...
首页> 外文期刊>Journal of Biochemical and Biophysical Methods >Membrane entrapped Saccharomyces cerevisiae in a biosensor-like device as a generic rapid method to study cellular metabolism.
【24h】

Membrane entrapped Saccharomyces cerevisiae in a biosensor-like device as a generic rapid method to study cellular metabolism.

机译:膜将酿酒酵母(Saccharomyces cerevisiae)包裹在类似生物传感器的装置中,作为研究细胞代谢的通用快速方法。

获取原文
获取原文并翻译 | 示例
           

摘要

We describe a new, faster and convenient method to study some metabolic characteristics - by the successful application of immobilized yeast cells (S. cerevisiae) in a microbial biosensor-like device. Microbial biosensors consist of microorganisms immobilized on the surface of a membrane or in a gel, in close contact with a transducer. Almost all works published to date have used biosensors for analyses in which a concentration-related property of the external medium is measured. A different approach is presented here; we have successfully used S. cerevisiae and a carbon dioxide electrode as the main components of a biosensor-like device, used as a proof of concept, for a system useful to characterize metabolic parameters of the microbial cells immobilized on a carbon dioxide electrode. The biosensor-like device we are presenting allows us to calculate Michaelis-Menten parameters related to the kinetics of transport and degradation of several carbohydrates (i.e., glucose, fructose, galactose, sucrose and xylose, with K(m(app)) of 6.0, 5.8, 0.9, 2.0, and 147 mM, respectively), and the study of the kinetics of expression of non-constitutive proteins related to the transport and degradation of galactose.
机译:我们描述了一种新的,更快,更方便的方法来研究某些代谢特征-通过将固定化酵母细胞(S. cerevisiae)成功应用于微生物传感器样设备中。微生物生物传感器由固定在膜表面或凝胶中并与换能器紧密接触的微生物组成。迄今为止,几乎所有已发表的著作都使用生物传感器进行分析,从而测量外部介质的浓度相关特性。这里提出了一种不同的方法。我们已经成功地将酿酒酵母和二氧化碳电极用作类似生物传感器的设备的主要组件,作为概念验证,用于可用于表征固定在二氧化碳电极上的微生物细胞代谢参数的系统。我们正在展示的类似于生物传感器的设备使我们能够计算与几种碳水化合物(例如,葡萄糖,果糖,半乳糖,蔗糖和木糖,K(m(app))的运输和降解动力学)相关的Michaelis-Menten参数。分别为5.8、0.9、2.0和147 mM),以及与半乳糖的运输和降解相关的非组成蛋白表达动力学的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号