The performance of superhydrophobic and superoleophilic carbon nanotube meshes in water–oil filtration

Vertically-aligned multi-walled carbon nanotubes (CNTs) were grown on stainless steel (SS) mesh by thermal chemical vapor deposition with a diffusion barrier of Al₂O₃ film. These three-dimensional porous structures (SS-CNT meshes) were found to be superhydrophobic and superoleophilic. Water advancing contact angles of 145–150° were determined for these SS-CNT meshes in air and oil (gasoline, isooctane). Oil, on the other hand, completely wet the SS-CNT meshes. This combined superhydrophobic and superoleophilic property repelled water while allowed the permeation of oil. Filtration tests demonstrated efficiencies better than 80% of these SS-CNT meshes as the filtration membranes of the water-in-oil emulsions. We have conducted quantitative analysis on the diameters of the oil droplets in both the feed emulsion and the filtrate. Then, we have evaluated the issue of water blockage and possible way to improve the filtration efficiency. Finally, the filtration and blockage mechanisms are proposed.     

Context-aware mobile image annotation for media search and sharing

In recent years, rapid advances in media technology including acquisition, processing and distribution have led to proliferation of many mobile applications. Amongst them, one of the emerging applications is mobile-based image annotation that uses camera phones to capture images with system-suggested tags before uploading them to the media sharing portals. This procedure can offer information to mobile users and also facilitate the retrieval and sharing of the image for Web users. However, context information that can be acquired from mobile devices is underutilized in many existing mobile image annotation systems. In this paper, we propose a new mobile image annotation system that utilizes content analysis, context analysis and their integration to annotate images acquired from mobile devices. Specifically, three types of context, location, user interaction and Web, are considered in the tagging processes. An image dataset of Nanyang Technological University (NTU) campus has been constructed, and a prototype mobile image tag suggestion system has been developed. The experimental results show that the proposed system performs well in both effectiveness and efficiency on NTU dataset, and shows good potential in domain-specific mobile image annotation for image sharing.     

Time-dependent Neutronic Analysis for High Level Waste Transmutation in a Fusion-driven Transmuter

This study presents time-dependent transmutations of high-level waste (HLW) including minor actinides (MAs) and long-lived fission products (LLFPs) in the fusion-driven transmuter (FDT) that is optimized in terms of the neutronic performance per fusion neutron in our previous study. Its blanket has two different transmutation zones (MA transmutation zone, TZ_MA, and LLFP transmutation zone, TZ_FP), located separately from each other. High burn-up pressured water reactor (PWR)-mixed oxide (MOX) spent fuel is used as HLW. The time-dependent transmutation analyses have been performed for an operation period (OP) of up to 10 years by 75% plant factor (η) under a first-wall neutron load (P) of 5 MW/m². The effective half-lives of the MA and LLFP nuclides can be shortened significantly in the considered FDT while substantial electricity is produced in situ along the OP.     

Performance evaluation of ProJet multi-material jetting 3D printer

The purpose of this paper is to quantitatively evaluate the performance of a multi-material jetting 3D printer, ProJet 5500X, especially the capability for micro manufacturing. Unlike other single material 3D printer, ProJet 5500X uses photopolymers as the build material and wax as the support material. The building performance was evaluated by building a modified version of the standard benchmark model with a high-resolution printing mode. The dimensional error, forming quality and surface roughness of the printed parts have been measured and analysed using a microscope, a 3D coordinate measuring machine and a surface profilometer. Using wax as the support material, fine features as small as 0.25?mm, lateral features and sharper edges could all be properly built, despite the rough side surfaces observed in the printed part. Identical features (3?mm pins) were precisely built with an accuracy of 15?µm. The research provides first-hand detailed performance knowledge in the ProJet system for understanding the working principle and comparison with other 3D printing systems.     

Graphene-Based Sorbents for Multipollutants Removal in Water: A Review of Recent Progress

The coexistence of multiple toxic water pollutants (heavy metals, organic dyes, oils, and organic solvents) limits the sustainable supply of clean water worldwide and urges the development of advanced water purification technology that can remove these contaminants simultaneously. Since its discovery, graphene-based materials have gained substantial attention toward development of new-generation sorbents for water purification. Despite several recently published reviews on water purification technology using graphene and its derivatives, there is still a gap in the review considering multiple water-pollutant remediation using advanced graphene materials. In this review, in the first instance, a comparative structure–function–performance relationship between graphene-based sorbents and the multipollutants in water is established. A fundamental correlation is made between the sorption performance for diverse pollutants in water with the more specific adsorption properties (surface area, pore size, type of functional groups, C/O, C/N, and C/S atomic ratio) of advanced graphene sorbents. Second, the underlying interaction mechanisms are uncovered between different classes of water pollutants using single graphene-based sorbents. Third, the rational design of advanced multipollutant sorbents based on graphene is elaborated. The reality, challenges, and opportunities of advanced graphene materials as emerging sorbents for sustainable water purification technology are finally presented in the last section.     

