Enzyme Multilayers on Graphene-Based FETs for Biosensing Applications

被引:11
作者
Bliem, Christina [1 ]
Piccinini, Esteban [2 ]
Knoll, Wolfgang [1 ]
Azzaroni, Omar [2 ]
机构
[1] AIT Austrian Inst Technol GmbH, Biosensor Technol, Vienna, Austria
[2] Univ Nacl La Plata CONICET, INIFTA Inst Invest Fisicoquim Teor & Aplicadas IN, Dept Quim, Fac Ciencias Exactas, La Plata, Buenos Aires, Argentina
来源
ENZYME NANOARCHITECTURES: ENZYMES ARMORED WITH GRAPHENE | 2018年 / 609卷
关键词
FIELD-EFFECT TRANSISTOR; UREA; PROTEIN; ARGININE; SENSORS; PH; IMMOBILIZATION; ELECTRODES; FOOD; ION;
D O I
10.1016/bs.mie.2018.06.001
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Electrochemical sensors represent a powerful tool for real-time measurement of a variety of analytes of much significance to different areas, ranging from clinical diagnostics to food technology. Point-of-care devices which can be used at patient bedside or for online monitoring of critical parameters are of great importance in clinical daily routine. In this work, portable, low-cost electrochemical sensors for a fast and reliable detection of the clinically relevant analyte urea have been developed. The intrinsic pH sensitivity of reduced graphene oxide (rGO)-based field-effect transistors (FETs) was exploited to monitor the enzymatic hydrolysis of urea. The functionalization of the sensor platform using the layer-by-layer technique is especially advantageous for the immobilization of the biorecognition element provided that this approach preserves the enzyme integrity as well as the rGO surface. The great selectivity of the enzyme (urease) combined with the high sensitivity of rGO-based FETs result in the construction of urea biosensors with a limit of detection (LOD) of 1 mu M and a linear range up to 1mM. Quantification of Cu2+ with a LOD down to 10 nM was performed by taking advantage of the specific inhibition of urease in the presence of heavy metals. These versatile biosensors offer great possibilities for further development of highly sensitive enzyme-based FETs for real-time, label-free detection of a wide variety of clinically relevant analytes.
引用
收藏
页码:23 / 46
页数:24
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