DocumentCode :
2022316
Title :
Chemical field-effect transistor with constant-voltage constant-current drain-source readout circuit
Author :
Abdullah, Wan Fazlida Hanim ; Othman, Masuri ; Ali, Mohd Alaudin Mohd
Author_Institution :
Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2009
fDate :
16-18 Nov. 2009
Firstpage :
219
Lastpage :
221
Abstract :
Response of Chemical Field-Effect Transistor (CHEMFET) electrochemical sensors are taken from the output of a readout interface circuit that maintains constant drain-source voltage and current levels. We employ the readout circuit for the purpose of supervised learning training data collection. Sample solutions are prepared by keeping the main ion concentration constant while the activity of an interfering ion varied based on the fixed interference method. Results show that the voltage response demonstrates linear relationship to the ion concentration within the detection limit. However, noise in the form of abrupt and random changes in DC levels reduces correlation and increases mean square error between similarly repeated measurements. We find that referencing the voltage response to the sensor response in DIW prior to measurement greatly improves the repeatability. The process of approximating ionic concentration level is achieved up to 80% recognition by feeding the readout circuit output to a neural network post-processing stage.
Keywords :
electrochemical sensors; field effect transistor circuits; ion sensitive field effect transistors; mean square error methods; neural chips; readout electronics; CHEMFET electrochemical sensor; DC level; chemical field-effect transistor; constant-voltage constant-current drain-source readout circuit; fixed interference method; ion concentration; mean square error; neural network post-processing stage; readout interface circuit; sensor response; supervised learning training data collection; voltage response; Chemical sensors; Circuits; FETs; Interference; Mean square error methods; Noise level; Noise reduction; Supervised learning; Training data; Voltage; CHEMFET; electrochemical sensors; readout circuit; supervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development (SCOReD), 2009 IEEE Student Conference on
Conference_Location :
UPM Serdang
Print_ISBN :
978-1-4244-5186-9
Electronic_ISBN :
978-1-4244-5187-6
Type :
conf
DOI :
10.1109/SCORED.2009.5443112
Filename :
5443112
Link To Document :
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