Silvia Grassi
Silvia Grassi
Department of science for food, nutrition and environment
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Cited by
Cited by
Advances in NIR spectroscopy applied to process analytical technology in food industries
S Grassi, C Alamprese
Current Opinion in Food Science 22, 17-21, 2018
Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis
A Giraudo, S Grassi, F Savorani, G Gavoci, E Casiraghi, F Geobaldo
Food Control 99, 137-145, 2019
Beer fermentation: Monitoring of process parameters by FT-NIR and multivariate data analysis
S Grassi, JM Amigo, CB Lyndgaard, R Foschino, E Casiraghi
Food chemistry 155, 279-286, 2014
Fraud in animal origin food products: Advances in emerging spectroscopic detection methods over the past five years
A Hassoun, I Måge, WF Schmidt, HT Temiz, L Li, HY Kim, H Nilsen, ...
Foods 9 (8), 1069, 2020
Handheld NIR device: A non-targeted approach to assess authenticity of fish fillets and patties
S Grassi, E Casiraghi, C Alamprese
Food chemistry 243, 382-388, 2018
Relationship between damage accrual, disease flares and cumulative drug therapies in juvenile-onset systemic lupus erythematosus
M Bandeira, S Buratti, M Bartoli, C Gasparini, L Breda, A Pistorio, S Grassi, ...
Lupus 15 (8), 515-520, 2006
Meat and fish freshness assessment by a portable and simplified electronic nose system (Mastersense)
S Grassi, S Benedetti, M Opizzio, E di Nardo, S Buratti
Sensors 19 (14), 3225, 2019
Evaluation of fresh meat quality by hyperspectral imaging (HSI), nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI): a review
T Antequera, D Caballero, S Grassi, B Uttaro, T Perez-Palacios
Meat Science 172, 108340, 2021
GlutoPeak profile analysis for wheat classification: Skipping the refinement process
C Malegori, S Grassi, JB Ohm, J Anderson, A Marti
Journal of cereal science 79, 73-79, 2018
FTIR-ATR Spectroscopy Combined with Multivariate Regression Modeling as a Preliminary Approach for Carotenoids Determination in Cucurbita spp.
N Quijano-Ortega, CA Fuenmayor, C Zuluaga-Dominguez, ...
Applied Sciences 10 (11), 3722, 2020
Monitoring of lactic acid fermentation process using Fourier transform near infrared spectroscopy
S Grassi, C Alamprese, V Bono, C Picozzi, R Foschino, E Casiraghi
Journal of Near Infrared Spectroscopy 21 (5), 417-425, 2013
Configuration of hyperspectral and multispectral imaging systems
JM Amigo, S Grassi
Data handling in science and technology 32, 17-34, 2019
Assessment of the sugars and ethanol development in beer fermentation with FT-IR and multivariate curve resolution models
S Grassi, JM Amigo, CB Lyndgaard, R Foschino, E Casiraghi
Food Research International 62, 602-608, 2014
Seafood freshness: e-nose data for classification purposes
S Grassi, S Benedetti, L Magnani, A Pianezzola, S Buratti
Food Control 138, 108994, 2022
Control and monitoring of milk renneting using FT-NIR spectroscopy as a process analytical technology tool
S Grassi, L Strani, E Casiraghi, C Alamprese
Foods 8 (9), 405, 2019
Monitoring the sprouting process of wheat by non-conventional approaches
S Grassi, G Cardone, D Bigagnoli, A Marti
Journal of Cereal Science 83, 180-187, 2018
Detection of ovarian cancer through exhaled breath by electronic nose: a prospective study
F Raspagliesi, G Bogani, S Benedetti, S Grassi, S Ferla, S Buratti
Cancers 12 (9), 2408, 2020
FT-IR extra virgin olive oil classification based on ethyl ester content
G Squeo, S Grassi, VM Paradiso, C Alamprese, F Caponio
Food Control 102, 149-156, 2019
Modelling milk lactic acid fermentation using multivariate curve resolution-alternating least squares (MCR-ALS)
S Grassi, C Alamprese, V Bono, E Casiraghi, JM Amigo
Food and bioprocess technology 7, 1819-1829, 2014
Spectroscopic approaches for non-destructive shell egg quality and freshness evaluation: Opportunities and challenges
E Loffredi, S Grassi, C Alamprese
Food Control 129, 108255, 2021
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