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Different experimental conditions of salt concentration, target concentration, and mismatch tolerance were examined to evaluate the probe performance. The activity of Cas12a was programmed for a dsDNA frame copied from a tobacco curly shoot virus (TCSV) or hepatitis B virus (HepBV) genome by using crRNA against TCSV or HepBV, respectively. While on-target activity offered detection of as little as 10 pM dsDNA target, off-target activity was not observed even at 1 nM control DNAs. This study demonstrates that trans-cleavage of Cas12a is not limited to ssDNA substrates, and Cas12a-based diagnostics can be extended to dsDNA substrates.The cell envelope of Gram-negative bacteria is an elaborate cellular environment, consisting of two lipid membranes separated by the aqueous periplasm. So far, efforts to mimic this environment under laboratory conditions have been limited by the complexity of the asymmetric bacterial outer membrane. To evade this impasse, we recently established a method to modify the protein composition of bacterial outer membrane vesicles (OMVs) released from Escherichia coli as a platform for biophysical studies of outer membrane proteins in their native membrane environment. Here, we apply protein-enriched OMVs to characterize the structure of three envelope proteins from E. coli using nuclear magnetic resonance (NMR) spectroscopy and expand the methodology to soluble periplasmic proteins. We obtain high-resolution in situ NMR spectra of the transmembrane protein OmpA as well as the periplasmic proteins CpxP and MalE. We find that our approach facilitates structural investigations of membrane-attached protein domains and is especially suited for soluble proteins within their native periplasmic environment. Thereby, the use of OMVs in solution NMR methods allows in situ analysis of the structure and dynamics of proteins twice the size compared to the current in-cell NMR methodology. We therefore expect our work to pave the way for more complex NMR studies of bacterial envelope proteins in the native environment of OMVs in the future.We report on the generation of an octave-spanning (600-1400 nm) nearly monocycle (1.1 cycle) ultrashort optical pulse (3.2 fs) in the near-infrared region by the Fourier synthesis of two pulses at 800 and 1200 nm, both of which were spectrally broadened by self-phase modulation and were compressed by chirp mirrors. The 3.2 fs pulse was converted into the ultraviolet by third harmonic generation, the pulse width being evaluated to 1.9 fs. The near-infrared pulse (3.2 fs) was employed as an ionization source in mass spectrometry, and the signal intensity was significantly increased for pentachlorobenzene, an environmental pollutant listed in the Stockholm Convention. Nrf2 activator The present data and the spectral properties obtained by quantum chemical calculations suggest that the method offers a potential advantage for the detection of Novichok, a chemical warfare agent that is thought to have been used in a terrorist attack.Combinatorial approaches to materials discovery offer promising potential for the rapid development of novel polymer systems. Polymer microarrays enable the high-throughput comparison of material physical and chemical properties-such as surface chemistry and properties like cell attachment or protein adsorption-in order to identify correlations that can progress materials development. A challenge for this approach is to accurately discriminate between highly similar polymer chemistries or identify heterogeneities within individual polymer spots. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) offers unique potential in this regard, capable of describing the chemistry associated with the outermost layer of a sample with high spatial resolution and chemical sensitivity. However, this comes at the cost of generating large scale, complex hyperspectral imaging data sets. We have demonstrated previously that machine learning is a powerful tool for interpreting ToF-SIMS images, describing a method for color-tagging the output of a self-organizing map (SOM). This reduces the entire hyperspectral data set to a single reconstructed color similarity map, in which the spectral similarity between pixels is represented by color similarity in the map. Here, we apply the same methodology to a ToF-SIMS image of a printed polymer microarray for the first time. We report complete, single-pixel molecular discrimination of the 70 unique homopolymer spots on the array while also identifying intraspot heterogeneities thought to be related to intermixing of the polymer and the pHEMA coating. In this way, we show that the SOM can identify layers of similarity and clusters in the data, both with respect to polymer backbone structures and their individual side groups. Finally, we relate the output of the SOM analysis with fluorescence data from polymer-protein adsorption studies, highlighting how polymer performance can be visualized within the context of the global topology of the data set.The high-efficiency organic solar cells (OSCs) with thicker active layers are potential candidates for the fabrication of large-area solar panels. The low charge carrier mobility of the photoactive materials has been identified as the major problem hindering the photovoltaic performance of the thick-film OSCs. In this study, high performance of ultra-thick-film OSCs employing a nonfullerene acceptor BTP-4Cl and a polymer donor PBDB-TF is demonstrated. Two blends (PBDB-TFBTP-4Cl and PBDB-TFIT-4F) show comparable mobilities and excellent photovoltaic characteristics in thin-film devices, while in the 1000 nm thick devices, although they both exhibit desirable and balanced mobilities, the PBDB-TFBTP-4Cl-based blend possesses lower trap-state density than the IT-4F-based counterpart, leading to lower trap-assist recombination, longer carrier lifetime, and thus a much higher short-circuit current density in the device. As a result, the BTP-4Cl-based 1000 nm thick OSC achieves a remarkable power conversion efficiency of 12.1%, which greatly outperforms the IT-4F-based devices (4.72%). Furthermore, for a 1000 nm thick device with an active area of 4 cm2, a promising efficiency of 10.1% was obtained, showing its great potential in future large-scale production.
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