Multi-Scale Benchtop 1h Nmr Spectroscopy for Milk Analysis

dc.contributor.author Söyler, Alper
dc.contributor.author Çıkrıkçı, Sevil
dc.contributor.author Çavdaroğlu, Çağrı
dc.contributor.author Bouillaud, Dylan
dc.contributor.author Farjon, Jonathan
dc.contributor.author Giraudeau, Patrick
dc.contributor.author Öztop, Mecit H.
dc.coverage.doi 10.1016/j.lwt.2020.110557
dc.date.accessioned 2021-01-24T18:33:11Z
dc.date.available 2021-01-24T18:33:11Z
dc.date.issued 2021
dc.description.abstract Benchtop 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 Ltd en_US
dc.description.sponsorship Alper 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.identifier.doi 10.1016/j.lwt.2020.110557 en_US
dc.identifier.issn 0023-6438
dc.identifier.issn 1096-1127
dc.identifier.scopus 2-s2.0-85096505818
dc.identifier.uri https://doi.org/10.1016/j.lwt.2020.110557
dc.identifier.uri https://hdl.handle.net/11147/10237
dc.language.iso en en_US
dc.publisher Academic Press en_US
dc.relation.ispartof LWT - Food Science and Technology en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Artificial neural network (ANN) en_US
dc.subject Benchtop NMR spectroscopy en_US
dc.subject Classification en_US
dc.subject Flow NMR en_US
dc.subject Lactose hydrolysis en_US
dc.subject Milk en_US
dc.title Multi-Scale Benchtop 1h Nmr Spectroscopy for Milk Analysis en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Çavdaroğlu, Çağrı
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Food Engineering en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 139
gdc.description.wosquality Q1
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gdc.oaire.sciencefields 0404 agricultural biotechnology
gdc.oaire.sciencefields 04 agricultural and veterinary sciences
gdc.oaire.sciencefields 0405 other agricultural sciences
gdc.openalex.collaboration International
gdc.openalex.fwci 1.22344901
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gdc.opencitations.count 13
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