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Applications of Electrical Impedance Spectroscopy(EIS) in the Development of Sensors and Sensing Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (21 December 2019) | Viewed by 18719

Special Issue Editors


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Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi" Viale del Risorgimento 2, Bologna, Italy
Interests: Fault Tolerance; Reliability; DfT

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Guest Editor
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi", Viale del Risorgimento 2, Bologna, Italy
Interests: sensors; electrical impedance spectroscopy; optical spectroscopy; food analysis; portable sensor systems
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Special Issue Information

Dear Colleagues,

Electrical Impedance Spectroscopy (EIS) is a powerful technique that can be used in a broad range of applications, from biological analysis to food quality assessment, from measurements of battery state of charge to corrosion analysis. The working principle of EIS is based on the measurement of the impedance of the investigated sample in a wide range of frequencies in order to estimate the parameters of interest from the measured impedance spectrum. The first application of EIS dates to 1894, but it was only in the late 1970s that, thanks to the introduction of affordable computer-controlled impedance meters, interest in the technique increased. Since then, the number of scientific papers on EIS applications has grown constantly and doubled every 4 or 5 years. EIS can be used for quick, non-invasive analysis in different fields of applications, thus replacing expensive and time-consuming laboratory analysis with quick in-situ measurements that can be implemented using low-cost electronics, for example, based on microcontrollers or FPGA. From this point of view, the introduction to the market of the integrated circuit AD5933, a low-cost impedance analyzer on chip that can be interfaced with a microcontroller using the I2C protocol, has made even simpler the design of embedded sensor systems based on EIS. Recently, there has also been an increased interest in the development of EIS-based smartphone sensing systems. Modern mobile phones, merging high computation capability; an integrated, rich set of sensors; and wired as well wireless data transfer technologies are, in fact, ideal for the development of low-cost portable sensors in the paradigm of the Internet of Things (IoT).

The goal of this special issue is the publication of high quality papers discussing recent advancements in the development of EIS based applications. The editors welcome original research articles that has not been submitted or published on other journals, as well as review articles discussing the state-of-the-art of EIS applications.

Dr. Martin Eugenio Omana
Dr. Marco Grossi
Guest Editors

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Keywords

  • impedance spectroscopy
  • electrical model
  • measurement
  • sensors
  • bacteria
  • biological analysis
  • food analysis
  • corrosion analysis
  • battery analysis
  • embedded systems

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Published Papers (4 papers)

