Davide Ballabio


Associate Professor at the University of Milano-Bicocca.

Research activities and skills

Application of machine learning on analytical chemical data.

Most Relevant Publication

Frigerio J., Marchesi C., Magoni C., Saliu F., Ballabio D., Consonni V., Gorini T., De Mattia F., Galli P., Labra M., Application of DNA mini-barcoding and infrared spectroscopy for the authentication of the Italian product “bottarga”, LWT – Food Science and Technology, 2021, 139, 110603

Hidalgo M.J., Fechner D.C., Ballabio D., Marchevsky E.J., Pellerano R.G., Traceability of soybeans produced in Argentina based on their trace element profiles, Journal of Chemometrics, 2020, 34, e3252

Bronzi B., Brilli C., Beone G.M., Fontanella M.C., Ballabio D., Todeschini R., Consonni V., Grisoni F., Parri F., Buscema M., Geographical identification of Chianti red wine based on ICP-MS element composition, Food Chemistry, 2020, 315, 126248

Morozova K., Rodríguez-Buenfil I., López-Domínguez C., Ramírez-Sucre M., Ballabio D., Scampicchio M., Capsaicinoids in chili habanero by flow injection with coulometric array detection, Electroanalysis, 2019, 31, 844-850

Ballabio D., Robotti E., Grisoni F., Quasso F., Bobba M., Vercelli S., Gosetti F., Calabrese G., Sangiorgi E., Orlandi M., Marengo E., Chemical profiling and multivariate data fusion methods for the identification of the botanical origin of honey. Food Chemistry, 2018, 266, 79-89