ReviewRSC advances2021
Honey authenticity: analytical techniques, state of the art and challenges.
Review in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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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.
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.
Who cites it
39 citing papers in PubMed.
- Immature Honey as a Quality Challenge in Global Apicultural Production.Foods (Basel, Switzerland) · 2026Review
- Authenticity Assessment of Five Monofloral Honeys Based on Phytochemical Profiles.Foods (Basel, Switzerland) · 2026Article
- Modern Fluorescence Strategies for Honey Characterization: Analytical Advances, Emerging Technologies, Methodological Challenges, and Future Perspectives.Foods (Basel, Switzerland) · 2026Review
- Honey Fraud as a Moving Analytical Target: Omics-Informed Authentication Within a Multi-Layer Analytical Framework.Foods (Basel, Switzerland) · 2026Review
- Analysis of Changes in Selected Physicochemical Parameters and Elemental Composition of Honey as a Result of Adulteration with Sugar Additives.Foods (Basel, Switzerland) · 2026Article
- Chemometric Differentiation of Organic Honeys from Southeastern Türkiye Based on Free Amino Acid and Phenolic Profiles.Foods (Basel, Switzerland) · 2025Article
- Ecological, Apicultural, and Therapeutic Value ofFoods (Basel, Switzerland) · 2025Review
- Physicochemical and Sensory Evaluation of Romanian Monofloral Honeys from Different Supply Chains.Foods (Basel, Switzerland) · 2025Article
- The Journey of Artificial Intelligence in Food Authentication: From Label Attribute to Fraud Detection.Foods (Basel, Switzerland) · 2025Review
- Portuguese Monofloral Honeys: Molecular Insights and Biochemical Characterization.Molecules (Basel, Switzerland) · 2025Article
- Honey: Inorganic Composition as Possible Marker for Botanical and Geological Assignment.Molecules (Basel, Switzerland) · 2025Review
- Honey Differentiation Using Infrared and Raman Spectroscopy Analysis and the Employment of Machine-Learning-Based Authentication Models.Foods (Basel, Switzerland) · 2025Article
- New Insights on Quality, Safety, Nutritional, and Nutraceutical Properties of Honeydew Honeys from Italy.Molecules (Basel, Switzerland) · 2025Article
- Rapid Authentication of Intact Stingless Bee Honey (SBH) by Portable LED-Based Fluorescence Spectroscopy and Chemometrics.Foods (Basel, Switzerland) · 2024Article
- Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography-Mass Spectrometry and Chemometrics.Metabolites · 2024Article
- Review
- The Use of Fluorescence Spectrometry Combined with Statistical Tools to Determine the Botanical Origin of Honeys.Foods (Basel, Switzerland) · 2024Article
- Application of untargeted liquid chromatography-mass spectrometry to routine analysis of food using three-dimensional bucketing and machine learning.Scientific reports · 2024Article
- An innovative molecular approach towards the cost-effective entomological authentication of honey.NPJ science of food · 2024Article
- Elemental Fingerprinting Combined with Machine Learning Techniques as a Powerful Tool for Geographical Discrimination of Honeys from Nearby Regions.Foods (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Honey is a high-value, globally consumed, food product featuring a high market price strictly related to its origin. Moreover, honey origin has to be clearly stated on the label, and quality schemes are prescribed based on its geographical and botanical origin. Therefore, to enhance food quality, it is of utmost importance to develop analytical methods able to accurately and precisely discriminate honey origin. In this study, an all-time scientometric evaluation of the field is provided for the first time using a structured keyword on the Scopus database. The bibliometric analysis pinpoints that the botanical origin discrimination was the most studied authenticity issue, and chromatographic methods were the most frequently used for its assessment. Based on these results, we comprehensively reviewed analytical techniques that have been used in honey authenticity studies. Analytical breakthroughs and bottlenecks on methodologies to assess honey quality parameters using separation, bioanalytical, spectroscopic, elemental and isotopic techniques are presented. Emphasis is given to authenticity markers, and the necessity to apply chemometric tools to reveal them. Altogether, honey authenticity is an ever-growing field, and more advances are expected that will further secure honey quality.
Identifiers
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Registered trials
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.