High-throughput determination of oil content in corn kernels using nuclear magnetic resonance Imaging

John J. Kotyk; Marty D. Pagel; Kevin L. Deppermann; Ronald F. Colletti; Norman G. Hoffman; Elias J. Yannakakis; Pradip K. Das; Joseph J.H. Ackerman

doi:10.1007/s11746-005-1155-5

High-throughput determination of oil content in corn kernels using nuclear magnetic resonance Imaging

John J. Kotyk, Marty D. Pagel, Kevin L. Deppermann, Ronald F. Colletti, Norman G. Hoffman, Elias J. Yannakakis, Pradip K. Das, Joseph J.H. Ackerman

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

A new high-throughput method for measuring oil content in intact, single corn kernels is demonstrated using nuclear magnetic resonance imaging (MRI) methods. This nonde-structive technique enables the evaluation of relative oil content in up to 2,592 corn kernels in less than 40 min using a 1.5 T clinical MRI scanner. Custom software was developed to process and analyze 3-D magnetic resonance (MR) image data rapidly. The precision and accuracy of the MR method for measuring oil content are discussed. The precision of the MRI results is shown to be dependent on MR scanner noise. The MRI results show very good relative accuracy compared with low-field NMR, NIR transmission, and accelerated solvent extraction measurements. Minor differences between the MRI and low-field NMR experimental protocols were shown to be inconsequential to the oil content measurement. Extending the MRI method to the analysis of other oilseeds and/or the use of other magnetic field strengths is discussed, as is a comparison of this MRI method relative to other high-throughput magnetic resonance screening techniques.

Original language	English (US)
Pages (from-to)	855-862
Number of pages	8
Journal	JAOCS, Journal of the American Oil Chemists' Society
Volume	82
Issue number	12
DOIs	https://doi.org/10.1007/s11746-005-1155-5
State	Published - 2005
Externally published	Yes

Keywords

High-throughput
Intact seed
MRI
Magnetic resonance imaging
Nondestructive
Proximate oil

ASJC Scopus subject areas

General Chemical Engineering
Organic Chemistry

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10.1007/s11746-005-1155-5

Cite this

@article{84bea93965ef40ff896da8c92a3578fd,

title = "High-throughput determination of oil content in corn kernels using nuclear magnetic resonance Imaging",

abstract = "A new high-throughput method for measuring oil content in intact, single corn kernels is demonstrated using nuclear magnetic resonance imaging (MRI) methods. This nonde-structive technique enables the evaluation of relative oil content in up to 2,592 corn kernels in less than 40 min using a 1.5 T clinical MRI scanner. Custom software was developed to process and analyze 3-D magnetic resonance (MR) image data rapidly. The precision and accuracy of the MR method for measuring oil content are discussed. The precision of the MRI results is shown to be dependent on MR scanner noise. The MRI results show very good relative accuracy compared with low-field NMR, NIR transmission, and accelerated solvent extraction measurements. Minor differences between the MRI and low-field NMR experimental protocols were shown to be inconsequential to the oil content measurement. Extending the MRI method to the analysis of other oilseeds and/or the use of other magnetic field strengths is discussed, as is a comparison of this MRI method relative to other high-throughput magnetic resonance screening techniques.",

keywords = "High-throughput, Intact seed, MRI, Magnetic resonance imaging, Nondestructive, Proximate oil",

author = "Kotyk, {John J.} and Pagel, {Marty D.} and Deppermann, {Kevin L.} and Colletti, {Ronald F.} and Hoffman, {Norman G.} and Yannakakis, {Elias J.} and Das, {Pradip K.} and Ackerman, {Joseph J.H.}",

