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The reaction mechanism is studied by considering a small artificial fluorogenic peptide substrate (Suc-LLVY-AMC) and evaluating the activation barriers and reaction free energies for the acylation and deacylation steps, by using the empirical valence bond method. Our results shed light on the proteolysis mechanism and thus should be important for further studies of the proteasome action.Polar surfaces of ionic crystals are of growing technological importance, with implications for the efficiency of photocatalysts, gas sensors, and electronic devices. The creation of ionic nanocrystals with high percentages of polar surfaces is an option for improving their efficiency in the aforementioned applications but is hard to accomplish because they are less thermodynamically stable and prone to vanish during the growth process. Herein, we develop a strategy that is capable of producing polar surface-dominated II-VI semiconductor nanocrystals, including ZnS and CdS, from copper sulfide hexagonal nanoplates through cation exchange reactions. The obtained wurtzite ZnS hexagonal nanoplates have dominant 002 polar surfaces, occupying up to 97.8% of all surfaces. Density functional theory calculations reveal the polar surfaces can be stabilized by a charge transfer of 0.25 eV/formula from the anion-terminated surface to the cation-terminated surface, which also explains the presence of polar surfaces in the initial Cu1.75S hexagonal nanoplates with cation deficiency prior to cation exchange reactions. Experimental results showed that the HER activity could be boosted by the surface polarization of polar surface-dominated ZnS hexagonal nanoplates. We anticipate this strategy is general and could be used with other systems to prepare nanocrystals with dominant polar surfaces. Furthermore, the availability of colloidal semiconductor nanocrystals with dominant polar surfaces produced through this strategy opens a new avenue for improving their efficiency in catalysis, photocatalysis, gas sensing, and other applications.Application of aroma extract dilution analysis and headspace aroma dilution analysis revealed 51 odorants in raw green Toona sinensis and 54 odorants in raw red T. sinensis in the flavor dilution factor range of 8-4096. (E,E)-2,4-Decadienal, nonanal, 2,3,5-trimethylpyrazine, (E,Z)- and (Z,Z)-di-1-propenyl trisulfide, 2-methoxyphenol, and 4-ethylphenol were first identified as key odorants of T. sinensis. Clear differences between green and red T. learn more sinensis in aroma profiles, flavor dilution factors, quantitative data, and odor activity values verified that (E,E)-, (E,Z)-, and (Z,Z)-di-1-propenyl disulfide, (E,E)-, (E,Z)- and (Z,Z)-di-1-propenyl trisulfide, cis- and trans-2-mercapto-3,4-dimethyl-2,3-dihydrothiophene, and dimethyl sulfide caused the distinct sulfury odor note of each variety. Further, hexanal, (E)-2-hexenal, (E)-2-hexen-1-ol, and (E,Z)-2,6-nonadienal led to the green odor note in green T. sinensis, while 2-methoxyphenol and 4-ethylphenol contributed to the intense phenolic aroma note in red T. sinensis. Quantitation experiments and triangle tests in blanched T. sinensis verified that the quick loss of the abovementioned sulfur-containing compounds, aldehydes, the alcohol (E)-2-hexen-1-ol, and phenols was responsible for the changes in the overall aroma profile during blanching.This research introduces a method to directly detect serotonin in a single platelet through single-entity electrochemistry. Platelets isolated from human blood were analyzed by cyclic voltammetry and current-time measurements. When a single platelet collides with an ultramicroelectrode, serotonin inside the platelet is oxidized at the electrode surface, and an anodic current peak is consequently observed during measurement. The concentration of serotonin can be determined by integrating this peak current. In addition, this method can be used to determine the platelet concentration. Analysis of the collision frequency of platelets can provide information about the platelet concentration in the blood. As a result, platelet levels and serotonin concentrations in single platelets can be measured quickly and easily.A defect dynamic model is proposed for the positive synergistic effect of neutron- and γ-ray-irradiated silicon NPN transistors. The model considers a γ-ray-induced transformation and annihilation of the neutron-induced divacancy defects in the p-type base region of the transistor. The derived model of the base current predicts a growth function of the γ-ray dose that approaches exponentially an asymptotic value, which depends linearly on the neutron-induced initial displacement damage (DD) and a linear decay function of the dose whose slope depends quadratically on the initial DD. Variable fluence and dose neutron-γ-ray irradiation experiments are carried out, and we find all of the novel dose and fluence dependence predicted by the proposed model are confirmed by the measured data. Our work, hence, identifies that the defect evolution under γ-ray irradiation, rather than the widely believed interface Coulomb interaction, is the dominating mechanism of the synergistic effect. Our work also paves the way for the modification of displacement defects in silicon by γ-ray irradiation.Aptasensors are biosensors that include aptamers for detecting a target of interest. We engineered signaling aptasensors for the detection of RNA hairpins from the previously described malachite green (MG) RNA aptamer. The top part of this imperfect hairpin aptamer was modified in such a way that it can engage loop-loop (so-called kissing) interactions with RNA hairpins displaying partly complementary apical loops. These newly derived oligonucleotides named malaswitches bind their cognate fluorogenic ligand (MG) exclusively when RNA-RNA kissing complexes are formed, whereas MG does not bind to malaswitches alone. Consequently, the formation of the ternary target RNA-malaswitch RNA-MG complex results in fluorescence emission, and malaswitches constitute sensors for detecting RNA hairpins. Malaswitches were designed that specifically detect precursors of microRNAs let7b and miR-206.