Nanoelectronics for sensor technologies
©https://doi.org/10.1021/acs.na
About us
(Bio)sensor development enabled by advances in micro- and nanofabrication as well as microfluidics has been a growing field since decades ago, aiming at facilitating the task of disease detection or physiological parameter monitoring. We have seen biosensor evolution from the first glucose detecting devices in the 60s to be used in medical facilities to the more recent point-of-care devices handheld by the patients themselves at the comfort of their own home. Among the existing sensors, those relying on nanomaterials and nanostructures as sensing surface offer the highest sensitivity, as demonstrated during the last two decades, even reaching the possibility of single molecule detection. Those with transduction mechanisms based on electrical effects (electrochemical, potentiometric, impedimetric, etc.) provide the finest suitability for miniaturization, requiring simpler setups where arrays of many sensors can be combined for a label-free and continuous analysis of the analyte of interest. In this way, full integration possibilities exist in combination with further circuit packaging for signal processing which require standard electronic microfabrication processes.
©TUD
In the research line “Nanoelectronics for sensor technologies”, we aim at covering the necessary steps for the development of ultrasensitive gas sensors and biosensors. We make use of both top-down and bottom-up fabrication routes to obtain nanomaterials that will be later integrated in electronic supports, rigid or flexible. We take care of introducing biochemical modifications to achieve the selectivity toward specific analytes of interest. We manipulate samples and reagents with the help of microfluidics, as smart tool for the controlled mixing, delivery and parallelization at small scales. Through interaction with other members of the Chair, we perform theoretical analysis of our devices and introduce machine learning capabilities that boost their performance. Beyond simply detecting target molecules, we investigate and get insights on new detection techniques and phenomena that take place thanks to the presence of the nanoscale matter, and exploit unexpected findings toward new applications.
Research topics
Gas sensing
We refer to novel and reliable strategies to develop fast response, highly sensitive and selective, low-cost gas sensors. Gas sensors are extensively utilized in monitoring air quality, ensuring public safety, breathe analysis for disease diagnosis, and providing useful information in our surrounding environment. A myriad of devices based on traditional metal oxide semiconductor materials have been developed, nevertheless, their selectivity and power-consumption are still far from satisfactory. To address the selectivity issues of gas sensors, on one hand, in combination with machine learning techniques, each gas could be represented by unique feature vector (called gas fingerprint), which could enhance the selectivity. On the other hand, by introducing specific foreign functional materials (noble metal nanoparticles, MOX particles, etc.) onto the sensing substrate materials (graphene, CNT, MOFs, or other 2D materials), due to the specific bonding interaction creation between analyte molecules and functionalized molecules, the selectivity could also be enhanced. More beyond the gas detection in stationary module, gas sensors with fast response and excellent selectivity characteristics are available to be integrated into mobile devices (e.g., smartphone, ground-dog, air vehicles, etc.), showing promising applications in olfactory navigation field, such as localization of gas sources in complex environments.
©TUD
Biosensing
The pandemic situation that we are dealing with has shown very clearly the importance of medical diagnostics: there is a high demand for early detection of possible pathogens in order to take immediate action such as preventing the spread of any infectious disease and moreover to start medical actions when the disease is not at a critical stage yet. Apart from Covid-19, the early detection of multiple diseases such as cancer, Alzheimer, Parkinson, etc. is relevant. For diagnostics of the maladies, physicians have to rely on the testing of specific biomarkers whose analysis is typically executed in dedicated labs – a time and work-intense procedure. To circumvent these impairments, the successful development of biosensors which are capable to detect analytes preferably in real-time and on the point of care- while being low-cost and easy to use by nurses, technicians, or even the patients themselves- will improve the field of medical diagnostics.
Our group offers a variety of knowledge and expertise in development of biosensors for point-of-care measurements. We work with multiple transduction platforms that range from electronic sensors (field-effect transistors, chemiresistors) based on 1D/2D materials (silicon nanowires, carbon nanotubes, graphene…) to electrochemical sensors (impedance, amperometry). We can manufacture the sensors on non-rigid substrates, too. By performing an appropriate surface modification with fitting receptors, we are able to detect analytes down to very low concentration ranges. Further, we are interested in the application of sensors for in vivo purposes and hence focus on the incorporation of appropriate surface coatings to achieve biocompatibility of the sensors – while keeping them sensitive and selective.
