Silicon Nanowires Based Resistors for Bacteria Detection†
by
Brice Le Borgne 1
, Anne Claire Salaun 1, Laurent Pichon 1,*, Anne Jolivet-Gougeon 2, Sophie Martin 3, Regis Rogel 1 and Olivier de Sagazan 1
Brice Le Borgne 1, Anne Claire Salaun 1, Laurent Pichon 1,*, Anne Jolivet-Gougeon 2, Sophie Martin 3, Regis Rogel 1 and Olivier de Sagazan 1
1
Institut d’Electronique te de Télécommunications de Rennes, IETR, Université de Rennes 1, 35000 Rennes, France
2
Nutrition Métabolisme et Cancer, NuMeCan, Université de Rennes 1, 35000 Rennes, France
3
Société ARCLYNN, 44780 Missillac, France
*
Author to whom correspondence should be addressed.
†
Presented at the Eurosensors 2017 Conference, Paris, France, 3–6 September 2017.
Proceedings 2017, 1(4), 496; https://doi.org/10.3390/proceedings1040496
Published: 28 August 2017
(This article belongs to the Proceedings of Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017)
Silicon nanowires (SiNWs) based resistors used as bacteria sensors are fabricated using the classical silicon technologies. SiNWs are grown by vapor liquid solid (VLS) method using gold as catalyst. Electrodes of the device are made of heavily in-situ doped polycristalline silicon. Results show potential use of the corresponding resistors, with SiNWs as sensitive units, for bacteria detection. Bacteria are preferentially hanged into SiNWs array and electrical resistance of the device decreases due to the presence of bacteria. Such resistors are promising bacteria sensors to monitor contamination in controlled environment for hygiene, fabricated in a simple and low-cost fabrication technology.
Keywords:
silicon nanowires; resistor; bacteria detection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Borgne, B.L.; Salaun, A.C.; Pichon, L.; Jolivet-Gougeon, A.; Martin, S.; Rogel, R.; Sagazan, O. Silicon Nanowires Based Resistors for Bacteria Detection. Proceedings 2017, 1, 496.
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