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- Caro, D. DiUniv. of Salerno (author)
Hazelnut Oil Classification by NMR Techniques
- Article/chapterEnglish2017
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- 2017
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:miun-33330
- https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33330URI
- https://doi.org/10.1109/TIM.2016.2640438DOI
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- Language:English
- Summary in:English
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- 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.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering hsv//eng
- 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)
Added entries (persons, corporate bodies, meetings, titles ...)
- Liguori, ConsolatinaUniv. of Salerno(Swepub:miun)conlig (author)
- Pietrosanto, A.Univ. of Salerno (author)
- Sommella, P.Univ. of Salerno (author)
- Univ. of Salerno (creator_code:org_t)
Related titles
- In:IEEE Transactions on Instrumentation and Measurement66:5, s. 928-9340018-94561557-9662
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