ABSTRACT
Recently, 3d metal phosphide and metal-phosphorus alloy have been intensively studied for the oxygen evolution reaction (OER). Research work has indicated that the presence of phosphorus could lead to the formation of a phosphide/(hydro)-oxide core/shell structure. In this work, we have developed a fabrication technique for a robust NiOOH@amorphous Ni-P bilayer on a zirconia mesh support through the collaboration of electroless deposition and robocasting. During the electroless deposition, a fully amorphous structure can be obtained with a certain phosphorus content (7-8 wt %). Relatively thick films (in the order of 5 µm) had an excellent adhesion on the mesh structure because of the large curvature. A stable Ni oxy/hydroxide surface (â¼200 nm) can be formed in bilayer nature (NiOOH/Ni-P) due to preactivation. The combination of catalyst active sites on the surface and high conductivity of metallic body enables good OER performance with an overpotential of 286 mV at a current density of 10 mA cm-2. Together with excellent chemical stability and mechanical strength of the ceramic substrate, this novel combination gives rather excellent adhesion and stability in alkaline solution and provides a different angle for the hierarchical design of corrosion resistant and high-performance OER electrodes for industry.
ABSTRACT
CLUB ("Candidate List of yoUr Biomarkers") is a freely available, web-based resource designed to support Cancer biomarker research. It is targeted to provide a comprehensive list of candidate biomarkers for various cancers that have been reported by the research community. CLUB provides tools for comparison of marker candidates from different experimental platforms, with the ability to filter, search, query and explore, molecular interaction networks associated with cancer biomarkers from the published literature and from data uploaded by the community. This complex and ambitious project is implemented in phases. As a first step, we have compiled from the literature an initial set of differentially expressed human candidate cancer biomarkers. Each candidate is annotated with information from publicly available databases such as Gene Ontology, Swiss-Prot database, National Center for Biotechnology Information's reference sequences, Biomolecular Interaction Network Database and IntAct interaction. The user has the option to maintain private lists of biomarker candidates or share and export these for use by the community. Furthermore, users may customize and combine commonly used sets of selection procedures and apply them as a stored workflow using selected candidate lists. To enable an assessment by the user before taking a candidate biomarker to the experimental validation stage, the platform contains the functionality to identify pathways associated with cancer risk, staging, prognosis, outcome in cancer and other clinically associated phenotypes. The system is available at http://club.bii.a-star.edu.sg.
ABSTRACT
The Gastric Cancer (Biomarkers) Knowledgebase (GCBKB) (http://biomarkers.bii.a-star.edu.sg/background/gastricCancerBiomarkersKb.php) is a curated and fully integrated knowledgebase that provides data relating to putative biomarkers that may be used in the diagnosis and prognosis of gastric cancer. It is freely available to all users. The data contained in the knowledgebase was derived from a large literature source and the putative biomarkers therein have been annotated with data from the public domain. The knowledgebase is maintained by a curation team who update the data from a defined source. As well as mining data from the literature, the knowledgebase will also be populated with unpublished experimental data from investigators working in the gastric cancer biomarker discovery field. Users can perform searches to identify potential markers defined by experiment type, tissue type and disease state. Search results may be saved, manipulated and retrieved at a later date. As far as the authors are aware this is the first open access database dedicated to the discovery and investigation of gastric cancer biomarkers.
