2014
DOI: 10.3389/fpls.2014.00039
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Spectral analysis combined with advanced linear unmixing allows for histolocalization of phenolics in leaves of coffee trees

Abstract: An imaging method using spectral analysis combined with advanced linear unmixing was used to allow histolocalization of natural autofluorescent compounds such as hydroxycinnamic acid (chlorogenic acid) and xanthone (mangiferin) in living cells and tissues (mature coffee leaves). The tested method included three complementary steps: 1/ visualization of natural autofluorescence and spectrum acquisition with a multiphoton microscope; 2/ identification of some compounds using previous information on the chemical c… Show more

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Cited by 26 publications
(23 citation statements)
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“…In many cases, they are involved in biotic or abiotic interactions of plants with their environment (Bellow et al 2012). Thus, the fluorometric detection of these compounds can be used for the qualitative study of their role and dynamics in plant cells, as has been shown for coffee tree leaves, which were subjected to the spectral analysis focused on the histochemical differentiation of those leaves (Conéjéro et al 2014). …”
Section: Discussionmentioning
confidence: 99%
“…In many cases, they are involved in biotic or abiotic interactions of plants with their environment (Bellow et al 2012). Thus, the fluorometric detection of these compounds can be used for the qualitative study of their role and dynamics in plant cells, as has been shown for coffee tree leaves, which were subjected to the spectral analysis focused on the histochemical differentiation of those leaves (Conéjéro et al 2014). …”
Section: Discussionmentioning
confidence: 99%
“…For example, classical fluorescent techniques are based on the molecule chromophore, where metabolites are only differentiated with their emission wavelength (i.e. flavonoids and terpenoids at 525 nm approximately), so it appears to be a nonselective targeting [13][14][15]. More recently, Mass Spectrometry Imaging (MSI) has become a powerful tool to assess the spatial distribution of metabolites in organisms [16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Their protocol involves twophoton excitation, spectral characterization of pure chemicals and advanced linear unmixing. Conejero et al (2014) are able to follow the amount and distribution of key phenolic compounds throughout the development of leaves of various Coffea species. By obviating the need for any staining, truly noninvasive histochemical analysis based on quantitative imaging is achieved.…”
mentioning
confidence: 99%
“…New spectroscopic techniques for label-free imaging to investigate plant physiology are presented by Peter et al (2014) and Conejero et al (2014). Peter et al (2014) use spectro-microscopy and Statistical Analysis of Room Temperature Emission Spectra (SART) to characterize in vivo function of photosystems PSI and PSII in chloroplasts.…”
mentioning
confidence: 99%
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