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Hazelnut Oil Classification by NMR Techniques
Univ. of Salerno.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. Univ. of Salerno.
Univ. of Salerno.
Univ. of Salerno.
2017 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 66, no 5, p. 928-934Article in journal (Refereed) Published
Abstract [en]

Nuclear magnetic resonance (NMR) has been widely used in chemical analysis and medical diagnosis. In recent years, thanks to the development of the NMR instrumentation and the software for data analysis, it is becoming a useful tool for quality control in the food industry. In this field, several applications have been developed related to the compositional and structural analysis, authentication, packaging, and on-line monitoring. This paper highlights the capability of NMR to discern between the oil extracted from healthy and unhealthy hazelnuts, as a preliminary step toward the automatic detection of the hidden defects in full hazelnuts. Different processing techniques are analyzed on the CPMG response in order to set up the final measurement system.

Place, publisher, year, edition, pages
2017. Vol. 66, no 5, p. 928-934
Keywords [en]
essential oils, food processing industry, nuclear magnetic resonance, quality control, CPMG response, NMR instrumentation, NMR techniques, food industry, hazelnut oil classification, Instruments, Magnetic resonance imaging, Radio frequency, Defect detection, digital signal processing, food quality, multiexponential inversion, nuclear magnetic resonance (NMR)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-33330DOI: 10.1109/TIM.2016.2640438ISI: 000399246000009Scopus ID: 2-s2.0-85008428277OAI: oai:DiVA.org:miun-33330DiVA, id: diva2:1192281
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-09-05Bibliographically approved

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