The 11th Colloquium Chemiometricum Mediterraneum (CCM XI 2023) will take place in Padova (Italy) from 27 till 30 June 2023. The conference brings an outstanding and unique opportunity for exchanging knowledge on leading edge developments. The 11th Colloquium Chemiometricum Mediterraneum welcomes all contributions on classical tools and new tools in Chemometrics. The website of the conference is the following: https://ccm2023.gruppochemiometria.it/
Category Archives: News
Chemometrics Open Day 2023
Il Gruppo Divisionale di Chemiometria della Divisione di Chimica Analitica della Società Chimica Italiana organizza un appuntamento per l’approfondimento di tematiche di interesse chemiometrico: Chemometrics Open Day – La Chemiometria oggi, che si svolgerà giovedì 9 febbraio 2023 dalle ore 9.00.
Alla opening lecture del prof. Telmo Pievani (filosofo della Scienza, evoluzionista e divulgatore scientifico), seguirà una sessione di presentazioni e testimonianze dell’utilizzo e applicazione della chemiometria in vari contesti industriali ed infine un momento di discussione.
Informazioni e form per la registrazione all’evento sono disponibili al seguente link: https://www.gruppochemiometria.it/index.php/chemometrics-open-day
Identification of photodegradation products of Escitalopram
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]
Geochemical study of sulfide minerals persistence in the sedimentary records
Today Emmanuel Cruz discussed the results after the first year of his PhD project “Geochemical study of sulfide minerals persistence in the sedimentary records” here at Milano Chemometrics and QSAr Research Group. Looking forward to see what’s next!
MICHEM @ XXIX Congresso della Divisione di Chimica Analitica
We were at the XXIX Congresso della Divisione di Chimica Analitica (MIlazzo, 11 – 15 Settembre), where Roberto presented the study “The cluster validity indices: a comprehensive review and multiple comparison by chemometrics methods”, Fabio “Identification of photodegradation products of escitalopram in surface water by HPLC-MS/MS” and Veronica won the best poster award for the category forense e tossicologia “From the streets to the law-enforcement authorities: a rapid and sensitive uhplc-ms/ms method for the determination of 13 illicit substances in drug seizures”.
Chemometrics to enhance compound identification
Multi-task neural networks and molecular fingerprints to enhance compound identification from LC-MS/MS data, Molecules (2022), 27, 5827 [link]. Data to reproduce the results are available at our website: https://michem.unimib.it/download/data/lc-ms-ms-to-fingerprints-dataset/
Giacomo Baccolo PhD defense
Today Giacomno Baccolo successfully defended his PhD thesis: “Chemometrics approaches for the automatic analysis of metabolomics GC-MS data”. His thesis deals with the presentation of a new approach called AutoDise to extract meaningful chemical signals from GC-MS data in an automatic way.
If you are interested, the PhD thesis can be downloaded here: https://michem.unimib.it/download/phd-thesis/
ChemTastesDB: database for molecular tastants
ChemTastesDB is a database that includes curated information of 2944 molecular tastants. For each molecule the following information is provided: name, PubChem CID, CAS registry number, canonical SMILES string, class taste. The molecular structure in the HyperChem (.hin) format of each chemical is provided. The database is now available on Zenodo: https://zenodo.org/record/5747393#.Yhnx8ujMKUk
Multitask neural networks to predict molecular activity on nuclear receptors
Our paper dealing with the application of multitask neural networks to predict molecular activity on nuclear receptors is now published, have a look here: https://doi.org/10.1002/cem.3325
Cecile Valsecchi PhD defense
Today Cecile Valsecchi successfully defended her PhD thesis: “Advancing the prediction of Nuclear Receptor modulators through machine learning methods”. She studied potential interactions between chemicals and nuclear receptors, with the dual purpose of developing in silico tools to search for new modulators and to identify possible endocrine disrupting chemicals.
Congrats! Really a great job!
If you are interested, the PhD thesis can be downloaded here: https://michem.unimib.it/download/phd-thesis/