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Published on: April 23, 2019
Detection of methamphetamine in sweat by EIA and GC-MS
J Fay1, R Fogerson, D Schoendorfer
1STC Diagnostics, Bethlehem, Pennsylvania, USA.
This study developed a sensitive enzyme immunoassay for detecting methamphetamine in sweat using the PharmChek patch. The assay demonstrated high diagnostic sensitivity and specificity, proving effective for drug monitoring.
Area of Science:
- Forensic Toxicology
- Analytical Chemistry
- Biochemistry
Background:
- Sweat analysis offers a non-invasive method for drug monitoring.
- The PharmChekTM sweat patch is a viable tool for collecting sweat samples.
- Accurate detection of methamphetamine in sweat is crucial for clinical and forensic applications.
Purpose of the Study:
- To develop and validate a modified enzyme immunoassay (EIA) for quantifying methamphetamine in sweat collected via the PharmChekTM patch.
- To assess the assay's cross-reactivity, sensitivity, specificity, and precision.
- To establish an optimal cutoff concentration for reliable methamphetamine detection.
Main Methods:
- Sweat samples were collected using the PharmChekTM patch.
- A solid-phase, enzyme immunoassay was adapted for methamphetamine analysis.
- Gas chromatography-mass spectrometry (GC-MS) was used as the reference standard for validation.
- Receiver operating characteristic (ROC) analysis determined the optimal cutoff concentration.
Main Results:
- The EIA showed high specificity, with notable cross-reactivity to MDMA (144%) and d-amphetamine (30%).
- An optimal cutoff of 10 ng/mL amphetamine equivalents yielded 84.5% sensitivity and 93.2% specificity versus GC-MS.
- The overall analysis system achieved 85% clinical sensitivity and 100% specificity in volunteer studies.
- Two adulterants (tile cleaner, cough syrup) produced false positives, highlighting the need for confirmation.
Conclusions:
- The modified EIA using the PharmChekTM patch is a sensitive and specific method for detecting methamphetamine in sweat.
- The assay provides reliable results with good precision and accuracy, suitable for drug monitoring.
- Confirmation with GC-MS is recommended to rule out potential false positives from specific adulterants.
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