TY - GEN
T1 - Space saving mixed signal FPGAs for improving processing power and memory capacity as a replacement for μCs in portable biosensor devices
AU - Schmidhuber, M.
AU - Bähr, J.
AU - Ilchmann, F.
AU - Wiest, J.
AU - Wolf, B.
PY - 2009
Y1 - 2009
N2 - Living cells are extremely complex microsystems, which internally use biochemical and electronic signals for signal processing. These nonlinear and kinetic reactions are conceived as a quantitative collaboration of the cell as a biological system, whose output signals can be indicators for growth, mitosis, morphology, but could also be a quantity for the vitality of the surrounding micro environment on equal terms. These assays based on whole cell analysis techniques are very sensitive when exposed to external influences. The effect of different substances and toxic agents can be observed marker-free and in real time. The potential to understand the dynamics of the cellular processes justified the development of a handheld lab on chip system (see Fig. 1). The cells are regarded here as signal converters. The presented work herein is concerned with the conceptual development of a Handheld device, that have been optimized for the use in mobile biomedical multi-parametric analytics. On the electrochemical basis of sensor chips on a ceramic substrate made in thin-film technology, the measurement of cellphysiological parameters in the extracellular surrounding became possible. Sensors for pH, oxygen partial pressure, impedance, electrical potentials and temperature for the simultaneous in-vitro measurement of metabolic, morphologic and electrophysiological parameters were combined with a miniaturized mixed signal electronic, to allow local (Point of Care) analyses. A focus was put on the simulation of the various circuit parts, as well as the measurement of the electrical impedance. On this basis it was possible for the first time that food analysis could be shown without complex laboratory-technical investigation. The presented measurement results prove that this system approach with the acquired concepts is a serious alternative to commercially available solutions.
AB - Living cells are extremely complex microsystems, which internally use biochemical and electronic signals for signal processing. These nonlinear and kinetic reactions are conceived as a quantitative collaboration of the cell as a biological system, whose output signals can be indicators for growth, mitosis, morphology, but could also be a quantity for the vitality of the surrounding micro environment on equal terms. These assays based on whole cell analysis techniques are very sensitive when exposed to external influences. The effect of different substances and toxic agents can be observed marker-free and in real time. The potential to understand the dynamics of the cellular processes justified the development of a handheld lab on chip system (see Fig. 1). The cells are regarded here as signal converters. The presented work herein is concerned with the conceptual development of a Handheld device, that have been optimized for the use in mobile biomedical multi-parametric analytics. On the electrochemical basis of sensor chips on a ceramic substrate made in thin-film technology, the measurement of cellphysiological parameters in the extracellular surrounding became possible. Sensors for pH, oxygen partial pressure, impedance, electrical potentials and temperature for the simultaneous in-vitro measurement of metabolic, morphologic and electrophysiological parameters were combined with a miniaturized mixed signal electronic, to allow local (Point of Care) analyses. A focus was put on the simulation of the various circuit parts, as well as the measurement of the electrical impedance. On this basis it was possible for the first time that food analysis could be shown without complex laboratory-technical investigation. The presented measurement results prove that this system approach with the acquired concepts is a serious alternative to commercially available solutions.
KW - Cell based system
KW - Environmental monitoring
KW - Live cell analysis
KW - Point-of-care
KW - Yeast cells
UR - http://www.scopus.com/inward/record.url?scp=77949901311&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03887-7_11
DO - 10.1007/978-3-642-03887-7_11
M3 - Conference contribution
AN - SCOPUS:77949901311
SN - 9783642038860
T3 - IFMBE Proceedings
SP - 37
EP - 40
BT - World Congress on Medical Physics and Biomedical Engineering
PB - Springer Verlag
T2 - World Congress on Medical Physics and Biomedical Engineering: Micro- and Nanosystems in Medicine, Active Implants, Biosensors
Y2 - 7 September 2009 through 12 September 2009
ER -