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The irreversible spread of new resistance mechanisms against existing therapeutical antibiotics has led to the development of technologies and strategies for the glycosylation engineering of novel antibiotics. Amino-, C-branched and O-methylated 6-deoxyhexoses play a favourite role in the biosynthesis of clinically important antibiotics like tylosin, erythromycin or oleandomycin and are essential for the antibiotic activity. They are transferred onto the aglycon by glycosyltransferases using dTDP-activated deoxyhexoses. The in vitro biochemical characterization of the biosynthetic enzymes and the glycosyltransferases are, however, hampered due to the poor synthetic access to dTDP-activated deoxysugars and their biosynthetic intermediates. The overcoming of the poor availability of dTDP-activated sugars was the target of several researchers to fulfil their distinct aims with these sugars which were mostly involved in the synthesis of different biological active compounds. Several completely different strategies were used in the past years to improve the availability of dTDP-activated deoxysugars, varying from complete enzymatic synthesis via syntheses using reaction technology for yield optimization to full organic synthesis or shortcuts like the decomposition of commercially available antibiotics and later chemical activation of the sugar moieties. This review gives a survey of the synthesis of dTDP-activated sugars by chemical and chemoenzymatic approaches and discusses the promiscuity of glycosyltransferases to evaluate the chances for applying them for the production of new bioactive compounds. It summarizes the most important enzymes in the field of synthesis using biosynthetic pathway enzymes and describes solutions for occurring challenges during application. Finally, this review will give a survey about the availability of dTDP-activated sugars in sufficient scale and will also point at important sugars which are still bottlenecks and difficult to synthesize and therefore should become a target for enhanced research efforts.

This paper describes the development of an innovative carbon nanotube-based non-woven composite sensor that can be tailored for strain sensing properties and potentially offers a reliable and cost-effective sensing option for structural health monitoring (SHM). This novel strain sensor is fabricated using a readily scalable process of coating Carbon nanotubes (CNT) onto a nonwoven carrier fabric to form an electrically-isotropic conductive network. Epoxy is then infused into the CNT-modified fabric to form a free-standing nanocomposite strain sensor. By measuring the changes in the electrical properties of the sensing composite the deformation can be measured in real-time. The sensors are repeatable and linear up to 0.4% strain. Highest elastic strain gage factors of 1.9 and 4.0 have been achieved in the longitudinal and transverse direction, respectively. Although the longitudinal gage factor of the newly formed nanocomposite sensor is close to some metallic foil strain gages, the proposed sensing methodology offers spatial coverage, manufacturing customizability, distributed sensing capability as well as transverse sensitivity.

Porous adsorbents with hierarchical structured macropores ranging from 1 to 100 μm are prepared using a combination of freeze casting and additional sacrificial templating of polyurethane foams, with a zeolite 13X powder serving as adsorbent. The pore system of the prepared monoliths features micropores assigned to the zeolite 13X particle framework, interparticular pores of ∼1-2 μm, lamellar pores derived from freeze casting of ∼10 μm, and an interconnected pore network obtained from the sacrificial templates ranging from around 100 to 200 μm with a total porosity of 71%. Gas permeation measurements show an increase in intrinsic permeability by a factor of 14 for monoliths prepared with an additional sacrificial templated foam compared to monoliths solely providing freeze casting pores. Cyclic CO2 adsorption and desorption tests where pressure swings between 8 and 140 kPa reveal constant working capacities over multiple cycles. Furthermore, the monoliths feature a high volumetric working capacity of ∼1.34 mmol/cm(3) which is competitive to packed beds made of commercially available zeolite 13X beads (∼1.28 mmol/cm(3)). Combined with the faster CO2 uptake showing an adsorption of 50% within 5-8 s (beads ∼10 s), the monoliths show great potential for pressure swing adsorption applications, where high volumetric working capacities, fast uptakes, and low pressure drops are needed for a high system performance.

Structural health monitoring (SHM) has become a viable tool to provide owners of structures and mechanical systems with quantitative and objective data for maintenance and repair. Traditionally, discrete contact sensors such as strain gages or accelerometers have been used for SHM. However, distributed remote sensors could be advantageous since they don't require cabling and can cover an area rather than a limited number of discrete points. Along this line we propose a novel monitoring methodology based on video analysis. By employing commercially available digital cameras combined with efficient signal processing methods we can measure and compute the fundamental frequency of vibration of structural systems. The basic concept is that small changes in the intensity value of a monitored pixel with fixed coordinates caused by the vibration of structures can be captured by employing techniques such as the Fast Fourier Transform (FFT). In this paper we introduce the basic concept and mathematical theory of this proposed so-called virtual visual sensor (VVS), we present a set of initial laboratory experiments to demonstrate the accuracy of this approach, and provide a practical in-service monitoring example of an in-service bridge. Finally, we discuss further work to improve the current methodology.

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