Originally regarded as auxiliary additives, nanoparticles have become important constituents of polyelectrolyte multilayers. They represent the key components to enhance mechanical properties, enable activation by laser light or ultrasound, construct anisotropic and multicompartment structures, and facilitate the development of novel sensors and movable particles. Here, we discuss an increasingly important role of inorganic nanoparticles in the layer-by-layer assembly—effectively leading to the construction of the so-called hybrid coatings. The principles of assembly are discussed together with the properties of nanoparticles and layer-by-layer polymeric assembly essential in building hybrid coatings. Applications and emerging trends in development of such novel materials are also identified.
Hydroxid‐Oberflächengiuppen von Silicagel reagieren mit VOCl3 zu einem Silicagelderivat, bei dem bis zu 97% der Hydroxid‐Oberflächengruppen durch (‐Si‐O‐)3VO‐ Gruppen ersetzt sein können.
The new detection SERS platform is applicable for the quick and easy formation of sensing devices for food, agriculture, and environmental science. For quantitative sensing, it is important that a...
In the present work, transparent flexible thin polymer films with silver patterns have been created. The resulting structures made by the printing method represent a new alternative approach for recording, protecting, and transmitting information as well as for nonlinear gradient material formation. An alphabet for process automatization was created, and an automated system for recording and reading information was developed. To protect the information, we suggest the usage of a classic XOR function: the idea of scrambling is to demonstrate the simple and clear example of coding the ITMO University logo, and the code is provided. Additionally, the resulting samples are functional gradient materials with peaks of surface plasmon resonance. In the following, automated peak decoding by UV−vis spectroscopy allows an additional physicochemical method for structure decoding.
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