Sensors for Infectious Disease Diagnosis

You are welcome to submit articles on the abovementioned themes. Sensors & Diagnostics publishes high-quality innovative research in the field of sensors as well as diagnostics, molecular imaging and molecular therapeutics. For more information on the journal scope, standards, article types and author guidelines, please visit Sensors & Diagnostics.

Submission Deadline: 30 November 2025

If you would like to contribute to this themed issue, you can submit your article directly at rsc.li/sensors and inform the editorial office by emailing our team. Please mention that this submission is a contribution to ‘Sensors for Infectious Disease Diagnosis”, in the ‘Themed issues’ section of the submission form and add a ‘Note to the Editor’ that this is from the Open Call. The Editorial Office reserves the right to check suitability of submissions in relation to the scope of the collection and inclusion of accepted articles in the collection is not guaranteed.

Please note that all submissions are subject to the journal’s normal peer review processes, with an initial assessment to confirm the manuscript's suitability for full peer review. If you have any questions about the journal or the collection, please email us.  We would be happy to answer them.

One of the lessons learned during the pandemic is that non-experts can effectively operate simple diagnostic devices, blurring the boundaries of traditional healthcare. The last decade has witnessed an explosion in the development of point-of-care devices, which are now an invaluable part of the diagnostic toolbox. Aiming to capture and consolidate as many areas of sensor and biosensor development as possible, in a single place, this themed issue will compile contributions focusing on some of the most common health conditions, ranging from infectious diseases to cancer. While lab-based sensing and traditional analytical approaches are extensive and extremely useful, the submissions in this themed issue will highlight innovative technologies that can be used to detect analytes of interest using a myriad of transduction methods. Specifically, the phenomena that will be exploited for detection include, but are not limited to:

1. Optical
2. Electrochemical
3. Magnetic
4. Piezoelectric
5. Photonic
6. Mass spectrometric

The papers in this themed collection will highlight how methodologies can be engineered to aid in the diagnostic and treatment workflow, in such a way that these assays can be easily performed by those that have limited to no scientific training, and at the point of need.