Fuzhou University is a university located in Fuzhou, China. Split into two campuses by the Min River, Fuzhou University's Old Campus is located on the north bank of the river in the western part of Fuzhou City, while the New Campus is located on the edge of the city on the south bank, at the base of Qi Mountain.The university excels in the fields of science and engineering nationally. It also has similar nationally recognized programs such as economics, management, arts and law. The university is part of the PRC national policy called Project 211 to enhance the development of the tertiary education system in mainland China. Wikipedia.
Zhang W.-B.,Fuzhou University
Renewable and Sustainable Energy Reviews | Year: 2012
Biodiesel is primarily obtained from the base catalyzed transesterification reaction of oils or fats. Biodiesel has become more attractive due to its characteristics of being bio-degradable, renewable and non-toxic. Recently biodiesel has been widely used as an alternative fuel. Biodiesel quality analysis has become very important because consistency and a higher quality are paramount to the success of its commercialization and market acceptance. Suitable and precise analytical methods are needed to meet this requirement. Some analytical techniques have been considered and applied in biodiesel analysis, such as Chromatography and Spectroscopy. Within the Spectroscopic technique, Infrared Spectroscopy has played an important role. Past reviews on analytical methods for biodiesel analysis were written by Knothe and Marcos Roberto Monteiro. In this paper, the author has discussed the developments in biodiesel quality analysis with IR technique. © 2012 Elsevier Ltd.
Xiao F.,Fuzhou University
Journal of Materials Chemistry | Year: 2012
Increasing interest has been devoted to preparing gold nanoparticle (GNP) functionalized TiO 2 nanotube array (TNTA) nanocomposites (GNP/TNTA) for photocatalytic applications. Nonetheless, achieving accurate control of surface assemblies of GNPs tethered on the TNTA substrate is far from satisfactory. Thus, in our work, applying 3-mercaptopropionic acid (MPA) as an interconnecting ligand, tailor-made monodispersed GNPs are evenly deposited on the interior and exterior surfaces of TNTAs with significant monodispersity via a self-assembly approach. The intrinsic self-assembly mechanism leading to the GNP/TNTA hybrid nanostructure is highlighted and ascertained. The photocatalytic performances of GNP/TNTAs are systematically evaluated in the photodegradation of organic dye pollutants under UV light irradiation. The ensemble of results indicates that the hierarchical nanostructure of the GNP/TNTA nanocomposite obtained via this self-assembly approach exhibits remarkably enhanced photocatalytic performance compared to its counterparts of P25 particulate film, a flat anodic TiO 2 layer (FTL), and GNP/FTL, in which well-dispersed GNPs and conducting titanium substrate are proposed to play crucial roles as efficient "electron traps" for the transfer of the photogenerated electrons and thus retard the recombination of photogenerated electron-hole pairs during the harvesting of photon-energy. In addition, the detection of increased amounts of highly active species (especially hydroxyl radicals) on the GNP/TNTAs by photoluminescence (PL) and electron spin resonance spectra (ESR) techniques further confirms the proposed mechanism. It is hoped that our knowledge regarding this simple self-assembly approach may cast new insight into the design and fabrication of noble-metal NPs/1-D nanotubular semiconductor hybrid nanomaterials for a wide range of photocatalytic applications. © 2012 The Royal Society of Chemistry.
Li D.-F.,Fuzhou University
Applied Soft Computing Journal | Year: 2011
The aim of this paper is to develop a closeness coefficient based nonlinear programming method for solving multiattribute decision making problems in which ratings of alternatives on attributes are expressed using interval-valued intuitionistic fuzzy (IVIF) sets and preference information on attributes is incomplete. In this methodology, nonlinear programming models are constructed on the concept of the closeness coefficient, which is defined as a ratio of the square of the weighted Euclidean distance between an alternative and the IVIF negative ideal solution (IVIFNIS) to the sum of the squares of the weighted Euclidean distances between the alternative and the IVIF positive ideal solution (IVIFPIS) as well as the IVIFNIS. Simpler nonlinear programming models are deduced to calculate closeness intuitionistic fuzzy sets of alternatives to the IVIFPIS, which are used to estimate the optimal degrees of membership and hereby generate ranking order of the alternatives. The derived auxiliary nonlinear programming models are shown to be flexible with different information structures and decision environments. The proposed method is validated and compared with other methods. A real example is examined to demonstrate applicability of the proposed method in this paper. © 2011 Elsevier B.V.
Lu C.H.,Fuzhou University
Analytical chemistry | Year: 2011
Peptide-protein interactions have critical roles in biology. Monitoring peptide-protein interactions plays an important role in investigating molecular recognition, screening drugs, and designing biosensors. In this paper, we develop a novel fluorescent approach to monitor peptide-protein interactions based on the assembly of pyrene-labeled peptide and graphene oxide (GO). The pyrene-labeled peptide is strongly adsorbed on the surface of GO via π-π interactions and hydrophobic interactions. As a result, the proximity of the GO to the pyrene moiety effectively quenches the fluorescence of pyrene. In the presence of target protein, the competitive binding of the target protein with GO for peptide results in the restoration of fluorescence signal. This signaling mechanism makes it possible to monitor the peptide-protein interactions in a homogeneous real-time format.
Xiao F.-X.,Fuzhou University
ACS Applied Materials and Interfaces | Year: 2012
In recent years, strenuous efforts have been devoted to exploring ZnO functionalized TiO2 nanotube arrays (ZnO/TNTs) nanocomposites; however, there is still a paucity of reports on the construction of well-defined ZnO/TNTs heterostructure via efficient and easily accessible approach. In this work, drawing on a two-step anodization combined pyrolysis strategy, we attained a highly ordered ZnO/TNTs hybrid nanostructure. Combined with a collection of characterizations including X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), diffusion reflectance spectrum (DRS), scanning electron microscopy (SEM), and transmission electron microscopy (TEM), we found that, in this coupling, in situ formed ZnO phases were uniformly grafted to TNTs framework giving rise to hybrid nanostructure, which is ascribed to cooperative interfacial interaction between polar TiO2 layer and ZnO precursor. The underlying interaction leading to judicious combination of TNTs and ZnO was unveiled by Fourier transformed infrared spectrum (FTIR) and XPS. Alternatively, it has been shown that ZnO nanocrystals distributed on the TNTs could serve as favorable hole channels and receptors for efficient separation of photoexcited charge carriers, which results in significantly enhanced photocatalytic performances of ZnO/TNTs heterostructure in comparison with pure TNTs, ZnO film, and P25 particulate film. Furthermore, it is found that the hybrid photocatalyst demonstrated excellent photostability. It is hoped that our work could present a straightforward paradigm for preparation of hierarchical semiconductor/1-D semiconductor heterostructures. © 2012 American Chemical Society.