Violaxanthin cycle kinetics analysed in vivo with resonance Raman spectroscopy

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Koch, M.; Zagermann, S.; Kniggendorf, A.-K.; Meinhardt-Wollweber, M.; Roth, B.: Violaxanthin cycle kinetics analysed in vivo with resonance Raman spectroscopy. In: Journal of Raman Spectroscopy 48 (2017), Nr. 5, S. 686–691. DOI: https://doi.org/10.1002/jrs.5102

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Abstract: 
Measuring the kinetics of the violaxanthin cycle imposes an experimental challenge. Traditionally, carotenoid analysis was carried out laboriously with high-performance liquid chromatography. In this work, we present the first in vivo approach to directly measure the kinetics of the violaxanthin cycle, using resonance Raman spectroscopy in combination with baseline correction and principal component analysis. Applying the new approach allows measuring thousands of data points as opposed to the few possible with chemical analysis over the course of a violaxanthin cycle kinetics experiment. In vivo analysis of the violaxanthin cycle is necessary to fully understand adaptation kinetics to varying light conditions, the knowledge of which is especially important for assessing the stress tolerance of plants in the wake of the increasing climate change. Three experiments on the green alga Dunaliella salina were performed, featuring both the light-to-dark and dark-to-light transitions response of the algae. This is the peer reviewed version of the following article: Koch, M. et al.: Violaxanthin cycle kinetics analysed in vivo with resonance Raman spectroscopy. In: Journal of Raman Spectroscopy (2017), which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/jrs.5102/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: Text
Publishing status: acceptedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Maschinenbau
Fakultät für Mathematik und Physik

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1 image of flag of Germany Germany 72 87.80%
2 image of flag of Russian Federation Russian Federation 2 2.44%
3 image of flag of United Kingdom United Kingdom 2 2.44%
4 image of flag of Korea, Republic of Korea, Republic of 1 1.22%
5 image of flag of Japan Japan 1 1.22%
6 image of flag of India India 1 1.22%
7 image of flag of Hong Kong Hong Kong 1 1.22%
8 image of flag of France France 1 1.22%
9 image of flag of Spain Spain 1 1.22%

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