Evidence map›Paper›PMID 31481686›Full record

ArticleScientific reports2019

A Rapid Response Electrochemical Biosensor for Detecting Thc In Saliva.

Hunter Stevenson, Amanda Bacon, Kathleen Mary Joseph, Wilma Ruth Wanjiku Gwandaru, Ashlesha Bhide, Devangsingh Sankhala, Vikram Narayanan Dhamu, Shalini Prasad

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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  11. Interpol review of toxicology 2019-2022.Forensic science international. Synergy · 2023
    Review
  12. Article
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  15. Article
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  17. Article
  18. Article
  19. Minimally Invasive Platforms in Biosensing.Frontiers in bioengineering and biotechnology · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hunter StevensonDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Amanda BaconDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Kathleen Mary JosephDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Wilma Ruth Wanjiku GwandaruDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Ashlesha BhideDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Devangsingh SankhalaDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Vikram Narayanan DhamuDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA.
Shalini PrasadDepartment of Biomedical Engineering, University of Texas at Dallas, 800W Campbell Rd., Richardson, TX, 75080, USA. Shalini.Prasad@utdallas.edu.ORCID http://orcid.org/0000-0002-2404-3801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marijuana is listed as a Schedule I substance under the American Controlled Substances Act of 1970. As more U.S. states and countries beyond the U.S. seek legalization, demands grow for identifying individuals driving under the influence (DUI) of marijuana. Currently no roadside DUI test exists for determining marijuana impairment, thus the merit lies in detecting the primary and the most sought psychoactive compound tetrahydrocannabinol (THC) in marijuana. Salivary THC levels are correlated to blood THC levels making it a non-invasive medium for rapid THC testing. Affinity biosensing is leveraged for THC biomarker detection through the chemical reaction between target THC and THC specific antibody to a measure signal output related to the concentration of the targeted biomarker. Here, we propose a novel, rapid, electrochemical biosensor for the detection of THC in saliva as a marijuana roadside DUI test with a lower detection limit of 100 pg/ml and a dynamic range of 100 pg/ml - 100 ng/ml in human saliva. The developed biosensor is the first of its kind to utilize affinity-based detection through impedimetric measurements with a rapid detection time of less than a minute. Fourier transform infrared spectroscopy analysis confirmed the successful immobilization of the THC immobilization assay on the biosensing platform. Zeta potential studies provided information regarding the stability and the electrochemical behavior of THC immunoassay in varying salivary pH buffers. We have demonstrated stable, dose dependent biosensing in varying salivary pH's. A binary classification system demonstrating a high general performance (AUC = 0.95) was employed to predict the presence of THC in human saliva. The biosensor on integration with low-power electronics and a portable saliva swab serves as a roadside DUI hand-held platform for rapid identification of THC in saliva samples obtained from human subjects.

Indexed as

Biosensing TechniquesElectrochemical TechniquesMarijuana AbuseSubstance Abuse DetectionAntibodiesDronabinolHumansImmunoassaySalivaAntibodiesDronabinol

Identifiers

PMID31481686
PMCPMC6722119

What OpenQuestion holds

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Registered trials

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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.