Institution
Henan University of Technology
Education•Zhengzhou, China•
About: Henan University of Technology is a education organization based out in Zhengzhou, China. It is known for research contribution in the topics: Catalysis & Chemistry. The organization has 7648 authors who have published 6503 publications receiving 73067 citations. The organization is also known as: Hénán Gōngyè Dàxué.
Topics: Catalysis, Chemistry, Starch, Adsorption, Extraction (chemistry)
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a general method for investigating the eigenvalue problems of a rotor system with uncertain parameters is presented and the recurrence perturbation formulas based on the Riccati transfer matrix method are derived and used for calculating the first and secondorder perturbations of eigenvalues and their respective eigenvectors for the rotor system.
Abstract: A general method for investigating the eigenvalue problems of a rotor system with uncertain parameters is presented in this paper. The recurrence perturbation formulas based on the Riccati transfer matrix method are derived and used for calculating the first- and secondorder perturbations of eigenvalues and their respective eigenvectors for the rotor system with uncertain parameters. In addition, these formulas can be used for investigating the independent, and repeated, as well as the complex eigenvalue problems. The general method is called the Riccati perturbation transfer matrix method (Riccati-PTMM). The formulas for calculating the mean value, variance, and covariance of the eigenvalues and eigenvectors of the rotor system with random parameters are also given. Riccati-PTMM is used for calculating the random eigenvalues of a simply supported Timoshenko beam and a test rotor supported by two oil bearings. The results show that the method is accurate and efficient.
40 citations
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TL;DR: In this article, a double decarboxylative cross-coupling catalyzed by copper and silver has been developed for the flexible synthesis of alkenes and alkynes from readily affordable substrates.
Abstract: A novel double decarboxylative cross-coupling catalyzed by copper and silver has been developed. This method provides a practical approach for the flexible synthesis of alkenes and alkynes from the readily affordable substrates.
40 citations
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TL;DR: In this article, the particle size, molecular weight distribution, secondary structure, and nanostructures of arachin and conarachin of peanut protein isolates produced using ultrasound-assisted extraction, as well as the characteristics of their emulsions were investigated.
Abstract: The present study aimed to investigate the particle size, molecular weight distribution, secondary structure, and nanostructures of arachin and conarachin of peanut protein isolates produced using ultrasound-assisted extraction, as well as the characteristics of their emulsions. The results indicated that ultrasound-assisted extraction could improve the emulsifying properties of arachin and conarachin. Arachin obtained via ultrasound-assisted extraction had smaller particle size, lower content of high molecular weight material, a higher percentage of α-helix structure, and a higher number of exposed hydrophobic groups compared with those obtained using the regular alkali soluble and acid precipitation method. However, no obvious changes in the secondary structure of conarachin after ultrasound-assisted extraction were observed. The least amount of droplet flocculation and smallest values of the averaged particle size of emulsions stabilized by arachin and conarachin were obtained using an ultrasound time of 30 min, which also produced the highest absolute values of zeta potential. Ultrasound-assisted extraction changed the composition and structure of arachin, which led to a marked improvement in the emulsifying properties. Ultrasound-assisted extraction has a great application potential in the plant protein industry.
40 citations
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TL;DR: Six hull-less barley cultivars widely grown in China were roller-milled to produce bran, shorts and flour fractions to investigate the distribution and molecular characteristics of β-glucan andPurification using α-amylase and β-xylanase in combination with pH adjustment and dialysis produced high purity β- glucan preparations.
Abstract: Six hull-less barley cultivars widely grown in China were roller-milled to produce bran, shorts and flour fractions. The distribution and molecular characteristics of β-glucans from the three roller-milled fractions were investigated. The β-glucan contents in the six hull-less barley cultivars varied from 4.96% to 7.62%. For all the six cultivars, the shorts fraction contained the highest concentration of β-glucan (8.12–13.01%), followed by bran (6.15–7.58%) and flour (2.48–2.95%). Crude β-glucans were prepared from the three roller-milled fractions using aqueous sodium carbonate (pH 10). These preparations contained 45.38–71.41% β-glucan, 10.81–17.26% arabinoxylan, 2.6–9.6% protein, 2.7–9.0% starch, and 5.23–9.68% ash. Purification using α-amylase and β-xylanase in combination with pH adjustment and dialysis produced high purity β-glucan preparations (91–95%). The molecular weight (Mw) of β-glucan preparations from roller-milled fractions ranged from 117,600 to 852,400 g/mol. β-Glucan from flour had higher Mw than those from shorts and bran within the same cultivar, and β-glucan preparations from bran had the lowest Mw.
40 citations
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TL;DR: In this article, a new approach has been developed for preparing microporous mullite ceramics based on kyanite obtained by foaming with aluminate cement as the gel-former.
40 citations
Authors
Showing all 7708 results
Name | H-index | Papers | Citations |
---|---|---|---|
Xin Li | 114 | 2778 | 71389 |
Yang Liu | 82 | 1695 | 33657 |
Qing-Hua Qin | 52 | 505 | 9939 |
Dong-Qing Wei | 48 | 418 | 7839 |
Feng Qi | 47 | 581 | 10687 |
Jian Jian Li | 46 | 119 | 7577 |
Hongshun Yang | 46 | 165 | 5539 |
Shuangqiang Chen | 41 | 73 | 5539 |
Fei Xu | 40 | 314 | 6102 |
Dennis R. Salahub | 39 | 132 | 9259 |
Lingbo Qu | 37 | 291 | 4894 |
Yuting Wang | 37 | 80 | 11820 |
Zhiyong Jiang | 36 | 135 | 3559 |
Baoping Tang | 31 | 83 | 2455 |
Jinliang Liu | 30 | 107 | 2317 |