Evidence map›Paper›PMID 42122473›Full record

ArticleSensors (Basel, Switzerland)2026

Comparative Evaluation of Portable and Benchtop NIR Spectroscopy and Hyperspectral Imaging for Detecting Honey Adulteration.

Aysenur-Betul Bilgin, Miguel Vega-Castellote, José-Antonio Entrenas, Irina Torres-Rodríguez, Didem-Peren Aykas, Pervin Basaran, Dolores Pérez-Marín

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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. Article
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

7 authors.

Aysenur-Betul BilginDepartment of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Istanbul Technical University, 34469 Istanbul, Türkiye.ORCID 0000-0002-8381-8224
Miguel Vega-CastelloteDepartment of Bromatology and Food Technology, Escuela Técnica Superior de Ingeniería Agronómica y de Montes (ETSIAM), University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.ORCID 0000-0001-5382-4554
José-Antonio EntrenasDepartment of Animal Production, Ingeniería de Sistemas Agroganaderos (ISAG) Research Group, Escuela Técnica Superior de Ingeniería Agronómica y de Montes (ETSIAM), University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.ORCID 0000-0003-2251-5702
Irina Torres-RodríguezDepartment of Animal Production, Ingeniería de Sistemas Agroganaderos (ISAG) Research Group, Escuela Técnica Superior de Ingeniería Agronómica y de Montes (ETSIAM), University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Didem-Peren AykasDepartment of Food Engineering, Faculty of Engineering, Adnan Menderes University, 09100 Aydin, Türkiye.ORCID 0000-0002-5500-0441
Pervin BasaranDepartment of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Istanbul Technical University, 34469 Istanbul, Türkiye.
Dolores Pérez-MarínDepartment of Animal Production, Ingeniería de Sistemas Agroganaderos (ISAG) Research Group, Escuela Técnica Superior de Ingeniería Agronómica y de Montes (ETSIAM), University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.ORCID 0000-0001-6629-4003

Funding

European Cooperation in Science and Technology CA19145 SENSORFINT
6 · The paper itself

Abstract

Honey adulteration remains a major challenge for ensuring food authenticity and sustainable quality control. In this study, near-infrared (NIR) spectroscopy and hyperspectral imaging (HSI) were comparatively evaluated as green, non-destructive analytical techniques for the discrimination of pure and adulterated honey using chemometric modeling. A total of 180 honey samples, including pure and adulterated samples with agave syrup, sucrose syrup, or water at varying concentrations, were analyzed using two NIR platforms (MicroNIR™ 1700 and NIRS™ DS2500) and an HSI system (Micro-Hyperspec

Indexed as

Food ContaminationHoneyHyperspectral ImagingDiscriminant AnalysisLeast-Squares AnalysisPrincipal Component AnalysisSpectroscopy, Near-Infraredchemometricsfood adulterationhoney authenticationhyperspectral imagingmultivariate classificationNIR spectroscopyPLS-DA

Identifiers

PMID42122473
PMCPMC13165910

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Registered trials

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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.