High Throughput Identification and Quantification of Phospholipids in Complex Mixtures

Nicholas Mcleod Balsgart; Mette Mulbjerg; Zheng Guo; Kresten Bertelsen; Thomas Vosegaard

doi:10.1021/acs.analchem.5b03798

High Throughput Identification and Quantification of Phospholipids in Complex Mixtures

Nicholas Mcleod Balsgart, Mette Mulbjerg, Zheng Guo, Kresten Bertelsen, Thomas Vosegaard

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

28 Citations (Scopus)

Abstract

We present a fully automatic method, autoP, for identification and quantification of lipids in complex lipid mixtures from 1D ³¹P and 2D ¹H- ³¹P NMR spectra. The ³¹P chemical shifts in lipids are highly sensitive to experimental conditions such as pH and temperature, so the present method uses the much more unambiguous ¹H chemical shifts for assignment and ³¹P intensities for quantification. By using 2D ¹H- ³¹P total correlation spectroscopy (TOCSY) correlation experiments, we demonstrate that approximately 20 different lipids can be automatically and unambiguously assigned and quantified by this automatic method.

Original language	English
Journal	Analytical Chemistry
Volume	88
Issue	4
Pages (from-to)	2170-2176
Number of pages	7
ISSN	0003-2700
DOIs	https://doi.org/10.1021/acs.analchem.5b03798
Publication status	Published - 16 Feb 2016

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title = "High Throughput Identification and Quantification of Phospholipids in Complex Mixtures",

abstract = "We present a fully automatic method, autoP, for identification and quantification of lipids in complex lipid mixtures from 1D 31P and 2D 1H- 31P NMR spectra. The 31P chemical shifts in lipids are highly sensitive to experimental conditions such as pH and temperature, so the present method uses the much more unambiguous 1H chemical shifts for assignment and 31P intensities for quantification. By using 2D 1H- 31P total correlation spectroscopy (TOCSY) correlation experiments, we demonstrate that approximately 20 different lipids can be automatically and unambiguously assigned and quantified by this automatic method.",

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T1 - High Throughput Identification and Quantification of Phospholipids in Complex Mixtures

AU - Balsgart, Nicholas Mcleod

AU - Mulbjerg, Mette

AU - Guo, Zheng

AU - Bertelsen, Kresten

AU - Vosegaard, Thomas

PY - 2016/2/16

Y1 - 2016/2/16

N2 - We present a fully automatic method, autoP, for identification and quantification of lipids in complex lipid mixtures from 1D 31P and 2D 1H- 31P NMR spectra. The 31P chemical shifts in lipids are highly sensitive to experimental conditions such as pH and temperature, so the present method uses the much more unambiguous 1H chemical shifts for assignment and 31P intensities for quantification. By using 2D 1H- 31P total correlation spectroscopy (TOCSY) correlation experiments, we demonstrate that approximately 20 different lipids can be automatically and unambiguously assigned and quantified by this automatic method.

AB - We present a fully automatic method, autoP, for identification and quantification of lipids in complex lipid mixtures from 1D 31P and 2D 1H- 31P NMR spectra. The 31P chemical shifts in lipids are highly sensitive to experimental conditions such as pH and temperature, so the present method uses the much more unambiguous 1H chemical shifts for assignment and 31P intensities for quantification. By using 2D 1H- 31P total correlation spectroscopy (TOCSY) correlation experiments, we demonstrate that approximately 20 different lipids can be automatically and unambiguously assigned and quantified by this automatic method.

UR - http://www.scopus.com/inward/record.url?scp=84958259663&partnerID=8YFLogxK

U2 - 10.1021/acs.analchem.5b03798

DO - 10.1021/acs.analchem.5b03798

M3 - Journal article

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VL - 88

SP - 2170

EP - 2176

JO - Analytical Chemistry

JF - Analytical Chemistry

IS - 4

ER -

High Throughput Identification and Quantification of Phospholipids in Complex Mixtures

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