Evidence map›Paper›PMID 40289164›Full record

ArticleScientific reports2025

Spectrophotometric and smartphone-based colorimetric methods utilizing polyvinylpyrrolidone-capped silver nanoparticles for determining doxorubicin in human plasma samples.

Elmira Behboudi, Saeedeh Khadivi-Derakhshan, Mahtab Pirouzmand, Abolghasem Jouyban, Jafar Soleymani

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Elmira BehboudiPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Saeedeh Khadivi-DerakhshanPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahtab PirouzmandDepartment of Inorganic Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Abolghasem JouybanPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Jafar SoleymaniPharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. jsoleymanii@gmail.com.

Funding

Tabriz University of Medical Sciences 66013
6 · The paper itself

Abstract

Doxorubicin (DOX) or adriamycin is a common anticancer drug with a narrow therapeutic index. Therefore, sensitive and reliable quantification of DOX is crucial for therapeutic drug monitoring purposes. In this study, both a spectrophotometric and a smartphone-based colorimetric method were fabricated to detect DOX in plasma samples. Both methods utilize polyvinylpyrrolidone (PVP)-capped silver nanoplates, which undergo color with varying DOX concentrations. The colorimetric method offers significant beneficial features of fast detection time, simplicity, and the ability to be easily observed by the naked eye without any need for expensive instruments. The linear dynamic ranges are 0.25-5.0 µg/mL and 0.5-5.0 µg/mL, with the lower limit of quantification (LLOQ) of 0.25 and 0.5 µg/mL for spectrophotometric and smartphone image analysis, respectively. The smartphone-based image analysis was performed using a smartphone application (PhotoMetrix), which relies on univariate calibration using the histograms of the RGB image. Using the smartphone camera, the image histograms were automatically generated and processed. The proposed probe can potentially be utilized to detect DOX in clinical samples with a mean accuracy and precision of 88.7% and 3.2%, respectively. The results demonstrated that these methods can accurately determine DOX concentrations in plasma samples, highlighting the potential of integrating digital imagery and smartphone applications with chemometric tools.

Indexed as

ColorimetryDoxorubicinMetal NanoparticlesPovidoneSilverSmartphoneHumansLimit of DetectionSpectrophotometryDoxorubicinPovidoneSilverBiomedical analysisColorimetryDoxorubicinImage analysisSilver nanoparticles

Identifiers

PMID40289164
PMCPMC12034750

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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.