©TUD
Neuromorphics
Strong scientific efforts try to emulate brain function to avoid the bottleneck imposed by the data communication rate in the von Neumann architecture. With the development of the so-called neuromorphic devices, the main focus has been put on the synaptic function as key elements interlacing neurons. However, the neuron is also an important element integrating non-linearly the received information in its membrane and generating new signals to other neurons. In our group, we use field-effect transistors as devices that resemble neuron structure with better fidelity, with a signal that travels over a long distance from an input to an output (source and drain) and which is modulated on its way by the input of another terminal (gate). We incorporate the non-linear integration of arriving input patterns by modifying the surface of the semiconductor channel with polarizable films, and resulting in sigmoidal learning dynamics and forgetting/erasing processes.
©TUD
possible master\diploma thesis
We offer exciting projects in the research topics described above. If you are interested in one of the following topics please do contact us.
Projects
Running
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Funding period: Oct. 1, 2023 to Sept. 30, 2026
Sensor systems for real time ultra-sensitive monitoring of processes and interactions in the oral cavity | OralSens
Funded by DFG
Funding period: Oct. 1, 2023 to Sept. 30, 2026
Sensor systems for real time ultra-sensitive monitoring of processes and interactions in the oral cavity | OralSens
Funded by DFG
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Funding period: June 1, 2022 to May 31, 2026
Olfactorial Perceptronics (follow-up project) | Perceptronics
Funded by Volkswagen Foundation
Funding period: June 1, 2022 to May 31, 2026
Olfactorial Perceptronics (follow-up project) | Perceptronics
Funded by Volkswagen Foundation
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Funding period: Aug. 15, 2021 to Aug. 14, 2025
Olfactorial navigation | 6G-life-OlfNav
Funded by BMBF
Funding period: Aug. 15, 2021 to Aug. 14, 2025
Olfactorial navigation | 6G-life-OlfNav
Funded by BMBF
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Funding period: Aug. 15, 2021 to Aug. 14, 2025
Digital olfaction | 6G-life-DigOlf
Funded by BMBF
Funding period: Aug. 15, 2021 to Aug. 14, 2025
Digital olfaction | 6G-life-DigOlf
Funded by BMBF
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Funding period: Aug. 15, 2021 to Aug. 14, 2025
Tactile and Olfactoria Fusion | 6G-life-OlfFusion
Funded by BMBF
Funding period: Aug. 15, 2021 to Aug. 14, 2025
Tactile and Olfactoria Fusion | 6G-life-OlfFusion
Funded by BMBF
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Funding period: April 1, 2022 to March 31, 2025
Smart electronic olfaction for body odor diagnostics | SMELLODI
Funded by EIC
Funding period: April 1, 2022 to March 31, 2025
Smart electronic olfaction for body odor diagnostics | SMELLODI
Funded by EIC
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Funding period: June 1, 2021 to May 31, 2024
Synthesis of a new class of carbon allotrope and novel applications in sensors and biosensors | CarbyneSense
Funded by ERA NET
Funding period: June 1, 2021 to May 31, 2024
Synthesis of a new class of carbon allotrope and novel applications in sensors and biosensors | CarbyneSense
Funded by ERA NET
Past
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Funding period: Jan. 1, 2021 to March 31, 2023
Adaption and further development of higly sensitive sensor technology for evaluation of biochemical | EKFZ-OralSens
Funded by EKFS
Funding period: Jan. 1, 2021 to March 31, 2023
Adaption and further development of higly sensitive sensor technology for evaluation of biochemical | EKFZ-OralSens
Funded by EKFS
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Funding period: Aug. 1, 2020 to Dec. 31, 2022
Development of an electronic CoViD Sensor | CoVSens
Funded by SAB
Funding period: Aug. 1, 2020 to Dec. 31, 2022
Development of an electronic CoViD Sensor | CoVSens
Funded by SAB
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Funding period: Dec. 1, 2019 to May 31, 2022
Catheter with enhanced functionalities | EKFZ-SmartCat
Funded by EKFS
Funding period: Dec. 1, 2019 to May 31, 2022
Catheter with enhanced functionalities | EKFZ-SmartCat
Funded by EKFS
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Funding period: May 15, 2019 to Dec. 31, 2021
Sniffing dangerous gases with immersive robots | SNIFFBOT
Funded by SAB
Funding period: May 15, 2019 to Dec. 31, 2021
Sniffing dangerous gases with immersive robots | SNIFFBOT
Funded by SAB
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Funding period: Jan. 1, 2019 to Dec. 31, 2021
Textile-based sensors for continuous non-invasive real-time recording of lactate | LCSens
Funded by AiF
Funding period: Jan. 1, 2019 to Dec. 31, 2021
Textile-based sensors for continuous non-invasive real-time recording of lactate | LCSens
Funded by AiF
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Funding period: June 1, 2018 to Nov. 30, 2021
Development of carbon nanotube-based wireless gas sensors and applications in stored product protect | NANOFUM
Funded by BMBF
Funding period: June 1, 2018 to Nov. 30, 2021
Development of carbon nanotube-based wireless gas sensors and applications in stored product protect | NANOFUM
Funded by BMBF
Publications
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Sybodies as Novel Bioreceptors toward Field-Effect Transistor-Based Detection of SARS-CoV-2 Antigens
ACS Applied Materials & Interfaces 15, 40191 (2023).
