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| Issue Date | Title | Author(s) |
|---|---|---|
| 5-Oct-2013 | A need for determination of arsenic species at low levels in cereal-based food and infant cereals. Validation of a method by LC-ICPMS. | Llorente Mirandes, Antoni; Calderon, Josep; Centrich, Francesc; Rubio i Rovira, Roser; López Sánchez, José Fermín |
| 2012 | A fully validated method for the determination of arsenic species in rice and infant cereal products | Llorente Mirandes, Antoni; Calderon, Josep; López Sánchez, José Fermín; Centrich, Francesc; Rubio i Rovira, Roser |
| 9-Dec-2015 | Desenvolupament i evolució d’un sistema modificat de LA-ICP/MS per la caracterització no destructiva d’obres del Patrimoni Cultural | Marín Aznar, Eva |
| 15-Dec-2016 | Accuracy of a method based on atomic absorption spectrometry to determine inorganic arsenic in food: outcome of the collaborative trial IMEP-41 | Fiamegkos, I.; Cordeiro, Fernando; Robouch, P.; Velez, D.; Devesa, V.; Raber, G.; Sloth, J. J.; Rasmussen, R. R.; Llorente Mirandes, Antoni; López Sánchez, José Fermín; Rubio i Rovira, Roser; Cubadda, F.; D'Amato, M.; Feldmann, J.; Raab, Andrea; Emteborg, H.; de la Calle, M. B. |
| 2021 | (TFG) Characterization and classification of musts, wines and sparkling wines by their elemental composition determined by ICP-OES and ICP-MS | Granell Geli, Biel |
| 12-Jan-2024 | Elemental fingerprinting combined with machine learning techniques as a powerful tool for geographical discrimination of honeys from nearby regions | Mara, Andrea; Migliorini, Matteo; Ciulu, Marco; Chignola, Roberto; Egido, Carla; Núñez Burcio, Oscar; Sentellas, Sonia; Saurina, Javier; Caredda, Marco; Deroma, Mario A.; Deidda, Sara; Langasco, Ilaria; Pilo, Maria I.; Spano, Nadia; Sanna, Gavino |
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