A novel silicon membrane-based biosensing platform using distributive sensing strategy and artificial neural networks for feature analysis

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.

[1]  Laura M. Lechuga,et al.  Nanomechanical biosensors: a new sensing tool , 2006 .

[2]  Jinwu Xu,et al.  Vibration analysis of submerged micro rectangular plates with distributed mass loading , 2009 .

[3]  Liviu Nicu,et al.  Piezoelectric-actuated, piezoresistive-sensed circular micromembranes for label-free biosensing applications , 2010 .

[4]  Denis Lagrange,et al.  Combining resonant piezoelectric micromembranes with molecularly imprinted polymers. , 2007, Angewandte Chemie.

[5]  Liviu Nicu,et al.  Resonating piezoelectric membranes for microelectromechanically based bioassay: detection of streptavidin–gold nanoparticles interaction with biotinylated DNA , 2005 .

[6]  A. Ganino,et al.  Damage Detection Using Neural Networks: An Initial Experimental Study on Debonded Beams , 1994 .

[7]  M. Grattarola,et al.  Micromechanical cantilever-based biosensors , 2001 .

[8]  Xianghong Ma,et al.  Tracking the position of an unknown moving load along a plate using the distributive sensing method , 2007 .

[9]  P.N. Brett,et al.  Distributive Tactile Sensing using Fibre Bragg Grating Sensors for Biomedical Applications , 2006, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[10]  Liviu Nicu,et al.  Micromachined piezoelectric membranes with high nominal quality factors in newtonian liquid media : A Lamb's model validation at the microscale , 2007 .

[11]  Mehmet Imregun,et al.  STRUCTURAL DAMAGE DETECTION USING ARTIFICIAL NEURAL NETWORKS AND MEASURED FRF DATA REDUCED VIA PRINCIPAL COMPONENT PROJECTION , 2001 .

[12]  Edwin T. Carlen,et al.  Micromachined silicon plates for sensing molecular interactions , 2006 .

[13]  Zhangming Wu,et al.  The experimental evaluation of the dynamics of fluid-loaded microplates , 2010 .

[14]  Amit K. Gupta,et al.  Single virus particle mass detection using microresonators with nanoscale thickness , 2004 .

[15]  Jungwhee Lee,et al.  Structural Damage Detection in the Frequency Domain using Neural Networks , 2007 .

[16]  Ryutaro Maeda,et al.  Characterization and improvement on quality factor of microcantilevers with self-actuation and self-sensing capability , 2009 .

[17]  M. Sepaniak,et al.  Cantilever transducers as a platform for chemical and biological sensors , 2004 .

[18]  Yi Zhang,et al.  High quality factor silicon cantilever driven by PZT actuator for resonant based mass detection , 2008, 2008 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS.

[19]  Harold G. Craighead,et al.  Virus detection using nanoelectromechanical devices , 2004 .

[20]  Jianmin Miao,et al.  Micro-machined piezoelectric membrane-based immunosensor array. , 2008, Biosensors & bioelectronics.

[21]  Peter W Stephens,et al.  Cross-linked layered structure of magnetically ordered [Fe(TCNE)2]z CH2Cl2 determined by rietveld refinement of synchrotron powder diffraction data. , 2007, Angewandte Chemie.

[22]  J. Kang,et al.  Novel electrical detection of label-free disease marker proteins using piezoresistive self-sensing micro-cantilevers. , 2005, Biosensors & bioelectronics.

[23]  S.P. Mohanty,et al.  Biosensors: a tutorial review , 2006, IEEE Potentials.

[24]  John N. Ivan,et al.  Structural Damage Detection Using Artificial Neural Networks , 1998 .

[25]  Alexander F. Vakakis,et al.  Karhunen–Loeve analysis and order reduction of the transient dynamics of linear coupled oscillators with strongly nonlinear end attachments , 2008 .

[26]  Ri Levin,et al.  DYNAMIC FINITE ELEMENT MODEL UPDATING USING NEURAL NETWORKS , 1998 .

[27]  Yi-Qing Ni,et al.  Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks , 2006 .

[28]  Peter N. Brett,et al.  The performance of a 1-D distributive tactile sensing system for detecting the position, weight, and width of a contacting load , 2002, IEEE Trans. Instrum. Meas..