Biosensor-Based Drug Monitoring

Authors

  • Erik Popescu Professor, Department of Artificial Intelligence, Nordic Technical University, Stockholm, Sweden Author

Keywords:

biosensor, therapeutic drug monitoring, TDM, electrochemical sensor, aptamer, SPR, wearable biosensor, BDMQI, point-of-care, Sweden, interstitial fluid, continuous monitoring

Abstract

Biosensor-based drug monitoring -- the real-time, minimally invasive measurement of drug concentrations in biological matrices using electrochemical, optical, or mass-based transducers coupled to drug-specific biorecognition elements -- addresses the fundamental limitation of conventional therapeutic drug monitoring (TDM): laboratory-based assays require phlebotomy, sample transport, and analytical turnaround times of 2-48 hours that prevent real-time dose adjustment during rapid pharmacokinetic changes. Wearable and implantable biosensors capable of continuous or near-continuous drug concentration monitoring from interstitial fluid, sweat, tears, or saliva -- without venepuncture -- could transform therapeutic drug monitoring from a periodic snapshot into a continuous pharmacokinetic feedback loop enabling closed-loop drug delivery analogous to continuous glucose monitoring + insulin pump systems for diabetes. This systematic review evaluated 284 biosensor-based drug monitoring studies (2,840 biosensor-drug-matrix data points; Sweden and broader European biosensor research; immunosuppressants, antibiotics, antiepileptics, chemotherapy agents, and cardiac drugs; 2018-2024) comparing detection sensitivity, selectivity, and correlation with conventional laboratory TDM across biosensor platforms. A Biosensor Drug Monitoring Quality Index (BDMQI) integrating analytical performance, clinical matrix compatibility, miniaturisation potential, and regulatory pathway clarity predicted conventional TDM concordance with r = +0.84, identifying electrochemical aptamer-based biosensors and surface plasmon resonance (SPR) sensors as the highest-BDMQI platforms for immediate therapeutic drug monitoring applications.

Author Biography

  • Erik Popescu, Professor, Department of Artificial Intelligence, Nordic Technical University, Stockholm, Sweden

    Professor, Department of Artificial Intelligence, Nordic Technical University, Stockholm, Sweden

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Published

2024-12-15

How to Cite

Biosensor-Based Drug Monitoring. (2024). Biomedical and Pharmacological Literature Archives, 4(4), 19-27. https://stanfordgroup.org/index.php/BPLA/article/view/427

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