Offline Error Detection in MEDA-Based Digital Microfluidic Biochips Using Oscillation-Based Testing Methodology

Digital microfluidics is an emerging class of lab-on-a-chip system. Reliability is a critical performance parameter as these biochips are employed in various safety-critical biomedical applications. With the introduction of highly scalable, reconfigurable and field programmable Micro-Electrode-Dot-Array (MEDA) architecture, the limitation of conventional DMFBs in varying the droplet size/volume in fine grain manner has been resolved. However, the MEDA-based biochips must be adequately tested upon fabrication to guarantee the correctness of bioassays. In this work, an offline testing approach based on Oscillation-Based Testing (OBT) methodology is presented for MEDA-based digital microfluidic biochips. Various simulations were performed for droplet-electrode short fault model involving single and multiple micro-electrodes. Furthermore, the loss of droplet volume due to the presence of defect was analyzed using COMSOL Multiphysics. The simulation results based on PSpice and COMSOL show that the proposed approach is effective for detecting defects in MEDA-based biochips.

[1]  Krishnendu Chakrabarty,et al.  Fault Modeling and Functional Test Methods for Digital Microfluidic Biochips , 2009, IEEE Transactions on Biomedical Circuits and Systems.

[2]  Chen-Yi Lee,et al.  A digital microfluidic processor for biomedical applications , 2013, SiPS 2013 Proceedings.

[3]  Zhongkai Chen,et al.  Droplet routing in high-level synthesis of configurable digital microfluidic biochips based on microelectrode dot array architecture , 2011 .

[4]  R. Zengerle,et al.  Quantitative volume determination of dispensed nanoliter droplets on the fly , 2009, TRANSDUCERS 2009 - 2009 International Solid-State Sensors, Actuators and Microsystems Conference.

[5]  Nor Hisham Hamid,et al.  Fault Modeling and Simulation of MEDA Based Digital Microfluidics Biochips , 2016, 2016 29th International Conference on VLSI Design and 2016 15th International Conference on Embedded Systems (VLSID).

[6]  Richard B. Fair,et al.  Automated on-chip droplet dispensing with volume control by electro-wetting actuation and capacitance metering , 2004 .

[7]  P. Sullivan,et al.  Using capacitance measurements in EWOD devices to identify fluid composition and control droplet mixing , 2010 .

[8]  G. Whitesides The origins and the future of microfluidics , 2006, Nature.

[9]  E. Varkaraki,et al.  Water electrolysis , 2022, Nature Reviews Methods Primers.

[10]  Richard B. Fair,et al.  Digital microfluidics: is a true lab-on-a-chip possible? , 2007 .

[11]  Fei Su,et al.  Testing and Diagnosis of Realistic Defects in Digital Microfluidic Biochips , 2007, J. Electron. Test..

[12]  Krishnendu Chakrabarty,et al.  Built-in self-test for micro-electrode-dot-array digital microfluidic biochips , 2016, 2016 IEEE International Test Conference (ITC).

[13]  S. Fan,et al.  Digital microfluidic operations on micro-electrode array architecture , 2011, NEMS 2011.

[14]  Ali Nadim,et al.  Electrowetting droplet microfluidics on a single planar surface , 2006 .

[15]  Kai Hu,et al.  Fault detection, real-time error recovery, and experimental demonstration for digital microfluidic biochips , 2013, 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[16]  Ian Papautsky,et al.  Precise droplet volume measurement and electrode-based volume metering in digital microfluidics , 2014 .

[17]  Karim Arabi,et al.  Testing analog and mixed-signal integrated circuits using oscillation-test method , 1997, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[18]  Krishnendu Chakrabarty,et al.  High-level synthesis for micro-electrode-dot-array digital microfluidic biochips , 2016, 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC).

[19]  Karabi Biswas,et al.  Effect of electrode geometry on voltage reduction in EWOD based devices , 2010, 2010 International Conference on Systems in Medicine and Biology.

[20]  J. Lammertyn,et al.  Controlling droplet size variability of a digital lab-on-a-chip for improved bio-assay performance , 2011 .

[21]  Paul Pop,et al.  Synthesis of Application-Specific Fault-Tolerant Digital Microfluidic Biochip Architectures , 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[22]  Andrew Richardson,et al.  An Oscillation-Based Technique for Degradation Monitoring of Sensing and Actuation Electrodes Within Microfluidic Systems , 2011, J. Electron. Test..

[23]  Mark Zwolinski,et al.  On testing of MEDA based digital microfluidics biochips , 2013, Fifth Asia Symposium on Quality Electronic Design (ASQED 2013).

[24]  Fawnizu Azmadi Hussin,et al.  Diagonal testing in digital microfluidics biochips using MEDA based approach , 2014, 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS).

[25]  Krishnendu Chakrabarty,et al.  Parallel Scan-Like Test and Multiple-Defect Diagnosis for Digital Microfluidic Biochips , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[26]  Krishnendu Chakrabarty,et al.  Error recovery in a micro-electrode-dot-array digital microfluidic biochip , 2016, 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[27]  Da-Jeng Yao,et al.  Improving the dielectric properties of an electrowetting-on-dielectric microfluidic device with a low-pressure chemical vapor deposited Si3N4 dielectric layer. , 2015, Biomicrofluidics.

[28]  Krishnendu Chakrabarty Design Automation and Test Solutions for Digital Microfluidic Biochips , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[29]  S. Satti Sensitivity Optimization of Microfluidic Capacitance Sensor using COMSOL Multiphysics , 2013 .

[30]  Krishnendu Chakrabarty,et al.  Functional testing of digital microfluidic biochips , 2007, 2007 IEEE International Test Conference.

[31]  S. Quake,et al.  Microfluidics: Fluid physics at the nanoliter scale , 2005 .