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Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning

https://doi.org/10.1002/jsfa.10862
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/aocs.12098openalex-snapshot
Formation of 4‐Hydroxy‐2‐Trans‐Nonenal, a Toxic Aldehyde, in Thermally Treated Olive and Sunflower Oils
inferredcites →https://doi.org/10.1007/bf02541084openalex-snapshot
Measurement of adulteration of olive oils by near‐infrared spectroscopy
inferredcites →https://doi.org/10.1007/s11947-012-0826-5openalex-snapshot
Discrimination of Edible Vegetable Oil Adulteration with Used Frying Oil by Low Field Nuclear Magnetic Resonance
inferredcites →https://doi.org/10.1007/s11947-019-02296-wopenalex-snapshot
Online Low-field Nuclear Magnetic Resonance (LF-NMR) and Magnetic Resonance Imaging (MRI) for Food Quality Optimization in Food Processing
inferredcites →https://doi.org/10.1007/s12161-018-1360-5openalex-snapshot
Fast Methodology for Identification of Olive Oil Adulterated with a Mix of Different Vegetable Oils
inferredcites →https://doi.org/10.1007/s12393-015-9118-yopenalex-snapshot
1H Nuclear Magnetic Resonance Relaxometry and Magnetic Resonance Imaging and Applications in Food Science and Processing
inferredcites →https://doi.org/10.1016/j.bspc.2014.12.005openalex-snapshot
Comparison of decision tree algorithms for EMG signal classification using DWT
inferredcites →https://doi.org/10.1016/j.foodchem.2005.06.008openalex-snapshot
Study of the adulteration of olive oil with hazelnut oil by on-line coupled high performance liquid chromatographic and gas chromatographic analysis of filbertone
inferredcites →https://doi.org/10.1016/j.foodchem.2008.01.044openalex-snapshot
Differential scanning calorimeter application to the detectionof refined hazelnut oil in extra virgin olive oil
inferredcites →https://doi.org/10.1016/j.foodchem.2009.04.088openalex-snapshot
High-power gradient diffusion NMR spectroscopy for the rapid assessment of extra-virgin olive oil adulteration
inferredcites →https://doi.org/10.1016/j.foodchem.2010.10.026openalex-snapshot
Tocopherol speciation as first screening for the assessment of extra virgin olive oil quality by reversed-phase high-performance liquid chromatography/fluorescence detector
inferredcites →https://doi.org/10.1016/j.foodchem.2012.02.154openalex-snapshot
MALDI-TOF mass spectrometry detection of extra-virgin olive oil adulteration with hazelnut oil by analysis of phospholipids using an ionic liquid as matrix and extraction solvent
inferredcites →https://doi.org/10.1016/j.foodchem.2016.06.048openalex-snapshot
Characterisation of minor components in vegetable oil by comprehensive gas chromatography with dual detection
inferredcites →https://doi.org/10.1016/j.foodchem.2016.08.051openalex-snapshot
Rapid detection of peanut oil adulteration using low-field nuclear magnetic resonance and chemometrics
inferredcites →https://doi.org/10.1016/j.foodchem.2016.09.011openalex-snapshot
Continuous statistical modelling for rapid detection of adulteration of extra virgin olive oil using mid infrared and Raman spectroscopic data
inferredcites →https://doi.org/10.1016/j.foodchem.2018.12.031openalex-snapshot
Rapid identification of edible oil species using supervised support vector machine based on low-field nuclear magnetic resonance relaxation features
inferredcites →https://doi.org/10.1016/j.jfca.2020.103566openalex-snapshot
Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance
inferredcites →https://doi.org/10.1016/j.measurement.2012.11.011openalex-snapshot
Exploiting sound signals for fault diagnosis of bearings using decision tree
inferredcites →https://doi.org/10.1016/j.tifs.2019.07.045openalex-snapshot
A critical review on analytical techniques to detect adulteration of extra virgin olive oil
inferredcites →https://doi.org/10.1021/jf0201834openalex-snapshot
Detection of Hazelnut Oil Adulteration Using FT-IR Spectroscopy
inferredcites →https://doi.org/10.1021/jf040279topenalex-snapshot
Detection of Extra Virgin Olive Oil Adulteration with Lampante Olive Oil and Refined Olive Oil Using Nuclear Magnetic Resonance Spectroscopy and Multivariate Statistical Analysis
inferredcites →https://doi.org/10.1021/jf050595nopenalex-snapshot
Detection of the Presence of Hazelnut Oil in Olive Oil by FT-Raman and FT-MIR Spectroscopy
