scholarly journals Flexographic and Inkjet Printing of Polymer Optical Waveguides for Fully Integrated Sensor Systems

2014 ◽  
Vol 15 ◽  
pp. 521-529 ◽  
Author(s):  
Tim Wolfer ◽  
Patrick Bollgruen ◽  
Dario Mager ◽  
Ludger Overmeyer ◽  
Jan G. Korvink
Micromachines ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 72 ◽  
Author(s):  
Da-Quan Yang ◽  
Bing Duan ◽  
Xiao Liu ◽  
Ai-Qiang Wang ◽  
Xiao-Gang Li ◽  
...  

The ability to detect nanoscale objects is particular crucial for a wide range of applications, such as environmental protection, early-stage disease diagnosis and drug discovery. Photonic crystal nanobeam cavity (PCNC) sensors have attracted great attention due to high-quality factors and small-mode volumes (Q/V) and good on-chip integrability with optical waveguides/circuits. In this review, we focus on nanoscale optical sensing based on PCNC sensors, including ultrahigh figure of merit (FOM) sensing, single nanoparticle trapping, label-free molecule detection and an integrated sensor array for multiplexed sensing. We believe that the PCNC sensors featuring ultracompact footprint, high monolithic integration capability, fast response and ultrahigh sensitivity sensing ability, etc., will provide a promising platform for further developing lab-on-a-chip devices for biosensing and other functionalities.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 721
Author(s):  
Maha Aldoumani ◽  
Baris Yuce ◽  
Dibin Zhu

In this paper, the performance, modelling and application of a planar electromagnetic sensor are discussed. Due to the small size profiles and their non-contact nature, planar sensors are widely used due to their simple and basic design. The paper discusses the experimentation and the finite element modelling (FEM) performed for developing the design of planar coils. In addition, the paper investigates the performance of various topologies of planar sensors when they are used in inductive sensing. This technique has been applied to develop a new displacement sensor. The ANSYS Maxwell FEM package has been used to analyse the models while varying the topologies of the coils. For this purpose, different models in FEM were constructed and then tested with topologies such as circular, square and hexagon coil configurations. The described methodology is considered an effective way for the development of sensors based on planar coils with better performance. Moreover, it also confirms a good correlation between the experimental data and the FEM models. Once the best topology is chosen based on performance, an optimisation exercise was then carried out using uncertainty models. That is, the influence of variables such as number of turns and the spacing between the coils on the output inductance has been investigated. This means that the combined effects of these two variables on the output inductance was studied to obtain the optimum values for the number of turns and the spacing between the coils that provided the highest level of inductance from the coils. Integrated sensor systems are a pre-requisite for developing the concept of smart cities in practice due to the fact that the individual sensors can hardly meet the demands of smart cities for complex information. This paper provides an overview of the theoretical concept of smart cities and the integrated sensor systems.


2015 ◽  
Vol 2015 (DPC) ◽  
pp. 001847-001884
Author(s):  
Peter Ramm ◽  
Armin Klumpp ◽  
Alan Mathewson ◽  
Kafil M. Razeeb ◽  
Reinhard Pufall

