Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity–A review

AM Jiménez-Carvelo, A González-Casado… - Food research …, 2019 - Elsevier
In recent years, the variety and volume of data acquired by modern analytical instruments in
order to conduct a better authentication of food has dramatically increased. Several pattern …

Food and agro-product quality evaluation based on spectroscopy and deep learning: A review

X Zhang, J Yang, T Lin, Y Ying - Trends in Food Science & Technology, 2021 - Elsevier
Background Rapid and non-destructive infrared spectroscopy has been applied to both
internal and external quality evaluations of food and agro-products. Various linear and …

Potential of smartphone-coupled micro NIR spectroscopy for quality control of green tea

L Li, S Jin, Y Wang, Y Liu, S Shen, M Li, Z Ma… - … Acta Part A: Molecular …, 2021 - Elsevier
Green tea adulterated with sugar and glutinous rice flour has an increased sensitivity to
water, which affects the safety of the tea. A total of 475 samples of pure tea, sugar …

Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review

A Femenias, F Gatius, AJ Ramos, V Sanchis, S Marín - Food Control, 2020 - Elsevier
Hyperspectral imaging (HSI) is an emergent, rapid, cost-effective and non-destructive
technique in which the spectral data are obtained for each pixel location in a sample's …

A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging

Y Dixit, M Al-Sarayreh, CR Craigie, MM Reis - Meat Science, 2021 - Elsevier
This study demonstrates a novel approach to develop global calibration models for
predicting intramuscular fat (IMF) and pH across various red meat species and muscle types …

An eco-friendly approach for analysing sugars, minerals, and colour in brown sugar using digital image processing and machine learning

V Alves, JM Dos Santos, O Viegas, E Pinto… - Food Research …, 2024 - Elsevier
Brown sugar is a natural sweetener obtained by thermal processing, with interesting
nutritional characteristics. However, it has significant sensory variability, which directly …

[HTML][HTML] Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy

SB Junior, SM Mastelini, APAC Barbon… - … processing in agriculture, 2020 - Elsevier
Near Infrared (NIR) spectroscopy is an analytical technology widely used for the non-
destructive characterisation of organic samples, considering both qualitative and …

Comparison of chemometric problems in food analysis using non-linear methods

WFC Rocha, CB Prado, N Blonder - Molecules, 2020 - mdpi.com
Food analysis is a challenging analytical problem, often addressed using sophisticated
laboratory methods that produce large data sets. Linear and non-linear multivariate methods …

Authentication of Tokaj wine (Hungaricum) with the electronic tongue and near infrared spectroscopy

JLZ Zaukuu, J Soós, Z Bodor, J Felföldi… - Journal of food …, 2019 - Wiley Online Library
Tokaj wines (Hungaricum) are botrytized wines acknowledged for the unique organoleptic
properties bestowed by botrytized grape berries during production. Excluding these berries …

[HTML][HTML] Handheld near infrared spectrometer and machine learning methods applied to the monitoring of multiple process stages in industrial sugar production

BH da Silva Melo, RF Sales, L da Silva Bastos Filho… - Food Chemistry, 2022 - Elsevier
This work aimed to evaluate the performance of a handheld NIR spectrometer in developing
calibration models to quantify brix and pol at various stages of an industrial sugar production …