ReviewFoods (Basel, Switzerland)2021
State-of-the-Art of Analytical Techniques to Determine Food Fraud in Olive Oils.
Review in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed.
- A Platform for High-Throughput Chemical Analysis of Foods: Characterization of Extra Virgin Olive by Direct Mass Spectrometry and Machine Learning.Journal of mass spectrometry : JMS · 2026Article
- Differentiation of Plant and Animal-Derived Cholesterol Using irm-Magnetic resonance in chemistry : MRC · 2026Article
- Peptide-Functionalized Silicon-Photonic E‑Nose for Monitoring Oxidation in Extra Virgin Olive Oil.ACS measurement science au · 2026Article
- Fruit Seeds with Functional Applications: From Food Waste to Potential Uses.Molecules (Basel, Switzerland) · 2026Review
- The contribution of vibrational spectroscopy and data analytics towards the achievement of the global sustainability goals.Journal of the science of food and agriculture · 2026Review
- NMR-based metabolomic approach to estimate chemical and sensorial profiles of olive oil.Computational and structural biotechnology journal · 2025Article
- Foodomics as a Tool for Evaluating Food Authenticity and Safety from Field to Table: A Review.Foods (Basel, Switzerland) · 2024Review
- Using HPLC with In-Column Derivatization to Authenticate Coffee Samples.Molecules (Basel, Switzerland) · 2023Article
- Mechanisms and Health Aspects of Food Adulteration: A Comprehensive Review.Foods (Basel, Switzerland) · 2023Review
- Recent Advances in Analytical Methods for the Detection of Olive Oil Oxidation Status during Storage along with Chemometrics, Authenticity and Fraud Studies.Biomolecules · 2022Review
- Considering Fraud Vulnerability Associated with Credence-Based Products Such as Organic Food.Foods (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The benefits of the food industry compared to other sectors are much lower, which is why producers are tempted to commit fraud. Although it is a bad practice committed with a wide variety of foods, it is worth noting the case of olive oil because it is a product of great value and with a high percentage of fraud. It is for all these reasons that the authenticity of olive oil has become a major problem for producers, consumers, and legislators. To avoid such fraud, it is necessary to develop analytical techniques to detect them. In this review, we performed a complete analysis about the available instrumentation used in olive fraud which comprised spectroscopic and spectrometric methodology and analyte separation techniques such as liquid chromatography and gas chromatography. Additionally, other methodology including protein-based biomolecular techniques and analytical approaches like metabolomic, hhyperspectral imaging and chemometrics are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.