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Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
Published on: April 14, 2016
Biosensing technologies for cannabinoid monitoring in pain management: Current methods, clinical needs, and
Shakti Banik1, Jessica Fales2, Jong-Hoon Kim3
1School of Engineering and Computer Science, Washington State University Vancouver, 14204 NE Salmon Creek Ave, Vancouver, WA 98686, USA.
Abstract:
Cannabinoids such as Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD) are increasingly explored for chronic and neuropathic pain management. Still, their clinical use remains limited by variable formulations, uncertain therapeutic ranges, and insufficient concentration-response evidence. Although many cannabinoid detection platforms have been reported, few reviews connect biosensor performance with the clinical requirements of pain management monitoring and therapeutic drug monitoring (TDM). This review summarizes current cannabinoid detection strategies, including conventional analytical methods (such as chromatography, mass spectrometry, and spectroscopy), as well as biosensing platforms such as electrochemical sensors, colorimetric sensors, optical and fluorescence-based platforms, immunoassays, novel material-based sensors, and receptor- or cell-based biological methods. We compare these platforms in terms of target analytes, biological matrices, analytical performance, validation status, and clinical feasibility. Current evidence suggests that portable electrochemical sensors and compact optical/immunoassay platforms are the most promising near-term candidates for point-of-care translation. However, most reported biosensors remain preliminary and require validation in authentic patient samples, comparison with reference methods, improved reproducibility and stability, and stronger links between cannabinoid concentrations, therapeutic response, and adverse effects before routine clinical TDM use.
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