光谱学与光谱分析 |
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Research on the Reaction Dynamics between Peroxynitrite and Tyrosine Catalyzed with Mimic Enzyme through Flow Injection Analyzer |
AN Xue-jing, LUO Yun-jing*, ZHANG Chen-yang |
College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China |
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Abstract As a highly active free radical in vivo, peroxynitrite can damage various biological macromolecules and cause a series of major diseases, which is of great significance to determine its content and reactive mechanism. It is very difficult to capture the dynamic process of peroxynitrite due to its active property and fast reacted rate. In this paper, we firstly explored the kinetic characteristics of peroxynitrite and tyrosine with the presence of Hemoglobin and Hemin by using flow injection analyzer. The results showed that the oxidation processes of peroxynitrite and tyrosine catalyzed with hemoglobin and hemin were in accordance with Michaelis-Menten’s dynamics law; Based on the Michaelis constant (Km) and the maximum initial rate (Vmax), we deduced the reaction mechanism that peroxynitrite, catalyzed by mimic enzymes, directly oxidized tyrosine combined with mimic enzymes, rather than decomposed to ·OH and O-2·; In addition, we detected the rate constant of the reaction catalyzed by these two kinds of enzymes at different temperature and pH, resulting that the optimum conditions of hemoglobin to catalyze this system were 25 ℃ and pH 8, the rate constant was 1.035×106 mol·L-1·s-1, while hemin was 37 ℃ and pH 9.5, the rate constant was 6.842×105 mol·L-1·s-1; Comparing the kinetic parameters, KmHb(4.46 μmol·L-1)<KHeminm(4.90 μmol·L-1), VHbmax(0.072 ΔIF/s)>VHeminmax(0.026 ΔIF/s), we discovered that the rate constant of hemoglobin in optimum condition was greater than that in hemin, and the catalytic activity of hemoglobin was higher than that of hemin. All these results have provided kinetic parameters for the study of determining the content of peroxynitrite and exploring its reaction mechanism with enzymatic method. It also laid a theoretical foundation for developing new diagnosis technology to prevent and cure diseases caused by free radicals in vivo.
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Received: 2015-12-14
Accepted: 2016-04-19
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Corresponding Authors:
LUO Yun-jing
E-mail: luoyj@bjut.edu.cn
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