Influence of microwave heating and time on functional,pasting and thermal properties of cassava starch

The effect microwaving power and time on the functional, pasting and thermal properties of cassava starch was investigated. Cassava starch at a moisture content of 30% was microwaved at 600 and 700 W for 0, 5, 15, 30 and 60 s following a preliminary study. Microwaving power and time did not alter the crystalline pattern of the starch, but there were obvious changes in the starch morphology. Starch colour was significantly (P ≤ 0.05) altered by microwave heating, with the total colour difference increasing from 4.85 to 43.01. Microwave treatment increased starch gelatinisation temperatures but decreased the swelling power, water absorption capacity and the relative crystallinity. These changes were influenced by microwave heating power and time. The results further revealed that the peak viscosity (3714.00–1947.00 cP) and setback ratio (1.70–1.49) decreased with increasing microwave heating time. However, breakdown viscosity (322.67–897.63 cP) and pasting temperature (1947.00–3714.00 °C) increased.     

Advances in green synthesis of selenium nanoparticles and their application in food packaging

The past decade has seen nanotechnology progressively being adopted by the food industry. Its wide application in food packaging has redefined conservative food packaging with active and intelligent packaging. Nanomaterials do not only influence food quality and safety but also offer health-related benefits. Selenium nanoparticles (SeNPs) have been preferred in recent years because of their high biological activity. However, they are generally synthesised using physicochemical methods which are associated with toxicity. In the past decade, efforts have been directed towards advancement of green synthesis of SeNPs to minimise hazardous by-products. The antioxidant and biocidal effects of SeNPs are generally investigated by direct contact between the oxidisable matter and/or test organisms. Lately, there is focus on the effect SeNPs incorporated into packaging films. This paper will review developments on SeNPs synthesised via plant extracts from the year 2010 to present and their potential application in active food packaging.     

A Study of the Biofiltration of High‐Loads of Toluene in Air: Carbon and Water Balances,Temperature Changes and Nitrogen Effect

Biodegradable atmospheric pollutants, released at low to moderate concentrations, can be removed by biofiltration. In this work, a laboratory‐scale compost‐based biofilter has been evaluated for the removal of high levels of toluene in air (～ 4.0 g.m^?3). By applying a variable nitrogen input in the irrigation solution, it was shown that the biodegradation extent can be controlled through the nutrient supply. The maximum elimination capacity achieved was 135 g.m^?3.h^?1, for a N‐concentration of 3.0 g of N.L^?1. A quantitative analysis of the bioreaction aspects (stoichiometry, temperature) led to the determination of the water flow rates associated with the toluene oxidation. Thus, it was estimated that some 530 to 800 g of water.day^?1 were lost at the bioreactor outlet, but were balanced by the irrigation system.     

Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis

High-level spatial relation and configuration modeling issues are gaining momentum in the image analysis and pattern recognition fields. In particular, it is deemed important whenever one needs to mine high-content images or large scale image databases in a more expressive way than a purely statistically one. Continuing previous efforts to incorporate structural analysis by developing specific efficient morphological tools performing on mesh representations like Delaunay triangulations, we propose to formalize spatial relation modeling techniques dedicated to unorganized point sets. We provide an original mesh lattice framework which is more convenient for structural representations of large image data by means of interest point sets and their morphological analysis. The set of designed numerical operators is based on a specific dilation operator that makes it possible to handle concepts like “between” or “left of” over sparse representations of image data such as graphs. Based on this new theoretical framework for reasoning about images, we are able to process high-level queries over large histopathological images, knowing that digitized histopathology is a new challenge in the field of bio-imaging due to the high-content nature and large size of these images.     

Use of a customized vision model to analyze the effects of higher-order ocular aberrations and neural filtering on contrast threshold performance

Customized optical filtering and light-dependent neural filtering were implemented in an ideal-observer model for an L-alternative forced-choice visual task. The model was applied to a contrast threshold visual task with adaptive optics correction of ocular higher-order (HO) aberrations under different light regimes, for which experimental data have previously been obtained (J. Mod. Opt.55, 791, 2008). A separability measure was used to assess the model-observer performance and to investigate the joint effect of optical and neural filtering. The numerical results were consistent with the experimental data in the assessment of the effect of HO aberrations as a function of light level.     

Lack of functional complementation between Bordetella pertussis filamentous hemagglutinin and Proteus mirabilis HpmA hemolysin secretion machineries

The gram-negative bacterium Bordetella pertussis has adapted specific secretion machineries for each of its major secretory proteins. In particular, the highly efficient secretion of filamentous hemagglutinin (FHA) is mediated by the accessory protein FhaC. FhaC belongs to a family of outer membrane proteins which are involved in the secretion of large adhesins or in the activation and secretion of Ca2+-independent hemolysins by several gram-negative bacteria. FHA shares with these hemolysins a 115-residue-long amino-proximal region essential for its secretion. To compare the secretory pathways of these hemolysins and FHA, we attempted functional transcomplementation between FhaC and the Proteus mirabilis hemolysin accessory protein HpmB. HpmB could not promote the secretion of FHA derivatives. Likewise, FhaC proved to be unable to mediate secretion and activation of HpmA, the cognate secretory partner of HpmB. In contrast, ShlB, the accessory protein of the closely related Serratia marcescens hemolysin, was able to activate and secrete HpmA. Two invariant asparagine residues lying in the region of homology shared by secretory proteins and shown to be essential for the secretion and activation of the hemolysins were replaced in FHA by site-directed mutagenesis. Replacements of these residues indicated that both are involved in, but only the first one is crucial to, FHA secretion. This slight discrepancy together with the lack of functional complementation demonstrates major differences between the hemolysins and FHA secretion machineries.     

Bulk Photodriven CO2 Conversion through TiO2@Si(HIPE) Monolithic Macrocellular Foams

Operating photo‐induced reactions exclusively on catalyst surfaces while not exploiting the full catalyst volume generates a major footprint penalty for the photocatalytic reactor and leads to an inefficient use of the catalytic material. Photonic investigations clearly show that the solid foams have a strongly multidiffusive character, with photons being significantly trapped within the sample cores while addressing a photon mean free path l_t = 20.1 ± 1.3 µm. This 3D process both greatly limits back‐reactions and promotes outstanding selectivity toward methane (around 80%) generation, and even ethane (around 18%) through C‐C coupling reaction, with residual carbon monoxide and dihydrogen contents (around 2%). Silica–titania TiO₂@Si(HIPE) self‐standing macrocellular catalysts lead to optimal efficient thicknesses up to 20 times those of powders, thereby enhancing the way for real 3D‐photodriven catalytic processes above the millimeter scale and up to a 6 mm thickness. A rather simple Langmuir–Hinshelwood based kinetic model is proposed which highlights the strong dependence of photocatalytic reaction rates on light scattering and the crucial role on oxidation back‐reactions. In addition, a strong correlation between light attenuation coefficient and photon mean free path and median pore aperture diameter is demonstrated, offering thus a tool for photocatalytic behavior prediction.