Amylases are key
enzymes in the processing of starch in many kingdoms
of life. They are important catalysts in industrial biotechnology
where they are applied in, among others, food processing and the production
of detergents. In man amylases are the first enzymes in the digestion
of starch to glucose and arguably also the preferred target in therapeutic
strategies aimed at the treatment of type 2 diabetes patients through
down-tuning glucose assimilation. Efficient and sensitive assays that
report selectively on retaining amylase activities irrespective of
the nature and complexity of the biomaterial studied are of great
value both in finding new and effective human amylase inhibitors and
in the discovery of new microbial amylases with potentially advantageous
features for biotechnological application. Activity-based protein
profiling (ABPP) of retaining glycosidases is inherently suited for
the development of such an assay format. We here report on the design
and synthesis of 1,6-
epi
-cyclophellitol-based pseudodisaccharides
equipped with a suite of reporter entities and their use in ABPP of
retaining amylases from human saliva, murine tissue as well as secretomes
from fungi grown on starch. The activity and efficiency of the inhibitors
and probes are substantiated by extensive biochemical analysis, and
the selectivity for amylases over related retaining endoglycosidases
is validated by structural studies.
Unlocking the true potential of optical spectroscopy on the nanoscale requires development of stable and low-noise laser sources. Here, we have developed a low-noise supercontinuum (SC) source based on an all-normal dispersion fiber pumped by a femtosecond fiber laser and demonstrate high resolution, spectrally resolved near-field measurements in the near-infrared (NIR) region. Specifically, we explore the reduced-noise requirements for aperture-less scattering-type scanning near-field optical microscopy (s-SNOM), including inherent pulse-to-pulse fluctuation of the SC. We use our SC light source to demonstrate the first NIR, spectrally resolved s-SNOM measurement, a situation where state-of-the-art commercial SC sources are too noisy to be useful. We map the propagation of surface plasmon polariton (SPP) waves on monocrystalline gold platelets in the wavelength region of 1.34–1.75 μm in a single measurement, thereby characterizing experimentally the dispersion curve of the SPP in the NIR. Our results represent a technological breakthrough that has the potential to enable a wide range of new applications of low-noise SC sources in near-field studies.
The frequency-resolved terahertz (THz) beam profile characteristics of a two-color air-plasma THz source were investigated in the broadband frequency range (1-15 THz). The frequency resolution is achieved by combining THz waveform measurements and the knife-edge technique. Our results show that the THz focal spot size is strongly frequency dependent. This has important implications on nonlinear THz spectroscopy applications where accurate knowledge of the applied THz electrical field strength onto the sample is important. In addition, the transition between the solid and hollow beam profile of the air-plasma THz beam was carefully identified. Far from the focus, the features across the 1-15 THz range have also been carefully examined, revealing the characteristic conical emission patterns at all frequencies.
We demonstrate that the conductivity of graphene on thin-film polymer substrates can be accurately determined by reflection-mode air-plasma-based THz time-domain spectroscopy (THz-TDS). The phase uncertainty issue associated with reflection measurements is discussed, and our implementation is validated by convincing agreement with graphene electrical properties extracted from more conventional transmission-mode measurements. Both the reflection and transmission THz-TDS measurements reveal strong non-linear and instantaneous conductivity depletion across an ultra-broad bandwidth (1–9 THz) under relatively high incident THz electrical field strengths (up to 1050 kV/cm).
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.