C. Zhang, A. Parichenko, W. Choi, S. Shin, L. A. Panes-Ruiz, D. Belyaev, T. F. Custódio, C. Löw, J.-S. Lee, B. Ibarlucea, and G. Cuniberti
https://doi.org/10.1021/acsami.3c06073
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Toward Smart Sensing by MXene
Small , 2206126 (2022).
Y. Li, S. Huang, S. Peng, H. Jia, J. Pang, B. Ibarlucea, C. Hou, Y. Cao, W. Zhou, H. Liu, and G. Cuniberti
https://doi.org/10.1002/smll.202206126
Get the PDF from journal website
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Nanosensors in clinical development of CAR-T cell immunotherapy
Biosensors and Bioelectronics 206, 114124 (2022).
T. A. Nguyen-Le, T. Bartsch, R. Wodtke, F. Brandt, C. Arndt, A. Feldmann, D. I. Sandoval Bojorquez, A. P. Roig, B. Ibarlucea, S. Lee, C. K. Baek, G. Cuniberti, R. Bergmann, E. Puentes-Cala, J. A. Soto, B. T. Kurien, M. Bachmann, and L. Baraban
https://doi.org/10.1016/j.bios.2022.114124
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Sniffbots to the Rescue - Fog Services for a Gas-Sniffing Immersive Robot Collective
Lecture Notes in Computer Science 13226 LNCS, 3 (2022).
U. Aßmann, M. Belov, T. T. T. Cong, W. Dargie, J. Wen, L. Urbas, C. Lohse, L. A. A. Panes-Ruiz, L. Riemenschneider, B. Ibarlucea, G. Cuniberti, M. M. Al Chawa, C. Grossmann, S. Ihlenfeld, R. Tetzlaff, S. A. A. Pertuz, and D. Goehringer
https://doi.org/10.1007/978-3-031-04718-3_1
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Applications of nanogenerators for biomedical engineering and healthcare systems
InfoMat 4, 1-57 (2021).
W. Wang, J. Pang, J. Su, F. Li, Q. Li, X. Wang, J. Wang, B. Ibarlucea, X. Liu, Y. Li, W. Zhou, K. Wang, Q. Han, L. Liu, R. Zang, M. H. Rümmeli, Y. Li, H. Liu, H. Hu, and G. Cuniberti
https://doi.org/10.1002/inf2.12262
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Graphene Biodevices for Early Disease Diagnosis Based on Biomarker Detection
ACS Sensors 6, 3841 (2021).
Q. Han, J. Pang, Y. Li, B. Sun, B. Ibarlucea, X. Liu, T. Gemming, Q. Cheng, S. Zhang, H. Liu, J. Wang, W. Zhou, G. Cuniberti, and M. H. Rümmeli
https://doi.org/10.1021/acssensors.1c01172
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Highly sensitive room temperature ammonia gas sensor using pristine graphene: The role of biocompatible stabilizer
Carbon 173, 262 (2021).
S. Huang, L. A. Panes-Ruiz, A. Croy, M. Löffler, V. Khavrus, V. Bezugly, and G. Cuniberti
https://doi.org/10.1016/j.carbon.2020.11.001
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Nanosensor-Based Real-Time Monitoring of Stress Biomarkers in Human Saliva Using a Portable Measurement System
ACS Sensors 5, 4081 (2020).
S. Klinghammer, T. Voitsekhivska, N. Licciardello, K. Kim, C. K. Baek, H. Cho, K. J. Wolter, C. Kirschbaum, L. Baraban, and G. Cuniberti
https://doi.org/10.1021/acssensors.0c02267
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Nanosensors-Assisted Quantitative Analysis of Biochemical Processes in Droplets
Micromachines 11, 138 (2020).
D. Belyaev, J. Schütt, B. Ibarlucea, T. Rim, L. Baraban, and G. Cuniberti
https://doi.org/10.3390/mi11020138
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A zinc selective oxytocin based biosensor
J. Mater. Chem. B 8, 1 (2020).
E. Mervinetsky, I. Alshanski, K. K. Tadi, M. Hurevich, S. Yitzchaik, A. Dianat, J. Buchwald, R. Gutierrez, G. Cuniberti, M. Hurevich, and S. Yitzchaik
https://doi.org/10.1039/c9tb01932d
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Electrochemically Exfoliated High-Quality 2H-MoS2 for Multiflake Thin Film Flexible Biosensors
Small 15, 1901265 (2019).
