A droplet routing technique for fault-tolerant digital microfluidic devices

Abstract—Efficient droplet routing is one of the key approaches for realizing fault-tolerant microfluidic biochips. It requires that run-time diagnosis and fault recovery can be made possible in such systems. This paper describes a droplet routing technique for a fault-tolerant digital microfluidic platform. This technique features handling of many microfluidic operations simultaneously and uses on-chip sensors for diagnosis at run-time.\ud Once a fault is detected during the droplet routing, recovery procedures will be started-up immediately. Faulty units on the chip will be marked and isolated from the array so that the remaining droplets can still be routed along a fault-free path to their destinations. This method guarantees a non-stop fault-tolerant operation for very large microfluidic arrays.\u

Test analysis & fault simulation of microfluidic systems

This work presents a design, simulation and test methodology for microfluidic systems, with particular focus on simulation for test. A Microfluidic Fault Simulator (MFS) has been created based around COMSOL which allows a fault-free system model to undergo fault injection and provide test measurements. A post MFS test analysis procedure is also described.A range of fault-free system simulations have been cross-validated to experimental work to gauge the accuracy of the fundamental simulation approach prior to further investigation and development of the simulation and test procedure.A generic mechanism, termed a fault block, has been developed to provide fault injection and a method of describing a low abstraction behavioural fault model within the system. This technique has allowed the creation of a fault library containing a range of different microfluidic fault conditions. Each of the fault models has been cross-validated to experimental conditions or published results to determine their accuracy.Two test methods, namely, impedance spectroscopy and Levich electro-chemical sensors have been investigated as general methods of microfluidic test, each of which has been shown to be sensitive to a multitude of fault. Each method has successfully been implemented within the simulation environment and each cross-validated by first-hand experimentation or published work.A test analysis procedure based around the Neyman-Pearson criterion has been developed to allow a probabilistic metric for each test applied for a given fault condition, providing a quantitive assessment of each test. These metrics are used to analyse the sensitivity of each test method, useful when determining which tests to employ in the final system. Furthermore, these probabilistic metrics may be combined to provide a fault coverage metric for the complete system.The complete MFS method has been applied to two system cases studies; a hydrodynamic “Y” channel and a flow cytometry system for prognosing head and neck cancer.Decision trees are trained based on the test measurement data and fault conditions as a means of classifying the systems fault condition state. The classification rules created by the decision trees may be displayed graphically or as a set of rules which can be loaded into test instrumentation. During the course of this research a high voltage power supply instrument has been developed to aid electro-osmotic experimentation and an impedance spectrometer to provide embedded test

A Review on Key Issues and Challenges in Devices Level MEMS Testing

The present review provides information relevant to issues and challenges in MEMS testing techniques that are implemented to analyze the microelectromechanical systems (MEMS) behavior for specific application and operating conditions. MEMS devices are more complex and extremely diverse due to the immersion of multidomains. Their failure modes are distinctive under different circumstances. Therefore, testing of these systems at device level as well as at mass production level, that is, parallel testing, is becoming very challenging as compared to the IC test, because MEMS respond to electrical, physical, chemical, and optical stimuli. Currently, test systems developed for MEMS devices have to be customized due to their nondeterministic behavior and complexity. The accurate measurement of test systems for MEMS is difficult to quantify in the production phase. The complexity of the device to be tested required maturity in the test technique which increases the cost of test development; this practice is directly imposed on the device cost. This factor causes a delay in time-to-market

A Review on Key Issues and Challenges in Devices Level MEMS Testing

The present review provides information relevant to issues and challenges in MEMS testing techniques that are implemented to analyze the microelectromechanical systems (MEMS) behavior for specific application and operating conditions. MEMS devices are more complex and extremely diverse due to the immersion of multidomains. Their failure modes are distinctive under different circumstances. Therefore, testing of these systems at device level as well as at mass production level, that is, parallel testing, is becoming very challenging as compared to the IC test, because MEMS respond to electrical, physical, chemical, and optical stimuli. Currently, test systems developed for MEMS devices have to be customized due to their nondeterministic behavior and complexity. The accurate measurement of test systems for MEMS is difficult to quantify in the production phase. The complexity of the device to be tested required maturity in the test technique which increases the cost of test development; this practice is directly imposed on the device cost. This factor causes a delay in time-to-market

Design and Optimization Methods for Pin-Limited and Cyberphysical Digital Microfluidic Biochips

