The objective of this research was to develop the initial constituents of a highly scalable and label-free electronic biosensing platform. Current immunoassays are becoming increasingly incapable of taking advantage of the latest advances in disease biomarker identification, hindering their utility in the potential early-stage diagnosis and treatment of many diseases. This is due primarily to their inability to simultaneously detect large numbers of biomarkers. The platform presented here - termed the electronic microplate - embodies a number of qualities necessary for clinical and laboratory relevance as a next-generation biosensing tool. Silicon nanowire (SiNW) sensors were fabricated using a purely top-down process based on those used for non-planar integrated circuits on silicon-on-insulator wafers and characterized in both dry and in biologically relevant ambients. Canonical pH measurements validated the sensing capabilities of the initial SiNW test devices. A low density SiNW array with fluidic wells constituting isolated sensing sites was fabricated using this process and used to differentiate between both cancerous and healthy cells and to capture superparamagnetic particles from solution. Through-silicon vias were then incorporated to create a high density sensor array, which was also characterized in both dry and phosphate buffered saline ambients. The result is the foundation for a platform incorporating versatile label-free detection, high sensor densities, and a separation of the sensing and electronics layers. The electronic microplate described in this work is envisioned as the heart of a next-generation biosensing platform compatible with conventional clinical and laboratory workflows and one capable of fostering the realization of personalized medicine.

Thesis (M.S.)--Michigan State University. Dept. of Electrical and Computer Engineering, 2006. / Title from PDF t.p. (viewed on Nov. 20, 2008) Includes bibliographical references (p. 75-80). Also issued in print.

Organic bioelectronics is the convergence of organic electronics and biology. Motivated by the unique combination of both electronic and ionic conductivity, organic semiconducting materials have been applied in OECTs for sensing applications to translate bio-logical signals into a quantitative electrical reading. Due to their carbon-based structure and flexibility, CPs can achieve improved biocompatibility compared to inorganic devices as they are intrinsically “softer”, avoiding mechanical mismatch and the need for surface compatibilizing layers. These promising materials have broad potential to be used in applications such as biosensors, drug delivery, and neural interfaces. In the second chapter, a series of lysine-functionalized DPP3T semiconducting polymers, outline their synthesis, and demonstrate that these particular polymers allow neuron cells to adhere and grow, in comparison to unfunctionalized polymers, where cells quickly die. Through covalent attachment of small lysine units, the conjugated polymer backbone and cells can directly electrically communicate, favorable for neural signals recording/stimulating. In the third chapter, NDI-based semiconducting polymers are selected for lysinefunctionalization, giving protein-like surfaces for neurons to attach, grow and form a network without the need of an intermediate PDL coating. Most importantly, this careful choice of NDI backbone allows lysinated-NDI polymers to operate in OECTs with an outstanding normalized transconductance value of 0.25 S/cm. In the fourth chapter, a new technique is presented to biofunctionalize thin film surface of polymers. Two methods including CuAAC and thiol-ene click are demonstrated to be applicable to biofunctionalize surface. In particular, both of them can achieve biocompatible surface by attaching biomolecules at high density while maintaining electrically conductive film. In the final chapter, three series of NDI-T2 are presented synthesized via Stille coupling reaction using different Pd catalysts. Following electrochemical and device characterization, the study of the influence of spacers between backbone and EG chain for performance in OFET and OECT operations is carried out. It is clearly evidenced that electron mobility increases by a factor of 10 with gradual increased spacers for all polymers in OFETs devices. For OECTs, within three series, pNDI-Cx-T2 stands out, especially pNDI-C4-T2 giving the highest reported transconductance at 0.479 S/cm and a low threshold voltage of 0.18 V.

No description available.

