Knowledge Graphs And Bayesian Networks Analyses To Elucidate Transformation Products Filiations During Wastewater Treatment: Application To Sulfamethoxazole (SMX)

Autor: Azaïs, Antonin, Minta, Ali Badara, Albasi, Claire, Jean-Marc Choubert, Ouaret, Rachid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::30df3627a7de4cf08abe262cf075df21

Sulfamethoxazole degradation pathways in wastewater treatment: Bayesian network-based approach for a meta-analysis of scientific papers.

Autor: Ouaret R; Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, 31000, France., Minta AB; Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, 31000, France.; INRAE, UR REVERSAAL, 5 Rue de La Doua, CS, 20244, F-69625, Villeurbanne Cedex, France., Albasi C; Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, 31000, France., Choubert JM; INRAE, UR REVERSAAL, 5 Rue de La Doua, CS, 20244, F-69625, Villeurbanne Cedex, France., Azaïs A; INRAE, UR REVERSAAL, 5 Rue de La Doua, CS, 20244, F-69625, Villeurbanne Cedex, France. antonin.azais@inrae.fr.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Oct 02. Date of Electronic Publication: 2024 Oct 02.