Microelectronic Platform Research Articles

Oral micro-electronic platform for temperature and humidity monitoring

Intraoral theranostics, the integration of diagnostics and therapeutics within the oral cavity, is gaining significant traction. This pioneering approach primarily addresses issues like xerostomia (dry mouth), commonly resulting from cancer treatment, with a specific focus on monitoring temperature and humidity. This paper introduces the innovative Intra-Oral Portable Micro-Electronic (IOPM) fluidic theranostic device platform. It leverages conventional dental spoons by incorporating advanced sensors for precise measurements of oral temperature and humidity. Personalization options include a microfluidic chip and a tooth model, enabling targeted delivery of therapeutic agents to optimize treatment outcomes. The electronic control system simplifies the administration of fluid dosages, intelligently adjusted based on real-time oral cavity temperature and humidity readings. Rigorous experimental evaluations validate the platform’s precision in delivering fluid volumes at predefined intervals. This platform represents a transformative advancement for individuals contending with oral health challenges such as xerostomia (dry mouth). Furthermore, it has the potential to elevate oral healthcare standards by providing advanced diagnostics and tailored therapeutic solutions, benefiting both patients and dental professionals alike.

Large-Scale Monolithic Fabrication of III–V Vertical Nanowires on a Standard Si(100) Microelectronic Substrate

Vertical III–V nanowires are of great interest for a large number of applications, but their integration still suffers from manufacturing difficulties of these one-dimensional nanostructures on the standard Si(100) microelectronic platform at a large scale. Here, a top-down approach based on the structure of a thin III–V epitaxial layer on Si was proposed to obtain monolithic GaAs or GaSb nanowires as well as GaAs–Si nanowires with an axial heterostructure. Based on a few complementary metal–oxide–semiconductor-compatible fabrication steps, III–V nanowires with a high crystalline quality as well as a uniform diameter (30 nm), morphology, positioning, and orientation were fabricated. In addition, the patterning control of nanowires at the nanoscale was thoroughly characterized by structural and chemical analyses to finely tune the key process parameters. To properly control the morphology of the nanowires during reactive-ion etching (RIE), the balance between the plasma properties and the formation of a protective layer on the nanowire sidewall was studied in detail. Furthermore, high-resolution microscopy analyses were performed to gain a better understanding of the protective layer’s composition and to observe the crystalline quality of the nanowires. This approach paves the way for the possible scale-up integration of III–V-based nanowire devices with conventional Si/complementary metal–oxide–semiconductor technology.

Opportunities and challenges for spintronics in the microelectronics industry

Spintronic devices exploit the spin, as well as the charge, of electrons and could bring new capabilities to the microelectronics industry. However, in order for spintronic devices to meet the ever-increasing demands of the industry, innovation in terms of materials, processes and circuits are required. Here, we review recent developments in spintronics that could soon have an impact on the microelectronics and information technology industry. We highlight and explore four key areas: magnetic memories, magnetic sensors, radio-frequency and microwave devices, and logic and non-Boolean devices. We also discuss the challenges—at both the device and the system level—that need be addressed in order to integrate spintronic materials and functionalities into mainstream microelectronic platforms.

Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons

In today’s data-driven world, the ability to process large data volumes is crucial. Key tasks, such as pattern recognition and image classification, are well suited for artificial neural networks (ANNs) inspired by the brain. Neuromorphic computing approaches aimed towards physical realizations of ANNs have been traditionally supported by micro-electronic platforms, but recently, photonic techniques for neuronal emulation have emerged given their unique properties (e.g. ultrafast operation, large bandwidths, low cross-talk). Yet, hardware-friendly systems of photonic spiking neurons able to perform processing tasks at high speeds and with continuous operation remain elusive. This work provides a first experimental report of Vertical-Cavity Surface-Emitting Laser-based spiking neurons demonstrating different functional processing tasks, including coincidence detection and pattern recognition, at ultrafast rates. Furthermore, our approach relies on simple hardware implementations using off-the-shelf components. These results therefore hold exciting prospects for novel, compact and high-speed neuromorphic photonic platforms for future computing and Artificial Intelligence systems.

Cellular level classification of breast cancer through proteomic markers using nanochannel array sensors.

A nanochannel-based sensor for cellular level classification of breast cancer metastasis has been designed. Our approach to the classification of cell's likelihood to metastasize is based on screening for levels of expression of specific proteomic biomarkers associated with breast cancer stem cells. Proteomic activity for four breast cancer cell lines for three specific markers (PDGFR, ALDH1A1 and ALDH1A3) was quantified. The nanochannel sensor is an electrochemical immunoassay and comprises of alumina nanochannel arrays integrated on to a gold microelectronic platform. The sensor operates on the principle of electrochemical impedance spectroscopy. Test cell lysate samples from SUM159 invasive, SUM159 noninvasive, HC1143 and DCIS cell lines were classified as those having a high likelihood of metastases based on the levels of proteomic activity evaluated against the three key markers. The lowest proteomic activity measured was 0.1 ng/ml with PDGFR, 100 ng/ml with ALDH1A1 and 100 ng/ml with ALDH1A3, correlating to the detection of unit stem cell count. Original submitted 9 November 2012; Revised submitted 29 July 2013.

