| |
2022
-
Yassine Makni, Thierno Diallo, Thierry Guérin, Julien Parinet. Improving the monitoring of multi-class pesticides in baby foods using QuEChERS-UHPLC-Q-TOF with automated identification based on MS/MS similarity algorithms. Food Chemistry, Elsevier, 2022, 395, pp.133573. ⟨10.1016/j.foodchem.2022.133573⟩
- Thierno Diallo, Yassine Makni, Adélaïde Lerebours, Hélène Thomas, Thierry Guérin, Julien Parinet. Development and validation according to the SANTE guidelines of a QuECh-ERS-UHPLC-QTOF-MS method for the screening of 204 pesticides in bivalves. Food Chemistry, Elsevier, 2022, 386, pp.132871. ⟨10.1016/j.foodchem.2022.132871⟩. ⟨hal-03628271⟩
2021
- Julien Parinet. Predicting reversed-phase liquid chromatographic retention times of pesticides by deep neural networks. Heliyon, Elsevier 2021, 7 (12), pp.e08563
| |
- Julien Parinet. Prediction of pesticide retention time in reversed-phase liquid chromatography using quantitative-structure retention relationship models: a comparative study of seven molecular descriptors datasets. Chemosphere, Elsevier, 2021, pp.130036. ⟨10.1016/j.chemosphere.2021.130036⟩. ⟨hal-03158280⟩
|
|
|
2020
|
|
|
| |
- Deborah Martin, Fiona Lobo, Gwenaëlle Lavison-Bompard, Thierry Guérin, Julien Parinet. Effect of home cooking processes on chlordecone content in beef and investigation of its by-products and metabolites by HPLC-HRMS/MS. Environment International, Elsevier, 2020, 144, pp.106077. ⟨10.1016/j.envint.2020.106077⟩. ⟨hal-03158198⟩
|
