Multi-Sensor Chip for Monitoring Key Parameters in Bioprocesses

被引:5
|
作者
Rusli, Nurul Izni [1 ]
Vincentini, Irene Pia [2 ,3 ]
Ceyssens, Frederik [4 ]
Kraft, Michael [4 ]
机构
[1] MNS Univ Leuven, KU Leuven, Dept Elect Engn ESAT MNS, B-3001 Leuven, Belgium
[2] Politecn Milan, Dipartimento Elettron Informaz & Bioingn DEIB, I-20133 Milan, Italy
[3] Eletech SRL, Via Garcia Lorca, I-23871 Lomagna Lc, Italy
[4] Univ Leuven, KU Leuven, Dept Elect Engn ESAT MICAS, B-3001 Leuven, Belgium
关键词
Sensors; Temperature sensors; Temperature measurement; Electrodes; Biosensors; Monitoring; Impedance; Amperometric; bioprocesses monitoring; cell density; dissolved oxygen; electrochemical and biological sensors; glucose; impedimetric; integrated multi-sensor; pH; potentiometric; temperature; DISSOLVED-OXYGEN; PH SENSORS; SPECTROSCOPY; GLUCOSE; POLYANILINE; TEMPERATURE; MICROSENSOR; BIOSENSORS; PLATFORM; SYSTEM;
D O I
10.1109/JSEN.2021.3094034
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a feasibility study on the integration of multiple biosensors based on amperometric, potentiometric, and impedimetric detection techniques, as well as physical sensors on a single chip. The sensor chip comprises six sensors for in-situ monitoring of important process parameters in a bioprocess: glucose, lactate, pH, cell density, dissolved oxygen concentration, and temperature. The wafer-level parallel fabrication process of multiple microsensors on a single substrate involves four relatively simple processes. The fabricated enzyme sensors were tested with a linear working range up to a concentration of 10 mM for the glucose and lactate sensors and show a fast response time of 20 s. The integrated pH sensor was governed by a near-Nernstian equation with a sensitivity of 60.8 +/- 2.4 mV/pH. Cell density, dissolved oxygen, and temperature sensor were also electrically tested. Results obtained from experimental measurements can be considered a promising step towards the realization of a real-time and parallel in-situ measurement platform for bioprocesses.
引用
收藏
页码:19675 / 19683
页数:9
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