People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Ibarlucea, Bergoi
Tecnalia
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2023Surface-Functionalized Multichannel Nanosensors and Machine Learning Analysis for Improved Sensitivity and Selectivity in Gas Sensing Applicationscitations
- 2023Monitoring Toxic Gases Using Nanotechnology and Wireless Sensor Networkscitations
- 2023Carbon nanotube neurotransistors with ambipolar memory and learning functionscitations
- 2023Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessmentcitations
- 2023Portable microfluidic impedance biosensor for SARS-CoV-2 detectioncitations
- 2023Hydrogel-Coated Nanonet-Based Field-Effect Transistors for SARS-CoV-2 Spike Protein Detection in High Ionic Strength Samples
- 2022Electrokinetic Janus micromotors moving on topographically flat chemical patternscitations
- 2022Real-Time Monitoring of Blood Parameters in the Intensive Care Unit: State-of-the-Art and Perspectivescitations
- 2021CuO-Doped Alginate for Simple Electrochemical Vitamin C Sensing in Sweatcitations
- 2021Hemocompatible Electrochemical Sensors for Continuous Monitoring of Blood Parameterscitations
- 2021Highly Sensitive Silicon Nanowire Biosensor Devices for the Investigation of UniCAR Platform in Immunotherapy
- 2020Two-Dimensional Boronate Ester Covalent Organic Framework Thin Films with Large Single Crystalline Domains for a Neuromorphic Memory Devicecitations
- 2020Nanosensors-Assisted Quantitative Analysis of Biochemical Processes in Dropletscitations
- 2019Hybrid Silicon Nanowire Devices and Their Functional Diversitycitations
- 2019Electrochemically Exfoliated High-Quality 2H-MoS<sub>2</sub> for Multiflake Thin Film Flexible Biosensorscitations
- 2019Single-Step Modified Electrodes for Vitamin C Monitoring in Sweatcitations
- 2018Ultrasensitive detection of Ebola matrix protein in a memristor modecitations
- 2018Gating Hysteresis as an Indicator for Silicon Nanowire FET Biosensorscitations
- 2017Gap engineering for improved control of memristor nanosensorscitations
- 2017Chemiresistive biosensors based on carbon nanotubes for label-free detection of DNA sequences derived from avian influenza virus H5N1citations
- 2017Human alpha-thrombin detection platform using aptamers on a silicon nanowire field-effect transistor
- 2016Compact Nanowire Sensors Probe Microdropletscitations
- 2016High-Performance Three-Dimensional Tubular Nanomembrane Sensor for DNA Detectioncitations
- 2015Flexible Electronics: Light Weight and Flexible High-Performance Diagnostic Platform (Adv. Healthcare Mater. 10/2015)citations
Places of action
Organizations | Location | People |
---|
article
Portable microfluidic impedance biosensor for SARS-CoV-2 detection
Abstract
<p>Pandemics as the one we are currently facing, where fast-spreading viruses present a threat to humanity, call for simple and reliable methods to perform early diagnosis, enabling detection of very low pathogen loads even before symptoms start showing in the host. So far, standard polymerase chain reaction (PCR) is the most reliable method for doing so, but it is rather slow and needs specialized reagents and trained personnel to operate it. Additionally, it is expensive and not easily accessible. Therefore, developing miniaturized and portable sensors which perform early detection of pathogens with high reliability is necessary to not only prevent the spreading of the disease but also to monitor the effectiveness of the developed vaccines and the appearance of new pathogenic variants. Thus, in this work we develop a sensitive microfluidic impedance biosensor for the direct detection of SARS-CoV-2, towards a mobile point-of-care (POC) platform. The operational parameters are optimized with the aid of design-of-experiment (DoE), for an accurate detection of the viral antigens using electrochemical impedance spectroscopy (EIS). We perform the biodetection of buffer samples spiked with fM concentration levels and validate the biosensor in a clinical context of relevance by analyzing 15 real patient samples up to a Ct value (cycle threshold) of 27. Finally, we demonstrate the versatility of the developed platform using different settings, including a small portable potentiostat, using multiple channels for self-validation, as well as with single biosensors for a smartphone-based readout. This work contributes to the rapid and reliable diagnostics of COVID-19 and can be extended to other infectious diseases, allowing the monitoring of viral load in vaccinated and unvaccinated people to anticipate a potential relapse of the disease.</p>