Nano‐Biosensors for Continuous Cognitive and Stress Monitoring: Applications in Learning and Mental Well‐Being
ABSTRACT Nano‐biosensors (NBs) are developing as transformative equipment for real‐time cognitive monitoring, with far‐reaching implications for personalized education and mental health interventions. These sensors have exclusive sensitivity to physiological indicators, including cortisol, dopamine, serotonin, lactate, and heart rate variability, because they combine proficient nanomaterials (NMs) with bioelectrical signal detection. In educational settings, NBs enable dynamic evaluations of student engagement, cognitive load, and mental states, fostering adaptable learning environments that respond to individual needs. Similarly, in mental health, they aid in the early diagnosis of stress, anxiety, and mood disorders, allowing for prompt treatments. This novel technology promotes self‐awareness and resilience by empowering users with real‐time feedback to adopt positive coping strategies. The integration of NBs into wearables and IoT ecosystems holds the potential to revolutionize how society understands and addresses the interplay between cognition and well‐being, driving transformative advancements in education, therapy, and beyond. This review focuses on their significance in developing individualized solutions that bridge the gap between cognition, learning, and mental health.
Authors
- Eliasu Issaka (ORCID: https://orcid.org/0000-0002-2516-8761)
- Jesse Nii Okai Amu‐Darko (ORCID: https://orcid.org/0000-0002-1083-3597)
- Priscilla Adomako Gyasi (ORCID: https://orcid.org/0000-0002-6550-8759)
- Seth Yeboah Ntim (ORCID: https://orcid.org/0000-0002-7553-6905)
- Shahid Hussain (ORCID: https://orcid.org/0000-0003-4826-3339)
- Michael Enyan (ORCID: https://orcid.org/0000-0002-5382-1377)
- Binghai Sun (ORCID: https://orcid.org/0000-0001-5044-9357)
Institutions
- Jiangsu University (CN)
- Birmingham City University (GB)
- Zhejiang Sci-Tech University (CN)
- Zhejiang Normal University (CN)
Publication Details
- Journal
- Nano Select
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1002/nano.70024
- Citations
- 2
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Birmingham City University
- Zhejiang Normal University