The chemical composition and biological activity of Sanghuangporus vaninii solid culture treated by static magnetic field were *** compounds were isolated and purified using ultrasonic extraction and semi-preparative ...
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The chemical composition and biological activity of Sanghuangporus vaninii solid culture treated by static magnetic field were *** compounds were isolated and purified using ultrasonic extraction and semi-preparative liquid *** structures were identified through spectral data,and the inhibitory activities againstα-amylase,α-glucosidase and pancreatic lipase were *** compounds,5,7-dihydroxy-3,4'-dimethoxyflavone(1),D-(+)-Trehalose(2),pinolenic acid(3),were extracted from the petroleum ether *** of peak heights indicated a significantly higher content of compounds subjected to a 4 mT static magnetic field compared to those *** tests revealed that compounds 1 and 2 exhibited strong anti-α-amylase and anti-α-glucosidase ***,compound 1 had inhibition rates of(65.37±0.05)%and(73.81±0.12)%after 4 mT treatment,compared to(57.26±0.11)%and(65.33±0.14)%*** 2 showed inhibition rates of(68.61±0.12)%and(65.38±0.09)%with the magnetic field,versus(60.71±0.06)%and(56.18±0.02)%*** 3 displayed a notable inhibitory effect on pancreatic lipase,with rates of(60.83±0.03)%after 4 mT treatment and(53.77±0.09)%*** study demonstrates that the static magnetic field enhances the chemical content and bioactivity of Sanghuangporus vaninii solid culture,providing a basis for its further development and application.
The fecal components of Blaptica dubia and Blatta lateralis were analyzed and characterized using solid-phase microextraction-gas chromatography-mass spectrometry(SPME-GC-MS)to explore can-didate compounds mediating t...
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The fecal components of Blaptica dubia and Blatta lateralis were analyzed and characterized using solid-phase microextraction-gas chromatography-mass spectrometry(SPME-GC-MS)to explore can-didate compounds mediating their aggregation *** results revealed that hydrocarbons and alde-hydes accounted for the majority of the 85 components detected in the fecula of ***,with hexadecane(6.721%)and tetradecanal(6.555%)as the most *** the fecula of ***,esters and hy-drocarbons accounted for the majority of the 93 identified components,with 3-phenylpropionic acid methyl ester(10.020%)and 2,7-dioxa-tricyclo[4.4.0.0(3,8)]deca-4,9-diene(3.604%)hexadecane(2.504%)*** fecal compositions of the two cockroach species exhibited similarities,with seven common substances identified out of a total of *** relative percentages of these common components in the fecula were 68.516%for *** and 53.541%for ***.
It is effective to accurately discriminate the sex of silkworm pupae with the same varieties based on near infrared spectroscopy. However, when the model is promoted to classify new varieties of silkworm pupae, the mo...
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It is effective to accurately discriminate the sex of silkworm pupae with the same varieties based on near infrared spectroscopy. However, when the model is promoted to classify new varieties of silkworm pupae, the model's performance becomes worse, due to the cultivation environment and varieties changing. In the aims of improving the generalization ability and accuracy of the model, this paper proposed a model updating strategy based on semi-supervised learning. First, support vector machine identification model was built after the original spectra was pretreated by Savitzky-Golay convolution smoothing operation, which could effectively reduce spectra noise. Then, the support vector machine model gave the pre-labelings of unlabeled silkworm pupae in the updated set, which were divided into male samples and female samples. According to the correlation coefficients that calculated by Pearson correlation coefficient and Euclidean distance, a total of 8 reliable samples were selected from the male and female samples, respectively. The reliable samples were added to the original training set to update the original model. Finally, the updated model was used to test the test sets from the varieties of silkworm pupae that were the same with updated *** results showed the performance of the non-updated model for silkworm pupae from the three new varieties just reached 54.55%, 68.52%, 86.84%, respectively. The support vector machine model updated by using Pearson correlation coefficient improved the accuracy to 100%, 96.30%, 97.37%, and the model updated by Euclidean distance increased the identification accuracy of the three varieties that were not involved in the modeling to 100%, 75.93%, 92.10% respectively. The results showed that the performance of the model updated by Pearson correlation coefficient was better than Euclidean distance. The results revealed that the method based on semi-supervised learning could effectively solve the problem of poor universality fo
Since copper azide (Cu(N-3)(2)) has high electrostatic sensitivity and is difficult to be practically applied, silicon-based Cu(N-3)(2)@carbon nanotubes (CNTs) composite energetic films with higher electrostatic safet...
