Evidence map›Paper›PMID 35292105›Full record

ReviewJournal of cannabis research2022

Recent advances in electrochemical sensor technologies for THC detection-a narrative review.

Kaveh Amini, Ali Sepehrifard, Ali Valinasabpouri, Jennifer Safruk, Davide Angelone, Tiago de Campos Lourenco

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Journal of cannabis research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  4. Review
  5. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Kaveh AminiSelective Lab Inc., Richmond Hill, ON, Canada. kamini@selectivelab.com.
Ali SepehrifardSelective Lab Inc., Richmond Hill, ON, Canada.
Ali ValinasabpouriSelective Lab Inc., Richmond Hill, ON, Canada.
Jennifer SafrukSelective Lab Inc., Richmond Hill, ON, Canada.
Davide AngeloneSelective Lab Inc., Richmond Hill, ON, Canada.
Tiago de Campos LourencoSelective Lab Inc., Richmond Hill, ON, Canada.
Selective Genetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundΔ

methodIn this work, we review the recent advances in sensor technologies developed for the purpose of fast and accurate THC detection. The research works performed mostly in the past decade and those detecting THC directly without any derivatization were the main target of this review. The scope of this narrative review was the reports on detecting THC in synthetic samples and plants as well as oral fluid.

resultsElectrochemical sensor technologies are sensitive enough and have the potential for fast, easy, and low-cost detection of THC for roadside testing, THC trending in growing cannabis plants, THC product development and formulation for medical purposes, etc., and they can provide an alternative for costly chromatography and mass spectrometry-based methods.

conclusionThe main challenges facing these sensors, however, are nonspecific interaction and the interference of compounds and species from the matrix. Special requirement for storing sensors modified with antibodies or proteins is another challenge in this field. Preparing long-lasting and reusable sensors is a field worthy of attention.

Indexed as

CannabisElectrochemical detectionSensorTHCΔ9-tetrahydrocannabinol

Identifiers

PMID35292105
PMCPMC8925211
OpenAlexW4220773500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.