Quantum Sensing Technologies for Ultrasensitive Biomarker Detection in Biomedical Diagnostics from Fundamental Principles to Clinical Translation

Quantum sensing technologies offer unprecedented detection sensitivities down to single-molecule, attomolar detection limits and thus are emerging as transformative tools for ultra-sensitive biomarker detection in biomedical diagnostics. This comprehensive review synthesizes insights from over 380 plus studies to provide recent advances in quantum sensor platforms, examining the fundamental quantum mechanical principles that enable enhanced sensitivity, and surveys a diverse range of quantum sensing technologies along with their applications across the biomedical field. Specifically, nitrogen-vacancy (NV) centers in diamond, quantum dots, superconducting quantum interference devices (SQUIDs), and other quantum sensing modalities applied to biomarker detection for cancer diagnostics, cardiovascular disease, neurological disorders, and infectious disease detection are reviewed. Further, the key technical challenges that hurdle their clinical translation are critically evaluated. The review results demonstrate that quantum-enhanced biosensors have achieved detection limits of the order of magnitude below conventional methods. Intrinsic to their capabilities, several quantum sensing platforms have progressed to clinical testing and early commercialization efforts. Specifically, for point-of-care diagnosis, early disease detection, and personalized medicine.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2026-10-28
DOI
https://doi.org/10.1021/acssensors.6c04017
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum Sensing Technologies for Ultrasensitive Biomarker Detection in Biomedical Diagnostics from Fundamental Principles to Clinical Translation

Umapathi Krishnamoorthy
5 links
ACS Sensors
Diamond and Carbon-based Materials Research
article

Quantum Sensing Technologies for Ultrasensitive Biomarker Detection in Biomedical Diagnostics from Fundamental Principles to Clinical Translation

Umapathi Krishnamoorthy
article en

Abstract

Quantum sensing technologies offer unprecedented detection sensitivities down to single-molecule, attomolar detection limits and thus are emerging as transformative tools for ultra-sensitive biomarker detection in biomedical diagnostics. This comprehensive review synthesizes insights from over 380 plus studies to provide recent advances in quantum sensor platforms, examining the fundamental quantum mechanical principles that enable enhanced sensitivity, and surveys a diverse range of quantum sensing technologies along with their applications across the biomedical field. Specifically, nitrogen-vacancy (NV) centers in diamond, quantum dots, superconducting quantum interference devices (SQUIDs), and other quantum sensing modalities applied to biomarker detection for cancer diagnostics, cardiovascular disease, neurological disorders, and infectious disease detection are reviewed. Further, the key technical challenges that hurdle their clinical translation are critically evaluated. The review results demonstrate that quantum-enhanced biosensors have achieved detection limits of the order of magnitude below conventional methods. Intrinsic to their capabilities, several quantum sensing platforms have progressed to clinical testing and early commercialization efforts. Specifically, for point-of-care diagnosis, early disease detection, and personalized medicine.

ACS Sensors
Karlsruhe Institute of Technology (DE)
Good health and well-being
Openalex Percentile: Top 29%
Diamond and Carbon-based Materials Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Quantum Sensing Technologies for Ultrasensitive Biomarker Detection in Biomedical Diagnostics from Fundamental Principles to Clinical Translation — Umapathi Krishnamoorthy · ACS Sensors (2026) | TGRS Research Map | TGRS