enzyme adaptation to acidic or alkaline environment from its amino acid sequence in molecular mechanism clarification and the design of high efficient enzymes. In this study, we developed a sequence-based method to discriminate acidic enzymes from alkaline enzymes. The analysis of variance was used to choose the optimized discriminating features derived from g-gap dipeptide compositions. And support vector machine was utilized to establish the prediction model. In the rigorous jackknife cross-validation, the overall accuracy of 96.7% was achieved. The method can correctly predict 96.3% acidic and 97.1% alkaline enzymes. Through the comparison between the proposed method and previous methods, it is demonstrated that the proposed method is more accurate. On the basis of this proposed method, we have built an online web-server called AcalPred which can be freely accessed from the website (http://lin.uestc.edu.cn/server/AcalPred). We believe that the AcalPred will become a powerful tool to study enzyme adaptation to acidic or alkaline environment. © 2013 Lin et al.


Wang X.,University of Georgia | Wang X.,Hebei United University | Tang H.,University of Georgia | Paterson A.H.,University of Georgia
Plant Cell | Year: 2011

Whole genome duplication ~70 million years ago provided raw material for Poaceae (grass) diversification. Comparison of rice (Oryza sativa), sorghum (Sorghumbicolor), maize (Zeamays), and Brachypodium distachyon genomes revealed that one paleoduplicated chromosome pair has experienced very different evolution than all the others. For tens of millions of years, the two chromosomes have experienced illegitimate recombination that has been temporally restricted in a stepwisemanner, producing structural stratification in the chromosomes. These strata formed independently in different grass lineages,with their similarities (low sequence divergence between paleo-duplicated genes) preserved in parallel for millions of years since the divergence of these lineages. The pericentromeric region of this homeologous chromosome pair accounts for two-thirds of the gene content differences between themodern chromosomes. Both intriguing and perplexing is a distal chromosomal region with the greatest DNA similarity between surviving duplicated genes but also with the highest concentration of lineage-specific gene pairs found anywhere in these genomes and with a significantly elevated gene evolutionary rate. Intragenomic similarity near this chromosomal terminusmaybeimportant in hom(e)ologouschromosome pairing.Chromosome structural stratification, together with enrichment of autoimmune response-related (nucleotide binding site-leucine-rich repeat) genes and accelerated DNA rearrangementandgene loss,conferastrikingresemblanceof thisgrasschromosomepair tothe sexchromosomes of other taxa. © American Society of Plant Biologists.


Lin H.,University of Electronic Science and Technology of China | Chen W.,Hebei United University
Journal of Microbiological Methods | Year: 2011

The thermostability of proteins is particularly relevant for enzyme engineering. Developing a computational method to identify mesophilic proteins would be helpful for protein engineering and design. In this work, we developed support vector machine based method to predict thermophilic proteins using the information of amino acid distribution and selected amino acid pairs. A reliable benchmark dataset including 915 thermophilic proteins and 793 non-thermophilic proteins was constructed for training and testing the proposed models. Results showed that 93.8% thermophilic proteins and 92.7% non-thermophilic proteins could be correctly predicted by using jackknife cross-validation. High predictive successful rate exhibits that this model can be applied for designing stable proteins. © 2010 Elsevier B.V.


Wang M.-M.,Nankai University | Wang M.-M.,Hebei United University | Yan X.-P.,Nankai University
Analytical Chemistry | Year: 2012

Graphene oxide (GO) has received great interest for its unique properties and potential diverse applications. Here, we show the fabrication of GO nanosheets incorporated monolithic column via one-step room temperature polymerization for capillary electrochromatography (CEC). GO is attractive as the stationary phase for CEC because it provides not only ionized oxygen-containing functional groups to modify electroendoosmotic flow (EOF) but also aromatic macromolecule to give hydrophobicity and π-π electrostatic stacking property. Incorporation of GO into monolithic column greatly increased the interactions between the tested neutral analytes (alkyl benzenes and polycyclic aromatics) and the stationary phase and significantly improved their CEC separation. Baseline separation of the tested neutral analytes on the GO incorporated monolithic column was achieved on the basis of typical reversed-phase separation mechanism. The precision (relative standard deviation (RSD), n = 3) of EOF was 0.3%, while the precision of retention time, peak area, and peak height for the tested neutral analytes were in the range of 0.4-3.0%, 0.8-4.0%, and 0.8-4.9%, respectively. In addition, a set of anilines were well separated on the GO incorporated monolith. The GO incorporated monolithic columns are promising for CEC separation. © 2011 American Chemical Society.


Chen W.,Hebei United University | Chen W.,Gordon Life Science Institute | Feng P.-M.,Hebei United University | Lin H.,University of Electronic Science and Technology of China | Chou K.-C.,Gordon Life Science Institute
Nucleic Acids Research | Year: 2013

