Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10237
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dc.contributor.authorSöyler, Alper-
dc.contributor.authorÇıkrıkçı, Sevil-
dc.contributor.authorÇavdaroğlu, Çağrı-
dc.contributor.authorBouillaud, Dylan-
dc.contributor.authorFarjon, Jonathan-
dc.contributor.authorGiraudeau, Patrick-
dc.contributor.authorÖztop, Mecit H.-
dc.date.accessioned2021-01-24T18:33:11Z-
dc.date.available2021-01-24T18:33:11Z-
dc.date.issued2021-
dc.identifier.issn0023-6438-
dc.identifier.issn1096-1127-
dc.identifier.urihttps://doi.org/10.1016/j.lwt.2020.110557-
dc.identifier.urihttps://hdl.handle.net/10237-
dc.description.abstractBenchtop NMR systems offers various advantages such as being easy to use, not requiring constant maintenance and being available at affordable prices. In this study, multiple aspects of benchtop NMR spectroscopy were explored to analyze milk in an industrial context, either regarding the quality of production or regarding the differentiation of the final product. The first part focuses on the production conditions of lactose hydrolysis in milk and quantitative online NMR spectroscopy was adapted to follow lactose hydrolysis in milk in continuous flow mode. The second part focuses on differentiating milk samples having different properties. 36 milk samples from France and Turkey were analysed and glycerol, fat and sugar contents were measured from the NMR spectra. Combination of spectroscopic data with a proposed Artificial Neural Network model enabled to classify milk of different origins and different properties. This study shows that benchtop NMR spectroscopy is a versatile non-destructive control method that can help controlling milk quality both during and after production. © 2020 Elsevier Ltden_US
dc.description.sponsorshipAlper Soyler got funding from Short Term Scientific Mission (STSM) program under COST Action CA15209 EURELAX – European Network on NMR Relaxometry ( http://www.cost.eu/COST_Actions/ca/CA15209 ) to conduct experiments at the University of Nantes . Authors from Nantes acknowledge support from the Corsaire metabolomics core facility (Biogenouest). J.F. acknowledges Sandrine Bouchet for a continuous essential assistance. Middle East Technical University , Scientific Research Projects Coordination Unit with grant # BAP-07-02-2017-004-077 is also acknowledged.en_US
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.relation.ispartofLWT - Food Science and Technologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural network (ANN)en_US
dc.subjectBenchtop NMR spectroscopyen_US
dc.subjectClassificationen_US
dc.subjectFlow NMRen_US
dc.subjectLactose hydrolysisen_US
dc.subjectMilken_US
dc.titleMulti-scale benchtop 1H NMR spectroscopy for milk analysisen_US
dc.typeArticleen_US
dc.institutionauthorÇavdaroğlu, Çağrı-
dc.departmentİzmir Institute of Technology. Food Engineeringen_US
dc.identifier.wosWOS:000613931800057en_US
dc.identifier.scopus2-s2.0-85096505818en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.lwt.2020.110557-
dc.relation.doi10.1016/j.lwt.2020.110557en_US
dc.coverage.doi10.1016/j.lwt.2020.110557en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeArticle-
item.cerifentitytypePublications-
crisitem.author.dept01. Izmir Institute of Technology-
Appears in Collections:Food Engineering / Gıda Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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