Open Access
Issue
E3S Web Conf.
Volume 695, 2026
2nd International Conference on Sustainable Chemistry (ICSChem 2025)
Article Number 03003
Number of page(s) 10
Section Green Chemistry
DOI https://doi.org/10.1051/e3sconf/202669503003
Published online 24 February 2026
  1. K. A. Mielko, N. Pudełko-Malik, A. Tarczewska, and P. Młynarz, “NMR spectroscopy as a ‘green analytical method’ in metabolomics and proteomics studies,” Sustain. Chem. Pharm., vol. 22, p. 100474, Sep. 2021, doi: 10.1016/j.scp.2021.100474. [Google Scholar]
  2. A. P. Sobolev, C. Ingallina, M. Spano, G. Di Matteo, and L. Mannina, “NMR-Based Approaches in the Study of Foods,” Molecules, vol. 27, no. 22, p. 7906, Nov. 2022, doi: 10.3390/molecules27227906. [Google Scholar]
  3. C. Castiello et al., “GreenMedChem: the challenge in the next decade toward eco-friendly compounds and processes in drug design,” Green Chem., vol. 25, no. 6, pp. 2109–2169, 2023, doi: 10.1039/D2GC03772F. [Google Scholar]
  4. A. Ciampa, F. Danesi, and G. Picone, “NMR-Based Metabolomics for a More Holistic and Sustainable Research in Food Quality Assessment: A Narrative Review,” Appl. Sci., vol. 13, no. 1, p. 372, Dec. 2022, doi: 10.3390/app13010372. [Google Scholar]
  5. C. Prakash and R. Mahar, “Chemical Profiling and Quality Assessment of Food Products Employing Magnetic Resonance Technologies,” Foods, vol. 14, no. 14, p. 2417, Jul. 2025, doi: 10.3390/foods14142417. [Google Scholar]
  6. M. A. Farag, A. Zayed, I. E. Sallam, A. Abdelwareth, and L. A. Wessjohann, “Metabolomics-Based Approach for Coffee Beverage Improvement in the Context of Processing, Brewing Methods, and Quality Attributes,” Foods, vol. 11, no. 6, p. 864, Mar. 2022, doi: 10.3390/foods11060864. [Google Scholar]
  7. S. Wonorahardjo, N. Yuniawati, A. D. P. Molo, H. O. Rusdi, and H. Purnomo, “Different Chemical Compound Profiles of Indonesian Coffee Beans as Studied Chromatography/Mass Spectrometry,” IOP Conf. Ser. Earth Environ. Sci., vol. 276, no. 1, p. 012065, May 2019, doi: 10.1088/1755-1315/276/1/012065. [Google Scholar]
  8. F. M. Borém, G. F. D. Abreu, A. G. Ferreira, M. D. S. Santos, T. D. C. Alves, and A. P. D. C. Alves, “1H NMR spectroscopy applied to identify chemical aging markers in green coffee (Coffea arabica L.),” Food Chem., vol. 405, p. 134667, Mar. 2023, doi: 10.1016/j.foodchem.2022.134667. [Google Scholar]
  9. R. O. Muniz, J. L. Gonzalez, A. T. Toci, and J. C. C. Freitas, “Using 1H low-field NMR relaxometry to detect the amounts of Robusta and Arabica varieties in coffee blends,” Food Res. Int., vol. 174, p. 113610, Dec. 2023, doi: 10.1016/j.foodres.2023.113610. [Google Scholar]
  10. M. A. Khan, B. Ahmad, A. A. Kamboh, and Z. Qadeer, “Use of NMR relaxometry for determination of meat properties: a brief review,” Food Mater. Res., vol. 2, no. 1, pp. 1–8, 2022, doi: 10.48130/FMR-2022-0008. [Google Scholar]
  11. P. M. Santos, E. R. Pereira-Filho, and L. A. Colnago, “Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR),” Microchem. J., vol. 124, pp. 15–19, Jan. 2016, doi: 10.1016/j.microc.2015.07.013. [Google Scholar]
  12. V. Remiro, M. I. Cambero, M. D. Romero-de-Ávila, D. Castejón, J. Segura, and M. E. Fernández-Valle, “Contributions to Estimating the Water-Holding Capacity in Fresh Pork Hams Using NMR Relaxometry,” Foods, vol. 14, no. 13, p. 2329, Jun. 2025, doi: 10.3390/foods14132329. [Google Scholar]
  13. M. Bacior and H. Harańczyk, “Study of wheat (Triticum aestivum L.) seed rehydration observed by the Dent generalized model and1H-NMR relaxometry,” Int. Agrophysics, vol. 38, no. 3, pp. 231–242, May 2024, doi: 10.31545/intagr/186805. [Google Scholar]
  14. M. Defernez et al., “Low-field 1H NMR spectroscopy for distinguishing between arabica and robusta ground roast coffees,” Food Chem., vol.216 , pp. 106–113, Feb. 2017, doi: 10.1016/j.foodchem.2016.08.028. [Google Scholar]

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