Cargando…
Semi-Autonomic AI LF-NMR Sensor for Industrial Prediction of Edible Oil Oxidation Status
The evaluation of an oil’s oxidation status during industrial production is highly important for monitoring the oil’s purity and nutritional value during production, transportation, storage, and cooking. The oil and food industry is seeking a real-time, non-destructive, rapid, robust, and low-cost s...
Autores principales: | Osheter, Tatiana, Campisi Pinto, Salvatore, Randieri, Cristian, Perrotta, Andrea, Linder, Charles, Weisman, Zeev |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962559/ https://www.ncbi.nlm.nih.gov/pubmed/36850723 http://dx.doi.org/10.3390/s23042125 |
Ejemplares similares
-
(1)H LF-NMR Self-Diffusion Measurements for Rapid Monitoring of an Edible Oil’s Food Quality with Respect to Its Oxidation Status
por: Osheter, Tatiana, et al.
Publicado: (2022) -
Time Domain (TD) Proton NMR Analysis of the Oxidative Safety and Quality of Lipid-Rich Foods
por: Osheter, Tatiana, et al.
Publicado: (2022) -
Proton Low Field NMR Relaxation Time Domain Sensor for Monitoring of Oxidation Stability of PUFA-Rich Oils and Emulsion Products
por: Resende, Maysa T., et al.
Publicado: (2021) -
The Process of Pasting and Gelling Modified Potato Starch with LF-NMR
por: Walkowiak, Katarzyna, et al.
Publicado: (2022) -
LF-NMR/MRI Determination of Different 6-Benzylaminopurine Concentrations and Their Effects on Soybean Moisture
por: Gu, Ying, et al.
Publicado: (2022)