Understanding the Formation of Heartwood in Larch Using Synchrotron Infrared Imaging Combined With Multivariate Analysis and Atomic Force Microscope Infrared Spectroscopy

Piqueras, Sara; Füchtner, Sophie; Oliveira, Rodrigo Rocha de; Gómez-Sánchez, Adrián; Jelavić, Stanislav; Keplinger, Tobias; Juan, Anna de; Thygesen, Lisbeth Garbrecht

doi:10.3389/fpls.2019.01701

Cited by 30 publications

(18 citation statements)

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“…The correlation of the AFM morphological image, IR-sensitive images, the mechanical phase image enabled a deep understanding of mechanical properties together with the chemical components and structure of cell walls [ 64 ]. The nanoscale compositional variations in plant cell walls characterized by nanoscale IR spectroscopy were also used to interpret plant cell wall physiological phenomena, such as heartwood formation and water transport in the xylem [ 59 , 65 ]. The spectral variations at 1660 cm −1 and 1640 cm −1 in heartwood and sapwood were identified.…”

Section: Afm-ir and Ir S-snom Application In Cellulose Materialsmentioning

confidence: 99%

Recent Progress on the Characterization of Cellulose Nanomaterials by Nanoscale Infrared Spectroscopy

Zhu

Zhou

et al. 2021

Nanomaterials

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Researches of cellulose nanomaterials have seen nearly exponential growth over the past several decades for versatile applications. The characterization of nanostructural arrangement and local chemical distribution is critical to understand their role when developing cellulose materials. However, with the development of current characterization methods, the simultaneous morphological and chemical characterization of cellulose materials at nanoscale resolution is still challenging. Two fundamentally different nanoscale infrared spectroscopic techniques, namely atomic force microscope based infrared spectroscopy (AFM-IR) and infrared scattering scanning near field optical microscopy (IR s-SNOM), have been established by the integration of AFM with IR spectroscopy to realize nanoscale spatially resolved imaging for both morphological and chemical information. This review aims to summarize and highlight the recent developments in the applications of current state-of-the-art nanoscale IR spectroscopy and imaging to cellulose materials. It briefly outlines the basic principles of AFM-IR and IR s-SNOM, as well as their advantages and limitations to characterize cellulose materials. The uses of AFM-IR and IR s-SNOM for the understanding and development of cellulose materials, including cellulose nanomaterials, cellulose nanocomposites, and plant cell walls, are extensively summarized and discussed. The prospects of future developments in cellulose materials characterization are provided in the final part.

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Section: Afm-ir and Ir S-snom Application In Cellulose Materialsmentioning

confidence: 99%

Recent Progress on the Characterization of Cellulose Nanomaterials by Nanoscale Infrared Spectroscopy

Zhu

Zhou

et al. 2021

Nanomaterials

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“…The investigation of plant cells can give insights into cell wall composition and structure and has been used for studies on plants, particularly woods. [34][35][36] As another example, the investigation of biomineralization in plants has become a topic of great interest recently. [37][38][39][40][41][42] Plant cell walls consist mainly of cellulose, lignin and hemicellulose, as well as pectin.…”

Section: Motivation and Structure Of The Thesismentioning

confidence: 99%

“…Therefore, the chemical composition of different compartments, as well as the substructure of the tissue can be studied. 6,35,36,151 The Raman images can be analyzed using univariate approaches, by taking, e.g., the intensity of a certain band of each xy-position in a sampled area. In addition, multivariate approaches can help to elucidate the chemical composition of tissues.…”

Section: Raman Spectroscopy and Raman Mappingmentioning

confidence: 99%

Multivariate Raman mapping for phenotypic characterization in plant tissue sections

