Alessandro Giraudo

Elena Bozzetta

Francesco Geobaldo

Francesco Pennisi

Francesco Savorani

Giovanna Esposito

Marzia Pezzolato

Nicola Cavallini

Italian

PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino)

17 July 2022POLITECNICO DI TORINORepository ISTITUZIONALEDiscrimination among different fish fillets with NIR spectroscopy / Esposito, Giovanna; Pezzolato, Marzia; Pennisi,Francesco; Giraudo, Alessandro; Cavallini, Nicola; Geobaldo, Francesco; Savorani, Francesco; Bozzetta, Elena. -ELETTRONICO. - (2022). ((Intervento presentato al convegno National Symposium of NIR Spectroscopy (NIR Italia2022) tenutosi a Izola, Slovenia nel 7-9 Giugno 2022.OriginalDiscrimination among different fish fillets with NIR spectroscopyPublisher:PublishedDOI:Terms of use:openAccessPublisher copyright(Article begins on next page)This article is made available under terms and conditions as specified in the  corresponding bibliographic description inthe repositoryAvailability:This version is available at: 11583/2968406 since: 2022-06-21T13:22:05ZAnna Sandak, Nežka Sajini, Monica CasaleBook of  abstracts7-9 June 2022  Izola, SloveniaMonica Casale(Presidente SISNIR)BenvenutoGentili Soci, Colleghi ed Amici SISNIR,è per me un grande piacere essere qui oggi: questo evento rappresenta oltre ad un importanteappuntamento per la nostra Società, anche una nuova ripartenza in presenza dopo 2 anni di   cili.Come prima cosa vorrei ringraziare tutto il Comitato Organizzatore di NIRITALIA2022, in particolar modo la nostra collega Anna Sandak per il lavoro svolto. Vorrei ringraziare tutti Voi per essere presenti e ringraziare i relatori che interverranno in queste due giornate, in particolare gliinvited speaker Jean-Michel Roger, Krzysztof B Bec e Justyna Grabska.Un ringraziamento speciale va in ne alle aziende che da sempre sostengono SISNIR e che hannosponsorizzato questo evento: Bruker, Buchi, Hellma, Viavi, Lot-Q e ITPhotonics.Sono molto felice di porgerVi, a nome di tutto il Direttivo e mio personale, un caloroso benvenuto,Vi auguriamo di trascorrere giornate ricche sotto tanti punti di vista. In particolare, ci auguriamo che questo evento, grazie alle relazioni scienti che e ai numerosi momenti di confronto, possa o  rire validi spunti di discussione concorrendo al raggiungimentodegli obiettivi della Società, ossia quelli della formazione e divulgazione scienti ca.Ci auguriamo inoltre di poter trascorre giornate piacevoli assieme in questa magni ca cornice diIsola e di ritrovare i momenti di socialità che tanto ci sono mancati.Vi auguro un Buon NIRITALIA2022!7-9 June 2022  Izola, Slovenia9th National Symposium host welcomeWe are very pleased to welcome you to the 9th National Symposium of the Italian Society for Near Infrared Spectroscopy (SISNIR). Organising the conference has been a point of pride for us at the University of Primorska and InnoRenew CoE. We are particularly pleased to organise this event in our new building, which we hope you will have an opportunity to see and will inspire you to visit us again in the near future.  The programme is  lled with novel research, and we are looking forward to hearing all about it. We are sure the conference will foster open discussion and knowledge-sharing of past experiences and encourage you to reach out to your peers and continue with the discussions after the conference.NIR spectroscopy is widely applicable in various disciplines. This sort of interdisciplinary science is exciting for us, and this is why the University of Primorska and InnoRenew CoE have invested in personnel and spectroscopic equipment to help shape the future of spectroscopy in science and industry.On behalf of both the University of Primorska and InnoRenew CoE, we would like to thank the organising