Evidence map›Paper›PMID 40126639›Full record

ArticleMikrochimica acta2025

Poly-taurine/poly-L-glutamic acid double-layer coating as potential candidates for surface modification of carbon felt electrode for discrimination and simultaneous detection of morphine and tramadol.

Seyed Ali Akbar Sajadi, Zeynab Khorablou

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Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

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

2 authors.

Seyed Ali Akbar SajadiSharif Energy, Water and Environment Institute (SEWEI), Sharif University of Technology, P.O. Box 11155-8639, Tehran, Iran. sajadi@sharif.edu.
Zeynab KhorablouSharif Energy, Water and Environment Institute (SEWEI), Sharif University of Technology, P.O. Box 11155-8639, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ultrasensitive and reliable electrochemical scaffold was designed for the individual and simultaneous measurement of morphine (Mor) and tramadol (Trm) addictive and illegal drugs, utilizing a cost-effective and flexible carbon felt electrode modified with double-layer poly-taurine/poly-L-glutamic acid (P(Tau)/P(Glu)/CF). It is worth noting that drugs have now become a part of daily life in all societies, and the consumption of tranquilizers and opiates such as Mor and Trm has also increased. Given the frequent co-use of Mor and Trm, accurate and reliable methods for their simultaneous measurement are crucial. Simultaneous diagnostics make the determination more efficient and cost-effective by reducing the need for multiple sensors. Surface modification of CFE was carried out by a green approach, facile and straightforward route by layer-by-layer electropolymerization, forming a thin polymeric film with abundant functional groups responsible for anchoring narcotic drugs. The P(Tau)/P(Glu)/CFE composite showed an exceptionally high rate of active site exposure and proper electrochemical activity, attributed to the synergistic effects of the constituent materials. P(Tau)/P(Glu)/CFE was successfully used to detect saliva, urine, plasma, and body sweat samples with satisfactory recoveries.

Indexed as

CarbonElectrochemical TechniquesMorphinePolyglutamic AcidTramadolAnalgesics, OpioidElectrodesHumansLimit of DetectionSurface PropertiesAnalgesics, OpioidCarbonMorphinePolyglutamic AcidTramadolCarbon feltDifferential pulse voltammetryElectrochemical detectionGlutamic acidMorphineTaurineTramadol

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.