P. Zhang, S. Yang, R. Pineda-Gómez, B. Ibarlucea, J. Ma, M. R. Lohe, T. F. Akbar, L. Baraban, G. Cuniberti, and X. Feng
https://doi.org/10.1002/smll.201901265
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Metal ion binding and tolerance of bacteria cells in view of sensor applications
Journal of Sensors and Sensor Systems 7, 433 (2018).
J. Jung, A. Blüher, M. Lakatos, and G. Cuniberti
https://doi.org/10.5194/jsss-7-433-2018
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Plasmonic Biosensor Based on Vertical Arrays of Gold Nanoantennas
Asc Sensors 3, 1392 (2018).
S. Klinghammer, T. Uhlig, F. Patrovsky, M. Böhm, J. Schütt, N. Pütz, L. Baraban, L. M. Eng, and G. Cuniberti
https://doi.org/10.1021/acssensors.8b00315
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Gating Hysteresis as an Indicator for Silicon Nanowire FET Biosensors
Appl. Sci. 8, 950 (2018).
B. Ibarlucea, L. Römhildt, F. Zörgiebel, S. Pregl, M. Vahdatzadeh, W. M. Weber, T. Mikolajick, J. Opitz, L. Baraban, and G. Cuniberti
https://doi.org/10.3390/app8060950
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Nanowire sensors monitor bacterial growth kinetics and response to antibiotics
ACS Nano 17, 4283 (2017).
B. Ibarlucea, T. Rim, C. K. Baek, J. A. De Visser, L. Baraban, and G. Cuniberti
https://doi.org/10.1039/c7lc00807d
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Gap engineering for improved control of memristor nanosensors
European Conference on Circuit Theory and Design (IEEE ECCTD) , 0 (2017).
B. Ibarlucea, L. Baraban, G. Cuniberti, K. Kim, T. Rim, C. K. Baek, A. Ascoli, and R. Tetzlaff
https://doi.org/10.1109/ECCTD.2017.8093293
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Copper Induced Conformational Changes of Tripeptide Monolayer Based Impedimetric Biosensor
Nature Scientific Reports 7, 211 (2017).
E. Mervinetsky, I. Alshanski, Y. Hamo, L. M. Sandonas, A. Dianat, J. Buchwald, R. Gutierrez, G. Cuniberti, M. Hurevich, and S. Yitzchaik
https://doi.org/10.1038/s41598-017-10288-z
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Chemiresistive biosensors based on carbon nanotubes for label-free detection of DNA sequences derived from avian influenza virus H5N1
Sensors and Actuators B: Chemical 249, 691 (2017).
Y. Fu, V. Romay, Y. Liu, B. Ibarlucea, L. Baraban, V. Khavrus, S. Oswald, A. Bachmatiuk, I. Ibrahim, M. Rümmeli, T. Gemming, V. Bezugly, and G. Cuniberti
https://doi.org/10.1016/j.snb.2017.04.080
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Compact nanowire sensors probe microdroplets
Nano Letters 16, 4991 (2016).
J. Schütt, B. Ibarlucea, R. Illing, F. Zörgiebel, S. Pregl, D. Nozaki, W. M. Weber, T. Mikolajick, L. Baraban, and G. Cuniberti
https://doi.org/10.1021/acs.nanolett.6b01707
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High-Performance Three-Dimensional Tubular Nanomembrane Sensor for DNA Detection
Nano Letters 16, 4288 (2016).
M. Medina-Sánchez, B. Ibarlucea, N. Pérez, D. D. Karnaushenko, S. M. Weiz, L. Baraban, G. Cuniberti, and O. G. Schmidt
https://doi.org/10.1021/acs.nanolett.6b01337
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Schottky barrier-based silicon nanowire pH sensor with live sensitivity control
Nano Research 7, 263 (2014).
F. M. Zörgiebel, S. Pregl, L. Römhildt, J. Opitz, W. Weber, T. Mikolajick, L. Baraban, and G. Cuniberti
https://doi.org/10.1007/s12274-013-0393-8
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Nucleobase adsorbed at graphene devices: Enhance bio-sensorics
Applied Physics Letters 100, 063101 (2012).
B. Song, G. Cuniberti, S. Sanvito, and H. Fang
https://doi.org/10.1063/1.3681579
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Multiscale Modeling of nanowire-based Schottky-barrier field-effect transistors for sensor applications
Nanotechnology 22, 325703 (2011).
D. Nozaki, J. Kunstmann, F. Zörgiebel, W. M. Weber, T. Mikolajick, and G. Cuniberti
https://doi.org/10.1088/0957-4484/22/32/325703