The European 3D heterogeneous integration platform has been established by the consortium of the Integrated Project e-BRAINS [1], where technologies of the following relevant main categories of 3D integration are provided to enable future applications of smart sensor systems:3D System-on-Chip Integration - 3D-SOC: TSV technology for stacking of thinned devices or large IC blocks (global level),3D Wafer-Level-Packaging - 3D-WLP: embedding technology with through-polymer vias (TPV) for stacking of thinned ICs on wafer-level (no TSV), and3D System-in-Package - 3D-SIP: 3D stacking of packaged devices or substrates *definitions according to [2] Regarding TSV performance, the applications do not need ultra-high vertical interconnect densities as for 3D stacked Integrated Circuits – 3D-SIC*. Nevertheless, the lateral sizes of the TSVs are preferably minimized to allow for place and route for small “open” IC areas. Smaller TSVs are also preferred in order to reduce thermo-mechanical stress. e-BRAINS' focus is on how heterogeneous integration and sensor device technologies can be combined to bring new performance levels to targeted applications with high market potentials. The consortium, under coordination of Infineon and technical management by Fraunhofer EMFT, is composed of major European system manufacturers (Infineon, Siemens, SensoNor, 3D PLUS, Vermon and IQE), SMEs (DMCE, Magna Diagnostics, SORIN and eesy-ID), the large research institutions CEA Grenoble, Fraunhofer (EMFT Munich & IIS-EAS Dresden), imec, SINTEF, Tyndall and ITE Warsaw, and universities (EPFL Lausanne, TU Chemnitz and TU Graz). Target applications include automotive, ambient living and medical devices, with a specific focus on wireless sensor systems. Concerning the enabling 3D Heterogeneous Integration Platform, the e-BRAINS partners are working close together, where Infineon, Fraunhofer EMFT, imec and SINTEF are focusing mainly on 3D-SOC and 3D-WLP, and the French system manufacturer 3D PLUS and Tyndall on 3D-WLP and 3D-SIP technologies. The focus of this paper is on low-temperature bonding processes for highly reliable 3D integrated sensor systems. One of the key issues for heterogeneous systems production is the impact of 3D processes to the reliability of the product, i.e. the high built-in stresses caused by e.g. the CTE mismatch of complex layer structures (thin Si, ILDs, metals etc.) in combination with elevated bonding temperatures. As consequence, extensive project work was dedicated in the developments of reliable low-temperature bonding processes. Mainly intermetallic compound (IMC) bonding with Cu/Sn metal systems supported by ultrasonic agitation (Fraunhofer EMFT) was successfully introduced in 3D integration technology (see Fig. 2). A copper/tin solid-liquid interdiffusion (SLID) system was investigated using ultrasonic agitation to reduce the assembly temperature below the melting point of tin. Cleaning procedures are important shortly before joining the samples; dry cleaning has best results due to removal of thin oxide layers. Figure 2 shows a cross section of US supported Cu/Sn bonding at 150C. The intermetallic compounds Cu3Sn and Cu6Sn5 as well as pure tin easily can be identified. Due to low temperature assembly the most stable intermetallic compound (IMC) Cu3Sn has a minor share of the metal system. Most importantly there is no gap between top and bottom part of the joint despite the macroscopic assembly temperature is far away from the melting point of tin. But maybe the ultrasonic agitation brings enough energy to the interfaces, so locally melting can occur. In this way robust IMC bonding technology at 150C could be demonstrated with shear forces of 17 MPa and an alignment accuracy of 3 μm, well-suited for 3D integration. Figure 2: Low-temperature IMC bonding technology using ultrasonic agitation (Fraunhofer EMFT) Reliability for SLID contacts is certainly a very challenging objective especially looking for robust solutions in automotive applications. Thermally induced mechanical stress is the main reason for early fails during temperature cycling. Cross sectioned samples were investigated and methods like nanoindentation, Raman spectroscopy, fibDAC, and high local resolution x-ray scattering were applied to measure the intrinsic stresses. It can be shown that low temperature bonding is the right approach to avoid excessive stress cracking the interface or even fracturing the silicon. Also fatigue of metals can be reduced in a range that plastic deformation is no lifetime limiting factor.


2010 ◽  
Vol 2010 (0) ◽  
pp. _2P1-C17_1-_2P1-C17_4
Author(s):  
Nobuyuki Ito ◽  
Junichi Urata ◽  
Yuto Nakanishi ◽  
Kei Okada ◽  
Masayuki Inaba

Micromachines ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 251 ◽  
Author(s):  
Nicolaos Christodoulides ◽  
Michael P. McRae ◽  
Glennon W. Simmons ◽  
Sayli S. Modak ◽  
John T. McDevitt

The McDevitt group has sustained efforts to develop a programmable sensing platform that offers advanced, multiplexed/multiclass chem-/bio-detection capabilities. This scalable chip-based platform has been optimized to service real-world biological specimens and validated for analytical performance. Fashioned as a sensor that learns, the platform can host new content for the application at hand. Identification of biomarker-based fingerprints from complex mixtures has a direct linkage to e-nose and e-tongue research. Recently, we have moved to the point of big data acquisition alongside the linkage to machine learning and artificial intelligence. Here, exciting opportunities are afforded by multiparameter sensing that mimics the sense of taste, overcoming the limitations of salty, sweet, sour, bitter, and glutamate sensing and moving into fingerprints of health and wellness. This article summarizes developments related to the electronic taste chip system evolving into a platform that digitizes biology and affords clinical decision support tools. A dynamic body of literature and key review articles that have contributed to the shaping of these activities are also highlighted. This fully integrated sensor promises more rapid transition of biomarker panels into wide-spread clinical practice yielding valuable new insights into health diagnostics, benefiting early disease detection.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
R. Zamboni ◽  
A. Zaltron ◽  
M. Chauvet ◽  
C. Sada

AbstractDroplets microfluidics is broadening the range of Lab on a Chip solutions that, however, still suffer from the lack of an adequate level of integration of optical detection and sensors. In fact, droplets are currently monitored by imaging techniques, mostly limited by a time-consuming data post-processing and big data storage. This work aims to overcome this weakness, presenting a fully integrated opto-microfluidic platform able to detect, label and characterize droplets without the need for imaging techniques. It consists of optical waveguides arranged in a Mach Zehnder’s configuration and a microfluidic circuit both coupled in the same substrate. As a proof of concept, the work demonstrates the performances of this opto-microfluidic platform in performing a complete and simultaneous sequence labelling and identification of each single droplet, in terms of its optical properties, as well as velocity and lengths. Since the sensor is realized in lithium niobate crystals, which is also highly resistant to chemical attack and biocompatible, the future addition of multifunctional stages into the same substrate can be easily envisioned, extending the range of applicability of the final device.


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