Evidence map›Paper›PMID 40108201›Full record

ArticleScientific reports2025

Bio-nanoparticles sensor couple with smartphone digital image colorimetry and dispersive liquid-liquid microextraction for aflatoxin B1 detection.

Mahsa Alikord, Nabi Shariatifar, Mammad Saraji, Hedayat Hosseini, Gholamreza Jahed Khaniki, Shahram Shoeibi, Toba Rezazadeh, Mohammad Fazeli

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mahsa AlikordNutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. mahsaalikord@yahoo.com.
Nabi ShariatifarDepartment of Environmental Health, Food Safety Division, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. nshariati@tums.ac.ir.
Mammad SarajiDepartment of Chemistry, Isfahan University of Technology, Isfahan, 84154-83111, Iran.
Hedayat HosseiniDepartment of Food Science and Technology, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gholamreza Jahed KhanikiDepartment of Environmental Health, Food Safety Division, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Shahram ShoeibiFood and Drug Laboratory Research Center (FDLRC), IRAN FDA, Tehran, Iran.
Toba RezazadehDepartment of Chemistry, Isfahan University of Technology, Isfahan, 84154-83111, Iran.
Mohammad FazeliPharmaceutical Quality Assurance Research Center, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel nanobiosensor-based colorimetric method was developed by integrating ZnO nanoparticles functionalized with curcumin, dispersive liquid-liquid microextraction (DLLME), and smartphone digital image colorimetry for the sensitive detection of aflatoxin B1 (AFB1) in baby food samples. The unique combination of biologically-derived ZnO nanoparticles with curcumin created a sensing platform, while DLLME provided efficient pre-concentration of the target analyte. A custom-designed portable colorimetric box enabled standardized image capture and analysis using a smartphone camera and colorimetric software. Under optimized conditions using chloroform as the extraction solvent and acetonitrile as the disperser solvent, the method achieved a remarkable limit of detection of 0.09 μg/kg within linear concentration range of 0-1 μg/L. The calibration curves demonstrated excellent linearity (R

Indexed as

Aflatoxin B1Biosensing TechniquesColorimetryLiquid Phase MicroextractionNanoparticlesSmartphoneCurcuminFood ContaminationLimit of DetectionAflatoxin B1CurcuminAflatoxin B1Baby foodCurcuminDispersive liquid–liquid microextractionSmartphone detectionZinc oxide nanoparticles

Identifiers

PMID40108201
PMCPMC11923168

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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.