In the recent past, graphene has been discovered and studied as one of the most promising materials after silicon and carbon nanotube. Its atomically thin structure, pristine dangling bonds free surface and interface, ultra-fast charge transport capability, semi-metallic behavior, ultra-strong mechanical ruggedness, promising photonic properties and bio-compatibility makes it a material to explore from all different perspectives to identify potential application areas which can augment the quality of our life. Therefore, in this doctoral work the following critical studies have been carried out meticulously with key findings are listed below: (1) A simplistic and sustainable growth process of double or multi-layer graphene (up to 4” substrate coverage with uniformity) using low-cost atmospheric chemical vapor deposition (APCVD) technique. [presented in MRS Fall Meeting 2012 and in IEEE SIECPC 2012) (2) A buried metallic layer based contact engineering process to overcome the sustained challenge of contact engineering associated with low-dimensional atomically thin material. (presented in IEEE Nano 2013 and archieved in conference proceedings) (3) Demonstration of a fin type graphene transistor (inspired by multi-gate architecture) with a mobility of 11,000 cm2/V.s at room temperature with an applied drive-in voltage of ±1 volt to demonstrate for the first time a pragmatic approach for graphene transistor for mobile applications which can maintain its ultra-fast charge transport behavior with ultra-low power consumption. [Published in ACS Nano 2013] (4) Further a meticulous study has been done to understand the harsh environment compatibility of graphene for its potential use in underwater and space applications. [Published as Cover Article in physica solidi status – Rapid Research Letters, 2014] (5) Due to its highly conductive nature and low surface-to-volume ratio it has been used to replace conventional gold based anodic material in microbial fuel cells (used for water purification in self-sustained mode) to demonstrate its effectiveness as a sustainable low-cost mechanically robust transparent material. [Published in ACS Nano 2013, in Energy Technology 2014 as a Cover Article and in Nature Publishing Group Asia Materials 2014] (6) Extensive study to stabilize graphene surface and to use the phenomena for development of a sensor which can monitor the quality of water. [presented in MRS Fall Meeting 2013 and in MRS Fall Meeting 2014] (7) By using graphene as an expose transistor architecture with ultra-scale high-k dielectric, to develop a series of sensor for glucose monitoring. Sensitivity, selectivity, response rate and refresh time has been studied and optimized. [pending review in Nature Scientific Reports 2015] (8) From the lessons learnt during the development of glucose monitoring sensor cell, a sophisticated low-cost ultra-low power mobile graphene based non-invasive sensor has been assembled and clinically trialed in collaboration with King Faisal Hospitals in Jeddah and in Makkah. [pending review in Science 2015] As a future direction, this thesis also discusses potential of graphene growth on electrochemically deposited metallic seed layers and consequential usage in stretchable and transparent graphene antenna development for fully flexible only graphene based integrated electronic system integration.

Quick and early detection of abnormalities in the body's metabolism is of paramount importance to monitor, control, and prevent the associated diseases and pathologies. Biosensors technology is rapidly advancing, from the first electronic biosensor reported by Clark and Lyons in 1962 for blood glucose monitoring to today’s devices that can detect multiple metabolites in bodily fluids continuously and simultaneously within seconds. This rapid growth in point-of-care devices promises for the development of novel devices with different form factors and the ability to detect a wide range of biomarkers. These advancements mainly stem from the development of electronic materials that have properties better aligning with the biotic interface compared to the traditional metal electrodes. A promising class of electronic materials for biosensors is conjugated polymers. Conjugated polymers are carbon-based, organic semiconducting materials made of long chains comprising conjugated repeat units. The fundamental property that makes these materials so attractive is, however, not their electronic conductivity, but their ionic conductivity. As living organisms use ionic fluxes to relay signals, materials that can conduct ionic currents are believed to facilitate the communication between the electronics and living systems. This communication happens at various levels: organs, complex tissues, cells, cell membrane, proteins, and small biomolecules. Besides, the inherently soft nature of these materials facilitates mechanical conformity with soft biological systems. The field of organic bioelectronics has experienced tremendous growth over the past two decades, thanks to the design of new conjugated polymers customized for the biotic interface. While hole conducting (p-type) polymers have been widely investigated, electron conducting (n-type) counterparts are relatively new. This dissertation aims to explore the capabilities of n-type conjugated polymers for bioelectronics applications. Chapter 1 overviews the key properties of conjugated polymers and the resulting electronic devices that leverage these properties for specific applications in bioelectronics. Chapter 2 presents microfabricated metabolite (lactate and glucose) sensors based on an n-type polymer in combination with enzymes, and how this communication can enable energy production from bodily fluids. Finally, Chapter 3 reports the development of engineering and design strategies to enhance the performances of n-type polymers in bioelectronics.

