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Chemometrics Open Day 2023

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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

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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]

 

MICHEM @ XXIX Congresso della Divisione di Chimica Analitica

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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”.

Giacomo Baccolo PhD defense

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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

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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