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Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|July 27, 2025
Rapid classification of bacteria by a portable Raman spectrometer and machine learningCamilla Sacco Botto, Ciro Orecchio, Chiara D'Errico, et al.Talanta|January 2, 2020
Toward a novel framework for bloodstains dating by Raman spectroscopy: How to avoid sample photodamage and subsampling errorsAlicja Menżyk, Alessandro Damin, Agnieszka Martyna, et al.Bioanalysis|March 15, 2013
Multivariate strategies for screening evaluation of harmful drinkingValentina Pirro, Paolo Oliveri, Bruno Sciutteri, et al.BMC Veterinary Research|September 20, 2019
Effects of truck transportation and slaughtering on the occurrence of prednisolone and its metabolites in cow urine, liver, and adrenal glandsPierluigi Capra, Marta Leporati, Carlo Nebbia, et al.Journal of Analytical Toxicology|November 22, 2018
Detection of Fentanyl Analogs and Synthetic Opioids in Real Hair SamplesAlberto Salomone, Joseph J Palamar, Rachele Bigiarini, et al.Talanta|February 5, 2022
Development and validation of a UHPLC-HRMS-QTOF method for the detection of 132 New Psychoactive Substances and synthetic opioids, including fentanyl, in Dried Blood SpotsMarta Massano, Carola Incardona, Enrico Gerace, et al.Journal of the Science of Food and Agriculture|December 20, 2024
Characterization of the aromatic profile of Ruché wine from Piedmont (Italy) with gas chromatography-mass spectrometry and unsupervised machine learning techniquesCiro Orecchio, Roberto Rabezzana, Marco Vincenti, et al.BMC Veterinary Research|October 1, 2014
Profile of the urinary excretion of prednisolone and its metabolites in finishing bulls and cows treated with a therapeutic scheduleCarlo Nebbia, Pierluigi Capra, Marta Leporati, et al.Talanta|June 26, 2024
Determination of time since deposition of bloodstains through NIR and UV-Vis spectroscopy - A critical comparisonSara Gariglio, Cristina Malegori, Alicja Menżyk, et al.Steroids|July 8, 2019
Individual and cyclic estrogenic profile in women: Structure and variability of the dataCristina Bozzolino, Sara Vaglio, Eleonora Amante, et al.Pageof 11