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Research

16 pages, 4676 KiB  
Article
Methods for Detection of Bioimpedance Variations in Resource Constrained Environments
by Eiko Priidel, Paul Annus, Andrei Krivošei, Marek Rist, Raul Land, Mart Min and Olev Märtens
Sensors 2020, 20(5), 1363; https://doi.org/10.3390/s20051363 - 2 Mar 2020
Cited by 3 | Viewed by 3255
Abstract
Changes in a certain parameter are often a few magnitudes smaller than the base value of the parameter, specifying significant requirements for the dynamic range and noise levels of the measurement system. In case of electrical bioimpedance acquisition, the variations can be 1000 [...] Read more.
Changes in a certain parameter are often a few magnitudes smaller than the base value of the parameter, specifying significant requirements for the dynamic range and noise levels of the measurement system. In case of electrical bioimpedance acquisition, the variations can be 1000 times smaller than the entire measured value. Synchronous or lock-in measurement of these variations is discussed in the current paper, and novel measurement solutions are presented. Proposed methods are simple and robust when compared to other applicable solutions. A common feature shared by all members of the group of the proposed solutions is differentiation. It is achieved by calculating the differences between synchronously acquired consecutive samples, with lock-in integration and analog differentiation. All these methods enable inherent separation of variations from the static component of the signal. The variable component of the bioimpedance can, thus, be acquired using the full available dynamic range of the apparatus for its detection. Additive disturbing signals and omnipresent wideband noise are considered and the method for their reduction is proposed. Full article
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12 pages, 2448 KiB  
Article
Classification of Wood Chips Using Electrical Impedance Spectroscopy and Machine Learning
by Markku Tiitta, Valtteri Tiitta, Jorma Heikkinen, Reijo Lappalainen and Laura Tomppo
Sensors 2020, 20(4), 1076; https://doi.org/10.3390/s20041076 - 17 Feb 2020
Cited by 29 | Viewed by 4038
Abstract
Wood chips are extensively utilised as raw material for the pulp and bio-fuel industry, and advanced material analyses may improve the processes in utilizing these products. Electrical impedance spectroscopy (EIS) combined with machine learning was used in order to analyse heartwood content of [...] Read more.
Wood chips are extensively utilised as raw material for the pulp and bio-fuel industry, and advanced material analyses may improve the processes in utilizing these products. Electrical impedance spectroscopy (EIS) combined with machine learning was used in order to analyse heartwood content of pine chips and bark content of birch chips. A novel electrode system integrated in a sampling container was developed for the testing using frequency range 42 Hz–5 MHz. Three electrode pairs were used to measure the samples in x-, y- and z-direction. Three machine learning methods were used: K-nearest neighbor (KNN), decision tree (DT) and support vector machines (SVM). The heartwood content of pine chips and bark content of birch chips were classified with an accuracy of 91% using EIS from pure materials combined with a k-nearest neighbour classifier. When using mixed materials and multiple classes, 73% correct classification for pine heartwood content (four groups) and 64% for birch bark content (five groups) were achieved. Full article
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17 pages, 7192 KiB  
Article
A Wide-Band Digital Lock-In Amplifier and Its Application in Microfluidic Impedance Measurement
by Kan Huang, Yangye Geng, Xibin Zhang, Dihu Chen, Zhigang Cai, Min Wang, Zhen Zhu and Zixin Wang
Sensors 2019, 19(16), 3519; https://doi.org/10.3390/s19163519 - 11 Aug 2019
Cited by 22 | Viewed by 5736
Abstract
In this work, we report on the design of a wide-band digital lock-in amplifier (DLIA) of up to 65 MHz and its application for electrical impedance measurements in microfluidic devices. The DLIA is comprised of several dedicated technologies. First, it features a fully [...] Read more.
In this work, we report on the design of a wide-band digital lock-in amplifier (DLIA) of up to 65 MHz and its application for electrical impedance measurements in microfluidic devices. The DLIA is comprised of several dedicated technologies. First, it features a fully differential analog circuit, which includes a preamplifier with a low input noise of 4.4 nV/√Hz, a programmable-gain amplifier with a gain of 52 dB, and an anti-aliasing, fully differential low-pass filter with −76 dB stop-band attenuation. Second, the DLIA has an all-digital phase lock loop, which features a phase deviation of less than 0.02° throughout the frequency range. The phase lock loop utilizes an equally accurate period-frequency measurement, with a sub-ppm precision of frequency detection. Third, a modified clock link is implemented in the DLIA to improve the signal-to-noise ratio of the analog-to-digital converter affected by clock jitter of up to 20 dBc. A series of measurements were performed to characterize the DLIA, and the results showed an accurate performance. Additionally, impedance measurements of standard-size microparticles were performed by frequency sweep from 300 kHz to 30 MHz, using the DLIA in a microfluidic device. Different diameters of microparticle could be accurately distinguished according to the relative impedance at 2.5 MHz. The results confirm the promising applications of the DLIA in microfluidic electrical impedance measurements. Full article
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12 pages, 1930 KiB  
Article
Online Monitoring of Moisture Diffusion in Carbon Fiber Composites Using Miniaturized Flexible Material Integrated Sensors
by Martina Hübner, Dennis Lepke, Elisabeth Hardi, Michael Koerdt, Axel S. Herrmann and Walter Lang
Sensors 2019, 19(8), 1748; https://doi.org/10.3390/s19081748 - 12 Apr 2019
Cited by 13 | Viewed by 4220
Abstract
Moisture diffusion in carbon fiber composites changes the mechanical properties of the composite. Therefore, a monitoring method of the actual content of moisture in the composite is important. However, at the moment there are no online methods established. A common method is the [...] Read more.
Moisture diffusion in carbon fiber composites changes the mechanical properties of the composite. Therefore, a monitoring method of the actual content of moisture in the composite is important. However, at the moment there are no online methods established. A common method is the measurement of the mass changes due to water uptake. This method is not suitable for online monitoring of a real composite part in service. We demonstrate that miniaturized flexible interdigital sensors are suitable for moisture measurement inside the carbon fiber composite. These sensors are directly integrated inside the composite. It was already demonstrated that these can be successfully used for resin-curing monitoring as a primary application. Here we demonstrate that the same sensors are also suitable for moisture measurement inside the material. In order to do so, we expose samples with and without integrated sensors to hot-wet conditions and measure the dielectric changes with the sensors and the mass gain. The moisture concentration and the measured admittance can be directly correlated to each other. This demonstrates that the sensors can be used for moisture measurement as a secondary application. In addition, it is shown that the sensors have the potential to measure the moisture locally inside the material. Full article
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