A Review of Quantitative and Topical Analysis of Anthocyanins in Food.
analytical chemistry
anthocyanins
quantitative methods
topical methods
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
11 Apr 2024
11 Apr 2024
Historique:
received:
15
02
2024
revised:
09
04
2024
accepted:
10
04
2024
medline:
27
4
2024
pubmed:
27
4
2024
entrez:
27
4
2024
Statut:
epublish
Résumé
Anthocyanins, a subclass of flavonoids known for their vibrant colors and health-promoting properties, are pivotal in the nutritional science and food industry. This review article delves into the analytical methodologies for anthocyanin detection and quantification in food matrices, comparing quantitative and topical techniques. Quantitative methods, including High-performance Liquid Chromatography (HPLC) and Mass Spectrometry (MS), offer precise quantification and profiling of individual anthocyanins but require sample destruction, limiting their use in continuous quality control. Topical approaches, such as Near-infrared Spectroscopy (NIR) and hyperspectral imaging, provide rapid, in situ analysis without compromising sample integrity, ideal for on-site food quality assessment. The review highlights the advancements in chromatographic techniques, particularly Ultra-high-performance Liquid Chromatography (UHPLC) coupled with modern detectors, enhancing resolution and speed in anthocyanin analysis. It also emphasizes the growing importance of topical techniques in the food industry for their efficiency and minimal sample preparation. By examining the strengths and limitations of both analytical realms, this article aims to shed light on current challenges and prospective advancements, providing insights into future research directions for improving anthocyanin analysis in foods.
Identifiants
pubmed: 38675555
pii: molecules29081735
doi: 10.3390/molecules29081735
pii:
doi:
Substances chimiques
Anthocyanins
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Science Center
ID : 2021/Q5 43/D/NZ9/01572