inferredcites →https://doi.org/10.1021/jf9807014openalex-snapshot
Rapid Recognition of Olive Oil Adulterated with Hazelnut Oil by Direct Analysis of the Enantiomeric Composition of Filbertone
inferredcites →https://doi.org/10.1039/c5ay00048copenalex-snapshot
Advanced detection methods for traceability of origin and authenticity of olive oils
inferredcites →https://doi.org/10.1080/10942910701586273openalex-snapshot
Viscosity and Specific Heat of Vegetable Oils as a Function of Temperature: 35°C to 180°C
inferredcites →https://doi.org/10.1109/access.2018.2794346openalex-snapshot
ECG Signal Preprocessing and SVM Classifier-Based Abnormality Detection in Remote Healthcare Applications
inferredcites →https://doi.org/10.1109/isemantic.2016.7873831openalex-snapshot
Comparative analysis of machine learning KNN, SVM, and random forests algorithm for facial expression classification
inferredcites →https://doi.org/10.1109/tgrs.2016.2584107openalex-snapshot
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
inferredcites →https://doi.org/10.1111/j.1745-4522.2009.01143.xopenalex-snapshot
DIFFERENTIAL SCANNING CALORIMETRY DETECTION OF HIGH OLEIC SUNFLOWER OIL AS AN ADULTERANT IN EXTRA‐VIRGIN OLIVE OIL
inferredcites →https://doi.org/10.1111/j.1745-4530.2008.00265.xopenalex-snapshot
IMPACT OF BLENDING OF FRYING OILS ON VISCOSITY AND HEAT TRANSFER COEFFICIENT AT ELEVATED TEMPERATURES
inferredcites →https://doi.org/10.1111/jfpp.14138openalex-snapshot
Optimization of ultrasound‐assisted ethanol extraction of hazelnut oil
inferredcites →https://doi.org/10.1515/aoa-2015-0035openalex-snapshot
DC Motor Fault Analysis with the Use of Acoustic Signals, Coiflet Wavelet Transform, and K-Nearest Neighbor Classifier
inferredcites →https://doi.org/10.1515/ijfe-2018-0349openalex-snapshot
Detection of Sesame Oil Adulteration Using Low-Field Nuclear Magnetic Resonance and Chemometrics
inferredcites →https://doi.org/10.3390/s20092505openalex-snapshot
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques
inferredcites →https://doi.org/10.5121/hiij.2020.9102openalex-snapshot
EEG Signal Classification using LDA and MLP Classifier
inferredcites →https://doi.org/10.5281/zenodo.3900974openalex-snapshot
EEG SIGNAL CLASSIFICATION USING LDA AND MLP CLASSIFIER
inferredcites →https://doi.org/10.5935/0103-5053.20160188openalex-snapshot
Non-Invasive Detection of Adulterated Olive Oil in Full Bottles Using Time-Domain NMR Relaxometry

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4482804openalex-extracted
Application of the Ftir Technique as a Non-Invasive Tool to Discriminate Olive Oils with Protected Designation of Origin
inferred← citeshttps://doi.org/10.1002/aocs.12818openalex-snapshot
Review of computer‐aided methods in fat crystallization studies
inferred← citeshttps://doi.org/10.1002/cbdv.202301629openalex-snapshot
Application of the FTIR technique as a non‐invasive tool to discriminate Portuguese olive oils with Protected Designation of Origin
inferred← citeshttps://doi.org/10.1002/cbdv.202301697openalex-snapshot
A Review of Recent Progresses on Olive Oil Chemical Profiling, Extraction Technology, Shelf‐life, and Quality Control
inferred← citeshttps://doi.org/10.1002/ejlt.202100193openalex-snapshot
New Method Based on Polarity Reversal for Detecting Adulteration of Extra Virgin Olive Oil with Refined Olive Pomace Oil
inferred← citeshttps://doi.org/10.1007/978-3-031-76465-3_14openalex-snapshot
Analysis of Fats and Vegetable Oils
inferred← citeshttps://doi.org/10.1007/978-981-16-2422-3_62openalex-snapshot
Qualitative Analysis of Edible Oils Using Low Field $$^{1} $$H NMR Spectroscopy and Multivariate Statistical Methods
inferred← citeshttps://doi.org/10.1007/s11694-023-01836-5openalex-snapshot
Potential of low frequency dielectric spectroscopy and machine learning methods for extra virgin olive oils discrimination based on the olive cultivar and ripening stage
inferred← citeshttps://doi.org/10.1016/b978-0-443-22163-7.00011-5openalex-snapshot
Data analysis for analytical applications of nuclear magnetic resonance
inferred← citeshttps://doi.org/10.1016/bs.arnmr.2024.05.003openalex-snapshot
Artificial neural networks in magnetic resonance relaxometry
inferred← citeshttps://doi.org/10.1016/j.cofs.2021.03.012openalex-snapshot