committee for their hard work, the participants for submitting their work, the sponsors for their support, and all attendees for their interest in this topic. We wish you a productive conference that will inspire you in your future research. Michael Burnard, PhDDeputy Director InnoRenew CoEAssistant ProfessorProgramme Coordinator, Data Science Masters Degree ProgrammeUniversity of PrimorskaAndreja Kutnar, PhDDirectorInnoRenew CoEProfessorProgramme Coordinator, Renewable Materials and Healthy Built Environment PhD ProgrammeUniversity of Primorska7-9 June 2022  Izola, Slovenia9th National Symposium organising committee welcomeDespite the pandemic that continues to a  ect Europe and the whole world, and the di   cult po-litical situation in Europe related to the ongoing war in Ukraine, we are very pleased to be able to organise the 9th National Symposium of SISNIR in Izola, Slovenia. We do believe it is a great opportunity to meet each other face to face, to present our work, as well as exchange ideas, opinions, and future research topics.We are especially pleased to present our four distinguished keynote speakers and dear friends, Dr. Jean-Michel Roger, Dr. Justyna Granska, and Dr. Krzysztof Bec who will share with us their years of experience in NIR spectroscopy and present cutting-edge research in this  eld. We are also thankful to our sponsors Bruker, Buchi, Hellma, itphotonic, QuantumDesign and VIAVI Solu-tions for their generous support.                                                                     Wishing you a fruitful and inspirational time,Anna Sandak on behalf of the 9th National Symposium organising committee7-9 June 2022  Izola, Slovenia Monica Casale, University of Genoa, DIFAR Anna Sandak, InnoRenew CoE, University of Primorska, FAMNIT Monica Casale, University of Genoa, DIFAR Silvia Grassi, University of Milan, DeFENS Cristina Malegori, University of Genoa, DIFAR Federico Marini, Sapienza University of Rome, Chemistry Department Anna Sandak, InnoRenew CoE, University of Primorska, FAMNIT Jakub Sandak, InnoRenew CoE, University of Primorska, IAM Alessandro Ulrici, University of Modena and Reggio Emilia, Department of Life Sciences Albert Kravos, InnoRenew CoE Amy Simmons, InnoRenew CoE, University of Primorska, IAM Anna Sandak, InnoRenew CoE, University of Primorska, FAMNIT Benjamin Boi , InnoRenew CoE Faksawat Poohphajai, InnoRenew CoE Gertrud Fábián, InnoRenew CoE Jakub Sandak, InnoRenew CoE, University of Primorska, IAM Lea Primoi , InnoRenew CoE Liz Dickinson, InnoRenew CoE Neka Sajin i , InnoRenew CoE Oihana Gordobil, InnoRenew CoE René Herrera, InnoRenew CoE, University of the Basque Country Richard Acquah, InnoRenew CoE Sasikala Perumal, InnoRenew CoE Tine ukljan, InnoRenew CoE, University of Primorska, IAM Veerapandian Ponnuchamy, InnoRenew CoEConference chairpersonsScienti c committeeOrganizing CommitteeEditors: Anna Sandak, Neka Sajin i , Monica Casale7-9 June 2022  Izola, SloveniaProgram / ProgrammaTuesday, 07.06.202209:00 Registration09:40 Welcome10:00 Keynote #1: Krzysztof Be  &Justyna GrabskaIn silico simulation of NIR spectra: fundamental insights, new discoveries and emerging possibilities for analyticalapplications11:00 Coffee break sponsored by BrukerSession #1: Environment & Agriculture11:20 Elena Leoni Performance evaluation of NIR prediction models ofmoisture content on industrial woodchip11:40 Gasparini Andrea Evaluation of the antioxidant capacity of the hydrophilic and lipophilic extract of hemp seed cake of differentvarieties12:00 Myriam Catalá Metabolomic analysis of the global molecular  ngerprint and aquaphotomic analysis of the dehydration- rehydration cycle of the symbiotic aeroterrestrial microalga Asterochloris erici12:20 Sponsor presentation