ReviewFood science and biotechnology2024
An introductory review on the application of principal component analysis in the data exploration of the chemical analysis of food samples.
Review in Food science and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Laser-induced hyperspectral fluorescence for spatio-chemical detection of sunscreen contaminants in food-grade sea salt using sparse PCA-SVM analysis.Environmental geochemistry and health · 2026Article
- Navigating the Solubility Landscape of APIs in Deep Eutectic Solvents: A Data-Driven Thermodynamic Taxonomy of Solvation Regimes and Mechanisms.Molecules (Basel, Switzerland) · 2026Article
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- Quality Evaluation and Antioxidant Activity of CultivatedMolecules (Basel, Switzerland) · 2026Article
- Phenolic Composition and Antioxidant Properties of Bee Bread Collected in Three Consecutive Beekeeping Seasons in Poland.Molecules (Basel, Switzerland) · 2026Article
- Construction of pomelo peel essential oil pickering emulsion and its impact on the freeze-thaw stability of surimi gel.Open life sciences · 2026Article
- Food characterization in the omics era: current advances, analytical approaches, and future perspectives.Frontiers in nutrition · 2026Review
- Social Frailty in Older Adults: Proposal and Application of an Original Measurement Index.Annals of geriatric medicine and research · 2025Article
- Via entropy analysis (EA) and systematic cluster analysis (SCA), multi-index chemometric analysis of 20 amino acids, trace elements, etc., of five green teas from Guizhou, China.BMC chemistry · 2025Article
- Insights into the Formation of Ternary Complexes Among Wheat Starch, Lauric Acid and Protein: Effects of Plasma Pretreatment Times and Protein Types.Foods (Basel, Switzerland) · 2025Article
- Article
- Exploratory multivariate analysis using R Language for method development in liquid chromatography.Analytical and bioanalytical chemistry · 2025Article
- Bioinformatics analysis of shared biomarkers and immune pathways of preeclampsia and periodontitis.BMC pregnancy and childbirth · 2025Article
- Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle.PloS one · 2025Article
- Replacing traditional coffee appraisers with inductively coupled plasma - mass spectrometry (ICP-MS): From manual sensory evaluation to scientific analysis.Food chemistry: X · 2024Article
- Multi-Objective Optimization and Mechanical Properties Analysis of Steel-PVA Hybrid Fiber-Reinforced Cementitious Composites.Materials (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Principal component analysis (PCA) is currently one of the most used multivariate data analysis techniques for evaluating information from food analysis. In this review, a brief introduction to the theoretical principles that underlie PCA will be given, in addition to presenting the most commonly used computer programs. An example from the literature was discussed to illustrate the use of this chemometric tool and interpretation of graphs and parameters obtained. A list of recently published articles will also be presented, in order to show the applicability and potential of the technique in the food analysis field.
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