Breast Cancer Classification Using Nanochannel Arrays

ABSTRACTThe ability to design a diagnostics platform that can achieve cellular level as well as molecular level classification of targeted biomarkers may be critical toward understanding the fundamental basis of disease initiation and proliferation in breast cancer. In this context, we have looked at breast cancer diagnostics and present the design of a biomedical microdevice for evaluating and classifying cellular samples based on their risk towards metastasis. Primary breast cancer tumors have been shown to contain heterogeneous populations of neoplastic cells. Recent studies have demonstrated that subpopulations of these cells can cooperate in the initiation of collective invasion and metastasis. The role of the sensor we present is to identify the type of cells as non-invasive/”follower” cells that do not result in metastasis or invasive “leader” cells that are thought to be responsible for metastasis, from breast cancer cell lysate samples, thus enabling more selective classification of samples, with the eventual goal of early diagnosis. The device is an electrical immunoassay that incorporates the PDGF- receptor to screen the cell lysate samples for the PGDF binding protein that is preferentially expressed in the invasive, “leader” cells. The sensor comprises of alumina nanochannel arrays integrated on to a microelectronic platform operating on the principle of electrochemical impedance spectroscopy to quantify the PGDF protein from the cell lysates.

Tuning electronics to fit biology: An integrated microelectronic platform for combined sensing, stimulation and electroporation of single cells

Tuning electronics to fit biology: An integrated microelectronic platform for combined sensing, stimulation and electroporation of single cells

Efficient detection of leukemia-related fusion transcripts by multiplex PCR applied on a microelectronic platform

The identification of prognostically relevant fusion genes is required in the routine diagnostic process of most advanced clinical protocols for leukemia patients, either for risk stratification, target-specific treatments, and/or as markers for monitoring Minimal Residual Disease during treatment. However, there is emerging need to implement diagnostics and patient classification based on other biological features, such as expression levels of specific genes or genomic polymorphisms and/or mutations. This advancement would ideally be pursued in a diagnostic laboratory by an unique platform capable of different diagnostic purposes. We developed a rapid, accurate and reproducible assay to screen for the most common fusion gene transcripts in human leukemia, which combines a multiplex RT-PCR approach with the electronic hybridization and fluorescent detection on the Nanogen NanoChip Molecular Biology Workstation. This study demonstrates, as a proof-of-principle, that this microelectronic device, highly effective in detecting single base mutations, is also efficient in the analysis of gene expression, thus providing as a multi-purpose platform for relevant comprehensive diagnostics of hemato-oncology patients.

Lab on a Chip for Live-Cell Manipulation

Precisely manipulating and sorting live cells on a lab on a chip is still a major challenge. This article shows how to use dielectrophoresis for cell sorting. The authors also describe a prototype CMOS chip with a sensor-actuator array, row-column addressing logic and readout circuitry. In this article, we examine the new microelectronic technology that gives scientists the ability to monitor, sort, and analyze vast populations of cells and interact with each cell individually. A microelectronic platform called a lab on a chip (LoC) allows precise manipulation of cells with no effect on their phenotypes. The motivation for developing this technology is that investigations in recent years have shown that a few cells changing their behavior unexpectedly can induce deadly diseases such as cancer. Current LoC design and manufacturing techniques are spawning new biotechnology methods with potential for research, diagnosis, and therapy.

The Crystallographic Properties of Strained Silicon Measured by X-Ray Diffraction

Strained silicon represents a materials-based enhancement to further scaling of CMOS transistors. In epitaxial strained silicon substrates, strain is provided by a relaxed SiGe graded buffer layer that expands the in-plane lattice constant of silicon. Because this is accompanied by the introduction of crystalline defects, in the form of dislocations, mosaic structure, and lattice tilting, the deposition of strained silicon occurs on imperfect substrates. Therefore, there is a fundamental need to study the materials properties to ensure strained silicon substrates meet the rigorous criteria for CMOS processing. This paper focuses on the in-depth investigation of the crystallographic properties of epitaxial strained silicon and strained silicon on insulator (SSOI) substrates by X-ray diffraction (XRD). The results for both epitaxial strained silicon and bonded SSOI substrates are presented and contrasted, with particular emphasis on the effect of the layer transfer process used during the formation of SSOI substrates. Although the focus is on strained silicon, the X-ray diffraction techniques highlighted in this paper are readily extendable to other materials heterostructures, such as germanium on insulator, strained germanium, and III–V compound semiconductors on insulator, allowing characterization of many future microelectronic platforms.

Development of a Microelectronic Chip Array for High-Throughput Genotyping of Helicobacter Species and Screening for Antimicrobial Resistance

A microelectronic array assay was developed to specifically genotype Helicobacter pylori versus Helicobacter heilmannii and to determine antimicrobial resistance. Helicobacter 16S rRNA and 23S rRNA genes were specifically generated with Helicobacter genus-specific primers, respectively. The single-nucleotide polymorphisms (SNPs) in 16S rRNA, 268T specific in the H. pylori sequence, and 263A specific in H. heilmannii were used as molecular markers for identification of H. pylori and H. heilmannii, respectively. A triple-base-pair resistant mutation, AGA965-967TTC in 16S rRNA, is known to be responsible for H. pylori tetracycline resistance and was detected to identify resistant strains. H. pylori macrolide resistance was determined by the identification of 3 defined mutations in the 23S rRNA gene using the same method. The assay could be directly used to detect H. pylori in feces. The assay performs multiple determinations, including identification of Helicobacter species and antibiotic resistances, on the same microelectronic platform and is highly amenable to the development of other DNA-based assays.

Synthesis and use of a novel SnO 2 nanomaterial for gas sensing

Decomposition of the organometallic precursor [Sn(NMe 2) 2] 2 in a controlled water/anisol mixture leads to the formation of monodisperse nanocomposite particles of Sn/SnO x . Full oxidation of the particles into SnO 2 occurs at 600°C without size or morphology change. These particles can be deposited onto silicon nitride covered microelectronic platforms and used as sensitive layers of gas sensors. Doping of the sensors with palladium can be achieved either by co-decomposition of organometallic precursors (doping in volume) or by deposition of palladium on preformed SnO 2 nanoparticles (doping in surface). The doped sensors display an unusually high sensitivity for CO sensing.