Košík

0552734 - ÚOCHB 2023 RIV US eng J - Článek v odborném periodiku
Song, X.-C. - Dreolin, N. - Damiani, Tito - Canellas, E. - Nerin, C.
Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials.
Journal of Agricultural and Food Chemistry. Roč. 70, č. 4 (2022), s. 1272-1281. ISSN 0021-8561. E-ISSN 1520-5118
Institucionální podpora: RVO:61388963
Klíčová slova: ion mobility * collision cross section * NIAS * food contact materials * machine learning
Obor OECD: Biochemistry and molecular biology
Impakt faktor: 6.1, rok: 2022
Způsob publikování: Open access
https://doi.org/10.1021/acs.jafc.1c06989
Trvalý link: http://hdl.handle.net/11104/0327848