Henan University of Technology

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.

Modification and Application of Dietary Fiber in Foods

Abstract: Dietary fiber plays an important role in human health. The modification and application of dietary fiber in foods is reviewed with respect to definition and classification and methods for measurement, extraction, and modification of dietary fiber. The supplementation of dietary fiber for flour, meat, and dairy products is also reviewed. Finally, the benefits and risks of increasing consumption of dietary fiber are discussed.

Silver-catalyzed radical tandem cyclization: an approach to direct synthesis of 3-acyl-4-arylquinolin-2(1H)-ones.

Abstract: A silver-catalyzed efficient and practical synthesis of 3-acyl-4-arylquinolin-2(1H)-ones or 3-acyl-4-aryldihydroquinolin-2(1H)-ones through intermolecular radical addition/cyclization in aqueous solution is reported. This method provides a novel, highly efficient, and straightforward route to substituted quinolin-2-ones or 3,4-dihydroquinolin-2-ones in one step. A possible mechanism for the formation of quinolin-2-ones is proposed.

Effects of fermentation by lactic acid bacteria on the antigenicity of bovine whey proteins

Abstract: BACKGROUND: The main whey proteins α-lactalbumin (α-LA) and β-lactoglobulin (β-LG) are considered as the major allergens in cow's milk. Microbial fermentation can produce some proteolytic enzymes, which can induce the degradation of milk protein allergens. In this study, the effects of fermentation by lactic acid bacteria on the antigenicity of α-LA and β-LG were investigated using indirect competitive ELISA. Meanwhile, the proteolysis of milk proteins was detected by TNBS assay and SDS-PAGE electrophoresis. RESULTS: Fermentation by lactic acid bacteria could significantly reduce the antigenicity of α-LA and β-LG in skim milk. Combined strains of Lactobacillus helveticus and Streptococcus thermophilus were the most effective in reducing the antigenicity of both whey proteins. In addition, α-LA and β-LG antigenicity decreased to a lower value at 6 h of fermentation and at 0.5 d of cold storage by fermentation with the combined strains. The results of TNBS assay and SDS-PAGE electrophoresis showed that lactic acid bacteria strains used in this study hydrolysed whey proteins only to a limited extent. CONCLUSION: The fermentation with lactic acid bacteria is an effective way to reduce whey proteins antigenicity. Copyright © 2010 Society of Chemical Industry

Catalytic Properties of Lithium-Doped ZnO Catalysts Used for Biodiesel Preparations

Abstract: Biodiesel produced by the transesterification of vegetable oils or animal fats with short-chain alcohols (typically methanol) is a promising alternative fuel for diesel engines, because of the limited resources of fossil fuels and environmental concerns. In this work, Li/ZnO catalysts were prepared using an impregnation method followed by calcinations, and then they were tested for soybean oil transesterification. It was determined that Li/ZnO catalysts exhibited good catalytic activities, and the catalytic performance was greatly dependent on (i) the loading amount of lithium and (ii) the calcination temperature. This Li/ZnO catalyst, at an amount of 5 wt %, resulted in a soybean oil conversion of 96.3% in 3 h using a reflux of methanol and a 12:1 molar ratio of methanol to oil. Moreover, the catalyst was characterized using X-ray diffractometry (XRD), X-ray photoelectron spectroscopy (XPS), infrared (IR) spectroscopy, thermogravimetry−differental thermal analysis (TG-DTA), and the Hammett titration meth...

T-PBFT: An EigenTrust-based practical Byzantine fault tolerance consensus algorithm

Abstract: Blockchain with these characteristics of decentralized structure, transparent and credible, time-series and immutability, has been considering as a promising technology. Consensus algorithm as one of the core techniques of blockchain directly affects the scalability of blockchain systems. Existing probabilistic finality blockchain consensus algorithms such as PoW, PoS, suffer from power consumptions and low efficiency; while absolute finality blockchain consensus algorithms such as PBFT, HoneyBadgerBFT, could not meet the scalability requirement in a large-scale network. In this paper, we propose a novel optimized practical Byzantine fault tolerance consensus algorithm based on EigenTrust model, namely T-PBFT, which is a multi-stage consensus algorithm. It evaluates node trust by the transactions between nodes so that the high quality of nodes in the network will be selected to construct a consensus group. To reduce the probability of view change, we propose to replace a single primary node with a primary group. By group signature and mutual supervision, we can enhance the robustness of the primary group further. Finally, we analyze T-PBFT and compare it with the other Byzantine fault tolerant consensus algorithms. Theoretical analysis shows that our T-PBFT can optimize the Byzantine fault-tolerant rate, reduce the probability of view change and communication complexity.