Bruker12:4013:40Lunch break10:0012:00Training 1: Practical exercise with NIR instrumentsSponsors12:0014:00Lunch break14:0016:00Training 2: Theoretical course  data pre-treatmentJean Michel Roger16:1518:00Ice breaker  welcome receptionWednesday, 08.06.20227-9 June 2022  Izola, Slovenia13:4014:00Poster sessionSession #2: Imaging14:00 Danial FatchurrahmanPrediction of nutritional quality and the astringency of Black chokeberry (Aronia melanocarpa L.) using a Hyperspectral Imaging System in the Visible-NIR and Near-Infrared regions14:20 Rosalba Calvini NIR Hyperspectral imaging for on- eld detection ofHalyomorpha halys14:40 Cristina Malegori Near infrared hyperspectral imaging and multivariate image analysis for microplastics identi cation and haracterisation in aquatic samples15:00 Maria Luisa Amodio Potential application of hyperspectral imaging and FT-NIR spectroscopy for discrimination of soilless tomato according to cultivation practices with different level of sustainability15:20 Sponsor presentation Buchi15:40 Coffee break sponsored by Buchi16:0017:40SISNIR general assembly17:40-19:00Free timeThursday, 09.06.202209:00 Registration10:00 Keynote #2: Jean-Michel RogerIncreasing the robustness of chemometric models by calibration transfer, orthogonal projections, domain adaptationSession #3: Pharmaceutical10:20 Remo Simonetti The central role of NIR spectroscopy in the oral solid dosage Real Time Release testing10:40 Monica Casale A moving-block-PCA based approach for real time monitoring of a powder blending process using a miniaturized near infrared sensor7-9 June 2022  Izola, Slovenia11:00 Coffee breakSession #4: PAT & chemometrics11:20 Eleonora Mustorgi Multivariate qualitative approaches for on-line monitoring of a mixing process using a miniaturized NIR probe11:40 Lorenzo Strani On-line prediction of ABS quality parameters fusing NIR and process sensors data using different multiblock approaches12:00 Federico Marini Strategies for non-linear modelling of NIR data12:2013:40Lunch break13:4014:00Poster sessionSession #5: Food part 114:00 Alessandro Giraudo 3-2-1: Three NIR instruments, two  sh species, one chemometric approach14:20 Marco Bragolusi Combination of NIR spectroscopy and LASSO modelling for black pepper authentication: development of the method, exploration of validation strategies and build-up of a user-friendly online application for large-scale screening14:40 Silvia Grassi FT-NIR spectroscopy for vinegar adulteration assessment15:00 Sponsor presentation Hellma15:20 Coffee break sponsored by HelmaSession #6: Food part 215:40 GiuseppinaMarelloValidation and accreditation of automatic method in NIRNear Infrared Spectroscopy on butter matrix16:00 Alessia Pampuri Grape polyphenol content prediction through vis/NIRspectroscopy in a view of real time application at winery consignment16:20 Nicola Cavallini Measure your bratwurst: quantifying the content of mechanically separated meat by means of NIRspectroscopy and chemometrics7-9 June 2022  Izola, Slovenia16:4017:40Best oral and poster presentation award & closing of the conferenceFriday, 10.06.202211:1515:00Post-conference tourSponsor GoldSponsor Silver7-9 June 2022  Izola, SloveniaGiovanna EspositoDiscrimination among di  erent  sh  llets with NIR spectroscopyG. Esposito*, M. Pezzolato, F. Pennisi, A. Giraudo, N. Cavallini, F. Geobaldo, F. Savorani E. Bozzetta Istituto Zoopro lattico Sperimentale del Piemonte, Liguria e Valle dAosta, via Bologna 148  10154, Torino, Italy Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Torino, TO 10129, Italy*Corresponding author, email:giovanna.esposito@izsto.itFish and related products have become categories of food among the most vulnerable to frauds (FAO, 2018). Examples of fraudolent practices are species