2015
DOI: 10.1007/s11101-015-9416-2
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The potential of mass spectrometry imaging in plant metabolomics: a review

Abstract: Imaging mass spectrometry (MSI) has contributed important information to several scientific fields and more recently to the biological sciences. The use of MSI as an investigative tool for plant metabolomics has recently been explored and initial results show a promising direction that plant metabolomics could be heading to with the use of these mass directed imaging techniques. Matrix assisted laser desorption ionisation (MALDI), secondary ion mass spectrometry and desorption electrospray ionisation mass spec… Show more

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Cited by 69 publications
(28 citation statements)
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“…Several methodologies have been used for this purpose, such as isotopic labeling ( 15 N and 14 C), radioactive labeling, electron and transmission electron microscopy, normal and fluorescence microscopy, laser-scanning microscopy, nuclear magnetic resonance, gamma irradiation detection, and imaging techniques based on positron emission tomography and matrix assisted laser desorption ionization mass spectrometry (MALDI-MS). [9][10][11][12][13] However, some of these methodologies are expensive, laborious and/or time consuming. Moreover, none of them present similar performance comparing to desorption electrospray ionization mass spectrometry imaging (DESI-MSI) regarding the huge amount of information potentially attainable in a quite short period of time.…”
Section: Introductionmentioning
confidence: 99%
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“…Several methodologies have been used for this purpose, such as isotopic labeling ( 15 N and 14 C), radioactive labeling, electron and transmission electron microscopy, normal and fluorescence microscopy, laser-scanning microscopy, nuclear magnetic resonance, gamma irradiation detection, and imaging techniques based on positron emission tomography and matrix assisted laser desorption ionization mass spectrometry (MALDI-MS). [9][10][11][12][13] However, some of these methodologies are expensive, laborious and/or time consuming. Moreover, none of them present similar performance comparing to desorption electrospray ionization mass spectrometry imaging (DESI-MSI) regarding the huge amount of information potentially attainable in a quite short period of time.…”
Section: Introductionmentioning
confidence: 99%
“…13,28 A couple of publications dealing with the application of DESI-MSI on plant metabolomics have also been reported, including unprecedented information regarding physiological role and metabolites distribution. 20 For instance, some interesting studies dealing with this subject have been conducted, such as: (i) monitoring of metabolic changes in sprout that result from a pathogen invasion; 29 (ii) detection of chlorophyll degradation products in senescent plants; 30 (iii) distribution of metabolites (mainly long chain fatty acids) in leaves, flower cuticles, and petals; 20 (iv) distribution of pesticides on the surface of leaves and in cross sections of plant stem and leaves; 31 (v) elucidation of marine natural product defenses.…”
Section: Introductionmentioning
confidence: 99%
“…It is noteworthy that imaging MS is more often used for metabolites/lipids/small molecules rather than for proteins/peptides. MSI has been widely implemented in plant metabolomics research . Resurgence in MALDI‐MS based, LDI, desorption electrospray ionization (DESI) and laser ablation electrospray ionization (LAESI) MS based tissue imaging has also led to new software.…”
Section: Msi Toolsmentioning
confidence: 99%
“…Introduced by Spengler et al (1994) and Caprioli et al (1997), the technique was first used to visualize peptides and proteins in animal tissue sections. Investigations of plant tissues with MALDI-MSI are increasing, and recent reviews provide an excellent overview of its applications (Svatoš, 2010;Matros and Mock, 2013;Bartels and Svatoš, 2015;Boughton et al, 2016;Heyman and Dubery, 2016). Investigations of plant tissues with MALDI-MSI are increasing, and recent reviews provide an excellent overview of its applications (Svatoš, 2010;Matros and Mock, 2013;Bartels and Svatoš, 2015;Boughton et al, 2016;Heyman and Dubery, 2016).…”
Section: Commentary Background Informationmentioning
confidence: 99%