Current application of advancing spectroscopy techniques in food analysis: data handling with chemometric approaches

M Kharbach, M Alaoui Mansouri, M Taabouz, H Yu - Foods, 2023 - mdpi.com
In today's era of increased food consumption, consumers have become more demanding in
terms of safety and the quality of products they consume. As a result, food authorities are …

Pattern recognition techniques in food quality and authenticity: A guide on how to process multivariate data in food analysis

A de Araújo Gomes, SM Azcarate, I Špánik… - TrAC Trends in …, 2023 - Elsevier
According to the Food and Agriculture Organization of the United Nations, food safety is
defined as “assurance that food will not cause harm to the consumer which is prepared …

Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee

SSN Chakravartula, R Moscetti, G Bedini, M Nardella… - Food Control, 2022 - Elsevier
Food systems are negatively affected by food frauds with food recalls challenging the
system's sustainability and consumer confidence in food safety. Coffee, an economically …

A systematic account of food adulteration and recent trends in the non-destructive analysis of food fraud detection

R Aslam, SR Sharma, J Kaur… - Journal of Food …, 2023 - Springer
Food safety and authenticity have become a serious concern among consumers worldwide.
Economically motivated practices of food fraud can have widespread implications for public …

A comparative evaluation of low-field and high-field NMR untargeted analysis: Authentication of virgin coconut oil adulterated with refined coconut oil as a case study

R Bao, F Tang, C Rich, E Hatzakis - Analytica Chimica Acta, 2023 - Elsevier
Despite the advances in low-field nuclear magnetic resonance (NMR), there are limited
spectroscopic applications for untargeted analysis and metabolomics. To evaluate its …

One-class classification of special agroforestry Brazilian coffee using NIR spectrometry and chemometric tools

MNB Manuel, AC da Silva, GS Lopes, LPD Ribeiro - Food Chemistry, 2022 - Elsevier
The near-infrared spectrometry combined with the one-class classification method was
applied as quality control of the agroforestry-grown specialty coffee. A total of 34 samples …

[HTML][HTML] Authentication of saffron using 60 MHz 1H NMR spectroscopy

Y Gunning, KS Davies, EK Kemsley - Food Chemistry, 2023 - Elsevier
Abstract 60 MHz proton NMR spectroscopy was used to analyse extracts from saffron spice
and a range of potential adulterants and mixtures. Using a simple extraction procedure …

Three centuries on the science of coffee authenticity control

T Ferreira, L Galluzzi, T de Paulis, A Farah - Food Research International, 2021 - Elsevier
Food authenticity relies on genuineness and reliability according to the information
displayed on the package. Since the 18th century, when coffee became popularized in the …

[HTML][HTML] Non-destructive authentication of Gourmet ground roasted coffees using NIR spectroscopy and digital images

TKL de Araújo, RO Nóbrega, DD de Sousa Fernandes… - Food Chemistry, 2021 - Elsevier
The growing demand for excellent-quality coffees allied with their symbolic aestheticization
that add value to the products favor the adulteration practices and consequently economic …

Authentication of the origin, variety and roasting degree of coffee samples by non-targeted HPLC-UV fingerprinting and chemometrics. Application to the detection and …

N Núñez, X Collado, C Martínez, J Saurina, O Núñez - Foods, 2020 - mdpi.com
In this work, non-targeted approaches relying on HPLC-UV chromatographic fingerprints
were evaluated to address coffee characterization, classification, and authentication by …