Modeling and optimization of a multi-enzyme electrokinetically driven multiplexed microchip for simultaneous detection of sugars
Modeling and optimization of a multi-enzyme electrokinetically driven multiplexed microchip for simultaneous detection of sugars
复制标题
用于同时检测糖的多酶电动驱动多重微芯片的建模和优化
DOI：
10.1007/s10404-008-0393-2
复制
发表时间：
2009
影响因子：
2.8
通讯作者：
J. Lammertyn
中科院分区：
文献类型：
--
作者：
Y. T. Atalay;P. Verboven;S. Vermeir;N. Vergauwe;B. Nicolaï;J. Lammertyn
建立了一种基于模型的优化方法，用于优化微流控芯片在单个微流控通道中同时酶定量蔗糖、D-葡萄糖和D-果糖的方法。该测定基于测量反应产物NADH的浓度变化，其通过特定酶促反应的级联与那些组分的浓度化学计量相关。一个降阶的数学模型，结合物种传输，酶反应，和电动整体流动的开发来描述的微流控装置的操作。使用该模型，通过操纵过程条件（例如样品和试剂体积以及流速）来优化装置以最小化传感器响应时间并最大化信号输出。根据该模拟研究，在优化的微芯片中在2.5分钟内定量所有糖。测定的并行实施可以进一步提高通量。此外，与微孔板形式测定相比，消耗的试剂量大幅减少。该方法是通用的，可以很容易地适应其他酶微流控芯片。
A model-based methodology was developed to optimize microfluidic chips for the simultaneous enzymatic quantification of sucrose, d-glucose and d-fructose in a single microfluidic channel with an integrated optical detection system. The assays were based on measuring the change in concentration of the reaction product NADH, which is stoichiometrically related to the concentration of those components via cascade of specific enzymatic reactions. A reduced order mathematical model that combines species transport, enzyme reaction, and electrokinetic bulk flow was developed to describe the operation of the microfluidic device. Using this model, the device was optimized to minimize sensor response time and maximize signal output by manipulating the process conditions such as sample and reagent volume and flow rate. According to this simulation study, all sugars were quantified within 2.5 min in the optimized microchip. A parallel implementation of the assays can further improve the throughput. In addition, the amount of consumed reagents was drastically reduced compared to microplate format assays. The methodology is generic and can easily be adapted to other enzymatic microfluidic chips.
DOI：
10.1016/j.trac.2006.11.015
发表时间：
2007
期刊：
Trends in analytical chemistry : TRAC
影响因子：
--
作者：
Xiaomi Xu;Ling Li;S. Weber
通讯作者：
Xiaomi Xu;Ling Li;S. Weber