Chemometrics,NIRS-XRF and wet chemistry laboratory,and research Group – Department of Animal Medicine,Production and Health,University of Padova

Calvini R Foca G Ulrici A. Chemometrics, imaging and spectroscopy laboratory – Department of Life Sciences, University of Modena and Reggio Emilia. NIR News 2021; 32: 27–30.

Malegori C Mustorgi E. Analytical chemistry and chemometrics group, Department of Pharmacy, University of Genova: an update. NIR news 2020; 31: 30–33.

Marini F. Analytical chemistry and chemometrics group, Department of Chemistry – University of Rome “La Sapienza.” NIR News 2020; 31: 20–22.

Masoero G Xiccato G Dalle Zotte A , et al. Analisi della carne di coniglio mediante Spettroscopia NIR. Zoot Nutr Anim 1994; 20: 319–329.

Serva L Marchesini G Chinello M , et al. Use of near-infrared spectroscopy and multivariate approach for estimating silage fermentation quality from freshly harvested maize. Ital J Anim Sci 2021; 20: 859–871.

Serva L Andrighetto I Marchesini G , et al. Prognostic capacity assessment of a multiparameter risk score for aerobic stability of maize silage undergoing heterofermentative inoculation (Lactobacillus buchneri) in variable ensiling conditions. Animal Feed Sci Technol 2021; 281: 115116.

Marchesini G Serva L Chinello M , et al. Effect of maturity stage at harvest on the ensilability of maize hybrids in the early and late FAO classes, grown in areas differing in yield potential. Grass Forage Sci 2019; 74: 415–426.

Andrighetto I Serva L Gazziero M , et al. Proposal and validation of new indexes to evaluate maize silage fermentative quality in lab-scale ensiling conditions through the use of a receiver operating characteristic analysis. Anim Feed Sci Technol 2018; 242: 31–40.

Marchesini G Serva L Garbin E , et al. Near-infrared calibration transfer for undried whole maize plant between laboratory and on-site spectrometers. Ital J Anim Sci 2017; 17: 66–72.

Berzaghi P Serva L Piombino M , et al. Prediction performances of portable near infrared instruments for at farm forage analysis. Ital J Anim Sci 2005; 4: 145–147.

Evangelista C Basiricò L Bernabucci U. An overview on the use of near infrared spectroscopy (NIRS) on farms for the management of dairy cows. Agriculture 2021; 11: 296.

Serva L Marchesini G Garbin E , et al. Uso di uno strumento NIR portatile per la valutazione dell’omogeneità dell’unifeed distribuito in mangiatoia. In: Proceedings of the 7 Simposio Italiano Di Spettroscopia NIR. Lodi: SISNIR, 2016, pp.138–142.

Serva L Bison G Marchesini G , et al. Use of a portable NIR instrument as a rapid tool for cattle feeding control. In: Book of Abstract, ASPA 24th Congress, Padova, 21–24 September 2021.

Berzaghi P Dalle Zotte A Jansson LM , et al. Near-infrared reflectance spectroscopy (NIRS) as a mean to predict chemical composition of breast meat and discriminating between different n-3 PUFA feeding sources. Poultry Sci 2005; 84: 128–136.

Boschetti L Ottavian M Facco P , et al. A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy. Meat Sci 2013; 95: 621–628.

Concollato A Dalle Zotte A Serva L , et al. Impiego della Spettroscopia nel vicino infrarosso (NIRS) per predire la qualità del filetto di 5 ceppi genetici di trota iridea (Oncorhynchus mykiss) allevati in 3 diversi allevamenti del Trentino Alto Adige. In: Proc. 5° Simposio Italiano di Spettroscopia NIR, Agripolis, Legnaro, Padova, Italy, 26–28 settembre 2012.

Dalle Zotte A Berzaghi P Jansson LM , et al. The use of near-infrared reflectance spectroscopy (NIRS) in the prediction of chemical composition of freeze-dried egg yolk and discrimination between different n-3 PUFA feeding sources. Animal Feed Sci Technol 2006; 128: 108–121.

Dalle Zotte A Masoero G Sala G , et al. Effects of housing system on the meat quality of fattening rabbits by NIRS using ethanol or freeze-dried specimens. In: Proc. 53rd ICOMST, Beijing, China, 5–10 August 2007. Beijing: Guanghong Zhou & Weili Zhang (China), pp.339–340.