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Since copper azide (Cu(N-3)(2)) has high electrostatic sensitivity and is difficult to be practically applied, silicon-based Cu(N-3)(2)@carbon nanotubes (CNTs) composite energetic films with higher electrostatic safety were fabricated, which can be compatible with micro-electro mechanical systems (MEMS). First, a silicon-based porous alumina film was prepared by a modified two-step anodic oxidation method. Next, CNTs were grown in pores of the silicon-based porous alumina film by chemical vapor deposition. Then, copper nanoparticles were deposited in CNTs by electrochemical deposition and oxidized to Cu(N-3)(2)by gaseous hydrogen azide. The morphology and composition of the prepared silicon-based Cu(N-3)(2)@CNTs energetic films were characterized by field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM) and X-ray diffraction (XRD), respectively. The electrostatic sensitivity of the composite energetic film was tested by the Bruceton method. The thermal decomposition kinetics of the composite energetic films were studied by differential scanning calorimetry (DSC). The results show that the exothermic peak of the silicon-based Cu(N-3)(2)@CNTs composite energetic film is at the temperature of 210.95 degrees C, its electrostatic sensitivity is significantly less than that of Cu(N-3)(2)and its 50% ignition energy is about 4.0 mJ. The energetic film shows good electric explosion characteristics and is successfully ignited by laser.
The dielectric constant (epsilon r) is an essential parameter as it characterizes the ability to screen charge. Molecular doping is a key strategy to enhance the electronic properties of organic semiconductors, where ...
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The dielectric constant (epsilon r) is an essential parameter as it characterizes the ability to screen charge. Molecular doping is a key strategy to enhance the electronic properties of organic semiconductors, where again epsilon r is important because the Coulomb attraction introduced by dopants needs to be overcome to generate carriers. Previous theoretical work has reported collective screening can lead to a dramatic enhancement of epsilon r upon doping. Whereas this prediction has been tested in the low-doping regime, the predicted dielectric catastrophe remains unexplored. Here, metal-insulator-semiconductor (MIS) diodes to measure the dielectric constant of organic semiconductors subjected to moderate-to-high doping levels is employed. MIS diodes make it possible to measure the dielectric constant at relatively high doping ratios and corresponding high electrical conductivities. This results demonstrated a notable rise in the dielectric constant within a range of approximate to 3.0-15.0 of n- and p-doped organic semiconductors, resembling the phenomenon of dielectric catastrophe. These observations align with recent theoretical investigations into the impact of molecular doping on epsilon r and show the collective behavior of free charges in doped organic semiconductors. Metal-insulator-semiconductor diodes are used to measure the dielectric constant of organic semiconductors subjected to moderate-to-high doping levels. The results demonstrate a notable rise in the dielectric constant within a range of approximate to 3.0-15.0 of n- and p-doped organic semiconductors, resembling a dielectric catastrophe caused by the collective behavior of free charges. image
The detection of pesticides has become a very important and critical research area because of the rapid development of agriculture and strict environmental protection regulations. In this paper, a fast and sensitive n...
The detection of pesticides has become a very important and critical research area because of the rapid development of agriculture and strict environmental protection regulations. In this paper, a fast and sensitive non-enzymatic electrochemical sensor for methyl parathion (MP) on a glassy carbon electrode (GCE) modified with hydroxylatopillar[5]arene@gold nanoparticles and electrochemical reduced graphene oxide (HCP5@AuNPs-ERGO) hybrid nanomaterials was proposed. The properties of the modified electrode were characterized by cyclic voltammetry (CV), differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS). The experimental parameters such as preconcentration time, preconcentration potential and pH value were optimized. It was found that the improved electrode showed a high detection sensitivity to MP, with a detection range of 0.005 mu M to 30 mu M and a detection limit (LOD) of 0.001 mu M, and other interfering substances had no effect on the detection of MP. In addition, the modified electrode is also used for the detection of MP in actual water samples, showing an efficient sensing capability. The results show that the electrochemical sensor provides a new idea for the trace analysis of MP in agricultural and environmental samples.
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