...
首页> 外文期刊>Analytical and Bioanalytical Chemistry >SECM visualization of the spatial variability of enzyme-polymer spots. 3. Enzymatic feedback mode
【24h】

SECM visualization of the spatial variability of enzyme-polymer spots. 3. Enzymatic feedback mode

机译:SECM可视化的酶聚合物斑点的空间变异性。 3.酶反馈模式

获取原文
获取原文并翻译 | 示例
           

摘要

The responses of a PQQ-GDH entrapped in a polymer structure to mixtures of glucose and maltose were evaluated. Each compound was considered in the concentration range of 0–0.2 mM. Imaging was performed at constant height in the enzymatic feedback mode of scanning electrochemical microscopy (SECM). The enzyme-polymer spot was discretized into 15 × 15 μm2 substructures which were treated as independent individual microsensors. The response surfaces of the individual microsensors were approximated with a linear regression model. The coefficients in the derived equations represent contributions from topography, glucose concentration, maltose concentration, and the competition of glucose and maltose for the same active site of PQQ-GDH to the measured signal. The ratio of glucose and maltose contributions to the current at the SECM tip was constant for all microsensors and it was predominantly determined by the ratio of the turnover rates of both analytes in the PQQ-GDH catalyzed reaction. Using the difference between these coefficients, it was possible to select the microsensors within the overall enzyme-polymer spot that provided the best data for quantifying glucose and maltose by the artificial neural network used. The quantification of glucose and maltose was successful, except when the contributions from the components of the mixture were n g =k n units of glucose and simultaneously n m = 1.86(1−k)n units of maltose, for each constant n > 0 and k∈<0,1>.
机译:评估了聚合物结构中截留的PQQ-GDH对葡萄糖和麦芽糖混合物的响应。每种化合物的浓度范围为0-0.2 mM。在扫描电化学显微镜(SECM)的酶反馈模式下以恒定高度进行成像。酶-聚合物斑点被离散成15×15μm2的亚结构,被视为独立的单个微传感器。单个微传感器的响应面通过线性回归模型进行近似。导出方程式中的系数表示地形,葡萄糖浓度,麦芽糖浓度以及葡萄糖和麦芽糖对PQQ-GDH相同活性位点的竞争对测量信号的贡献。对于所有微传感器而言,葡萄糖和麦芽糖对SECM尖端电流的贡献之比是恒定的,并且主要由PQQ-GDH催化反应中两种分析物的转化率之比确定。利用这些系数之间的差异,有可能在整个酶-聚合物点中选择微传感器,从而通过所使用的人工神经网络为量化葡萄糖和麦芽糖提供最佳数据。葡萄糖和麦芽糖的定量成功,但当混合物成分的贡献为ng = kn葡萄糖单位,同时nm = 1.86(1-k)n单位麦芽糖时,每个常数n> 0和k∈<0,1>。

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