A heterogeneous sandwich immunoassay of ferritin on a poly(dimethylsiloxane) microfluidic chip is proposed. An undemanding “prepolymerization technique” based on wet treatment of a phosphor bronze substrate was used for the microchip fabrication. Receptor rabbit antibodies were immobilized via passive sorption directly on microchannel walls. After the incubation of ferritin samples, secondary biotinylated antibodies were introduced. A solution of avidin molecules labeled by fluorescein isothiocyanate was finally added into the microchannels. Lamp-based fluorescence detection of the immunocomplex was then carried out. Dynamic detection range of the method was in the interval from 100 ng mL−1 to 10 μg mL−1.
Advanced models of penetrant transport and reaction in spatially 3D porous polyolefin particles reconstructed from X‐ray µCT images require proper determination of particle morphology. Moreover, polyolefins exhibit a relatively low absorptivity for X‐rays, therefore their investigation using µCT can be difficult. In this paper, a low‐resolution µCT built into an SEM is used to examine how the µCT resolution and several user‐selected parameters associated with the scanning/reconstruction affect the resulting particle morphology. Using samples with known morphology and independent imaging techniques, the performance of the µCT device is critically assessed. Finally, a method suitable for the reliable reconstruction of polyolefin particles using low‐resolution µCT is proposed.
Cover: A strategy to reliably reconstruct 3D images of porous polyolefin particles using X‐ray microtomography is presented. Polyolefins exhibit low absorptivity for X‐rays, hence they represent challenging samples for mCT imaging. Exploration of the influence of scanning/reconstruction settings on the resulting polymer morphology and transport characteristics allows the generation of these cross‐sectional images of polyethylene and polystyrene particles, shown with different smoothing parameters. Further details can be found in the article by L. Meisterová, A. Zubov, K. Smolná, F. Štěpánek, and J. Kosek* .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.