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12,292 results on '"Zhao, Yuan"'

130. Effect of Degree of Polymerization of Amylose on in Vitro First-Order Digestion Kinetics of Ternary Complexes of Seedless Breadfruit Starch, Lauric Acid and β-Lactoglobulin

Author

LI Bo, ZHANG Yanjun, ZHAO Yuan, HUANG Chongxing

Subjects
degree of polymerization of amylose, starch ternary complexes, logarithm of slope pattern digestion kinetics, multiscale supramolecular structure, statistical analysis, Food processing and manufacture, TP368-456
Abstract

Objective: This study aimed to investigate the influence of degree of polymerization of amylose on the digestibility characteristics of its ternary complexes. Methods: Ternary complexes of seedless breadfruit starch, prepared by separately mixing amyloses extracted from five cultivars (GJS, FSS, SMS, SS and CS) with amylopectin extracted from GJS, having the highest degree of polymerization among amylopectins from these cultviars, at a 1:1 ratio were prepared with lauric acid (LA) and β-lactoglobulin (β-LG) and characterized for supramolecular structure and digestion kinetics by high-performance size-exclusion chromatography (HPSEC), X-ray diffraction (XRD), small-angle X-ray scattering (SAXS), differential scanning calorimetry (DSC), atomic force microscopy (AFM), and Fourier transform infrared (FTIR) spectroscopy. All five complex samples displayed obvious characteristic peaks of ternary complexes, V-type crystalline structure and rodlike molecular configuration. As the degree of polymerization of amylose increased, the complexing index (CI) (from 68.81% to 83.55%), relative crystallinity (from 21.10% to 28.35%), short-range order (from 0.44 to 0.63), molecular mass (from 2.90 × 106 to 8.02 × 106 Da), molecular density index (from 3.50 to 23.07 g/(mol·nm3), gelation temperature (from 98.52 to 103.71 ℃), and gelation enthalpy (from 13.95 to 18.73 J/g), second-order kinetic rate constant (from 1.00 × 10-2 to 2.92 × 10-2 min-1) increased, while the semicrystalline lamellae thickness (from 3.20 to 4.82 nm), mass fractal dimension (from 1.28 to 1.81), characteristic length of crystallite unit (from 6.33 to 7.01 Å), radius of gyration (from 70.31 to 93.94 nm), and nanosurface “blocklet” size (from 7.05 to 15.03 nm) dropped, which led to a decrease of in vitro glycemic index (from 78.83 to 85.71). Statistical analysis showed that the degree of polymerization of amylose could remarkably affect the multiscale superstructure of the ternary complexes, which in turn could change its digestion kinetics. The results provide new theoretical guidance for the production of starch-based multicomponent foods.

Published
2023
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131. Off-farm income promotes energy transition in the Pan-Third Pole cross-national region

Author

Xiao-Qi Zheng, Xiang-Bo Xu, Chang Li, Chao Fu, and Zhao-Yuan Fan

Subjects
Off-farm income, Rural household, Energy consumption, Energy transition, Pan-Third Pole region, Meteorology. Climatology, QC851-999, Social sciences (General), H1-99
Abstract

The Pan-Third Pole region comprises multiple nations affected by climate vulnerability and energy inequality, wherein promoting energy transitions in rural households would provide a path to combat climate change. Identifying the factors that drive rural household energy consumption and the transition is important. This study performed a micro-survey of 1060 rural households in five countries in the Pan-Third Pole region and empirically analyzed the relationships between off-farm income, energy consumption, and energy transitions. The off-farm income of rural households was found to have a significantly positive effect (p

Published
2023
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132. Determination of impact parameter in high-energy heavy-ion collisions via deep learning

Author

Xiang, Pei, Zhao, Yuan-Sheng, and Huang, Xu-Guang

Subjects
High Energy Physics - Phenomenology
Abstract

In this study, Au+Au collisions with the impact parameter of $0 \leq b \leq 12.5$ fm at $\sqrt{s_{NN}} = 200$ GeV are simulated by the AMPT model to provide the preliminary final-state information. After transforming these information into appropriate input data (the energy spectra of final-state charged hadrons), we construct a deep neural network (DNN) and a convolutional neural network (CNN) to connect final-state observables with impact parameters. The results show that both the DNN and CNN can reconstruct the impact parameters with a mean absolute error about $0.4$ fm with CNN behaving slightly better. Then, we test the neural networks for different beam energies and pseudorapidity ranges in this task. It turns out that these two models work well for both low and high energies. But when making test for a larger pseudorapidity window, we observe that the CNN shows higher prediction accuracy than the DNN. With the method of Grad-CAM, we shed light on the `attention' mechanism of the CNN model.

Published
2021
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133. 'Supported Ziegler-Natta catalysts from MgCl2·nROH precursors and its catalytic behaviors for diene copolymerization'

Author

FAN Xun-zhang, ZHAO Yuan-jin, LUO Shu-fang, HE Ai-hua?

Subjects
ziegler natta catalyst， magnesium chloride，butadiene isoprene copolymerization，chemical activation，catalytic efficiency，, Organic chemistry, QD241-441, Chemical engineering, TP155-156, Chemicals: Manufacture, use, etc., TP200-248
Abstract

The precursor MgCl2 · nROH of supported Ziegler Natta catalyst was prepared by chemical activation method, and different pre catalysts TiCl4/MgCl2 (C-Cat) were prepared by loading TiCl4. At the same time, the pre catalysts TiCl4/MgCl2 (P-Cat) and C-Cat were prepared by physical grinding method for comparison, and the copolymerization behavior of butadiene isoprene catalyzed by different pre catalysts was further studied. Research has found that the precursor particles prepared with n-propanol have a rougher surface and a larger specific surface area (51.5 m2/g). They exhibit high catalytic efficiency (6238 g/g) in catalyzing the copolymerization of butadiene and isoprene, which is 32.8% higher than the P-Cat catalytic efficiency. The Ziegler Natta pre catalysts prepared by different activation methods all exhibit high trans-1,4- structure oriented polymerization characteristics, with a trans-1,4- structure mole fraction of isoprene segments greater than 94%

Published
2024
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