Title :
Integrated solid-state optoelectronic sensor system for biochemical detection and quantification
Author :
Joseph, Clement ; Naoum, Hanae ; Boukadoum, Mounir ; Starikov, David ; Bensaoula, Abdelhak
Author_Institution :
Univ. of Houston, Houston
Abstract :
Solid-state optoelectronic sensor, based on a novel concept of integrating steady-state (SS) and time-resolved measurements (TRM) in a miniature multi-spectral filterless design, capable of detection and quantification of several important analytes, is presented. Light-emitting diodes (LED) and wavelength-selective photodiodes (PD) covering the entire range of wavelengths from UV to near-IR are used for excitation and detection, respectively. An artificial neural network (ANN) trained by signature chemical library data collected by the sensor, is used for data classification. This library is periodically updated to include additional signatures and subsequent ANN training. The experiments using experimental SS data combined with typical TRM data resulted in a classification accuracy of more than 96% for 38 categories. For analytes with similar SS characteristics but distinct TRM features, addition of lifetime data in ANN classification resulted in improved classification accuracy by about 10% over SS data alone. Major progresses in the field of photodiode technology have led to realization of a complete solid-state TRM system.
Keywords :
biochemistry; biology computing; chemical sensors; integrated optoelectronics; neural nets; pattern classification; UV spectra; analytes measurement; artificial neural network; biochemical detection; data classification; integrated solid-state optoelectronic sensor; multispectral filterless design; near IR spectra; signature chemical library data; steady-state measurement; time-resolved measurement; Artificial neural networks; Biosensors; Chemical sensors; Libraries; Light emitting diodes; Optoelectronic and photonic sensors; Photodiodes; Sensor systems; Solid state circuits; Transmission line measurements;
Conference_Titel :
Semiconductor Device Research Symposium, 2007 International
Conference_Location :
College Park, MD
Print_ISBN :
978-1-4244-1892-3
Electronic_ISBN :
978-1-4244-1892-3
DOI :
10.1109/ISDRS.2007.4422246