miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Using a SVD-based algorithm for T2 spectrum calculation in TD-NMR application to detect hidden defects in hazelnuts
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: 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2017, p. 1-6Conference paper (Refereed)
Abstract [en]

Hazelnuts are widely used into the confectionary industry for their flavour and taste. Nondestructive techniques are required to detect the quality of the nuts in shell with the aim of avoiding putting a poor product into the market chain. In this work, Time Domain - NMR (TD-NMR) has been employed to detect hidden defects in hazelnuts in shell. In particular, the Carr-Purcell-Meiboom-Gill (CPMG) technique has been used to evaluate the transverse relaxation times, T<sub>2</sub>, for healthy and unhealthy hazelnuts, highlighting the differences between them. An index that takes in account the different time constants of the transverse relaxation curve has been defined to establish a classification method for the hazelnuts. The results of this work provide a basis for the development of a measurement system for inline inspection of hazelnuts in shell.

Place, publisher, year, edition, pages
2017. p. 1-6
Keyword [en]
agricultural products, flaw detection, food products, nuclear magnetic resonance, quality control, singular value decomposition, spectral analysis, Carr-Purcell-Meiboom-Gill technique, SVD based algorithm, T2 spectrum calculation, TD-NMR application, confectionary industry, hazelnut hidden defect detection, market chain, time domain NMR, transverse relaxation times, unhealthy hazelnut, Erbium, Instrumentation and measurement, NMR, defect detection, digital signal processing, food quality, multi-exponential inversion
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-33324DOI: 10.1109/I2MTC.2017.7969849OAI: oai:DiVA.org:miun-33324DiVA, id: diva2:1192259
Conference
2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Liguori, Consolatina
By organisation
Department of Electronics Design
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf