Optimisation of an Electrical Impedance Sensor for Use in Microfluidic Chip Electrophoresis

Hantschke, Martin; Triantis, Iasonas F.

doi:10.1109/jsen.2021.3127320

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…On the top layer of electrodes was carbon-biocompatible ink rich in IrOx particles. Hantschke et al integrated electrophoretic and electrical impedance sensors for point-of-care (POC) diagnostics [49], where the electrodes and microchannels were fabricated on polymethylmethacrylate (PMMA) substrates. Two microfluidic chambers were designed on a cyclic olefin copolymer substrate.…”

Section: Polymer-based Impedance Biosensorsmentioning

confidence: 99%

A Review on Microfluidics-Based Impedance Biosensors

et al. 2023

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Electrical impedance biosensors are powerful and continuously being developed for various biological sensing applications. In this line, the sensitivity of impedance biosensors embedded with microfluidic technologies, such as sheath flow focusing, dielectrophoretic focusing, and interdigitated electrode arrays, can still be greatly improved. In particular, reagent consumption reduction and analysis time-shortening features can highly increase the analytical capabilities of such biosensors. Moreover, the reliability and efficiency of analyses are benefited by microfluidics-enabled automation. Through the use of mature microfluidic technology, complicated biological processes can be shrunk and integrated into a single microfluidic system (e.g., lab-on-a-chip or micro-total analysis systems). By incorporating electrical impedance biosensors, hand-held and bench-top microfluidic systems can be easily developed and operated by personnel without professional training. Furthermore, the impedance spectrum provides broad information regarding cell size, membrane capacitance, cytoplasmic conductivity, and cytoplasmic permittivity without the need for fluorescent labeling, magnetic modifications, or other cellular treatments. In this review article, a comprehensive summary of microfluidics-based impedance biosensors is presented. The structure of this article is based on the different substrate material categorizations. Moreover, the development trend of microfluidics-based impedance biosensors is discussed, along with difficulties and challenges that may be encountered in the future.

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Section: Polymer-based Impedance Biosensorsmentioning

confidence: 99%

A Review on Microfluidics-Based Impedance Biosensors

et al. 2023

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“…In the microfluidic field, the time-domain raw electrical signals contain rich information, extending beyond typical impedance characterization for measuring cell size, membrane capacitance, and intracellular conductivity. These data can also rapidly obtain valuable additional information, such as monitoring cell position [142], cell shape, and mechanical properties [45,112,143]. Capturing intracellular features and integrating this information with electrical signals present new challenges for the next generation of single-cell electrical detection.…”

Section: Electrical Characterization and Processingmentioning

confidence: 99%

Microfluidic characterization of single‐cell biophysical properties and the applications in cancer diagnosis

Li,

Xue,

et al. 2023

Electrophoresis

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Single‐cell biophysical properties play a crucial role in regulating cellular physiological states and functions, demonstrating significant potential in the fields of life sciences and clinical diagnostics. Therefore, over the last few decades, researchers have developed various detection tools to explore the relationship between the biophysical changes of biological cells and human diseases. With the rapid advancement of modern microfabrication technology, microfluidic devices have quickly emerged as a promising platform for single‐cell analysis offering advantages including high‐throughput, exceptional precision, and ease of manipulation. Consequently, this paper provides an overview of the recent advances in microfluidic analysis and detection systems for single‐cell biophysical properties and their applications in the field of cancer. The working principles and latest research progress of single‐cell biophysical property detection are first analyzed, highlighting the significance of electrical and mechanical properties. The development of data acquisition and processing methods for real‐time, high‐throughput, and practical applications are then discussed. Furthermore, the differences in biophysical properties between tumor and normal cells are outlined, illustrating the potential for utilizing single‐cell biophysical properties for tumor cell identification, classification, and drug response assessment. Lastly, we summarize the limitations of existing microfluidic analysis and detection systems in single‐cell biophysical properties, while also pointing out the prospects and future directions of their applications in cancer diagnosis and treatment.

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“…Most of the existing test equipment for the market is related to the special function of the equipment or reliability test equipment; the test of contact resistance does not put forward specific precision indicators, the lack of on-off logic in the process of shifting the judgment of human-computer interaction is a low degree of intelligence, is not suitable for the assembly of the key parameters of the rapid and efficient online testing [12][13][14]. [In this paper, the ARM microprocessor is used as the control core, the four-wire method is used to reduce the error caused by the lead resistance to the contact resistance measurement, and the data fusion algorithm is used to process the data [15]. At the same time, the system is designed to realize the development of the assembly electrical parameter tester by using the relevant hardware, such as the current and voltage signal-detecting circuits [16].…”

Section: Introductionmentioning

confidence: 99%

Visualization and analysis of electrical parameter design based on digital sensors

Wan,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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This paper provides an in-depth study on the application of digital sensor technology in electrical fire detection. It firstly focuses on the design of electrical parameters to improve the accuracy of fire detection. Based on the research results of recurrent neural networks, the article combines the Long Short-Term Memory (LSTM) network and the Gated Recurrent Unit (GRU) neural network. It innovatively proposes an electrical fire feature recognition method based on the LSTMGRU network. The study also incorporates fuzzy inference techniques to optimize the fire alarm decision-making process, which achieves a hierarchical output for electrical fire detection recognition and alarm decision-making. The experimental results show that the LSTM-GRU network achieves an accuracy of 98.83% in electrical fire classification and recognition, significantly better than the results of using LSTM network or GRU network alone. Regarding electrical fire distance recognition, the relative error of the method only ranges from 0.32% to 2.10%, and its output of fire alarm decision is entirely correct. The study not only verifies the high accuracy and reasonableness of the electrical fire feature recognition method based on digital sensing technology, but also provides a brand new idea for recognizing electrical fire detection and alarm decision-making.

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Optimisation of an Electrical Impedance Sensor for Use in Microfluidic Chip Electrophoresis

Cited by 4 publications

References 26 publications

A Review on Microfluidics-Based Impedance Biosensors

A Review on Microfluidics-Based Impedance Biosensors

Microfluidic characterization of single‐cell biophysical properties and the applications in cancer diagnosis

Visualization and analysis of electrical parameter design based on digital sensors

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