2023
DOI: 10.1177/09670335231156470
|View full text |Cite
|
Sign up to set email alerts
|

Nutritional labelling of food products purchased from online retail outlets: screening of compliance with European Union tolerance limits by near infrared spectroscopy

Abstract: Nutritional information provided on food labels can impact healthy dietary decisions of consumers. The accuracy of the information provided is of paramount importance to guide consumers’ food choices and prevent food-related chronic diseases. The present study aimed to verify the veracity of nutritional labels of 103 food products purchased online through well-known e-commerce websites (80 processed and 23 unprocessed items) using near infrared spectroscopy. Among processed food products, surprisingly, 28 food… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 39 publications
0
2
0
Order By: Relevance
“…In diverse kinds of cheeses and curds, all predictions of fat and the majority of predictions of protein and moisture/dry matter can be deemed excellent [ R 2 > 0.90; ( 37–39 )]. NIR spectroscopy is, therefore highly suitable for predicting main chemical components like fat, protein, and moisture, and it has also been proved to be effective for monitoring the compliance of nutritional labels with EU tolerance limits of a wide varety of food products ( 40 ). However, it is not stable for predicting chemicals with small amounts in cheese products [e.g., minerals, fatty acids; ( 41 )] since the amount of chemicals can alter the accuracy of prediction.…”
Section: Resultsmentioning
confidence: 99%
“…In diverse kinds of cheeses and curds, all predictions of fat and the majority of predictions of protein and moisture/dry matter can be deemed excellent [ R 2 > 0.90; ( 37–39 )]. NIR spectroscopy is, therefore highly suitable for predicting main chemical components like fat, protein, and moisture, and it has also been proved to be effective for monitoring the compliance of nutritional labels with EU tolerance limits of a wide varety of food products ( 40 ). However, it is not stable for predicting chemicals with small amounts in cheese products [e.g., minerals, fatty acids; ( 41 )] since the amount of chemicals can alter the accuracy of prediction.…”
Section: Resultsmentioning
confidence: 99%
“…Calibration curves of the macronutrients in the muscle were built using OPUS 7.0 (Bruker Optik GmbH) software. More details about the analysis procedure and subsequent macronutrient calculations are described by Bragolusi et al (2023) . Note that only NIR calibration curves for the macronutrient prediction of muscles tissue are available.…”
Section: Methodsmentioning
confidence: 99%