Consumption of water contaminated with pathogenic bacteria is a major cause of water-borne diseases. To address this challenge, we have developed a novel and sensitive sensing scheme for the rapid detection of bacteria (Escherichia coli B40) on a fiber-optic platform using bacteriophage (T4) as a bio-recognition element. The novelty of our sensing scheme is that instead of bacteriophages, bacteria (analyte) were first captured on the sensing surface and then the sensing surface was subjected to bacteriophages for specific detection of bacteria. The sensor was subjected to 100 to 107 cfu/mL of E. coli B40 spiked in a lake water matrix, and the least concentration of bacteria that could be easily detected was found to be 1000 cfu/mL. The control studies were performed with nonhost bacteria Pseudomonas aeruginosa. Bacteriophage T4, being specific to its host E. coli B40, did not interact with P. https://www.selleckchem.com/products/as1842856.html aeruginosa captured on the sensing probe, giving a negligible nonspecific response. Due to the specificity of bacteriophages to its host bacteria, it is possible to use this scheme to carry out the detection of specific bacteria in a mixed sample (containing a combination of bacteria) using bacteriophages specific to it. The sensor was able to detect E. coli B40 (target bacteria) even in the presence of a very high concentration (1000 times higher) of P. aeruginosa (nontarget bacteria).The kinetics of lambda carrageenan (λ-car) adsorption/desorption on/from anchoring layers under diffusion- and convection-controlled transport conditions were investigated. The eighth generation of poly(amidoamine) dendrimers and branched polyethyleneimine possessing different shapes and polydispersity indexes were used for anchoring layer formation. Dynamic light scattering, electrophoresis, streaming potential measurements, optical waveguide lightmode spectroscopy, and quartz crystal microbalance were applied to characterize the formation of mono- and bilayers. The unique combination of the employed techniques enabled detailed insights into the mechanism of the λ-car adsorption mainly controlled by electrostatic interactions. The results show that the macroion adsorption efficiency is strictly correlated with the value of the final zeta potentials of the anchoring layers, the transport type, and the initial bulk concentration of the macroions. The type of the macroion forming the anchoring layer had a minor impact on the kinetics of λ-car adsorption. Besides significance to basic science, the results presented in this paper can be used for the development of biocompatible and stable macroion multilayers of well-defined electrokinetic properties and structure.Nanoparticle catalyst materials are becoming ever more important in a sustainable future. Specifically, platinum (Pt) nanoparticles have relevance in catalysis, in particular, fuel cell technologies. Sputter deposition into liquid substrates has been shown to produce nanoparticles without the presence of air and other contaminants and the need for precursors. Here, we produce Pt nanoparticles in three imidazolium-based ionic liquids and PEG 600. All Pt nanoparticles are crystalline and around 2 nm in diameter. We show that while temperature has an effect on particle size for Pt, it is not as great as for other materials. Sputtering power, time, and postheat treatment all show slight influence on the particle size, indicating the importance of temperature during sputtering. The temperature of the liquid substrate is measured and reaches over 150 °C during deposition which is found to increase the particle size by less than 20%, which is small compared to the effect of temperature on Au nanoparticles presented in the literature. High temperatures during Pt sputtering are beneficial for increasing Pt nanoparticle size beyond 2 nm. Better temperature control would allow for more control over the particle size in the future.Given the multifactorial nature and pathogenesis of Alzheimer's disease, therapeutic strategies are addressed to combine the benefits of every single-target drug into a sole molecule. Quantum mechanics and molecular dynamics (MD) methods were employed here to investigate the multitarget action of a boron-containing compound against Alzheimer's disease. The antioxidant activity as a radical scavenger and metal chelator was explored by means of density functional theory. The most plausible radical scavenger mechanisms, which are hydrogen transfer, radical adduct formation, and single-electron transfer in aqueous and lipid environments, were fully examined. Metal chelation ability was investigated by considering the complexation of Cu(II) ion, one of the metals that in excess can even catalyze the β-amyloid (Aβ) aggregation. The most probable complexes in the physiological environment were identified by considering both the stabilization energy and the shift of the λmax induced by the complexation. The excellent capability to counteract Aβ aggregation was explored by performing MD simulations on protein-ligand adducts, and the activity was compared with that of curcumin, chosen as a reference.Magnetic fields offer untethered control over the assembly, dynamics, and reconfiguration of colloidal particles. However, synthesizing "soft" colloidal particles with switchable magnetic dipole moment remains a challenge, primarily due to strong coupling of the dipoles of the adjacent nanoparticles. In this article, we present a way to overcome this fundamental challenge based on a strategy to synthesize soft microbeads with tunable residual dipole moment. The microbeads are composed of a polydimethylsiloxane (PDMS) matrix with internally embedded magnetic nanoparticles (MNPs). The distribution and orientation of the MNPs within the PDMS bead matrix is controlled by an external magnetic field during the synthesis process, thus allowing for the preparation of anisotropic PDMS microbeads with internal magnetically aligned nanoparticle chains. We study and present the differences in magnetic interactions between microbeads containing magnetically aligned MNPs and microbeads with randomly distributed MNPs. The interparticle interactions in a suspension of microbeads with embedded aligned MNP chains result in the spontaneous formation of percolated networks due to residual magnetization.