note = "Funding Information: Early experiments providing preliminary data supporting the utility of the methods described herein were performed at the Biomedical MR Laboratory (BMRL) of Washington University in St. Louis. In recognition of this support, we gratefully acknowledge the assistance and consultation of Joseph J.H. Ackerman and other members of the BMRL. The authors thank Glenn Foster of the Washington University School of Medicine, and Michael Crowley of the St. Louis Children{\textquoteright}s Hospital, for helpful discussions and access to clinical MRI instrumentation. A special thanks goes to Ross Braught for assistance with sample preparation and data acquisition. This work was supported through funding from Monsanto Company and Renessen, Inc.",

year = "2005",

doi = "10.1007/s11746-005-1155-5",

language = "English (US)",

volume = "82",

pages = "855--862",

journal = "JAOCS, Journal of the American Oil Chemists' Society",

issn = "0003-021X",

publisher = "Russell Palmer",

number = "12",

}

TY - JOUR

T1 - High-throughput determination of oil content in corn kernels using nuclear magnetic resonance Imaging

AU - Kotyk, John J.

AU - Pagel, Marty D.

AU - Deppermann, Kevin L.

AU - Colletti, Ronald F.

AU - Hoffman, Norman G.

AU - Yannakakis, Elias J.

AU - Das, Pradip K.

AU - Ackerman, Joseph J.H.

N1 - Funding Information: Early experiments providing preliminary data supporting the utility of the methods described herein were performed at the Biomedical MR Laboratory (BMRL) of Washington University in St. Louis. In recognition of this support, we gratefully acknowledge the assistance and consultation of Joseph J.H. Ackerman and other members of the BMRL. The authors thank Glenn Foster of the Washington University School of Medicine, and Michael Crowley of the St. Louis Children’s Hospital, for helpful discussions and access to clinical MRI instrumentation. A special thanks goes to Ross Braught for assistance with sample preparation and data acquisition. This work was supported through funding from Monsanto Company and Renessen, Inc.

PY - 2005

Y1 - 2005

N2 - A new high-throughput method for measuring oil content in intact, single corn kernels is demonstrated using nuclear magnetic resonance imaging (MRI) methods. This nonde-structive technique enables the evaluation of relative oil content in up to 2,592 corn kernels in less than 40 min using a 1.5 T clinical MRI scanner. Custom software was developed to process and analyze 3-D magnetic resonance (MR) image data rapidly. The precision and accuracy of the MR method for measuring oil content are discussed. The precision of the MRI results is shown to be dependent on MR scanner noise. The MRI results show very good relative accuracy compared with low-field NMR, NIR transmission, and accelerated solvent extraction measurements. Minor differences between the MRI and low-field NMR experimental protocols were shown to be inconsequential to the oil content measurement. Extending the MRI method to the analysis of other oilseeds and/or the use of other magnetic field strengths is discussed, as is a comparison of this MRI method relative to other high-throughput magnetic resonance screening techniques.

AB - A new high-throughput method for measuring oil content in intact, single corn kernels is demonstrated using nuclear magnetic resonance imaging (MRI) methods. This nonde-structive technique enables the evaluation of relative oil content in up to 2,592 corn kernels in less than 40 min using a 1.5 T clinical MRI scanner. Custom software was developed to process and analyze 3-D magnetic resonance (MR) image data rapidly. The precision and accuracy of the MR method for measuring oil content are discussed. The precision of the MRI results is shown to be dependent on MR scanner noise. The MRI results show very good relative accuracy compared with low-field NMR, NIR transmission, and accelerated solvent extraction measurements. Minor differences between the MRI and low-field NMR experimental protocols were shown to be inconsequential to the oil content measurement. Extending the MRI method to the analysis of other oilseeds and/or the use of other magnetic field strengths is discussed, as is a comparison of this MRI method relative to other high-throughput magnetic resonance screening techniques.

KW - High-throughput

KW - Intact seed

KW - MRI

KW - Magnetic resonance imaging

KW - Nondestructive

KW - Proximate oil

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ER -

High-throughput determination of oil content in corn kernels using nuclear magnetic resonance Imaging

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Keywords

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