A Study on DNA Memory Encoding Architecture

The amount of raw generated data is growing at an exponential rate due to the greatly increasing number of sensors in electronic systems. While the majority of this data is never used, it is often kept for cases such as failure analysis. As such, archival memory storage, where data can be stored at an extremely high density at the cost of read latency, is becoming more popular than ever for long term storage. In biological organisms, Deoxyribonucleic Acid (DNA) is used as a method of storing information in terms of simple building blocks, as to allow for larger and more complicated struc- tures in a density much higher than can currently be realized on modern memory devices. Given the ability for organisms to store this information in a set of four bases for an extremely long amounts of time with limited degradation, DNA presents itself as a possible way to store data in a manner similar to binary data. This work investigates the use of DNA strands as a storage regime, where system-level data is translated into an efficient encoding to minimize base pair errors both at a local level and at the chain level. An encoding method using a Bose-Chaudhuri-Hocquenghem (BCH) pre-coded Raptor scheme is implemented in conjunction with an 8 to 6 bi- nary to base translation, yielding an informational density of 1.18 bits/base pair. A Field-Programmable Gate Array (FPGA) is then used in conjunction with a soft-core processor to verify address and key translation abilities, providing strong support that a strand-pool DNA model is reasonable for archival storage

Multimodal integrated sensor platform for rapid biomarker detection

Precision metabolomics and quantification for cost-effective, rapid diagnosis of disease are key goals in personalized medicine and point-of-care testing. Presently, patients are subjected to multiple test procedures requiring large laboratory equipment. Microelectronics has already made modern computing and communications possible by integration of complex functions within a single chip. As More than Moore technology increases in importance, integrated circuits for densely patterned sensor chips have grown in significance. Here, we present a versatile single CMOS chip forming a platform to address personalized needs through on-chip multimodal optical and electrochemical detection that will reduce the number of tests that patients must take. The chip integrates interleaved sensing subsystems for quadruple-mode colorimetric, chemiluminescent, surface plasmon resonance and hydrogen ion measurements. These subsystems include a photodiode array and a single photon avalanche diode array, with some elements functionalized to introduce a surface plasmon resonance mode. The chip also includes an array of ion sensitive field effect transistors. The sensor arrays are distributed uniformly over an active area on the chip surface in a scalable and modular design. Bio-functionalization of the physical sensors yields a highly selective simultaneous multiple-assay platform in a disposable format. We demonstrate its versatile capabilities through quantified bioassays performed on-chip for glucose, cholesterol, urea and urate, each within their naturally occurring physiological range

Field-effect based chemical and biological sensing : theory and implementation

Electrochemical sensors share many properties of an ideal (bio)chemical sensor. They can be easily miniaturized with high parallel sensing capabilities,with rugged structure and at low cost. The response obtained from thetarget analyte is directly in electrical form allowing convenient data post-processing and simple interfacing to standard electrical components. With field-effect transistor (FET) based sensors, the transducing principle relies on direct detection of interfacial charge allowing detection of various ions and charged macromolecules. This thesis investigates FET based sensors for biological and chemical sensing. First, an ion-sensitive floating gate FET (ISFGFET) structure is studied and modeled. The proposed model reveals novel abilities of the structure not found in conventional ion-sensitive FETs (ISFETs). With IS-FGFET, we can simultaneously optimize the transistor operating point and modulate the charging of the surface and the ionic screening layer via the field effect. This control is predicted to allow reduced electric double layer screening as well as the possibility to enhance charged molecule attachment to the sensing surface. The model can predict sensor characteristic curves in pH sensing in absolute terms and allows any potential to be computed in the sensor including the electrical part and the electrolyte solution. Furthermore, a compact ISFGFET variant is merged into electric circuit simulator, which allows it to be simulated as a standard electrical component with electrical simulations tools of high computational efficiency, and allows simple modifications such as addition of parasitic elements, temperature effects, or even temporal drifts. Next, another transistor based configuration, the extended-gate ISFET is studied. The simplicity of the proposed configuration allows a universal potentiometric approach where a wide variety of chemical and biological sensors can be constructed. The design philosophy for this sensing structure is to use the shelf electric components and standard electric manufacturing processes. Such an extended-gate structure is beneficial since the dry electronics can be completely separated from the wet sensing environment. The extended-gate allows simple functionalization towards chemical and biological sensing. A proof-of-concept of this structure was verified through organo modified gold platforms with ion-selective membranes. A comparison with standard open-circuit potentiometry reveals that the sensing elements in a disposable sensing platform arrays provide comparable performance to traditional electrodes. Finally, a universal battery operated hand-held electrical readout device is designed for multiplexed detection of the disposable sensors with wireless smartphone data plotting, control, and storage. Organic polymers play an important role in the interfacial properties of sensors studied in this thesis. The polymer coating is attractive in chemical sensing because of its redox sensitivity, bio-immobilization capability, ion-to-electron transducing capability, and applicability, for example via a simple low-cost drop-casting. This structure simplifies the design of the sensor substantially and the coating increases the amount of possible target applications.Siirretty Doriast