The aim of this dissertation is to summarize my research on the development of multifunctional multimaterial fibers that are designed and produced for sensing and modulation applications in wearable and biomedical fields. Fiber-shaped devices have gained significant attention due to their potential in human-machine interface applications. These devices can be woven into fabrics to create smart textiles or used as implantable probes for various biomedical purposes. To meet the requirements of human-machine interface, these fiber devices need to be flexible, robust, scalable, and capable of integrating complex structures and multiple functionalities. The thermal drawing technique has emerged as a promising method for fabricating such fiber devices. It allows for the integration of multiple materials and intricate microstructures, thereby expanding the functionality and applications of the devices. However, the range of materials and structures that can be integrated into these fiber devices is still limited, posing a constraint on their potential applications. To address this limitation, the dissertation focuses on expanding the range of materials and structures that can be integrated into multimaterial fiber devices. This involves the development and application of stretchable electrical and optical deformation fiber sensors by incorporating composite thermoplastic elastomers through the thermal drawing process (Chapter 2). Additionally, the dissertation explores the use of the thermal drawing technique to create multifunctional ferromagnetic fiber robots capable of navigation, sensing, and modulation in minimally invasive surgery (Chapter 3). Furthermore, the integration of nano-optoelectrodes and micro robotic chips on the fiber tip using the combination of thermal drawing and lab-on-fiber techniques is investigated (Chapter 4). The dissertation concludes with an overview of the research findings and potential future directions in the field of multifunctional multimaterial fiber devices (Chapter 5). / Doctor of Philosophy / Human-machine interface (HMI) is the technology that enables communication and interaction between humans and machines or computer systems. It plays a vital role in various domains, including consumer electronics, robotics, healthcare, virtual reality, and industrial automation. Fiber-shaped devices have recently emerged as a promising technology for HMI applications due to their flexibility, lightweight nature, and versatile functionality. These devices can be seamlessly integrated into wearable forms, such as clothing or accessories, and even implanted in the body, opening up a wide range of possibilities for HMI. In the past decades, significant progress has been made in developing multifunctional multimaterial fiber devices using the thermal drawing process (TDP). TDP allows for the fabrication of fibers with complex geometries and microstructures by heating and drawing a preform consisting of different materials. However, the current range of materials and structures that can be integrated into these fiber devices is still limited, which hinders their potential applications. This dissertation aims to expand the capabilities of multimaterial fiber devices by exploring new materials and structures that can be incorporated using TDP. The research focuses on three main areas. First, the development and application of stretchable electrical and optical deformation fiber sensors by integrating composite thermoplastic elastomers are explored (Chapter 2). This enables the sensing of various deformations, enhancing the functionality of the fiber devices. Second, the dissertation investigates the creation of multifunctional ferromagnetic fiber robots capable of navigation, sensing, and modulation in minimally invasive surgery (Chapter 3). These robots offer new possibilities for precise and controlled interventions. Lastly, the integration of nano-optoelectrodes and micro robotic chips on the fiber tip using a combination of thermal drawing and lab-on-fiber techniques is explored (Chapter 4). This allows for advanced optical sensing and remote-control capabilities at the fiber tip. Overall, these three aspects of the project broaden the capabilities and functionalities of multifunctional multimaterial fibers, making them highly versatile and suitable for a wide range of applications in wearable technology and biomedicine. These advancements have the potential to revolutionize the field of human-machine interface (HMI) by enabling seamless and intuitive communication, control, and feedback between humans and machines.

The diversity of network disruptions that occur in patients with neuropsychiatric disorders creates a strong demand for personalized medicine. Such approaches often take the form of implantable bioelectronic devices that are capable of monitoring pathophysiological activity for identifying biomarkers to allow for local and responsive delivery of intervention. They are also required to transmit this data outside of the body for evaluation of the treatment’s efficacy. However, the ability to perform these demanding electronic functions in the complex physiological environment with minimum disruption to the biological tissue remains a big challenge. An optimal fully implantable bioelectronic device would require each component from the front-end to the data transmission to be conformable and biocompatible. For this reason, organic material-based conformable electronics are ideal candidates for components of bioelectronic circuits due to their inherent flexibility, and soft nature. In this work, first an organic mixed-conducting particulate composite material (MCP) able to form functional electronic components and non-invasively acquire high–spatiotemporal resolution electrophysiological signals by directly interfacing human skin is presented. Secondly, we introduce organic electrochemical internal ion-gated transistors (IGTs) as a high-density, high-amplification sensing component as well as a low leakage, high-speed processing unit. Finally, a novel wireless, battery-free strategy for electrophysiological signal acquisition, processing, and transmission that employs IGTs and an ionic communication circuit (IC) is introduced. We show that the wirelessly-powered IGTs are able to acquire and modulate neurophysiological data in-vivo and transmit them transdermally, eliminating the need for any hard Si-based electronics in the implant.

Injuries involving the nervous system are among the most devastating and life altering of all neurological disorders. The resulting loss of sensation and voluntary muscle control represent a drastic change in the individuals lifestyle and independence. Spinal cord injury affects over two hundred thousand people within the United States alone. While there have been many attempts to develop neural interfaces that can be used as part of a prosthetic device to improve the quality of life of such patients and contribute to the reduction of ongoing health care costs, the design of such a device has proved elusive. Direct access to the spinal cord requires potentially life threatening surgery during which the dura, the protective covering surrounding the cord, must be opened with a resulting high risk of infection. For this reason research has been focussed on the stimulation of and recording from the peripheral nerves in an attempt to restore the functionality that has been lost through spinal cord injury. This thesis is concerned with the current status and limitations of peripheral nerve interfaces that are designed for recording electrical signals directly from the nervous system using a technique called velocity selective recording. This technique exploits the relationship between axonal diameter, which is linked via anatomy to function, and the speed with which the axon conducts excitation. New techniques are developed that improve current methods for identifying and simulating neural signals and power efficient implementations of these methods are presented in modern microelectronic platforms. Results are presented from pioneering experiments in rat and pig that for the first time demonstrate the recording and analysis of the physiological electroneurogram using velocity based methods. New methods are developed that enable the extraction of neuronal firing rates and thus the extraction of the information encoded within the nervous system.

Abstract not available