This study describes the verification of the cDNA-deduced amino acid sequences of high molecular weight glutenin subunits 1Dy10 and 1Bx7 in Cheyenne cultivar by direct matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) analysis of their tryptic fragments omitting chromatographic pre-separation. These polypeptides have a conserved structure consisting of a long central repetitive domain that prevents the application of conventional sequencing procedures such as Edman degradation. The published sequence of subunit 1Dy10 contains 7 Lys and 13 Arg residues; thus the production of 21 tryptic peptides is expected. The cDNA-deduced sequence for 1Bx7 subunit includes 5 Lys and 15 Arg residues, but the presence of three Arg-Pro bonds, which are normally not cleaved by trypsin, predicts only 19 tryptic peptides. Three different matrices (DHB, SA and HCCA) in combination with the most compatible sample preparation procedures were used in order to obtain the maximum 1Dy10 and 1Bx7 sequence coverage. MALDI analysis of the 1Dy10 tryptic digest resulted in the identification of all 21 expected peptides. In the case of 1Bx7 MALDI analysis resulted in the identification of 17 of the 19 expected peptides, giving a sequence coverage of 99.3%. These results were sufficient to rule out glycosylation of the 1Dy10 and 1Bx7 proteins and to assess the absence of any other post-translational modification, to within the detection limits of the method. 相似文献
The set-up of reversible binding interactions between the hydrophobic region of macrocyclic GBCAs (Gadolinium Based Contrast Agents) and SO3−/OH containing pyrene derivatives provides new insights for pursuing relaxivity enhancements of this class of MRI contrast agents. The strong binding affinity allows attaining relaxation enhancements up to 50% at pyrene/GBCA ratios of 3 : 1. High resolution NMR spectra of the Yb-HPDO3A/pyrene system fully support the formation of a supramolecular adduct based on the set-up of hydrophobic interactions. The relaxation enhancement may be accounted for in terms of the increase of the molecular reorientation time (τR) and the number of second sphere water molecules. This effect is maintained in blood serum and in vivo, as shown by the enhancement of contrast in T1w-MR images obtained by simultaneous injection of GBCA and pyrene derivatives in mice.The set-up of reversible binding interactions between the hydrophobic region of macrocyclic gadolinium based contrast agents and SO3−/OH containing pyrene derivatives provides new insights for pursuing relaxivity enhancement of MRI contrast agents. 相似文献
The fate and transport of toxic metal ions and radionuclides in the environment is generally controlled by sorption reactions.
The extent of sorption of divalent metal cations is controlled by a number of factors including cosorbing or complexing. In
this work, the effects of pH, humic acid HA/Co(II) addition orders, ionic strength, concentration of HA, and foreign cations
on the Co(II) sorption on γ-Al2O3 in the presence of HA were investigated. The sorption isotherms of Co(II) on γ-Al2O3 in the absence and presence HA were also studied and described by using S-type sorption model. The experimental results showed
that the Co(II) sorption is strongly dependent on the pH values, concentration of HA, but independent of HA/Co(II) addition
orders, ionic strength, and foreign cations in the presence of HA under our experimental conditions. The results also indicated
that HA enhanced the Co(II) sorption at low pH, but reduced the Co(II) sorption at high pH. It was hypothesized that the significantly
positive influence of HA at low pH on the Co(II) sorption on γ-Al2O3 was attributed to strong surface binding of HA on γ-Al2O3 and subsequently the formation of ternary surface complexes such as ≡S-OOC-R-(COO−)xCo2−x. Chemi-complexation may be the main mechanism of the Co(II) sorption on γ-Al2O3 in the presence of HA. 相似文献
Quality inspection is essential in preventing defective products from entering the market. Due to the typically low percentage of defective products, it is generally challenging to detect them using algorithms that aim for the overall classification accuracy. To help solve this problem, we propose an ensemble learning classification model, where we employ adaptive boosting (AdaBoost) to cascade multiple backpropagation (BP) neural networks. Furthermore, cost-sensitive (CS) learning is introduced to adjust the loss function of the basic classifier of the BP neural network. For clarity, this model is called a CS-AdaBoost-BP model. To empirically verify its effectiveness, we use data from home appliance production lines from Bosch. We carry out tenfold cross-validation to evaluate and compare the performance between the CS-AdaBoost-BP model and three existing models: BP neural network, BP neural network based on sampling, and AdaBoost-BP. The results show that our proposed model not only performs better than the other models but also significantly improves the ability to identify defective products. Furthermore, based on the mean value of the Youden index, our proposed model has the highest stability.
The infinitely many symmetries with arbitrary functions of timet for the potential modified Kadomtsev-Petviashvilli equation are obtained by using a simple direct method. These symmetries constitute a generalization of the well-knownW algebra. 相似文献