Meiotic recombination is an important biological process. As a main driving force of evolution, recombination provides natural new combinations of genetic variations. Rather than randomly occurring across a genome, meiotic recombination takes place in some genomic regions (the so-called 'hotspots') with higher frequencies, and in the other regions (the so-called 'coldspots') with lower frequencies. Therefore, the information of the hotspots and coldspots would provide useful insights for in-depth studying of the mechanism of recombination and the genome evolution process as well. So far, the recombination regions have been mainly determined by experiments, which are both expensive and time-consuming. With the avalanche of genome sequences generated in the postgenomic age, it is highly desired to develop automated methods for rapidly and effectively identifying the recombination regions. In this study, a predictor, called 'iRSpot-PseDNC', was developed for identifying the recombination hotspots and coldspots. In the new predictor, the samples of DNA sequences are formulated by a novel feature vector, the so-called 'pseudo dinucleotide composition' (PseDNC), into which six local DNA structural properties, i.e. three angular parameters (twist, tilt and roll) and three translational parameters (shift, slide and rise), are incorporated. It was observed by the rigorous jackknife test that the overall success rate achieved by iRSpot-PseDNC was >82% in identifying recombination spots in Saccharomyces cerevisiae, indicating the new predictor is promising or at least may become a complementary tool to the existing methods in this area. Although the benchmark data set used to train and test the current method was from S. cerevisiae, the basic approaches can also be extended to deal with all the other genomes. Particularly, it has not escaped our notice that the PseDNC approach can be also used to study many other DNA-related problems. As a user-friendly web-server, iRSpot-PseDNC is freely accessible at http://lin.uestc.edu. cn/server/iRSpot- PseDNC. © The Author(s) 2013. Published by Oxford University Press.


Gamage McEvoy J.,University of Ottawa | Cui W.,Hebei United University | Zhang Z.,University of Ottawa
Applied Catalysis B: Environmental | Year: 2013

An adsorptive photocatalyst composite based on Ag/AgCl and activated carbon was proposed and investigated. The prepared composite was synthesized using impregnation-precipitation-photoreduction, and characterized by X-ray diffraction, transmission and scanning electron microscopies, X-ray photoelectron spectroscopy, N2 sorption, and ultraviolet-visible diffuse reflectance spectrophotometry. The photoactivity of the composite was studied for the degradation of methyl orange and phenol under visible light. A mechanism for synergistic adsorption and photocatalysis by Ag/AgCl-AC was proposed, where the silver acts as the electron/hole generator, and polarization of the photoinduced charges relative to AgCl facilitates electron-hole separation, while the AC works to concentrate the pollutant around the active sites. © 2013 Elsevier B.V.


Lee T.-H.,University of Georgia | Tang H.,J. Craig Venter Institute | Wang X.,University of Georgia | Wang X.,Hebei United University | Paterson A.H.,University of Georgia
Nucleic Acids Research | Year: 2013

Genome duplication (GD) has permanently shaped the architecture and function of many higher eukaryotic genomes. The angiosperms (flowering plants) are outstanding models in which to elucidate consequences of GD for higher eukaryotes, owing to their propensity for chromosomal duplication or even triplication in a few cases. Duplicated genome structures often require both intra- and intergenome alignments to unravel their evolutionary history, also providing the means to deduce both obvious and otherwise-cryptic orthology, paralogy and other relationships among genes. The burgeoning sets of angiosperm genome sequences provide the foundation for a host of investigations into the functional and evolutionary consequences of gene and GD. To provide genome alignments from a single resource based on uniform standards that have been validated by empirical studies, we built the Plant Genome Duplication Database (PGDD; freely available at http://chibba.agtec.uga.edu/duplication/), a web service providing synteny information in terms of colinearity between chromosomes. At present, PGDD contains data for 26 plants including bryophytes and chlorophyta, as well as angiosperms with draft genome sequences. In addition to the inclusion of new genomes as they become available, we are preparing new functions to enhance PGDD. © The Author(s) 2012.


Lin H.,University of Electronic Science and Technology of China | Lin H.,Gordon Life Science Institute | Deng E.-Z.,University of Electronic Science and Technology of China | Ding H.,University of Electronic Science and Technology of China | And 4 more authors.
Nucleic Acids Research | Year: 2014

The σ54 promoters are unique in prokaryotic genome and responsible for transcripting carbon and nitrogen-related genes. With the avalanche of genome sequences generated in the postgenomic age, it is highly desired to develop automated methods for rapidly and effectively identifying the σ54 promoters. Here, a predictor called 'iPro54-PseKNC' was developed. In the predictor, the samples of DNA sequences were formulated by a novel feature vector called 'pseudo k-tuple nucleotide composition', which was further optimized by the incremental feature selection procedure. The performance of iPro54-PseKNC was examined by the rigorous jackknife cross-validation tests on a stringent benchmark data set. As a user-friendly web-server, iPro54-PseKNC is freely accessible at http://lin.uestc.edu.cn/server/iPro54-PseKNC. For the convenience of the vast majority of experimental scientists, a step-by-step protocol guide was provided on how to use the web-server to get the desired results without the need to follow the complicated mathematics that were presented in this paper just for its integrity. Meanwhile, we also discovered through an in-depth statistical analysis that the distribution of distances between the transcription start sites and the translation initiation sites were governed by the gamma distribution, which may provide a fundamental physical principle for studying the σ54 promoters. © 2014 The Author(s).


Patent
Hebei United University | Date: 2015-06-24

A dechlorinating agent for blast furnace top gas prepared by the steps of: Selecting industrial limestone, commercial sodium carbonate and potassium hydroxide; Soaking the raw industrial limestone in a potassium hydroxide solution, wherein the concentration of the potassium hydroxide solution is 10%-15%; Heating the soaked limestone at 700 C. for calcination; Grinding the light-burned limestone obtained by calcining the limestone and sodium carbonate until the particle size is below 20 m; Mixing the light-burned limestone and the sodium carbonate at a proportion of 30-70:70-30 for 10-15 min; Grinding the resultant mixture by milling process until the particle sizes of all powders are less than 80 m; Adding 3% bentonite in the prepared mixing powder and fully mix the mixture; Pelletizing the mixture with atomized water using a disc pelletizer; and selecting pellets of 3-10 mm in size; Drying the said pellet naturally or at a temperature below 100 C.

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