substitution or mislabelling. Until now several spectroscopic techniques in conjunction with chemometrics have been used to evaluate the quality or the authenticity of seafood products such as vibrational,  uorescence and ultraviolet/visible absorption. Based on this background, in this study a method to distinguish between di  erent types of  sh  llets was developed. Five species were selected: Epinephelus costae; Gadus morhua; Pleuronectes platessa; Synaptura cadenati and Chelidonichthys lucerna. The analyses were performed by using three di  erent types of NIR instrument: a bench NIR, a portable micro-NIR and a handheld NIR (SCiO) on 50 samples for each category. Using a chemometric approach to analyse the NIR data, good identi cation performances were obtained, in fact each NIR instrument allowed to classify  sh  llets with an overall accuracy ranging from 65% up to 93%. The proposed method can help in  ghting commercial frauds in  sh market throughout the entire commercial chain.Keywords:  sh  llets, food frauds, NIR, chemometricsAcknowledgements: This study was supported by the Italian Ministry of Health, under Grant nr. IZSPLV 02-18 - RC.REFERENCESFood and Agriculture Organization of the United Nations. 2018. OVERVIEW OF FOOD FRAUD IN THE FISHERIES SECTOR. FAO Fisheries and Aquaculture Circular No. 11657-9 June 2022  Izola, SloveniaGiovanna EspositoDiscriminazione tra diverse specie di  letti di pesce mediante spettroscopiaG. Esposito*, M. Pezzolato, F. Pennisi, A. Giraudo, N. Cavallini, F. Geobaldo, F. Savorani E. Bozzetta Istituto Zoopro lattico Sperimentale del Piemonte, Liguria e Valle dAosta, via Bologna 148  10154, Torino, Italy Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi, 24, Torino, TO 10129, Italy*Corresponding author, email:giovanna.esposito@izsto.itIl pesce e i prodotti correlati sono diventati categorie di alimenti tra i più vulnerabili alle frodi(FAO, 2018). Esempi di pratiche fraudolente sono la sostituzione o lerrata etichettatura dellespecie. Finora sono state utilizzate diverse tecniche spettroscopiche in combinazione con lachemiometria per valutare la qualità o lautenticità dei prodotti ittici come la spettroscopia vibrazionale, della  uorescenza e dellassorbimento nelll ultravioletto/visibile. Sulla base diqueste conoscenze, in questo studio è stato sviluppato un metodo per distinguere tra diversitipi di  letti di pesce. A tale scopo sono state selezionate cinque specie: Epinephelus costae ;Gadus morhua; Pleuronectes platessa; Synaptura cadenati e Chelidonichthys lucerna. Le analisisono state eseguite utilizzando tre diversi tipi di strumenti NIR: un NIR da banco, un micro-NIRportatile e un NIR portatile (SCiO), selezionando 50 campioni per ogni categoria. Attraversoun approccio chemiometrico dati NIR sono stati analizzati, ottenendo buone prestazioni di identi cazione, infatti ogni strumento NIR ha permesso di classi care i  letti di pesce conunaccuratezza complessiva che va dal 65% al 93%. Il metodo proposto può quindi essere unvalido stumento per aiutare a combattere le frodi commerciali nel mercato ittico lungo linteracatena commerciale.Parole chiave:  letti di pesce, frode alimentare, NIR, chemiometriaRingraziamenti: Questo studio è stato supportato dal Ministero della Salute Italiano Grant nr.IZSPLV 02-18 - RC.Riferimenti bibliogra ci:Food and Agriculture Organization of the United Nations. 2018. OVERVIEW OF FOOD FRAUD INTHE FISHERIES SECTOR. FAO Fisheries and Aquaculture Circular No. 11657-9 June 2022  Izola, Slovenia

Discrimination among different fish fillets with NIR spectroscopy

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Discrimination among different fish fillets with NIR spectroscopy

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