<p>Microfluidic biochips have now come of age, with applications to biomolecular recognition for high-throughput DNA sequencing, immunoassays, and point-of-care clinical diagnostics. In particular, digital microfluidic biochips, which use electrowetting-on-dielectric to manipulate discrete droplets (or "packets of biochemical payload") of picoliter volumes under clock control, are especially promising. The potential applications of biochips include real-time analysis for biochemical reagents, clinical diagnostics, flash chemistry, and on-chip DNA sequencing. The ease of reconfigurability and software-based control in digital microfluidics has motivated research on various aspects of automated chip design and optimization.</p><p>This thesis research is focused on facilitating advances in on-chip bioassays, enhancing the automated use of digital microfluidic biochips, and developing an "intelligent" microfluidic system that has the capability of making on-line re-synthesis while a bioassay is being executed. This thesis includes the concept of a "cyberphysical microfluidic biochip" based on the digital microfluidics hardware platform and on-chip sensing technique. In such a biochip, the control software, on-chip sensing, and the microfluidic operations are tightly coupled. The status of the droplets is dynamically monitored by on-chip sensors. If an error is detected, the control software performs dynamic re-synthesis procedure and error recovery.</p><p>In order to minimize the size and cost of the system, a hardware-assisted error-recovery method, which relies on an error dictionary for rapid error recovery, is also presented. The error-recovery procedure is controlled by a finite-state-machine implemented on a field-programmable gate array (FPGA) instead of a software running on a separate computer. Each state of the FSM represents a possible error that may occur on the biochip; for each of these errors, the corresponding sequence of error-recovery signals is stored inside the memory of the FPGA before the bioassay is conducted. When an error occurs, the FSM transitions from one state to another, and the corresponding control signals are updated. Therefore, by using inexpensive FPGA, a portable cyberphysical system can be implemented.</p><p>In addition to errors in fluid-handling operations, bioassay outcomes can also be erroneous due the uncertainty in the completion time for fluidic operations. Due to the inherent randomness of biochemical reactions, the time required to complete each step of the bioassay is a random variable. To address this issue, a new "operation-interdependence-aware" synthesis algorithm is proposed in this thesis. The start and stop time of each operation are dynamically determined based on feedback from the on-chip sensors. Unlike previous synthesis algorithms that execute bioassays based on pre-determined start and end times of each operation, the proposed method facilitates "self-adaptive" bioassays on cyberphysical microfluidic biochips.</p><p>Another design problem addressed in this thesis is the development of a layout-design algorithm that can minimize the interference between devices on a biochip. A probabilistic model for the polymerase chain reaction (PCR) has been developed; based on the model, the control software can make on-line decisions regarding the number of thermal cycles that must be performed during PCR. Therefore, PCR can be controlled more precisely using cyberphysical integration.</p><p>To reduce the fabrication cost of biochips, yet maintain application flexibility, the concept of a "general-purpose pin-limited biochip" is proposed. Using a graph model for pin-assignment, we develop the theoretical basis and a heuristic algorithm to generate optimized pin-assignment configurations. The associated scheduling algorithm for on-chip biochemistry synthesis has also been developed. Based on the theoretical framework, a complete design flow for pin-limited cyberphysical microfluidic biochips is presented.</p><p>In summary, this thesis research has led to an algorithmic infrastructure and optimization tools for cyberphysical system design and technology demonstrations. The results of this thesis research are expected to enable the hardware/software co-design of a new class of digital microfluidic biochips with tight coupling between microfluidics, sensors, and control software.</p>Dissertatio