A quick look to the use of time domain nuclear magnetic resonance relaxometry and magnetic resonance imaging for food quality applications
inferred← citeshttps://doi.org/10.1016/j.fbio.2025.106404openalex-snapshot
Artificial intelligence enhances food testing process: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.foodchem.2021.130898openalex-snapshot
Advanced process analytical tools for identification of adulterants in edible oils – A review
inferred← citeshttps://doi.org/10.1016/j.foodchem.2022.134828openalex-snapshot
Rapid detection of adulteration of olive oil with soybean oil combined with chemometrics by Fourier transform infrared, visible-near-infrared and excitation-emission matrix fluorescence spectroscopy: A comparative study
inferred← citeshttps://doi.org/10.1016/j.foodchem.2023.136161openalex-snapshot
A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine
inferred← citeshttps://doi.org/10.1016/j.foodchem.2024.138402openalex-snapshot
Application, challenges and future prospects of recent nondestructive techniques based on the electromagnetic spectrum in food quality and safety
inferred← citeshttps://doi.org/10.1016/j.foodchem.2024.141471openalex-snapshot
Integrating different detection techniques and data analysis methods for comprehensive food authenticity verification
inferred← citeshttps://doi.org/10.1016/j.foodcont.2025.111610openalex-snapshot
Expanding horizons: Toward the classification of extra virgin olive oil using 1H NMR and machine learning
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2025.125957openalex-snapshot
Trends and new process analytical technologies in pharmaceutical manufacturing
inferred← citeshttps://doi.org/10.1016/j.iswa.2025.200525openalex-snapshot
Artificial neural networks applied to olive oil production and characterization: A systematic review
inferred← citeshttps://doi.org/10.1016/j.jafr.2024.101123openalex-snapshot
Recent methods in detection of olive oil adulteration: State-of- the-Art
inferred← citeshttps://doi.org/10.1016/j.jfca.2024.106447openalex-snapshot
Chemometrics analysis of camellia oil authenticity using LF NMR and fatty acid GC fingerprints
inferred← citeshttps://doi.org/10.1016/j.jfca.2025.107755openalex-snapshot
Physicochemical and sensory induced changes in olive oil (cv ‘Moroccan Picholine’) sourced from various extraction technologies and blended with refined soybean and sunflower oils. A chemometric comparative study
inferred← citeshttps://doi.org/10.1016/j.tifs.2024.104344openalex-snapshot
Deep learning in food authenticity: Recent advances and future trends
inferred← citeshttps://doi.org/10.1021/acs.analchem.1c00765openalex-snapshot
A One-Dimensional U-Net-Based Calibration-Transfer Method for Low-Field Nuclear Magnetic Resonance Signals
inferred← citeshttps://doi.org/10.1021/acsfoodscitech.1c00254openalex-snapshot
Recent Advances in Analytical Detection of Olive Oil Adulteration
inferred← citeshttps://doi.org/10.1051/bioconf/202410901016openalex-snapshot
Detection and quantification of olive oil adulteration using fluorescence spectroscopy and chemometric tools
inferred← citeshttps://doi.org/10.1111/1541-4337.13005openalex-snapshot
Nuclear magnetic resonance spectroscopy in extra virgin olive oil authentication
inferred← citeshttps://doi.org/10.1140/epjp/s13360-023-03980-9openalex-snapshot
Comparison of homemade TD-NMR device and commercial devices for detection of oil adulteration
inferred← citeshttps://doi.org/10.2139/ssrn.5044118openalex-snapshot
Expanding Horizons: 1h-Nmr for Extra Virgin Olive Oil Authentication by Machine Learning Approach
inferred← citeshttps://doi.org/10.24012/dumf.1407248openalex-snapshot
A Novel Chemometric Learning Of Virgin And Deep Frying Olive-Oil By Fourier Transform Infrared Spectroscopy (FT-IR)
inferred← citeshttps://doi.org/10.3390/foods10123068openalex-snapshot
Rapid Identification of Adulteration in Edible Vegetable Oils Based on Low-Field Nuclear Magnetic Resonance Relaxation Fingerprints
inferred← citeshttps://doi.org/10.3390/molecules28104248openalex-snapshot
Detection of Hazelnut and Almond Adulteration in Olive Oil: An Approach by qPCR
inferred← citeshttps://doi.org/10.3390/su18031475openalex-snapshot
Digital Transformation Through Traceability: Enhancing Fraud Prevention and Economic Sustainability in the Olive Oil Industry
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