2022
DOI: 10.1021/jasms.1c00367
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Analysis of Gliricidia sepium Leaves by MALDI Mass Spectrometry Imaging

Abstract: When investigating the potential use of plants as a raw material for an all-natural cosmetic formulation, the main parameters are the chemical composition, antioxidant potential, antimicrobial action, and toxicity. Additionally, the production of natural cosmetics should also consider the availability of primary materials and the environmental and socioeconomic impact. Gliricidia sepium is a species that produces a large amount of plant material, being cultivated in the agroforestry system. However, studies of… Show more

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Cited by 4 publications
(3 citation statements)
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“…MALDI IMS is a technology that has advanced our understanding of the adaptation, acclimation, and defense responses to environmental stresses of plants, , fungi, and bacteria . Very interesting studies have been published, including the spatial distribution of alkaloids in Erythroxylum coca leaves, the distribution of metabolites within soybean nodules, the symbiotic association between nitrogen-fixing soil bacteria ( Rhizobiaceae ) and plants of the family Leguminosa e (Figure ), and the phytochemical analysis that G. sepium leaves are composed of polyphenols and tannins, investigating the potential use of plants as a raw material for an all-natural cosmetic formulation …”
Section: Non-tissue Maldi Ims Applications: Plants Bacteria and Fungimentioning
confidence: 99%
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“…MALDI IMS is a technology that has advanced our understanding of the adaptation, acclimation, and defense responses to environmental stresses of plants, , fungi, and bacteria . Very interesting studies have been published, including the spatial distribution of alkaloids in Erythroxylum coca leaves, the distribution of metabolites within soybean nodules, the symbiotic association between nitrogen-fixing soil bacteria ( Rhizobiaceae ) and plants of the family Leguminosa e (Figure ), and the phytochemical analysis that G. sepium leaves are composed of polyphenols and tannins, investigating the potential use of plants as a raw material for an all-natural cosmetic formulation …”
Section: Non-tissue Maldi Ims Applications: Plants Bacteria and Fungimentioning
confidence: 99%
“…198 Very interesting studies have been published, including the spatial distribution of alkaloids in Erythroxylum coca leaves, 199 the distribution of metabolites within soybean nodules, the symbiotic association between nitrogen-fixing soil bacteria (Rhizobiaceae) and plants of the family Leguminosae (Figure 6), 200 and the phytochemical analysis that G. sepium leaves are composed of polyphenols and tannins, investigating the potential use of plants as a raw material for an all-natural cosmetic formulation. 201 Over the years the increasing number of MALDI IMS publications in microbiology, underlines its popularity, due to its ability to simultaneously detect biomolecules, as well as their spatial distribution, in complex samples. 202−204 The first study showing the metabolic exchange between an organism and the environment, was in 2009 by Yang et al, and they investigated interspecies interactions between B. subtilis and S. coelicolor.…”
Section: Bacteria and Fungimentioning
confidence: 99%
“…Mass Spectrometry Imaging (MSI) is a powerful tool with the ability to acquire spatial and abundance information directly from a sample for visualization of chemical signatures with sample morphology. Various IR-based MSI platforms have explored endogenous metabolites in diverse mammalian tissues yielding benefits such as high spatial resolution and signal intensities, but MSI is not as readily employed with plants. Over the years, MSI platforms such as MALDI, DESI, and LAESI have been utilized in plant studies for different biological applications, although the incorporation of laser optics has been relatively underexplored in the field of plant analysis by MSI. A reflective objective has been integrated into the optical path in a preceding study, but not with comparison to multiple optics.…”
Section: Introductionmentioning
confidence: 99%