AI Medical Compendium Journal:
Food research international (Ottawa, Ont.)

Showing 11 to 20 of 133 articles

Rapid and accurate identification and quantification of Lycium barbarum L. components: Integrating deep learning and NMR for nutritional assessment.

Food research international (Ottawa, Ont.) Mar 15, 2025
Lycium barbarum L. (L. barbarum), revered for its nutritional and commercial value, exhibits variable nutritional contents depending on the consumption method. This study introduces an innovative approach, the Identification and Quantification of L.b...
Nutritive Value Deep Learning Neural Networks, Computer Magnetic Resonance Spectroscopy Food Analysis Lycium Fruit Nutrition Assessment
View on PubMed DOI

Foodomics approaches: New insights in phenolic compounds analysis.

Food research international (Ottawa, Ont.) Mar 13, 2025
Fruits, vegetables, and plant-based foods contain several bioactive substances such as phenolic compounds (PCs), that are plant secondary metabolites with attributed health properties. The study of the metabolic pathways of PCs, including those relat...
Metabolomics Vegetables Proteomics Phenols Food Analysis Fruit
View on PubMed DOI

Origin traceability of agricultural products: A lightweight collaborative neural network for spectral information processing.

Food research international (Ottawa, Ont.) Mar 6, 2025
The natural conditions of various regions, including climate, soil, and water quality, significantly influence the nutrient composition and quality of agricultural products. Identifying the origin of agricultural products can prevent adulteration, im...
Food Quality Oryza Crops, Agricultural Arachis Neural Networks, Computer Agriculture Food Contamination Food Analysis
View on PubMed DOI

Predicting oleogels properties using non-invasive spectroscopic techniques and machine learning.

Food research international (Ottawa, Ont.) Feb 26, 2025
Oleogelators are considered food additives that require approval from regulatory authorities. Therefore, classifying these ingredients that may have characteristics (e.g., waxiness), cost and origin (e.g., animal or vegetable) is crucial to ensure co...
Spectrum Analysis, Raman Cellulose Principal Component Analysis Machine Learning Spectroscopy, Near-Infrared Organic Chemicals Sunflower Oil Food Additives Least-Squares Analysis Soybean Oil Fatty Acids, Nonesterified Waxes
View on PubMed DOI

A machine learning approach fusing multisource spectral data for prediction of floral origins and taste components of Apis cerana honey.

Food research international (Ottawa, Ont.) Feb 25, 2025
This study explores the use of near-infrared (NIR), mid-infrared (MIR), and Raman spectral fusion for the rapid prediction of floral origins and main taste components in Apis cerana (A. cerana) honey. Feature-level fusion with the partial least squar...
Flowers Machine Learning Bees Sugars Animals Spectroscopy, Near-Infrared Amino Acids Honey Taste Spectrum Analysis, Raman Least-Squares Analysis
View on PubMed DOI

Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration.

Food research international (Ottawa, Ont.) Feb 21, 2025
This work explored the light propagation of purees from a large variability of apple cultivar, storage period and heating duration based on their optical absorption (μ) and reduced scattering (μ') properties at 900-1650 nm, in order to better monitor...
Neural Networks, Computer Deep Learning Light Fruit Rheology Malus Food Storage Viscosity Hot Temperature Monte Carlo Method
View on PubMed DOI

Sensory-biased autoencoder enables prediction of texture perception from food rheology.

Food research international (Ottawa, Ont.) Feb 15, 2025
Understanding how the physical properties of food affect sensory perception remains a critical challenge for food design. Here, we present an innovative machine learning strategy to decode the complex relationships between non-Newtonian rheological a...
Humans Neural Networks, Computer Machine Learning Male Taste Rheology Female Young Adult Adult Food Autoencoder
View on PubMed DOI

A review: Integration of NIRS and chemometric methods for tea quality control-principles, spectral preprocessing methods, machine learning algorithms, research progress, and future directions.

Food research international (Ottawa, Ont.) Feb 15, 2025
With the steady rise in tea production, the need for effective tea quality monitoring has become increasingly pressing. Traditional sensory evaluation and wet chemical detection methods are insufficient for real-time tea quality monitoring. As an eme...
Quality Control Spectroscopy, Near-Infrared Machine Learning Chemometrics Plant Leaves Tea
View on PubMed DOI

Rapid discrimination of different primary processing Arabica coffee beans using FT-IR and machine learning.

Food research international (Ottawa, Ont.) Feb 10, 2025
In this study, fourier transform infrared spectroscopy (FT-IR) analysis was combined with machine learning, while various analytical techniques such as colorimetry, low-field nuclear magnetic resonance spectroscopy, scanning electron microscope, two-...
Magnetic Resonance Spectroscopy Coffee Multivariate Analysis Spectroscopy, Fourier Transform Infrared Seeds Discriminant Analysis Coffea Food Handling Microscopy, Electron, Scanning Machine Learning
View on PubMed DOI

Exploring the impact of lenticels on the detection of soluble solids content in apples and pears using hyperspectral imaging and one-dimensional convolutional neural networks.

Food research international (Ottawa, Ont.) Feb 7, 2025
In this work, the effect of lenticels on the predictive performance of apple and pear soluble solids content (SSC) models developed based on hyperspectral imaging (HSI) at 380-1010 nm was investigated for the first time. Variations in the spectral pr...
Calibration Malus Pyrus Convolutional Neural Networks Principal Component Analysis Least-Squares Analysis Discriminant Analysis Fruit Hyperspectral Imaging Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Popular Journals