Matrix effects in biological mass spectrometry imaging: Identification and compensation

Ingela Lanekoff, Susan L. Stevens, Mary Stenzel-Poore, Julia Laskin

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition. This journal is

Original languageEnglish (US)
Pages (from-to)3528-3532
Number of pages5
JournalAnalyst
Volume139
Issue number14
DOIs
StatePublished - Jul 21 2014

Fingerprint

Mass spectrometry
Middle Cerebral Artery Infarction
Mass Spectrometry
mass spectrometry
Phosphatidylcholines
Tissue
Potassium
Imaging techniques
matrix
Sodium
Brain
Alkali Metals
potassium
Electrospray ionization
sodium
Electrospray Ionization Mass Spectrometry
Alkali metals
Biological systems
Chemical analysis
brain

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Electrochemistry
  • Biochemistry
  • Environmental Chemistry

Cite this

Matrix effects in biological mass spectrometry imaging : Identification and compensation. / Lanekoff, Ingela; Stevens, Susan L.; Stenzel-Poore, Mary; Laskin, Julia.

In: Analyst, Vol. 139, No. 14, 21.07.2014, p. 3528-3532.

Research output: Contribution to journalArticle

Lanekoff, Ingela ; Stevens, Susan L. ; Stenzel-Poore, Mary ; Laskin, Julia. / Matrix effects in biological mass spectrometry imaging : Identification and compensation. In: Analyst. 2014 ; Vol. 139, No. 14. pp. 3528-3532.
@article{229b8087c0b740789c54d987e5d2d610,
title = "Matrix effects in biological mass spectrometry imaging: Identification and compensation",
abstract = "Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition. This journal is",
author = "Ingela Lanekoff and Stevens, {Susan L.} and Mary Stenzel-Poore and Julia Laskin",
year = "2014",
month = "7",
day = "21",
doi = "10.1039/c4an00504j",
language = "English (US)",
volume = "139",
pages = "3528--3532",
journal = "The Analyst",
issn = "0003-2654",
publisher = "Royal Society of Chemistry",
number = "14",

}

TY - JOUR

T1 - Matrix effects in biological mass spectrometry imaging

T2 - Identification and compensation

AU - Lanekoff, Ingela

AU - Stevens, Susan L.

AU - Stenzel-Poore, Mary

AU - Laskin, Julia

PY - 2014/7/21

Y1 - 2014/7/21

N2 - Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition. This journal is

AB - Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model to examine matrix effects in nanospray desorption electrospray ionization MSI (nano-DESI MSI). This is achieved by normalizing the intensity of the sodium and potassium adducts of endogenous phosphatidylcholine (PC) species to the intensity of the corresponding adduct of the PC standard supplied at a constant rate with the nano-DESI solvent. The use of MCAO model with an ischemic region localized to one hemisphere of the brain enables immediate comparison of matrix effects within one ion image. Furthermore, significant differences in sodium and potassium concentrations in the ischemic region in comparison with the healthy tissue allowed us to distinguish between two types of matrix effects. Specifically, we discuss matrix effects originating from variations in alkali metal concentrations and matrix effects originating from variations in the molecular composition of the tissue. Compensation for both types of matrix effects was achieved by normalizing the signals corresponding to endogenous PC to the signals of the standards. This approach, which does not introduce any complexity in sample preparation, efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition. This journal is

UR - http://www.scopus.com/inward/record.url?scp=84902438264&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902438264&partnerID=8YFLogxK

U2 - 10.1039/c4an00504j

DO - 10.1039/c4an00504j

M3 - Article

C2 - 24802717

AN - SCOPUS:84902438264

VL - 139

SP - 3528

EP - 3532

JO - The Analyst

JF - The Analyst

SN - 0003-2654

IS - 14

ER -