Evidence map›Paper›PMID 40217073›Full record

ArticleScientific reports2025

Rank annihilation factor analysis for kinetic spectrophotometric determination of morphine in unknown samples.

Morteza Bahram, Somayeh Khezri, Reza Dadashi

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Morteza BahramDepartment of Analytical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran. m.bahram@urmia.ac.ir.
Somayeh KhezriDepartment of Analytical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran.
Reza DadashiDepartment of Analytical Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate and selective determination of morphine in biological and pharmaceutical samples remains a critical challenge due to matrix interferences and the need for highly sensitive detection methods. While traditional techniques such as GC-MS, HPLC-UV, and LC-MS/MS offer high sensitivity and selectivity, they often require complex sample preparation, expensive instrumentation, and extensive calibration procedures. In this study, we employ rank annihilation factor analysis (RAFA) in combination with kinetic spectrophotometry to enhance the accuracy and robustness of morphine quantification. RAFA effectively eliminates matrix interferences and resolves overlapping spectral data, thereby improving both sensitivity and selectivity compared to conventional spectrophotometric and chromatographic methods. The Marquis reagent, as a simple, known reagent, was used to acquire kinetic-spectrophotometric data for rank annihilation factor analysis of morphine in several unknown samples. Marquis reagent is composed of a mixture of formaldehyde and concentrated sulfuric acid. Usually, different compounds produce different color reactions when using this reagent. The proposed method was first investigated using simulated data before a couple of tested opiate samples were analyzed by the proposed method to further investigate its performance. The proposed method was also successfully applied to determine morphine in a human urine sample.

Indexed as

MorphineChromatography, High Pressure LiquidFactor Analysis, StatisticalHumansKineticsSpectrophotometryTandem Mass SpectrometryMorphineKinetic-spectrophotometricMarquis reagentMorphineRAFA

Identifiers

PMID40217073
PMCPMC11992150

What Socratic holds

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LicenceCC BY-NC-ND
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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.