AIMC Topic: Olive Oil

Clear Filters Showing 1 to 10 of 14 articles

Machine learning-aided microRNA discovery for olive oil quality.

PloS one Oct 11, 2024
MicroRNAs (miRNAs) are key regulators of gene expression in plants, influencing various biological processes such as oil quality and seed development. Although, our knowledge about miRNAs in olive (Olea europaea L.) is progressing, with several miRNA...
Gene Expression Regulation, Plant RNA, Plant Olea Olive Oil Support Vector Machine MicroRNAs Machine Learning
View on PubMed DOI

Deep learning domain adaptation to understand physico-chemical processes from fluorescence spectroscopy small datasets and application to the oxidation of olive oil.

Scientific reports Sep 27, 2024
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, with applications in environmental monitoring, food quality control, and biomedical diagnostics. However, analysis of spectroscopic data with deep learning, in particular...
Neural Networks, Computer Oxidation-Reduction Spectrometry, Fluorescence Olive Oil Algorithms Deep Learning
View on PubMed DOI

Raman spectroscopy combined with multiple one-dimensional deep learning models for simultaneous quantification of multiple components in blended olive oil.

Food chemistry Aug 5, 2023
Blended vegetable oils are highly prized by consumers for their comprehensive nutritional profile. Therefore, there is an urgent need for a rapid and accurate method to identify the true content of blended oils. This study combined Raman spectroscopy...
Soybean Oil Sunflower Oil Plant Oils Olive Oil Deep Learning Spectrum Analysis, Raman
View on PubMed DOI

A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine.

Food chemistry Apr 14, 2023
Adulteration identification of extra virgin olive oil (EVOO) is a vital issue in the olive oil industry. In this study, chromatographic fingerprint data of pigments combined with machine learning methodologies were successfully identified and classif...
Support Vector Machine Sunflower Oil Rapeseed Oil Corn Oil Plant Oils Olive Oil
View on PubMed DOI

Olive oil classification with Laser-induced fluorescence (LIF) spectra using 1-dimensional convolutional neural network and dual convolution structure model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 21, 2022
Laser-induced fluorescence (LIF) spectroscopy is widely used for the analysis and classification of olive oil. This paper proposes the classification of LIF data using a specific 1-dimensional convolutional neural network (1D-CNN) model, which does n...
Olive Oil Support Vector Machine Lasers Neural Networks, Computer Fluorescence
View on PubMed DOI

Classification of Greek Olive Oils from Different Regions by Machine Learning-Aided Laser-Induced Breakdown Spectroscopy and Absorption Spectroscopy.

Molecules (Basel, Switzerland) Feb 25, 2021
In the present work, the emission and the absorption spectra of numerous Greek olive oil samples and mixtures of them, obtained by two spectroscopic techniques, namely Laser-Induced Breakdown Spectroscopy (LIBS) and Absorption Spectroscopy, and aided...
Greece Machine Learning Spectrophotometry, Atomic Spectroscopy, Near-Infrared Spectrophotometry, Ultraviolet Linear Models Principal Component Analysis Olive Oil Discriminant Analysis
View on PubMed DOI

Laser-based classification of olive oils assisted by machine learning.

Food chemistry Aug 5, 2019
Olive oil is an essential diet component in all Mediterranean countries having a considerable impact on the local economies, which are producing almost 90% of the world production. Therefore, the quality assessment of olive oil in terms of its acidit...
Spectrum Analysis Lasers Olive Oil Food Analysis Signal Processing, Computer-Assisted Machine Learning Algorithms
View on PubMed DOI

The involvement of phenolic-rich extracts from Galician autochthonous extra-virgin olive oils against the α-glucosidase and α-amylase inhibition.

Food research international (Ottawa, Ont.) Aug 21, 2018
'Brava' and 'Mansa de Figueiredo' extra-virgin olive oils (EVOOs) are two varieties identified from north-western Spain. A systematic phenolic characterization of the studied oils was undertaken by LC-ESI-IT-MS. In addition, the role of dietary polyp...
Aldehydes Cyclopentane Monoterpenes Spain Glycoside Hydrolase Inhibitors Pyrans Phenols Glucosides alpha-Amylases alpha-Glucosidases Iridoids Iridoid Glucosides Hypoglycemic Agents Olive Oil Flavonoids Diabetes Mellitus, Type 2 Plant Extracts
View on PubMed DOI

A critical review on the use of artificial neural networks in olive oil production, characterization and authentication.

Critical reviews in food science and nutrition Feb 16, 2018
Artificial neural networks (ANN) are computationally based mathematical tools inspired by the fundamental cell of the nervous system, the neuron. ANN constitute a simplified artificial replica of the human brain consisting of parallel processing neur...
Quality Control Olea Olive Oil Biometric Identification Chemical Phenomena Neural Networks, Computer Computational Biology Humans
View on PubMed DOI

Cultivar classification of Apulian olive oils: Use of artificial neural networks for comparing NMR, NIR and merceological data.

Food chemistry Sep 7, 2016
The development of an efficient and accurate method for extra-virgin olive oils cultivar and origin authentication is complicated by the broad range of variables (e.g., multiplicity of varieties, pedo-climatic aspects, production and storage conditio...
Neural Networks, Computer Olive Oil Magnetic Resonance Spectroscopy
View on PubMed DOI
Popular Topics
Recent Journals