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Dive into the research topics where Monica Borgogno is active.

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Featured researches published by Monica Borgogno.


Journal of the Science of Food and Agriculture | 2017

Inclusion of Hermetia illucens larvae meal on rainbow trout (Oncorhynchus mykiss) feed: effect on sensory profile according to static and dynamic evaluations

Monica Borgogno; Caterina Dinnella; Valeria Iaconisi; Renzo Fusi; Claudia Scarpaleggia; Achille Schiavone; Erminio Monteleone; Laura Gasco; Giuliana Parisi

BACKGROUND Diet implementation with insect meal has aroused increased attention in aquaculture considering the advantages of this new protein source. The effect of Hermetia illucens meal (HI) inclusion in diets on rainbow trout physical-chemical and sensory properties was evaluated. Three diets were prepared: HI0, HI25, HI50, with 0, 25 and 50% of HI replacing fish meal, respectively. Fillet sensory profiles were described by descriptive analysis and temporal dominance of sensation methods. Cooking loss, Warner-Bratzler shear force, proximate analysis, and fatty acid composition were also determined. RESULTS Diets significantly affected fillets sensory profile. Descriptive analysis indicated significant changes in perceived intensity of aroma, flavour and texture descriptors as a function of diet composition. Temporal dominance of sensation evaluations provided information on dominance and evolution of sensations perceived in fillets from different diets. The first sensations perceived as dominant were related to texture attributes, followed by flavours. Dominance of fibrousnesses decreased with the increase of HI in the diet. Boiled fish, algae flavours and umami taste clearly dominated the HI0 dynamic profile. The onset of metallic flavour dominance characterised HI25 and HI50. No differences in physical parameters were detected. Principal component analysis highlighted the relationship between sensory attributes and physico-chemical parameters. CONCLUSION The sensory description of fillets indicated that HI inclusion induces significant differences in the perceived profile.


Meat Science | 2015

Influence of familiarity with goat meat on liking and preference for capretto and chevon

Monica Borgogno; Mirco Corazzin; Elena Saccà; S. Bovolenta; Edi Piasentier

The research aimed at assessing liking and preference for capretto and chevon as a function of consumer familiarity with goat meat. Five meats were produced: traditional milk capretto (MC), heavy summer capretto (HSC), summering (SCh), fall (FCh) and late fall chevon (LFCh). HSC was the most tender meat, having less cooking losses than both MC and redder chevon types. The instrumental profile corresponded with the appearance and texture attributes perceived by panellists. With aging of kids, meat lost its milk aroma (MC) and sweet taste (HSC) and acquired an increasing intensity of goat flavour and livery notes, partially related to feeding regime and fatty acid profile. A niche market preferred chevon over capretto, while the cluster of consumers who were unfamiliar with chevon showed a decrease in pleasantness when tasting chevon, the familiar group reduced their ratings only for meat from the oldest kids.


Meat Science | 2016

Eating quality prediction of beef from Italian Simmental cattle based on experts' steak assessment

Monica Borgogno; Elena Saccà; Mirco Corazzin; Saida Favotto; S. Bovolenta; Edi Piasentier

The experiment aimed at defining a grading scheme for Italian Simmental (IS) beef linked to objective measure of eating quality. Four experts developed a meat quality grid based on the assessment of the steak between the 8th and 9th ribs (reference steak). The grid was tested on the reference steak of 29 IS young-bulls. Rib-eye dimension, meat colour, marbling, meat firmness and fat cover highly contributed to overall quality. Two classes of IS beef quality were identified: standard and high. The results were associated with the sensory profile of Longissimus thoracis muscle from the reference steaks performed by a trained panel. The differences in quality highlighted by experts in raw steak accounted for most of the relevant information regarding the sensory properties of cooked beef. The accuracy of predictive model was 96.6%. The developed scheme is a helpful tool for valuing the eating quality of beef.


Food Quality and Preference | 2015

The role of product familiarity and consumer involvement on liking and perceptions of fresh meat

Monica Borgogno; Saida Favotto; Mirco Corazzin; Armand V. Cardello; Edi Piasentier


Food Control | 2016

Effect of mechanical separation process on lipid oxidation in European aquacultured sea bass, gilthead sea bream, and rainbow trout products

Giulia Secci; Monica Borgogno; Paola Lupi; Silvia Rossi; Gisella Paci; Simone Mancini; Antonio Bonelli; Giuliana Parisi


Innovative Food Science and Emerging Technologies | 2017

Mechanical separation process for the value enhancement of Atlantic horse mackerel (Trachurus trachurus), a discard fish

Giulia Secci; Monica Borgogno; Simone Mancini; Gisella Paci; Giuliana Parisi


Food Quality and Preference | 2018

Personality traits and gender influence liking and choice of food pungency

Sara Spinelli; Alessandra De Toffoli; Caterina Dinnella; Monica Laureati; Ella Pagliarini; Alessandra Bendini; Ada Braghieri; Tullia Gallina Toschi; Fiorella Sinesio; Luisa Torri; Flavia Gasperi; Isabella Endrizzi; Massimiliano Magli; Monica Borgogno; Riccardo di Salvo; Saida Favotto; John Prescott; Erminio Monteleone


Meat Science | 2017

An emotional approach to beef evaluation

Monica Borgogno; Armand V. Cardello; Saida Favotto; Edi Piasentier


Lwt - Food Science and Technology | 2017

Technological and nutritional advantages of mechanical separation process applied to three European aquacultured species

Monica Borgogno; Yara Husein; Giulia Secci; Stefano Masi; Giuliana Parisi


AQUAIMPROVE - 2nd AQUACULTURE RESEARCH WORKSHOP | 2017

Effect of dietary replacement of fish meal by prepupae meal of black soldier fly (Hermetia illucens) on fillet quality traits and shelf-life of EUROPEAN sea bass (Dicentrarchus labrax) juveniles

Rita Pedrosa; Valeria Iaconisi; Monica Borgogno; Aires Oiva Teles; Helena Peres; Giuliana Parisi

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