Abstract
A novel biosensing system based on a micromachined rectangular silicon membrane is proposed and investigated in this paper. A distributive sensing scheme is designed to monitor the dynamics of the sensing structure. An artificial neural network is used to process the measured data and to identify cell presence and density. Without specifying any particular bio-application, the investigation is mainly concentrated on the performance testing of this kind of biosensor as a general biosensing platform. The biosensing experiments on the microfabricated membranes involve seeding different cell densities onto the sensing surface of membrane, and measuring the corresponding dynamics information of each tested silicon membrane in the form of a series of frequency response functions (FRFs). All of those experiments are carried out in cell culture medium to simulate a practical working environment. The EA.hy 926 endothelial cell lines are chosen in this paper for the bio-experiments. The EA.hy 926 endothelial cell lines represent a particular class of biological particles that have irregular shapes, non-uniform density and uncertain growth behaviour, which are difficult to monitor using the traditional biosensors. The final predicted results reveal that the methodology of a neural-network based algorithm to perform the feature identification of cells from distributive sensory measurement has great potential in biosensing applications.
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References
T. Alava, F. Mathieu, P. Rameil, Y. Morel, C. Soyer, D. Remiens, L. Nicu, Piezoelectric-actuated, piezoresistive-sensed circular micromembranes for label-free biosensing applications. Appl. Phys. Lett. 97(9), 093703–093703–3 (2010). ISSN 00036951
C. Ayela, F. Vandevelde, D. Lagrange, K. Haupt, L. Nicu, Combining resonant piezoelectric micromembranes with molecularly imprinted polymers. Angew. Chem. Int. Ed. 46(48), 9271–9274 (2007). ISSN 1521-3773
E.T. Carlen, M.S. Weinberg, C.E. Dub, A.M. Zapata, J.T. Borenstein, Micromachined silicon plates for sensing molecular interactions. Appl. Phys. Lett. 89(17), 173123–173124 (2006)
L. Carrascosa, M. Moreno, M. Alvarez, L. Lechuga, Nanomechanical biosensors: a new sensing tool. TRAC-Trend Anal. Chem. 25(3), 196–206 (2006)
Z. Chaudhry, A. Ganino, Damage detection using neural networks: An initial experimental study on debonded beams. J. Intell. Mater. Syst. Struct. 5(4), 585–589 (1994)
B.M. Cowie, D.J. Webb, B. Tam, P. Slack, P.N. Brett, Distributive tactile sensing using fibre bragg grating sensors for biomedical applications. BioRob. 2006 2006, 312–317 (2006)
M. Elliott, X. Ma, P. Brett, Tracking the position of an unknown moving load along a plate using the distributive sensing method. Sens. Actuators A Phys. 138(1), 28–36 (2007)
A. Gupta, D. Akin, R. Bashir, Single virus particle mass detection using microresonators with nanoscale thickness. Appl. Phys. Lett. 84(11), 1976–1978 (2004)
B. Ilic, Y. Yang, H. Craighead, Virus detection using nanoelectromechanical devices. Appl. Phys. Lett. 85(13), 2604–2606 (2004)
N. Lavrik, M. Sepaniak, P. Datskos, Cantilever transducers as a platform for chemical and biological sensors. Rev. Sci. Instrum. 75(7), 2229–2253 (2004)
J. Lee, S. Kim, Structural damage detection in the frequency domain using neural networks. J. Intell. Mater. Syst. Struct. 18(8), 785–792 (2007)
R. Levin, N. Lieven, Dynamic finite element model updating using neural networks. J. Sound Vib. 210(5), 593–607 (1998)
J. Lu, T. Ikehara, Y. Zhang, T. Mihara, T. Itoh, R. Maeda, in High Quality Factor Silicon Cantilever Driven by pzt Actuator for Resonant Based Mass Detection. 2008 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (2008), pp. 60–65
J. Lu, T. Ikehara, Y. Zhang, T. Mihara, T. Itoh, R. Maeda, Characterization and improvement on quality factor of microcantilevers with self-actuation and self-sensing capability. Microelectron. Eng. 86(4–6), 1208–1211 (2009)
X. Ma, P. Brett, The performance of a 1-D distributive tactile sensing system for detecting the position, weight, and width of a contacting load. IEEE Trans. Instrum. Meas. 51(2), 331–336 (2002)
X. Ma, A. Vakakis, L. Bergman, Karhunen–Loeve analysis and order reduction of the transient dynamics of linear coupled oscillators with strongly nonlinear end attachments. J. Sound Vib. 309(3–5), 569–687 (2008)
S. Mohanty, E. Kougianos, Biosensors: a tutorial review. IEEE Potentials 25(2), 35–40 (2006)
Y. Ni, X. Zhou, J. Ko, Experimental investigation of seismic damage identification using pca-compressed frequency response functions and neural networks. J. Sound Vib. 290(1–2), 242–263 (2006)
L. Nicu, C. Ayela, Micromachined piezoelectric membranes with high nominal quality factors in newtonian liquid media: a lamb’s model validation at the microscale. Sens. Actuators B Chem. 123(2), 860–868 (2007)
L. Nicu, M. Guirardel, F. Chambosse, P. Rougerie, S. Hinh, E. Trevisiol, J.-M. Francois, J.-P. Majoral, A.-M. Caminade, E. Cattan, C. Bergaud, Resonating piezoelectric membranes for microelectromechanically based bioassay: detection of streptavidin-gold nanoparticles interaction with biotinylated DNA. Sens. Actuators B Chem. 110(1), 125–136 (2005). ISSN 0925-4005
R. Raiteri, M. Grattarola, H.-J. Butt, P. Skladal, Micromechanical cantilever-based biosensors. Sens. Actuators B Chem. 79(2–3), 115–126 (2001)
K.W. Wee, G.Y. Kang, J. Park, J.Y. Kang, D.S. Yoon, J.H. Park, T.S. Kim, Novel electrical detection of label-free disease marker proteins using piezoresistive self-sensing micro-cantilevers. Biosens. Bioelectron. 20(10), 1932–1938 (2005)
Z. Wu, X. Ma, P. Brett, J. Xu, Vibration analysis of submerged micro rectangular plates with distributed mass loading. Proc. R. Soc. A Mat. 465(A), 205–216 (2009)
Z. Wu, M.T. Wright, X. Ma, The experimental evaluation of the dynamics of fluid-loaded microplates. J. Micromechanics Microengineering 20(7) 075034 (2010)
T. Xu, Z. Wang, J. Miao, L. Yu, C. Li, Micro-machined piezoelectric membrane-based immunosensor array. Biosens. Bioelectron. 24(4), 638–432 (2008)
C. Zang, M. Imergun, Structural damage detection using artificial neural networks and measured frf data reduced via principal component prediction. J. Sound Vib. 242(5), 813–827 (2001)
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The authors would like to acknowledge the funding support from the EPSRC in the UK.
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Wu, Z., Choudhury, K., Griffiths, H.R. et al. A novel silicon membrane-based biosensing platform using distributive sensing strategy and artificial neural networks for feature analysis. Biomed Microdevices 14, 83–93 (2012). https://doi.org/10.1007/s10544-011-9587-6
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DOI: https://doi.org/10.1007/s10544-011-9587-6