NIR Sensing Technologies for the Detection of Fraud in Nuts and Nut Products: A Review.
detection of adulterants
food authentication
hyperspectral imaging
near-infrared spectroscopy
targeted and non-targeted approaches
Journal
Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569
Informations de publication
Date de publication:
22 May 2024
22 May 2024
Historique:
received:
02
05
2024
revised:
18
05
2024
accepted:
20
05
2024
medline:
19
6
2024
pubmed:
19
6
2024
entrez:
19
6
2024
Statut:
epublish
Résumé
Food fraud is a major threat to the integrity of the nut supply chain. Strategies using a wide range of analytical techniques have been developed over the past few years to detect fraud and to assure the quality, safety, and authenticity of nut products. However, most of these techniques present the limitations of being slow and destructive and entailing a high cost per analysis. Nevertheless, near-infrared (NIR) spectroscopy and NIR imaging techniques represent a suitable non-destructive alternative to prevent fraud in the nut industry with the advantages of a high throughput and low cost per analysis. This review collects and includes all major findings of all of the published studies focused on the application of NIR spectroscopy and NIR imaging technologies to detect fraud in the nut supply chain from 2018 onwards. The results suggest that NIR spectroscopy and NIR imaging are suitable technologies to detect the main types of fraud in nuts.
Identifiants
pubmed: 38890841
pii: foods13111612
doi: 10.3390/foods13111612
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng