LANZA, ILARIA

LANZA, ILARIA  

Dipartimento di Biomedicina Comparata e Alimentazione - BCA  

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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.02 secondi).
Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
Ambient mass spectrometry for rapid authentication of milk from Alpine or lowland forage 2022 Riuzzi G.Lanza I.Novelli E.Gottardo F.Segato S. + SCIENTIFIC REPORTS - -
Application of spectroscopic techniques and chemometric approaches for authentication of animal food products 2023 LANZA, ILARIA - - -
Assessment of chicken breast shelf life based on bench-top and portable near-infrared spectroscopy tools coupled with chemometrics 2021 Lanza I.Conficoni D.Balzan S.Cullere M.Fasolato L.Serva L.Contiero B.Trocino A.Marchesini G.Xiccato G.Novelli E.Segato S. FOOD QUALITY AND SAFETY - -
Authentication of forage-based milk by mid-level data fusion of (+/−) DART-HRMS signatures 2021 Riuzzi, GiorgiaBisutti, VittoriaLanza, IlariaContiero, BarbaraGottardo, FlavianaSegato, Severino + INTERNATIONAL DAIRY JOURNAL - -
Detection of poultry breast freezing method by NIR spectroscopy 2022 S. SegatoL. ServaM. MirisolaS. TentiG. GerardiI. LanzaL. MagrinE. Novelli + - - NIR Italia 2022 Beyond spectral range Book of abstracr
Discriminant analysis of pyrrolizidine alkaloid contamination in bee pollen based on near-infrared data from lab-stationary and portable spectrometers 2020 De Jesus Inacio L.Lanza I.Merlanti R.Contiero B.Lucatello L.Serva L.Bisutti V.Mirisola M.Tenti S.Segato S.Capolongo F. EUROPEAN FOOD RESEARCH AND TECHNOLOGY - -
Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration 2021 Riuzzi G.Lanza I.Contiero B.Gottardo F.Segato S. + SCIENTIFIC REPORTS - -
Spectroscopic methods and machine learning modelling to differentiate table eggs from quails fed with different inclusion levels of silkworm meal 2023 Lanza, IlariaCurrò, SarahSegato, SeverinoServa, LorenzoCullere, MarcoCatellani, PaoloFasolato, LucaPasotto, DanielaDalle Zotte, Antonella FOOD CONTROL - -
Use of GC–MS and 1H NMR low-level data fusion as an advanced and comprehensive metabolomic approach to discriminate milk from dairy chains based on different types of forage 2021 Lanza I.Segato S.Contiero B.Magrin L.Cozzi G. + INTERNATIONAL DAIRY JOURNAL - -