COVID-9 Detection Strategies: Recent Advances and Future Prospects

COVID-19 pandemic has created a global medical and economic crisis. Having many unsuspecting asymptotically carriers interacting with others increases the risk of infecting healthy people which leads to problems such as overloaded clinics and hospitals. These conditions make tracing the asymptotic carriers of COVID-19 and detecting all infected individuals rapidly and accurately critical for the control and further prevention of this disease. Considering the long duration of vaccine development, their low efficiency for protection against some of the viral variants, and lack of any drugs for efficient COVID-19 treatment, diagnostic tests are essential for detecting the infection and limiting the viral spread. Therefore, how to efficiently screen for positive patients with coronavirus 2019 has become the primary task for epidemic prevention. Due to the critical roles of the diagnostic tools in fighting the coronavirus disease, a large number of techniques have rapidly. This work, as a comprehensive review, aims to cover not only the currently approved nucleic acid- and protein-based diagnostic technologies, but also the promising strategies for COVID-19 detection and also fighting future hazards. The goal is to bring together the most important advances from the broad discipline of biomedical engineering, enhancing their visibility through opinion and new articles, and providing overviews of the state-of-the-art in each field

Integrated impedance spectroscopy biosensors

textAffinity-based biosensors, or in short biosensors, are extremely powerful and versatile analytical tools which are used for the detection of a wide variety of bio-molecules. In recent times, there has been a need for developing low-cost and portable affinity-based biosensor platforms. Such systems need to have a high density of detection sites (i.e biosensing elements) in order to simultaneously detect multiple analytes in a single sample. This has led to the creation of integrated biosensors, which make use of integrated circuits (ICs) for bio-molecular detection. In such systems, it has been demonstrated that by taking advantage of the capabilities of semiconductor and very large scale integrated (VLSI) circuit fabrication processes, it is possible to build compact miniaturized biosensors, which can be used in wide variety of applications such as in molecular diagnostics and for environmental monitoring. Among the various detection modalities for biosensors, Electrochemical Impedance Spectroscopy (EIS) permits real-time detection and has label-free detection capabilities. EIS is fully electronic in nature. Hence, it can be implemented using standard IC technologies. The versatility and ease of integration of EIS makes it a promising candidate for developing integrated biosensor platforms. In this thesis, we first examine the underlying principles of EIS method of biosensing. By analyzing an immunosensor assay as an example, we show that EIS based biosensing is a highly sensitive detection method, which can be used for the detection of a wide variety of analytes. Since EIS relies on small impedance changes in order to perform detection, it requires highly accurate models for the electrode-electrolyte systems. Hence, we also introduce a compact modeling technique for the distributed electrode-electrolyte systems with non-uniform electric fields, which is capable of modelling noise and other non-idealities in EIS. In the second part of this thesis, we describe the design and implementation of an integrated EIS biosensor array, built using a standard complementary metal-oxide-semiconductor (CMOS) process. The chip is capable of measuring admittance values as small as 10nS and has a wide dynamic range (90dB) over a wide range of frequencies (10Hz-50MHz). We also report the results obtained from the DNA and protein detection experiments performed using this chip.Electrical and Computer Engineerin

Detection principles of biological and chemical FET sensors

The seminal importance of detecting ions and molecules for point-of-care tests has driven the search for more sensitive, specific, and robust sensors. Electronic detection holds promise for future miniaturized in-situ applications and can be integrated into existing electronic manufacturing processes and technology. The resulting small devices will be inherently well suited for multiplexed and parallel detection. In this review, different field-effect transistor (FET) structures and detection principles are discussed, including label-free and indirect detection mechanisms. The fundamental detection principle governing every potentiometric sensor is introduced, and different state-of-the-art FET sensor structures are reviewed. This is followed by an analysis of electrolyte interfaces and their influence on sensor operation. Finally, the fundamentals of different detection mechanisms are reviewed and some detection schemes are discussed. In the conclusion, current commercial efforts are briefly considered

Lab-on-a-Chip Fabrication and Application

The necessity of on-site, fast, sensitive, and cheap complex laboratory analysis, associated with the advances in the microfabrication technologies and the microfluidics, made it possible for the creation of the innovative device lab-on-a-chip (LOC), by which we would be able to scale a single or multiple laboratory processes down to a chip format. The present book is dedicated to the LOC devices from two points of view: LOC fabrication and LOC application

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

Microfluidics based DNA hybridization: mathematical modeling issues and future challenges

In this paper, various mathematical modeling strategies associated with the analysis of the kinetics and the transport processes pertinent to microfluidics-based DNA hybridization methodologies are critically reviewed. In particular, the coupling of specific/non- specific hybridization kinetics with the fluid flow, heat transfer and mass transfer equations is described in detail. Methodologies for obtaining faster DNA hybridization rates are also discussed and the corresponding mathematical modeling issues are identified to define the scope of ongoing and future research endeavours

DNA Logic-A novel approach to semiconductor based genetics

In the coming years, genetic test results will be increasingly used as indicators that influence medical decision-making. With chronic disease on the rise and the continuing global spread of infectious disease, novel instruments able to detect relevant mutations in a point-of-care setting are being developed to facilitate this increased demand in personalized health care. However, diagnosis for such demand often requires laboratory facilities and skilled personnel, meaning that diagnostic tests are restricted by time and access. This thesis presents a novel configuration for Ion sensitive Field Effect Transistors (ISFETs) to be used as a threshold detector during nucleic acid base pairs match. ISFET-based inverters are used as reaction threshold detectors to convey the chemical reaction level to a logic output once a threshold has been reached. Using this method, novel DNA logic functions are derived for nucleotides allowing local digital computations. The thesis also presents business models that enable such technology to be utilised in point of care applications, and experiment as results and business models given for an HIV point of care example are proposed