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Related Experiment Video

Updated: Sep 6, 2025

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs

Published on: November 8, 2024

Fentanyl Assay Derived from Intermolecular Interaction-Enabled Small Molecule Recognition (iMSR) with Differential

Zhe Wang¹, Amit Nautiyal², Christopher Alexopoulos¹

¹Chemistry Department, Oakland University, Rochester, Michigan 48309, United States.

Analytical Chemistry

|June 23, 2022

Summary

This study presents a novel assay for rapid fentanyl detection in bodily fluids using intermolecular interaction-enabled small molecule recognition (iMSR) and conjugated polymer impedance analysis. The developed sensor offers accurate, point-of-care fentanyl quantification, improving patient treatment.

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Area of Science:

Biomarker detection
Analytical chemistry
Materials science

Background:

Accurate quantification of small molecule drugs like fentanyl in bodily fluids is crucial for patient diagnosis and personalized medication.
Current laboratory-based toxicology methods are inefficient and costly for timely patient care.
Developing rapid, point-of-care diagnostic tools for drug monitoring remains a significant challenge.

Purpose of the Study:

To develop a novel assay for rapid and effective differentiation and quantification of fentanyl in bodily fluids.
To combine intermolecular interaction-enabled small molecule recognition (iMSR) with differential impedance analysis for fentanyl sensing.
To enable point-of-care detection of fentanyl for improved patient management.

Main Methods:

Utilized intermolecular interaction-enabled small molecule recognition (iMSR) integrated with differential impedance analysis of conjugated polymers.
Designed an anchor interface to transduce differential interactions through the electrical status of a flexible conducting polymer.
Validated the assay using patient blood samples and compared results with Liquid Chromatography-Mass Spectrometry (LC-MS).

Main Results:

The assay demonstrated excellent fentanyl selectivity against common interfering substances.
Sensing capabilities were confirmed in various body fluids using testing strips and skin patches.
Direct blood sample analysis showed a low average deviation (1%-5%) compared to LC-MS in the 20-90 nM fentanyl range.

Conclusions:

The developed assay provides a promising approach for point-of-care fentanyl detection.
The sensor's flexibility and compatibility facilitate applications beyond traditional biomarker detection.
This technology offers a more efficient and cost-effective alternative to current laboratory-based drug monitoring methods.