Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge …

LC Lee, CY Liong, AA Jemain - Analyst, 2018 - pubs.rsc.org
Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

Data fusion methodologies for food and beverage authentication and quality assessment–A review

E Borràs, J Ferré, R Boqué, M Mestres, L Aceña… - Analytica Chimica …, 2015 - Elsevier
The ever increasing interest of consumers for safety, authenticity and quality of food
commodities has driven the attention towards the analytical techniques used for analyzing …

An overview of multivariate qualitative methods for food fraud detection

MP Callao, I Ruisánchez - Food Control, 2018 - Elsevier
Multivariate qualitative methods are an analytical strategy for addressing problems related to
food fraud that cannot be solved with just one variable. Some examples are sample …

Toward the development of combined artificial sensing systems for food quality evaluation: A review on the application of data fusion of electronic noses, electronic …

R Calvini, L Pigani - Sensors, 2022 - mdpi.com
Devices known as electronic noses (ENs), electronic tongues (ETs), and electronic eyes
(EEs) have been developed in recent years in the in situ study of real matrices with little or …

The sequential and orthogonalized PLS regression for multiblock regression: theory, examples, and extensions

A Biancolillo, T Næs - Data handling in science and technology, 2019 - Elsevier
In this chapter, the sequentially orthogonalized-PLS (SO-PLS) method and some of its main
extensions are described and illustrated. Both theoretical aspects and applications on real …

Quality assessment of traditional Chinese medicine based on data fusion combined with machine learning: A review

R Ding, L Yu, C Wang, S Zhong… - Critical reviews in …, 2024 - Taylor & Francis
The authenticity and quality of traditional Chinese medicine (TCM) directly impact clinical
efficacy and safety. Quality assessment of traditional Chinese medicine (QATCM) is a global …

Spectralprint techniques for wine and vinegar characterization, authentication and quality control: Advances and projections

R Ríos-Reina, JM Camiña, RM Callejón… - TrAC Trends in Analytical …, 2021 - Elsevier
The current review focuses on the use of the most popular spectroscopic techniques applied
for wine and wine vinegar characterization, authentication, and quality control. The ever …

Multi-platform integration based on NIR and UV–Vis spectroscopies for the geographical traceability of the fruits of Amomum tsao-ko

Z Liu, S Yang, Y Wang, J Zhang - … Acta Part A: Molecular and Biomolecular …, 2021 - Elsevier
Due to the world-wide concern relating to herb quality and safety, there is a momentum to
authenticate the geographical origin of herb with multi-platform techniques. This study …

Data fusion approaches in spectroscopic characterization and classification of PDO wine vinegars

R Ríos-Reina, RM Callejón, F Savorani, JM Amigo… - Talanta, 2019 - Elsevier
Spain is one of the major producers of high-quality wine vinegars having three protected
designations of origin (aka PDOs):“Vinagre de Jerez”,“Vinagre de Condado de Huelva” and …

Data fusion strategies in food analysis

A Biancolillo, R Boqué, M Cocchi, F Marini - Data handling in science and …, 2019 - Elsevier
With the growing availability of high throughput methodologies for food characterization and
analysis, more and more data are being collected on food products that can be used for the …