Zhaoschwartz1376

4 at. % In-SnS2 few layers exhibited an optimal photodetection performance with a high R of 153.8 A/W, a high EQE of 4.72 × 104 %, a great D* of 5.81 × 1012 Jones, and a short response time of 13 ms. Our work provides an efficient path to enhance photodetection performances of photodetectors based on SnS2 for future high-performance optoelectronic applications.Quantitative detection of multiple biological small molecules is critical for health evaluation and disease diagnosis. In this study, a microarray chip featuring a bienzyme-immobilized polyaniline nanowire forest on fluorine-doped tin oxide (bienzyme-PANI/FTO) is developed for this purpose. On such a chip, the target molecules are oxidized under the catalysis of their attached oxidases to produce hydrogen peroxide, which further induces the partial oxidation of local PANI nanowires in the presence of horseradish peroxidase (HRP) enzyme. The redox state change of PANI nanowires is monitored by the oblique incident reflectivity difference (OIRD) technique in a real-time and wireless manner, thus allowing for quantitative analysis of the target molecules. As typical model targets, hydrogen peroxide, glucose, lactic acid, and cholesterol are successfully detected with low detection limits, excellent specificities, and broad detection ranges, all of which fully meet the requirements for clinical analysis of human serum samples. Simultaneous detection of multiple targets on an individual chip is further demonstrated using the OIRD scanning mode. Meanwhile, by simple electrochemical reduction of the PANI nanowires, the chip is reusable for more than eight detection cycles without evident decay in its performance. The detection principle of this chip is also universal to other small molecules, and thus, it shows great promise as a valuable device to analyze biological small molecules.Conjugation with poly(ethylene glycol) ("PEGylation") is a widely used approach for improving the therapeutic propensities of peptide and protein drugs through prolonging bloodstream circulation, reducing toxicity and immunogenicity, and improving proteolytic stability. In the present study, we investigate how PEGylation affects the interaction of host defense peptides (HDPs) with bacterial lipopolysaccharide (LPS) as well as HDP suppression of LPS-induced cell activation. In particular, we investigate the effects of PEGylation site for KYE28 (KYEITTIHNLFRKLTHRLFRRNFGYTLR), a peptide displaying potent anti-inflammatory effects, primarily provided by its N-terminal part. PEGylation was performed either in the N-terminus, the C-terminus, or in both termini, keeping the total number of ethylene groups (n = 48) constant. Ellipsometry showed KYE28 to exhibit pronounced affinity to both LPS and its hydrophobic lipid A moiety. The PEGylated peptide variants displayed lower, but comparable, affinity for both LPS and of the largely retained helical structure close to the N-terminus, irrespective of PEGylation site. Taken together, the results show that PEGylation of HDPs can be done insensitively to the conjugation site without losing anti-inflammatory effects, even for peptides inducing such effects through one of its termini.Glutamate (Glu) and aspartate (Asp) are the most abundant amino acids in various sources of protein waste, recognized as a sustainable resource. In this study, Escherichia coli was engineered to produce succinic acid (SA) from Glu and Asp. selleck kinase inhibitor Succinate dehydrogenase involved in the tricarboxylic acid was inactivated in the Glu-utilizing strain. To grow on Asp, this mutant strain was subjected to metabolic evolution. One resulting strain capable of metabolizing Asp was further evolved to improve the growth of Glu and Asp. After the deletion of arcA, the resulting strain was employed for the aerobic production of SA. The shake-flask culture was conducted with the minimal medium containing 10 g/L Glu and 10 g/L Asp. Finally, it resulted in the SA production, with a titer, the molar yield, and productivity reaching 72.8 mM (i.e., 8.6 g/L), 0.54 (ca. 75.4% of the theoretical yield), and 0.66 g/L/h, respectively. Overall, this study opens up a new avenue of the biorefinery platform based on renewable amino acids.Coal combustion residuals (CCRs), in particular, coal fly ash, are one of the major industrial solid wastes in the U.S., and due to their high concentrations of toxic elements, they could pose environmental and human health risks. Yet detecting coal fly ash in the environment is challenging given its small particle size. Here, we explore the utility and sensitivity of using geochemical indicators (trace elements, Ra nuclides, and Pb stable isotopes), combined with physical observation by optical point counting, for detecting the presence of trace levels of coal fly ash particles in surface soils near two coal-fired power plants in North Carolina and Tennessee. Through experimental work, mixing models, and field data, we show that trace elements can serve as a first-order detection tool for fly ash presence in surface soils; however, the accuracy and sensitivity of detection is limited for cases with low fly ash proportion (i.e., less then 10%) in the soil, which requires the integration of more robust Ra and Pb isotopic tracers. This study revealed the presence of fly ash particles in surface soils from both the recreational and residential areas, which suggests the fugitive emission of fly ash from the nearby coal-fired power plants.Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is of great importance for clinical diagnosis, biosecurity, and public health. However, most traditional approaches, such as microbial cultures, are time-consuming and laborious. To circumvent these problems, surface-enhanced Raman spectroscopy (SERS) appears to be a powerful technique to characterize bacteria at the single-cell level. Here, by SERS, we report a strategy for the rapid and specific detection of 22 strains of common pathogenic bacteria. A novel and high-quality silver nanorod SERS substrate, prepared by the facile interface self-assembly method, was utilized to acquire the chemical fingerprint information of pathogens with improved sensitivity. We also applied the mathematical analysis methods, such as the t-test and receiver operating characteristic method, to determine the Raman features of these 22 strains and demonstrate the clear identification of most bacteria (20 strains) from the rest and also the reliability of this SERS sensor.