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McHugh Damsgaard posted an update 6 months, 2 weeks ago
The observation of multifrequency stimulated Raman scattering of light in a thin powder layer of a gyrotropic crystal of sodium bromate when excited by intense ultrashort pulses of the second optical harmonic (λ = 532 nm) of an yttrium aluminum garnet laser is reported. Five Stokes and anti-Stokes satellites corresponding to the excitation of the intramolecular optical mode of NaBrO3 crystal were present in the recorded spectra. In addition, Raman satellites corresponding to the excitation of lattice modes, as well as their combinations with intramolecular modes, were found in the spectra of stimulated Raman scattering. The prospects of using stimulated Raman scattering spectroscopy for express analysis of gyrotropic media gyrotropic polycrystals, crystalline amino acids, proteins, DNA, etc. have been established.Hydrogen sulfide (H2S) is a very important third endogenously generated gaseous signaling molecule and plays a key role in physiological and pathological regulation processes of living biosystems. Although a lot of H2S fluorescent probes have been reported, the relationship between the physiology and pathology of H2S in inflamed tissues remains unclear. Herein, by adopting a donor-π-acceptor (D-π-A)-structured naphthalimide derivative as the two-photon (TP) fluorophore and a 4-dinitrobenzene-ether (DNB) with a strong intramolecular charge transfer (ICT) effect as the recognition moiety, we reported a novel TP bioimaging probe NP-H2S for H2S with improved sensitivity. The NP-H2S exhibits very low background fluorescence in the absence of H2S, and a significant 258-fold fluorescence intensity enhancement was observed in the presence of H2S, resulting in a high sensitivity and selectivity to H2S in aqueous solutions with a detection limit of 18.8 nM observed. The probe also shows a wide linear response concentration range (0-10.0 μM) to H2S with high selectivity. All these features are favorable for direct monitoring of H2S in complex biological samples. It was then applied for direct TP imaging of H2S in tissues of inflammation model with satisfactory sensitivity, indicating it has the latent capability in further biological applications for investigation of the interaction H2S with inflammation.In this current work, we have prepared zinc oxide (ZnO) nanorods by sol-gel method, and its composite films with a conducting polymer poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOTPSS) also have been prepared by drop-casting method on the glass substrate. UV-Vis absorption and steady-state fluorescence studies revealed exciton dissociation and recombination at the interface of polymer chain and wide-bandgap semiconductor ZnO. Also, nonlinear optical properties of as-prepared nanocomposite films have been reported by employing an open aperture z-scan technique. A predominantly two-photon induced saturable absorption behavior, when excited with 532 nm, 10 ns laser pulses, appeared in nonlinear optical measurements. These results indicate that our as-synthesized composites can be useful in fabricating optical switch and saturable absorbers.A novel curcumin-analogous fluorescent sensor, DNP, was developed for cysteine detection with a bilateral-response click-like mechanism. DNP indicated high selectivity and practical sensitivity. It could recognize Cys from other biologically relevant molecules, especially, from GSH and Hcy. The most interesting point was that, with typical azide groups for sensing, DNP indicated a covalent binding procedure with Cys instead of a presupposed simple reduction for reductive sulfide. Moreover, the recognition occurred at both sides of the sensor. DNP could be utilized into the detection of endogenous and exogenous Cys in living cells. Though the specific optical performances of DNP still need optimization, this work supplied novel information for broadening the vision on fluorophores and mechanisms, for the monitoring of Cys and even other sulfur-containing species.This work aimed to investigate and compare the composition and the physicochemical properties of 18 different sources of edible vegetable oils. A systematic study on the correlation between composition and physical properties was performed using Fourier Transform Infrared (FTIR) Spectroscopy and fatty acid chromatographic analysis. Principal component analysis of FTIR spectra is performed to classify edible oils concerning their physical properties. The results demonstrate the potentiality of the method associated with multivariate statistics analysis as powerful, fast, and non-destructive tools for characterization and quality control of edible vegetable oils.The potential energy curves (PECs) of all covalent states of Molecular Astatine (At2) have been investigated in this work within a four-component relativistic framework using the MOLFDIR program package. The ground state was determined using multireference configuration interaction with all single and double excitations including Davidson size-extensivity correction (MRCISD+Q) whereas the 22 excited states were treated by complete open shell configuration interaction (COSCI). Spectroscopic constants (Re,ωe,ωexe,ωeye, De,Be,αe,βe,Te) are presented for all states as well as vertical excitations obtained at COSCI, MRCISD and MRCISD+Q levels. In addition, it is also presented accurate extended Rydberg analytical form for the ground state X (1)0g+.Using near-infrared (NIR) spectroscopy for poultry litter characterization can be a rapid, non-destructive, and low-cost alternative. This study aims to estimate the C, N, P, and K content in poultry litter samples using for first time NIR spectroscopy. For these purposes, the building models were carried out using Partial Least Squares (PLS) and Support Vector Machines (SVM) methods. see more A total of 160 litter samples were analyzed in poultry houses of different rearing systems, seeking the highest possible variability in their chemical composition. NIR spectroscopy, combined with PLS and SVM methods, is an alternative method for non-destructive C, N, P, and K determination in poultry samples. The regression models using SVM provide better accuracy for all elements, laying the basis for the nonlinear regression approach’s application. The K determination on poultry litter using NIR was possible only by the SVM model (R2 = 0.8620 and RPD = 2.7330). Conclusively, the predictive ability was improved using the SVM method.
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