On-line removal of redox-active interferents by a porous electrode before amperometric blood glucose determination.
On-line removal of redox-active interferents by a porous electrode before amperometric blood glucose determination.
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DOI：
10.1016/j.aca.2012.01.008
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发表时间：
2012-03
影响因子：
6.2
通讯作者：
Chunyan Deng;Yong Peng;L. Su;You-nian Liu;F. Zhou
中科院分区：
文献类型：
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作者：
Chunyan Deng;Yong Peng;L. Su;You-nian Liu;F. Zhou
多孔网状玻碳(RVC)电极和圆盘电极串联在电化学流动池中，用于在安培葡萄糖检测前电解去除干扰。当流速为0.1mLmin−1时，上游RVC电极的电解效率为100%。对乙酰氨基酚、抗坏血酸和尿酸等潜在的干扰物质可以通过在RVC电极上的电解完全消除。在金盘电极下游预制了葡萄糖氧化酶(GOD)和二茂铁基-1-十一硫醇的混合单分子膜作为电流型葡萄糖传感器。安培电流与葡萄糖浓度的关系在三个数量级内呈良好的线性关系。血糖测量也被发现是重复性的(RSD<；3.5%)和准确的。与化学发光法不同，该装置不需要使用致癌底物，而且葡萄糖传感器的性能与样品中存在的氧无关。在RVC电极只需要最小的清洗，GOD修饰的电极保持稳定一周的基础上，电化学流动池应该能够自动在线去除其他类型的酶生物传感器的氧化还原干扰物。
A porous reticulated vitreous carbon (RVC) electrode and a disk electrode coupled in tandem in an electrochemical flow cell has been used for electrolytic removal of interferents before amperometric glucose detection. The electrolytic efficiency at the upstream RVC electrode is 100% at a flow rate of 0.1mLmin−1or lower. Potential interferents such as acetaminophen, ascorbic acid, and uric acid can be completely eliminated by electrolysis at the RVC electrode. A mixed monolayer comprising glucose oxidase (GOD) and ferrocenyl-1-undecanethiol preformed at the downstream gold disk electrode was used as a mediator-based amperometric glucose sensor. The dependence of the amperometric current on the glucose concentration exhibits good linearity across over three orders of magnitude. The glucose measurements were also found to be reproducible (RSD<3.5%) and accurate. Unlike the chemiluminescence method, this device obviates the use of carcinogenic substrates and the glucose sensor performance is independent of the oxygen present in sample. On the basis that the RVC electrode requires minimal cleanup and the GOD-modified electrode remains stable for a week, the electrochemical flow cell should be amenable for automated on-line removal of redox interferents for other types of enzyme-based biosensors.