Automated image-based method for laboratory screening of coating libraries for adhesion of algae and bacterial biofilms

Assessment and down-selection of non-biocidal coatings that prevent the adhesion of fouling organisms in the marine environment requires a hierarchy of laboratory methods to reduce the number of experimental coatings for field testing. Automated image-based methods are described that facilitate rapid, quantitative biological screening of coatings generated through combinatorial polymer chemistry. Algorithms are described that measure the coverage of bacterial and algal biofilms on coatings prepared in 24-well plates and on array panels, respectively. The data are used to calculate adhesion strength of organisms on experimental coatings. The results complement a number of physical and mechanical methods developed to screen large numbers of samples.     

Reproducibility experiments on measuring acoustical properties of rigid-frame porous media (round-robin tests)

This paper reports the results of reproducibility experiments on the interlaboratory characterization of the acoustical properties of three types of consolidated porous media: granulated porous rubber, reticulated foam, and fiberglass. The measurements are conducted in several independent laboratories in Europe and North America. The studied acoustical characteristics are the surface complex acoustic impedance at normal incidence and plane wave absorption coefficient which are determined using the standard impedance tube method. The paper provides detailed procedures related to sample preparation and installation and it discusses the dispersion in the acoustical material property observed between individual material samples and laboratories. The importance of the boundary conditions, homogeneity of the porous material structure, and stability of the adopted signal processing method are highlighted.     

The Effective Permeability of Cracks and Interfaces in Porous Media

The presence of interfaces in fluid/solid biphasic media is known to strongly influence their behavior both in terms of solid deformation and fluids flow. Mathematical models have traditionally represented these interfaces as lines of no-thickness and whose behavior is given in terms of effective permeabilities whose physical meaning is often disconnected to the microscopic nature of the interface. This article aims to reconcile macroscopic and microscopic interface representations by investigating how the nature of microscopic flows and pressures in the interface can be used to explain its macroscopic behavior. By invoking a proper thickness average operation, we derive an closed form expression that relates the effective interfaces permeabilities to its microscopic properties. In particular, we find that the effective interface permeabilities are strongly influenced by three factors: the ratio of bulk and interface permeabilities, the fluid viscosity, and the physical thickness of the interface.

     

A fluorescent immunochromatographic test using immunoliposomes for detecting microcystins and nodularins

Microcystins (MCs), a group of cyclic heptapeptides produced by common cyanobacteria (blue green algae), cause both acute and chronic toxicity. Due to their toxicity, constant monitoring in drinking water, recreational waters as well as other potential exposure through ingestion of contaminated sea food, is very important. In this context, an immunochromatographic test (ICT) using a monoclonal antibody labeled with fluorescent liposomes (immunoliposomes) as tracer was developed, allowing a rapid and simple detection of a large number of MC and nodularin variants in field samples. The present ICT using immunoliposomes proved to be ten times more sensitive than the ICT using colloidal gold for labeling. To achieve quantitative measurement, this ICT was improved by including a stable signal on the control band allowing the expression of the results as a ratio of the fluorescence signals of the specific band versus the control band (SB/CB). Very low concentrations of MC-LR were detected in the analysis buffer (0.06 ng/ml), well below the guideline value of 1 ng/ml proposed by the World Health Organization (WHO), with a dynamic range from 0.06 to 1.5 ng/ml of MC-LR. This method was also validated using a hand-held commercial fluorometer (from ESE®), providing the same performances obtained via the analysis station (from Kodak®) used in our laboratory. Repeatability tests performed with both devices showed good accuracy (CV?Microcystis culture) was achieved using ICT, leading to similar results obtained via an EIA previously described. All these results demonstrate that this new fluorescent ICT could be used not only as a sensitive detection tool but also to quantify MCs in field samples.     

Synthesis of polyethylene‐grafted multiwalled carbon nanotubes via a peroxide‐initiating radical coupling reaction and by using well‐defined TEMPO and thiol end‐functionalized polyethylenes

Polyethylene (PE), alkoxyamine‐ and thiol‐terminated PEs (PE‐TEMPO and PE‐SH, respectively) can be converted to macroradicals using a peroxide, a thermal cleavage of the alkoxyamine and a hydrogen transfer reaction of the thiol, respectively. The addition of these macroradicals to multiwalled carbon nanotubes (MWCNTs) were compared by performing grafting reactions at 160 °C in 1,3‐dichlorobenzene as solvent. Raman spectroscopy was utilized to follow the introduction of PE on the MWCNTs' surface while thermogravimetric and elemental analysis indicated the extent of this grafting. The grafting ratio was found to be in the range of 19–36 wt %. PE‐functionalized MWCNTs were imaged by transmission electronic microscopy showing a PE layer with various thicknesses covering the surface of nanotubes. It was found that higher levels of grafting were obtained using PE‐2,2,6,6‐tetramethylpiperidinyl‐1‐oxy and PE‐SH rather than a radical grafting reaction in which dicumyl peroxide, PE, and MWCNTs were reacted. © 2010 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem, 2011     

Adaptive approximate Bayesian computation for complex models

We propose a new approximate Bayesian computation (ABC) algorithm that aims at minimizing the number of model runs for reaching a given quality of the posterior approximation. This algorithm automatically determines its sequence of tolerance levels and makes use of an easily interpretable stopping criterion. Moreover, it avoids the problem of particle duplication found when using a MCMC kernel. When applied to a toy example and to a complex social model, our algorithm is 2–8 times faster than the three main sequential ABC algorithms currently available.