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Merete Edelenbos

Prediction of Starch, Soluble Sugars and Amino Acids in Potatoes (Solanum tuberosum L.) Using Hyperspectral Imaging, Dielectric and LF-NMR Methodologies

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Prediction of Starch, Soluble Sugars and Amino Acids in Potatoes (Solanum tuberosum L.) Using Hyperspectral Imaging, Dielectric and LF-NMR Methodologies. / Kjær, Anders; Nielsen, Glenn; Stærke, Søren; Clausen, Morten Rahr; Edelenbos, Merete; Jørgensen, Bjarke.

In: Potato Research, Vol. 59, No. 4, 12.2016, p. 357-374.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Kjær, Anders ; Nielsen, Glenn ; Stærke, Søren ; Clausen, Morten Rahr ; Edelenbos, Merete ; Jørgensen, Bjarke. / Prediction of Starch, Soluble Sugars and Amino Acids in Potatoes (Solanum tuberosum L.) Using Hyperspectral Imaging, Dielectric and LF-NMR Methodologies. In: Potato Research. 2016 ; Vol. 59, No. 4. pp. 357-374.

Bibtex

@article{7ec6fcd0f9e7451eadf699b1ccc08d6b,
title = "Prediction of Starch, Soluble Sugars and Amino Acids in Potatoes (Solanum tuberosum L.) Using Hyperspectral Imaging, Dielectric and LF-NMR Methodologies",
abstract = "Handling and processing of potatoes is performed in increasingly large and more automated facilities, and the industry calls for more automated machinery for quality assessment and sorting by concentration of starch, soluble sugars, protein, amino acids etc. of the potato tubers. The present study was designed to evaluate five different scanning methods for their potential use in potato assessment and sorting. Two methods were based on hyperspectral imaging, two were based on dielectric/bio-impedance and one was based on low-field nuclear magnetic resonance. A set of 60 potatoes of 10 different cultivars were simultaneously sampled for analyses of content and scanned by the five different scanning methods. The resulting multivariate dataset was used to estimate the prediction ability of the individual scanning methods on starch-related parameters, selected simple sugars, selected amino acids, conductivity of pressed cell sap and cell sizes. Results showed that most types of spectral analyses had relatively high potential for predicting the starch-related parameters and medium potential for predicting the concentration of the reducing sugars fructose and glucose. Most methods showed medium potential for prediction of several amino acids, including asparagine, which showed particularly promising predictions in the hyperspectral analyses of intact potatoes. The presented screening study enabled us to perform robust choices for the further development and optimization of the methods and instruments for industrial implementation.",
keywords = "Amino acids, Dielectric function, Hyperspectral imaging, LF-NMR, Starch, Sugars, Amino Acids, dielectric function, Hyperspectral imaging, LF-NMR, starch sugars",
author = "Anders Kj{\ae}r and Glenn Nielsen and S{\o}ren St{\ae}rke and Clausen, {Morten Rahr} and Merete Edelenbos and Bjarke J{\o}rgensen",
year = "2016",
month = dec,
doi = "10.1007/s11540-017-9335-2",
language = "English",
volume = "59",
pages = "357--374",
journal = "Potato Research",
issn = "0014-3065",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Prediction of Starch, Soluble Sugars and Amino Acids in Potatoes (Solanum tuberosum L.) Using Hyperspectral Imaging, Dielectric and LF-NMR Methodologies

AU - Kjær, Anders

AU - Nielsen, Glenn

AU - Stærke, Søren

AU - Clausen, Morten Rahr

AU - Edelenbos, Merete

AU - Jørgensen, Bjarke

PY - 2016/12

Y1 - 2016/12

N2 - Handling and processing of potatoes is performed in increasingly large and more automated facilities, and the industry calls for more automated machinery for quality assessment and sorting by concentration of starch, soluble sugars, protein, amino acids etc. of the potato tubers. The present study was designed to evaluate five different scanning methods for their potential use in potato assessment and sorting. Two methods were based on hyperspectral imaging, two were based on dielectric/bio-impedance and one was based on low-field nuclear magnetic resonance. A set of 60 potatoes of 10 different cultivars were simultaneously sampled for analyses of content and scanned by the five different scanning methods. The resulting multivariate dataset was used to estimate the prediction ability of the individual scanning methods on starch-related parameters, selected simple sugars, selected amino acids, conductivity of pressed cell sap and cell sizes. Results showed that most types of spectral analyses had relatively high potential for predicting the starch-related parameters and medium potential for predicting the concentration of the reducing sugars fructose and glucose. Most methods showed medium potential for prediction of several amino acids, including asparagine, which showed particularly promising predictions in the hyperspectral analyses of intact potatoes. The presented screening study enabled us to perform robust choices for the further development and optimization of the methods and instruments for industrial implementation.

AB - Handling and processing of potatoes is performed in increasingly large and more automated facilities, and the industry calls for more automated machinery for quality assessment and sorting by concentration of starch, soluble sugars, protein, amino acids etc. of the potato tubers. The present study was designed to evaluate five different scanning methods for their potential use in potato assessment and sorting. Two methods were based on hyperspectral imaging, two were based on dielectric/bio-impedance and one was based on low-field nuclear magnetic resonance. A set of 60 potatoes of 10 different cultivars were simultaneously sampled for analyses of content and scanned by the five different scanning methods. The resulting multivariate dataset was used to estimate the prediction ability of the individual scanning methods on starch-related parameters, selected simple sugars, selected amino acids, conductivity of pressed cell sap and cell sizes. Results showed that most types of spectral analyses had relatively high potential for predicting the starch-related parameters and medium potential for predicting the concentration of the reducing sugars fructose and glucose. Most methods showed medium potential for prediction of several amino acids, including asparagine, which showed particularly promising predictions in the hyperspectral analyses of intact potatoes. The presented screening study enabled us to perform robust choices for the further development and optimization of the methods and instruments for industrial implementation.

KW - Amino acids

KW - Dielectric function

KW - Hyperspectral imaging

KW - LF-NMR

KW - Starch

KW - Sugars

KW - Amino Acids

KW - dielectric function

KW - Hyperspectral imaging

KW - LF-NMR

KW - starch sugars

UR - http://www.scopus.com/inward/record.url?scp=85011269462&partnerID=8YFLogxK

U2 - 10.1007/s11540-017-9335-2

DO - 10.1007/s11540-017-9335-2

M3 - Journal article

AN - SCOPUS:85011269462

VL - 59

SP - 357

EP - 374

JO - Potato Research

JF - Potato Research

SN - 0014-3065

IS - 4

ER -