Alternativer Identifier:
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Verwandter Identifier:
(Is Supplement To) doi:10.3390/molecules25215125 - DOI
Ersteller/in:
Stark, Pauline https://orcid.org/0000-0003-4368-0125 [Leibniz Institute of Plant Biochemistry]

Porzel, Andrea https://orcid.org/0000-0002-8148-6895 [Leibniz Institute of Plant Biochemistry]

Zab, Caroline [Leibniz Institute of Plant Biochemistry]

Wessjohann, Ludger https://orcid.org/0000-0003-2060-8235 [Leibniz Institute of Plant Biochemistry]

Franke, Katrin https://orcid.org/0000-0003-3043-3571 [Leibniz Institute of Plant Biochemistry]

Rizzo, Paride https://orcid.org/0000-0003-3802-2005 [Leibniz Institute of Plant Genetics and Crop Plant Research]
Beitragende:
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Titel:
PSYCHE - a valuable experiment in plant NMR-metabolomics
Weitere Titel:
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Beschreibung:
(Abstract) 1H-NMR is a very reproducible spectroscopic method and, therefore, a powerful tool for metabolomic analysis of biological samples. However, due to the high complexity of natural samples, such as plant extracts, the evaluation of spectra is difficult because of signal overlap. The new NMR "Pure Shift" methods improve spectral resolution by suppressing homonuclear coupling and turning multiplets into singlets. The PSYCHE (Pure Shift Yielded by Chirp excitation) and the Zangger-Sterk pulse sequence were tested. The parameters of the more suitable PSYCHE experiment were optimized, and the extracts of 21 Hypericum species were measured. Different evaluation criteria were used to compare the suitability of the PSYCHE experiment with conventional 1H-NMR. The relationship between the integral of a signal and the related bin value established by linear regression demonstrates an equal representation of the integrals in binned PSYCHE spectra compared to conventional 1H-NMR. Using multivariate data analysis based on both techniques reveals comparable results. The obtained data demonstrate that Pure Shift spectra can support the evaluation of conventional 1H-NMR experiments.
Schlagworte:
Pure Shift NMR, PSYCHE, Hypericum, metabolomics
Zugehörige Informationen:
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Sprache:
Englisch
Herausgeber/in:
Leibniz-Institut für Pflanzenbiochemie
Erstellungsjahr:
Fachgebiet:
Chemistry
Biochemistry
Objekttyp:
(Dataset) NMR raw data
Datenquelle:
(Instrument) Agilent VNMRS 600 NMR spectrometer
Verwendete Software:
Software für Datenerhebung
Software:
VNMRJ - 4.2A
Alternative Software:
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Verwendete Software:
Software für Datenbearbeitung
Software:
MestreNova - 12.0.4-220023
Alternative Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Rechteinhaber/in:
Leibniz Institute of Plant Biochemistry

Leibniz Institute of Plant Genetics and Crop Plant Research
Förderung:
Investitionsbank Sachsen-Anhalt / EFRE - (PhytoAD)(ZS/2016/05/78617)
Investitionsbank Sachsen-Anhalt / EFRE - (HyperSpEED)(ZS/2019/07/99747)
Europäischer Fonds für Regionale Entwicklung (EFRE) - (PhytoAD)
Europäischer Fonds für Regionale Entwicklung (EFRE) - (HyperSpEED)
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Status:
Publiziert
Eingestellt von:
1670fa88949cc897f41b44d58d08c11a
Erstellt am:
Archivierungsdatum:
2020-12-09
Archivgröße:
35,5 MB
Archiversteller:
1670fa88949cc897f41b44d58d08c11a
Archiv-Prüfsumme:
bb4f73e703631bdbb0e0226012b998ce (MD5)
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