News

Membrane introduction mass spectrometry (MIMS) is a direct mass spectrometry technique used to monitor online chemical systems or quickly quantify trace levels of different groups of compounds in complex matrices without extensive sample preparation steps and chromatographic separation. Here a recent review:

V. Termopoli, M. Piergiovanni, D. Ballabio, V. Consonni, E. Cruz Muñoz, F. Gosetti (2023) Condensed phase membrane introduction mass spectrometry: a direct alternative to fully exploit the mass spectrometry potential in environmental sample analysis, Separations, 10, 139, https://doi.org/10.3390/separations10020139

We have published a new chapter, which is a tutorial for training multitask neural networks in the framework of QSAR modelling, have a look here: https://doi.org/10.1007/978-3-031-20730-3_8

Valsecchi, C., Grisoni, F., Consonni, V., Ballabio, D., Todeschini, R. (2023). Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial. In Machine Learning and Deep Learning in Computational Toxicology. Computational Methods in Engineering & the Sciences. (Hong, H., eds), Springer

We have contributed with a chapter about chemometric methods used in the framework of food authenticity (Authenticity and Chemometrics basics) in the book Chemometrics and Authenticity of Foods of Plant Origin, CRC Press, here the link

Out a new publication: “From the streets to the judicial evidence: determination of traditional illicit substances in drug seizures by a rapid and sensitive UHPLC-MS/MS-based platform”, have a look here.

We have developed a new analytical method for the identification of photodegradation products of Escitalopram, details are published here: Termopoli, V., Consonni, V., Ballabio, D., Todeschini, R., Orlandi, M., Gosetti, F. (2022) Identification of photodegradation products of Escitalopram in surface water by HPLC-MS/MS and preliminary characterization of their potential impact on the environment, Separations, 9, 289 [link]