Evidence map›Paper›PMID 36644341›Full record

ArticleIEEE sensors journal2022

Highly Sensitive Fentanyl Detection Based on Nanoporous Electrochemical Immunosensors.

N Tokranova, N Cady, A Lampher, I A Levitsky

Open access · greenAbstract read
In one paragraph

Article in IEEE sensors journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

N TokranovaSUNY Polytechnic Institute, Albany NY 12203.
N CadySUNY Polytechnic Institute, Albany NY 12203.
A LampherEmitech, Inc. Fall River, MA 02720.
I A LevitskyEmitech, Inc. Fall River, MA 02720.
Emitech (United States) · USSUNY Polytechnic Institute · US

Funding

"Wearable sensor for opioids detection based on electrochemical sensor array integrated with Bluetooth device "R43DA051289 · NIDA · EMITECH, INC. · PI LEVITSKY, IGOR A · 2020 to 2020
$329k
NIDA NIH HHS R43 DA051289
6 · The paper itself

Abstract

Rapid and accurate detection of fentanyl (highly potent opioid) is a critical importance due to current opioids crisis worldwide. We report the highly sensitive detection of fentanyl utilizing the synergetic effect of nanoporous silicon as a substrate with a high interfacial area and specific antibody functionalization of nanoporous silicon. The electrochemical sensor consists of gold working and counter electrodes deposited on nanoprous silicon, antibodies immobilized between these electrodes and an Ag/AgCl reference electrode. Square wave voltammetry was used as an electrochemical transduction method. The detection limit was determined as 6 ng/ml and 11.5 ng/ml for specific peak (fentanyl signature) in phosphate buffer and human sweat, respectively. A future goal of this study is to a wearable sweat sensor array for rapid and on-site detection of multiple opioids with analytical sensitivity comparable with laboratory tests.

Indexed as

electrochemical sensorsfentanylmeso and macroporous siliconsweat

Identifiers

PMID36644341
PMCPMC9835619
OpenAlexW4293370871

What OpenQuestion holds

Textmetadata
LicenceTDM
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.