Liedtke

Diehn

Heiner

et al. 2021

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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The pre-processing and analysis of spectrometric and spectroscopic data of plant tissue are important in a wide variety of research areas, such as plant biology, agricultural science, and climate research. The focus of this thesis is the optimized utilization of data from plant tissues, which include matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS), Raman spectroscopy, and FTIR spectroscopy. The ability to attain a classification using these methods is compared, in particular after combination of the data with each other and with additional chemical and biological information. The discussed are concerned with the investigation and classification within a particular plant species, such as the distinction of samples from different populations, growth conditions, or tissue substructures. The samples comprise grass pollens from large greenhouse experiments and from environmental samples, as well as tissue sections of the species Sorghum bicolor and Cucumis sativus from dedicated physiological and ecological studies. In this way, several results of this work contribute directly to these projects. The data were analyzed by exploratory tools such as principal component analysis and hierarchical cluster analysis, as well as by predictive tools that included partial least square-discriminant analysis and machine learning approaches.Specifically, the results show that combination of the methods with additional plant-related information in a consensus principal component analysis leads to a comprehensive characterization of the samples. This was indicated by the discrimination of pollen from the grass species Poa alpina regarding different populations and environmental conditions. As another application of a multimodal analysis for classification, the combination of FTIR microspectra from individual pollen grains with their Raman mapping data and with MALDI-MS data of pollen extract is discussed. Moreover, as shown for Raman mapping data of tissue sections of Sorghum bicolor, the data of many Raman maps can be combined with other phenotypical data for an extensive insight into tissue biochemical composition. Moreover, some important problems of the individual methods with regard to non-relevant variances in the respective data sets are addressed. In the case of Raman microspectra, a high non-Raman based variance in the data set can be caused by a strong fluorescence background, as is discussed here for the spectra of individual pollen grains. On the other hand, FTIR microspectra of individual pollen grains display scattering artifacts, unless they are obtained from samples that are embedded in paraffin, which, in turn, leads to paraffin signals in the pollen spectra. In MALDI-MS imaging data, the extracts of pollen mixtures can overlap and lead to superposition of unknown origin and extent. Optimized data pre-treatment strategies are discussed for each of these problems. They include advanced baseline correction methods by asymmetric least squares, decomposition by non-negative matrix factorizati...

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“…IR imaging is useful in monitoring biochemical changes underlying the adaptive and defensive mechanisms employed by plants in response to external perturbations, e.g., pathogens. Synchrotron IR imaging combined with atomic force microscope infrared spectroscopy (AFM-IR) was recently employed for investigation of the formation of extractive-rich heartwood (HW) in live trees at cellular level ( Piqueras et al., 2020 ). The role of this natural mechanism is to increase tree’s resilience against fungal degradation; however, little was known before about the deposition pathways and the distribution of extractives.…”

Section: Applications Of Spectroscopic Imaging In Plant-oriented Studmentioning

confidence: 99%

“…1,640 cm -1 were identified. Several possibilities were suggested for interpreting this pattern, with type II (Juglans-type) process suggested as the most viable, where an underlying accumulation of phenolic precursors in the sapwood rays precedes extractives oxidation and condensation in the transition zone from which they spread to the neighboring HW cells ( Piqueras et al., 2020 ). Noteworthy, IR imaging provided valuable insight into the importance of the local environment on the response mechanisms at single-cell level ( Op De Beeck et al., 2020 ).…”

Section: Applications Of Spectroscopic Imaging In Plant-oriented Studmentioning

confidence: 99%

Principles and Applications of Vibrational Spectroscopic Imaging in Plant Science: A Review

et al. 2020

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Detailed knowledge about plant chemical constituents and their distributions from organ level to sub-cellular level is of critical interest to basic and applied sciences. Spectral imaging techniques offer unparalleled advantages in that regard. The core advantage of these technologies is that they acquire spatially distributed semi-quantitative information of high specificity towards chemical constituents of plants. This forms invaluable asset in the studies on plant biochemical and structural features. In certain applications, non-invasive analysis is possible. The information harvested through spectral imaging can be used for exploration of plant biochemistry, physiology, metabolism, classification, and phenotyping among others, with significant gains for basic and applied research. This article aims to present a general perspective about vibrational spectral imaging/micro-spectroscopy in the context of plant research. Within the scope of this review are infrared (IR), near-infrared (NIR) and Raman imaging techniques. To better expose the potential and limitations of these techniques, fluorescence imaging is briefly overviewed as a method relatively less flexible but particularly powerful for the investigation of photosynthesis. Included is a brief introduction to the physical, instrumental, and data-analytical background essential for the applications of imaging techniques. The applications are discussed on the basis of recent literature.

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Understanding the Formation of Heartwood in Larch Using Synchrotron Infrared Imaging Combined With Multivariate Analysis and Atomic Force Microscope Infrared Spectroscopy

Cited by 30 publications

References 84 publications

Recent Progress on the Characterization of Cellulose Nanomaterials by Nanoscale Infrared Spectroscopy

Recent Progress on the Characterization of Cellulose Nanomaterials by Nanoscale Infrared Spectroscopy

Multivariate Raman mapping for phenotypic characterization in plant tissue sections

Principles and Applications of Vibrational Spectroscopic Imaging in Plant Science: A Review

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