Asparaginyl Ligases: New Enzymes for the Protein Engineer's Toolbox

Enzyme-catalysed site-specific protein modifications enable the precision manufacture of conjugates for the study of protein function and/or for therapeutic or diagnostic applications. Asparaginyl ligases are a class of highly efficient transpeptidases with the capacity to modify proteins bearing only a tripeptide recognition motif. Herein, we review the types of protein modification that are accessible using these enzymes, including N- and C-terminal protein labelling, head-to-tail cyclisation, and protein-protein conjugation. We describe the progress that has been made to engineer highly efficient ligases as well as efforts to chemically manipulate the enzyme reaction to favour product formation. These enzymes are powerful additions to the protein engineer‘s toolbox.     

Comprehensive performance characterization of conductive fabric made of reduced graphene oxide (rGO)

In this study, the production and comprehensive characterization of graphene based electrically conductive textile products, which will allow lower processing costs, such as, low temperature and short process times, and known textile production processes without losing their flexibility, lightness, permeability, and washability characteristics of textile products. Reduced graphene oxide (rGO) was applied with a single step process by impregnation to woven fabrics and various properties of fabrics related to performance and comfort were analyzed besides electrical conductivity. The results obtained in the study have shown that it is possible to produce flexible and soft conductive textiles with low resistance values below 100 kΩ, resistant to mechanical deformations, such as, bending, rubbing, and stretching (cyclic test). In addition, the findings indicated that the fabrics applied rGO with the one-step production process will provide significant advantages to the electronic textile market in terms of wearability, cost-effectiveness, and applicable processes.     

Mechanochemical durability and self-cleaning performance of zinc oxide-epoxy superhydrophobic coating prepared via a facile one-step approach

Research efforts have intensified on developing superhydrophobic ZnO nanoparticle-based surfaces as they can impart desired hierarchical rough structures and properties. However, the widespread use of these surfaces is impeded by the limitations: complex fabrication procedures, weak adhesion, and limited durability performance. Most of these fabrication processes involved multiple treatment steps included the pre/post-treatment process to modify the textured surfaces. Herein, a convenient and effective one-step strategy is used to synthesis superhydrophobic ZnO-based coating with the introduction of both epoxy resin (EP) as the adhesive promoter and stearic acid (SA) as the low-energy modifier into an aqueous solution containing ZnO nanoparticles and ethanol via solution coating deposition method that binds all the components in a sole system. In the dense network, EP is responsible to render mechanical strength and coating-substrate adhesion, meanwhile, whereas SA functions to reduce the surface energy and preventing the EP to fully envelop the ZnO nanoparticles, thereby achieving a robust hierarchical rough structure, creating a layer of trapped air pockets. The resultant coating exhibits high water repellency, low water adhesion, and excellent self-cleaning ability with water contact and a sliding angle of 160.24° and 3°, respectively. Besides that, the superhydrophobic coating exhibited good mechanical durability after subjected to sandpaper-abrasion for a 20-m distance long and tape-peeling for 200 cycles. Furthermore, the coating still retained its superhydrophobicity after immersed in the corrosive bath with pH concentration ranged from 1 to 13 for 3 h, as well as the direct exposure to the temperature changes from 0 to 150 °C, manifesting its good chemical and thermal stability. This straightforward yet effective approach to develop a superhydrophobic coating with good durability and self-cleaning performance will inspire the scalable fabrication of multifunctional surfaces for practical applications in self-cleaning.     

The influence of dead load on fracture energy measurements using the RILEM method

A procedure for testing concrete beams in three-point bending to determine the fracture energy G_F has been proposed by RILEM Technical Committee 50—Fracture Mechanics of Concrete. In the evaluation of the test data the proposal presents a formula for G_F in which beam and carried fixture weights are included. Herein it is demonstrated that the effects of these dead-weight forces are presented correctly only (and approximately) for a testing arrangement in which load and beam deformation are both downward. A formula for the case of upward load and deformation is proposed.