Development of electrochemical platforms for DNA sensing

[eng] The present doctoral thesis is framed in the research and development (R & D) project between a private biotechnology company of molecular diagnostics Genomica SAU, the Institute for Bioengineering of Catalonia (IBEC), the University of Barcelona, and the Microfluidics ChipShop Company. The main objective of the project is making, implementation and marketing of a diagnostic device for early detection of DNA sequences involved with cancer. The multi device, or lab-on-chip (LOC), consists of a central automation unit (CAU), a system in miniature of DNA amplification or chain reaction polymerase (mini-PCR), and a biosensing platform (DNA chip) that consisting of a matrix or electrochemical array. The three elements are integrated by a microfluidic system in sandwich format cartridge. For this purpose, the aim of this thesis was the creation, characterization and optimization of the biochemical recognition platform between two single strands of DNA of dissimilar lengths but with some complementary sequences for the subsequent electrochemical detection of a hybridization event between them. Then, the integration into the cartridge of above platform was done. For the creation of this platform, we chose to use a self-assembled monolayer (SAM) of thiols as biorecognition interface of the 14 DNA sequences that are part of the project. During optimization of the interface chips individual gold and various molecules were used being chosen the molecule with two arms disulfide of polyethylene glycol (PEG) and a malaimida group at the end of one of them. This linker (or MalPEG linker) reacts with the gold surface due to the dative interaction between the sulfur atoms of the disulfide and the gold atoms from the surface of the chips. At the same time, the malaimida group reacts with the thiol group of the capture probes, joining. The PEG groups function as anti-adhesion molecules. Surface plasmon resonance (SPR) and cyclic voltammetry (CV) were techniques used to characterize the substrate and the hybridization event. For the manufacture of the cartridge, this was divided into two main blocks, the biosensing or electrochemical block and PCR block. The electrochemical block is composed of 4 layers, one of 64 working electrodes and gold paths for contact with the potentiostat, another layer that defines the area of the sensors must be functionalized gold and isolating the gold surface of the tracks. The third layer is a double-sided adhesive that has a hexagonal hole working as hybridization chamber, and the last layer is a screen printing layer with the reference electrode (RE) and counter electrodes. The above layers form an electrochemical cell wherein the hybridization will occurs. Regarding the PCR block, this is a system of two layers with a type microfluidic channel kind loop and its function is to contain the solutions during the process of DNA amplification by the mini-PCR. During the integration of the optimized SAM into an electrochemical cartridge a manual and automated ways were used to immobilize the capture probes. Several tests were performed in order to obtain the best conditions and ratios between the molecules to maximize the hybridization signal during the electrochemical detection.[spa] El presente trabajo de tesis está enmarcado en un proyecto de investigación y desarrollo (I+D) entre la empresa privada Genomica S.A.U., el Instituto de Bioingeniería de Cataluña (IBEC), la Universidad de Barcelona y la empresa alemana ChipShop Microfluidics. El objetivo principal es el desarrollo, puesta a punto y comercialización de un dispositivo electroquímico de diagnóstico médico para etapas tempranas de cáncer. El objetivo de la tesis es la creación, optimización y posterior integración de una interfaz de biosensado de ADN en el dispositivo de diagnóstico, siendo pieza fundamental en el desarrollo de éste. La interfaz escogida fue una monocapa autoensamblada (SAM) que hace las veces de biosensor y que es capaz de anclar secuencias de ADN como sondas de captura y así poder detectar, selectivamente, las secuencias objetivo complementarias. El dispositivo también cuenta con un sistema microfluídico y un sistema de amplificación de ADN de reacción en cadena de la polimerasa en miniatura. La SAM esta inmovilizada en un array electroquímico que consta de 64 electrodos de trabajo que funcionan como elemento transductor de la señal electroquímica redox de los eventos de hibridación que ocurren sobre ellos. La funcionalización y puesta a punto del dispositivo se llevó a cabo inmovilizando múltiples sondas de captura después de una optimización de las concentraciones entre las diferentes partes constituyentes de la monocapa. Técnicas ópticas y electroquímicas fueron utilizadas para la caracterización de cada etapa y técnicas de fotolitografiado y de impresión por pantalla fueron utilizadas para la fabricación de los componentes del dispositivo. Finalmente, y después de algunos cambios surgidos durante el desarrollo del dispositivo, se llega a un diseño final y a las pruebas con muestras reales, proceso que aún está en etapa experimental

Nanostructured Metal Oxide-Based Microfluidic Biosensors for Point-of-Care Diagnostics

The potential research on microfluidic devices for detection of biomolecules has recently intensified due to its application in point-of-care (POC) diagnostics for global health care. Early detection plays an imperative role to determine predisposition to disease (prevention) or the outcome of disease (monitoring and prognosis). There is a significant need for POC diagnostics devices as perceived from biohazard threats, the spread of infectious disease, home testing and monitoring. The POC diagnostics can provide a convenient and immediate response to a patient test sample. The POC diagnostics can be attained via use of transportable, portable, and handheld instruments such as blood glucometer, cholesterol meter etc. and test kits. It includes testing of blood or urine for pathogens, glucose, cholesterol, blood gas, coagulation, biomarkers, hemoglobin, pregnancy etc. Cheaper, smaller, faster, and smarter devices are the main merits of POC diagnostics for detection of various target analytes. A number of clinical biochemical studies such as blood gas, glucose/lactate/cholesterol, nucleic acid sequence analysis, proteins/peptides, combinatorial synthesis, toxicity monitoring, immunoassays, and forensic analysis are also focused areas for developing microfluidic biochips