ArticleSensors (Basel, Switzerland)2021
Near-Infrared Reflectance Spectroscopy for Predicting the Phospholipid Fraction and the Total Fatty Acid Composition of Freeze-Dried Beef.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- From Grass to Graph: NIRS Calibration for Fatty Acid Profiling in Grass-Raised Beef.Foods (Basel, Switzerland) · 2025Article
- Comparing NIRS and Pulse Oximetry for Cerebral Oxygen Saturation During Hypoxia Testing.Medical sciences (Basel, Switzerland) · 2024Article
- Nutritional Quality of Meat from Barren Merino Ewes in Comparison to Meat from Traditional Lambs.Animals : an open access journal from MDPI · 2023Article
- Analysis of the Composition of Different Instars ofInsects · 2023Article
- Near-Infrared Reflectance Spectroscopy for Quantitative Analysis of Fat and Fatty Acid Content in LivingInsects · 2023Article
- Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Research on fatty acids (FA) is important because their intake is related to human health. NIRS can be a useful tool to estimate the FA of beef but due to the high moisture and the high absorbance of water makes it difficult to calibrate the analyses. This work evaluated near-infrared reflectance spectroscopy as a tool to assess the total fatty acid composition and the phospholipid fraction of fatty acids of beef using freeze-dried meat. An average of 22 unrelated pure breed young bulls from 15 European breeds were reared on a common concentrate-based diet. A total of 332 longissimus thoracis steaks were analysed for fatty acid composition and a freeze-dried sample was subjected to near-infrared spectral analysis. 220 samples (67%) were used as a calibration set with the remaining 110 (33%) being used for validation of the models obtained. There was a large variation in the total FA concentration across the animals giving a good data set for the analysis and whilst the coefficient of variation was nearly 68% for the monounsaturated FA it was only 27% for the polyunsaturated fatty acids (PUFA). PLS method was used to develop the prediction models. The models for the phospholipid fraction had a low R
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