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参与酶促合成氨芐青霉素和氨头孢菌素的化合物的离解常数和溶解度。

Ionization constants and solubility of compounds involved in enzymatic synthesis of aminopenicillins and aminocephalosporins.

机构信息

State Research Institute of Genetics and Selection of Industrial Microorganisms (GosNIIgenetika), 1st Dorozhny proezd, 1, Moscow, 117545, Russia.

出版信息

Bioprocess Biosyst Eng. 2011 Nov;34(9):1103-17. doi: 10.1007/s00449-011-0560-9. Epub 2011 Jun 23.

Abstract

The article deals with experimental determination of ionization constants and solubility for the compounds (target products, initial β-lactams, acylating agents and by-products) involved in enzymatic synthesis of some therapeutically used aminopenicillins and aminocephalosporins, namely ampicillin, amoxicillin, cephalexin, cephadroxil, cephaloglycin, cefaclor, cefprozil, cefatrizine. Methodology of investigations and the evaluation of experimental data for the determination of ionization constants and solubility of the different type electrolytes are presented. Applications of the methods based on acid-base potentiometric titration and on determination of solubility-pH dependence of assayed substances are discussed. The original data on ionization constants and solubility of amoxicillin, cefprozil, cefatrizine, cephadroxil and initial β-lactams for production of cefaclor, cefprozil and cefatrizine, as well as solubility of by-product D-(-)-p-hydroxyphenylglycine are presented. Experimentally determined parameters and constants available in the literature for all abovementioned aminopenicillins and aminocephalosporins are collected. These data might be used for choice of the conditions of both processes: the enzymatic synthesis and the isolation of the product from reaction mixture.

摘要

本文涉及参与某些治疗用氨青霉素和氨头孢菌素(即氨苄青霉素、阿莫西林、头孢氨苄、头孢羟氨苄、头孢甘氨酸、头孢克洛、头孢丙烯、头孢曲嗪)酶合成的化合物(目标产物、初始β-内酰胺、酰化剂和副产物)的电离常数和溶解度的实验测定。介绍了用于测定不同类型电解质的电离常数和溶解度的研究方法和实验数据评估。讨论了基于酸碱电位滴定和测定被测物质的溶解度-pH 依赖性的方法的应用。本文提供了阿莫西林、头孢丙烯、头孢曲嗪、头孢羟氨苄和用于生产头孢克洛、头孢丙烯和头孢曲嗪的初始β-内酰胺的电离常数和溶解度的原始数据,以及副产物 D-(-)-对羟基苯甘氨酸的溶解度数据。收集了所有上述氨青霉素和氨头孢菌素的实验确定的参数和文献中可用的常数。这些数据可用于选择酶合成和从反应混合物中分离产物的条件。

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