| Autor: |
Demuru S; School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Neuchâtel 2000, Switzerland., Kim J; School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Neuchâtel 2000, Switzerland., El Chazli M; School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Neuchâtel 2000, Switzerland., Bruce S; Clinical Chemistry Laboratory, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland., Dupertuis M; Clinical Chemistry Laboratory, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland., Binz PA; Clinical Chemistry Laboratory, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland., Saubade M; Sports Medicine Unit, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland., Lafaye C; Sports Medicine Unit, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland., Briand D; School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Neuchâtel 2000, Switzerland. |
| Abstrakt: |
The dysregulation of the hormone cortisol is related to several pathological states, and its monitoring could help prevent severe stress, fatigue, and mental diseases. While wearable antibody-based biosensors could allow real-time and simple monitoring of antigens, an accurate and low-cost antibody-based cortisol detection through electrochemical methods is considerably challenging due to its low concentration and the high ionic strength of real biofluids. Here, a label-free and fast sensor for cortisol detection is proposed based on antibody-coated organic electrochemical transistors. The developed devices show unprecedented high sensitivities of 50 μA/dec for cortisol sensing in high-ionic-strength solutions with effective cortisol detection demonstrated with real human sweat. The sensing mechanism is analyzed through impedance spectroscopy and confirmed with electrical models. Compared to existing methods requiring bulky and expensive laboratory equipment, these wearable devices enable point-of-care cortisol detection in 5 min with direct sweat collection for personalized well-being monitoring. |