Dalle Zotte A Paci G Mirisola M , et al. Impiego della spettroscopia NIR per la stima della composizione chimica ed acidica della carne di coniglio e per discriminare l’allevamento outdoor da quello indoor. In: Proc. 3° Simposio Italiano di Spettroscopia NIR, Lazise, Verona, Italy, 22–23 maggio 2008.

Dalle Zotte A Berzaghi P Mirisola M , et al. Applicazione della spettroscopia NIR per la stima della composizione chimica ed acidica di tuorli d'uovo liofilizzati e per discriminare l'inclusione alimentare di Portulaca oleracea. In: Proc. 3° Simposio Italiano di Spettroscopia NIR, Lazise, Verona, Italy, 22–23 maggio 2008.

Dalle Zotte A Ottavian M Concollato A , et al. Authentication of raw and cooked freeze-dried rainbow trout (Oncorhynchus mykiss) by means of near infrared spectroscopy and data fusion. Food Res Int 2014; 60: 180–188.

Molette C Berzaghi P Dalle Zotte A , et al. The use of near infrared reflectance spectroscopy in the prediction of the chemical composition of geese fatty liver. Poultry Sci 2001; 80: 1625–1629.

Riovanto R Mirisola M Matics ZS , et al. Near infrared spectroscopy (NIRS) as a tool to predict meat chemical composition and fatty acid profile in different rabbit genotypes. Ital J Animal Sci 2009; 8: 799–801.

Tasoniero G Cullere M Serva L , et al. Use of Near Infrared Spectroscopy (NIRS) to discriminate meat cuts from rabbits divergently selected for total body fat content. In: Proc. 29th Hungarian conference on rabbit production, H-7400 Kaposvár, Guba Sándor u. 40, Hungary, 31 May 2017. pp.59–64.

Bisutti V Merlanti R Serva L , et al. Multivariate and machine learning approaches for honey botanical origin authentication using near infrared spectroscopy. J Near Infrared Spectrosc 2019; 27: 65–74.

De Jesus Inacio L Lanza I Merlanti R , et al. Discriminant analysis of pyrrolizidine alkaloid contamination in bee pollen based on near-infrared data from lab-stationary and portable spectrometers. Eur Food Res. Technol 2020; 246: 2471–2483.

Segato S Merlanti R Bisutti V , et al. Multivariate and machine learning models to assess the heat effects on honey physicochemical, colour and NIR data. Eur Food Res Technol 2019; 245: 2269–2278.

Cozzi G Ferlito J Pasini G , et al. Application of near-infrared spectroscopy as an alternative to chemical and color analysis to discriminate the production chains of Asiago d'Allevo cheese. J Agric Food Chem 2009; 57: 11449–11454.

Lanza I Serva L Contiero B , et al. Applicazione della spettroscopia NIR per la stima di varietà di Asiago DOP, NIR Italia online, 24–25 February 2021.

Varrà MO Fasolato L Serva L , et al. Use of near infrared spectroscopy coupled with chemometrics for fast detection of irradiated dry fermented sausages. Food Control 2020; 110: 107009.

Fasolato L Balzan S Riovanto R , et al. Comparison of visible and near-infrared reflectance spectroscopy to authenticate fresh and frozen-thawed swordfish (Xiphias gladius L). J Aquat Food Prod Technol 2012; 21: 493–507.

Ottavian M Fasolato L Serva L , et al. Data fusion for food authentication: fresh/frozen-thawed discrimination in West African Goatfish (Pseudupeneus prayensis) fillets. Food Bioprocess Technol 2014; 7: 1025–1036.

Sannia M Serva L Balzan S , et al. Application of near-infrared spectroscopy for frozen-thawed characterization of cuttlefish (Sepia officinalis). J Food Sci Technol 2019; 56: 4437–4447.

Currò S Balzan S Serva L , et al. Fast and green method to control frauds of geographical origin in traded cuttlefish using a portable infrared reflective instrument. Foods 2021; 10: 1678.

Fasolato L Andreani NA De Nardi R , et al. Spectrophotometric techniques for the characterization of strains involved in the blue pigmentation of food: preliminary results. Ital J Food Saf 2018; 7: 34–39.

Serva L Balzan S Bisutti V , et al. Use of near infrared spectroscopy and chemometrics to evaluate the shelf-life of cloudy sonicated apple juice. J Near Infrared Spectrosc 2019; 27: 75–85.

Lanza I Conficoni D Balzan S , et al. Assessment of chicken breast shelf life based on bench-top and portable near-infrared spectroscopy tools coupled with chemometrics. Food Qual Saf 2021; 5: fyaa032.