Chemical Profiling and Quality Assessment of Food Products Employing Magnetic Resonance Technologies
Guardado en:
| Publicado en: | Foods vol. 14, no. 14 (2025), p. 2417-2448 |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Publicado: |
MDPI AG
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3233189723 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2304-8158 | ||
| 024 | 7 | |a 10.3390/foods14142417 |2 doi | |
| 035 | |a 3233189723 | ||
| 045 | 2 | |b d20250715 |b d20250731 | |
| 084 | |a 231462 |2 nlm | ||
| 100 | 1 | |a Chandra, Prakash | |
| 245 | 1 | |a Chemical Profiling and Quality Assessment of Food Products Employing Magnetic Resonance Technologies | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) are powerful techniques that have been employed to analyze foodstuffs comprehensively. These techniques offer in-depth information about the chemical composition, structure, and spatial distribution of components in a variety of food products. Quantitative NMR is widely applied for precise quantification of metabolites, authentication of food products, and monitoring of food quality. Low-field 1H-NMR relaxometry is an important technique for investigating the most abundant components of intact foodstuffs based on relaxation times and amplitude of the NMR signals. In particular, information on water compartments, diffusion, and movement can be obtained by detecting proton signals because of H2O in foodstuffs. Saffron adulterations with calendula, safflower, turmeric, sandalwood, and tartrazine have been analyzed using benchtop NMR, an alternative to the high-field NMR approach. The fraudulent addition of Robusta to Arabica coffee was investigated by 1H-NMR Spectroscopy and the marker of Robusta coffee can be detected in the 1H-NMR spectrum. MRI images can be a reliable tool for appreciating morphological differences in vegetables and fruits. In kiwifruit, the effects of water loss and the states of water were investigated using MRI. It provides informative images regarding the spin density distribution of water molecules and the relationship between water and cellular tissues. 1H-NMR spectra of aqueous extract of kiwifruits affected by elephantiasis show a higher number of small oligosaccharides than healthy fruits do. One of the frauds that has been detected in the olive oil sector reflects the addition of hazelnut oils to olive oils. However, using the NMR methodology, it is possible to distinguish the two types of oils, since, in hazelnut oils, linolenic fatty chains and squalene are absent, which is also indicated by the 1H-NMR spectrum. NMR has been applied to detect milk adulterations, such as bovine milk being spiked with known levels of whey, urea, synthetic urine, and synthetic milk. In particular, T2 relaxation time has been found to be significantly affected by adulteration as it increases with adulterant percentage. The 1H spectrum of honey samples from two botanical species shows the presence of signals due to the specific markers of two botanical species. NMR generates large datasets due to the complexity of food matrices and, to deal with this, chemometrics (multivariate analysis) can be applied to monitor the changes in the constituents of foodstuffs, assess the self-life, and determine the effects of storage conditions. Multivariate analysis could help in managing and interpreting complex NMR data by reducing dimensionality and identifying patterns. NMR spectroscopy followed by multivariate analysis can be channelized for evaluating the nutritional profile of food products by quantifying vitamins, sugars, fatty acids, amino acids, and other nutrients. In this review, we summarize the importance of NMR spectroscopy in chemical profiling and quality assessment of food products employing magnetic resonance technologies and multivariate statistical analysis. | |
| 653 | |a Hazelnut oil | ||
| 653 | |a Datasets | ||
| 653 | |a Food products | ||
| 653 | |a Magnetic fields | ||
| 653 | |a Food quality | ||
| 653 | |a Oligosaccharides | ||
| 653 | |a Multivariate analysis | ||
| 653 | |a Metabolites | ||
| 653 | |a Fruits | ||
| 653 | |a Magnetic resonance spectroscopy | ||
| 653 | |a Vitamins | ||
| 653 | |a Spectroscopy | ||
| 653 | |a Nuclear magnetic resonance--NMR | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Milk | ||
| 653 | |a Amino acids | ||
| 653 | |a Spatial distribution | ||
| 653 | |a Storage conditions | ||
| 653 | |a Olive oil | ||
| 653 | |a Tartrazine | ||
| 653 | |a Squalene | ||
| 653 | |a Quality control | ||
| 653 | |a Water loss | ||
| 653 | |a Hazelnuts | ||
| 653 | |a Magnetic resonance imaging | ||
| 653 | |a Synthetic food | ||
| 653 | |a Multivariate statistical analysis | ||
| 653 | |a Coffee | ||
| 653 | |a Kiwifruit | ||
| 653 | |a Water chemistry | ||
| 653 | |a Medical imaging | ||
| 653 | |a Chemical composition | ||
| 653 | |a Quality assessment | ||
| 653 | |a Nutrients | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a Relaxation time | ||
| 653 | |a Cow's milk | ||
| 653 | |a NMR spectroscopy | ||
| 653 | |a Variables | ||
| 653 | |a Complexity | ||
| 653 | |a Food | ||
| 653 | |a Morphology | ||
| 653 | |a Density distribution | ||
| 653 | |a Honey | ||
| 700 | 1 | |a Mahar Rohit | |
| 773 | 0 | |t Foods |g vol. 14, no. 14 (2025), p. 2417-2448 | |
| 786 | 0 | |d ProQuest |t Agriculture Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3233189723/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3233189723/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3233189723/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |