Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessmentSimone Squara, Chiara Cordero, Giuseppe Genova et al.|Journal of Chromatography A|2023Cited by 31
Artificial intelligence decision making tools in food metabolomics: Data fusion unravels synergies within the hazelnut (Corylus avellana L.) metabolome and improves quality predictionSimone Squara, Chiara Cordero, Giuseppe Genova et al.|Food Research International|2024Cited by 13
Validation of a high-throughput method for the accurate quantification of secondary products of lipid oxidation in high-quality hazelnuts (Corylus avellana L.): A robust tool for quality assessmentSimone Squara, Chiara Cordero, Giuseppe Castello et al.|Journal of Food Composition and Analysis|2022Cited by 12
Integrated Strategy for Informative Profiling and Accurate Quantification of Key-Volatiles in Dried Fruits and Nuts: An Industrial Quality Control PerspectiveAndrea Caratti, Chiara Cordero, Giuseppe Genova et al.|Foods|2022Cited by 7