4.7 Article

Paper-based lateral flow assay using rhodamine B-loaded polymersomes for the colorimetric determination of synthetic cannabinoids in saliva

Journal

MICROCHIMICA ACTA
Volume 188, Issue 11, Pages -

Publisher

SPRINGER WIEN
DOI: 10.1007/s00604-021-05062-y

Keywords

Polymersome; Colorimetric detection; Lateral flow assay; Substance of abuse; Cannabinoids

Funding

  1. Republic of Turkey, Ministry of Development [2016K121190]

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Synthetic cannabinoids, widely abused in modern society, have prompted the need for portable, efficient, and reliable on-site detection tools. This study introduces a colorimetric lateral flow assay combined with dye-loaded polymersome for efficient detection of the synthetic cannabinoid JWH-073, showing high sensitivity and selectivity. The method demonstrates promising applications in non-invasive substance abuse detection.
Synthetic cannabinoids are one of the many substances of abuse widely spreading in modern society. Medical practitioners and law enforcement alike highly seek portable, efficient, and reliable tools for on-site detection and diagnostics. Here, we propose a colorimetric lateral flow assay (LFA) combined with dye-loaded polymersome to detect the synthetic cannabinoid JWH-073 efficiently. Rhodamine B-loaded polymersome was conjugated to antibodies and fully characterized. Two LFA were proposed (sandwich and competitive), showing a high level of sensitivity with a limit of detection (LOD) reaching 0.53 and 0.31 ng/mL, respectively. The competitive assay was further analyzed by fluorescence, where the LOD reached 0.16 ng/mL. The application of the LFA over spiked synthetic saliva or real human saliva demonstrated an overall response of 94% for the sandwich assay and 97% for the competitive LFA. The selectivity of the system was assessed in the presence of various interferents. The analytical performance of the LFA system showed a coefficient of variation below 6%. The current LFA system appears as a plausible system for non-invasive detection of substance abuse and shows promise for synthetic cannabinoid on-site sensing.

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