Rapid characterization of biomass using fluorescence spectroscopy coupled with multivariate data analysis. II. Northern red oak (Quercus rubra)

2010 ◽  
Vol 2 (4) ◽  
pp. 043101 ◽  
Author(s):  
K. Nkansah ◽  
B. Dawson-Andoh
Keyword(s):  
Data Analysis ◽  
Fluorescence Spectroscopy ◽  
Multivariate Data Analysis ◽  
Quercus Rubra ◽  
Multivariate Data ◽  
Red Oak ◽  
Northern Red Oak ◽  
Rapid Characterization

MECHANICAL PULPING: Characterization of dissolving pulp by multivariate data analysis of FT-IR and NMR spectra

2011 ◽  
Vol 26 (4) ◽  
pp. 398-409 ◽  
Author(s):  
Peter Strunk ◽  
Tommy Ö Öman ◽  
Mattias Hedenström ◽  
Bertil Eliasson ◽  
András Gorzsás
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Nmr Spectra ◽  
Multivariate Data ◽  
Dissolving Pulp ◽  
Ir And Nmr Spectra ◽  
Ft Ir

Non-invasive characterization of polymeric materials in relation to art conservation using unilateral NMR combined with multivariate data analysis

2013 ◽  
Vol 5 (17) ◽  
pp. 4480 ◽  
Author(s):  
Cindie Kehlet ◽  
Eleonora Del Federico ◽  
Hiba Schahbaz ◽  
Amelia Catalano ◽  
Jens Dittmer ◽  
...  
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Polymeric Materials ◽  
Art Conservation ◽  
Non Invasive ◽  
Unilateral Nmr

Characterization of Selected South African Young Cultivar Wines Using FTMIR Spectroscopy, Gas Chromatography, and Multivariate Data Analysis

2009 ◽  
Vol 57 (7) ◽  
pp. 2623-2632 ◽  
Author(s):  
Leanie Louw ◽  
Karolien Roux ◽  
Andreas Tredoux ◽  
Oliver Tomic ◽  
Tormod Naes ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Data Analysis ◽  
South African ◽  
Multivariate Data Analysis ◽  
Multivariate Data

scholarly journals Characterization of Hydrophobic Double-Ester Polymers by Molecular Modeling and Multivariate Data Analysis.

1999 ◽  
Vol 53 ◽  
pp. 95-99
Author(s):  
Rune Fossheim ◽  
Astri Rogstad ◽  
Rubén A. Toscano ◽  
Raymundo Cea-Olivares ◽  
Jorma Mattinen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Molecular Modeling ◽  
Multivariate Data Analysis ◽  
Multivariate Data

scholarly journals An Integrated NMR, LC-DAD-MS, LC-QTOF Metabolomic Characterization of Sartoria hedysaroides: Correlation of Antioxidant and Enzyme Inhibitory Activity with Chemical Composition by Multivariate Data Analysis

Antioxidants ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 110
Author(s):  
Stefano Dall’Acqua ◽  
Stefania Sut ◽  
Kouadio Ibrahime Sinan ◽  
Gokhan Zengin ◽  
Irene Ferrarese ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Aerial Part ◽  
Methanolic Extract ◽  
Multivariate Data ◽  
Chemical Data ◽  
Acetylcholinesterase Inhibition ◽  
Biological Potential

Sartoria hedysaroides Boiss and Heldr. (Fabaceae) is an endemic plant of Turkey that has received little scientific consideration so far. In the present study, the chemical profiles of extracts from the aerial part and roots of S. hedysaroides obtained using solvents with different polarities were analyzed combining integrated NMR, LC-DAD-MSn, and LC-QTOF methods. In vitro antioxidant and enzyme inhibitory activities were evaluated, and the results were combined with chemical data using multivariate approaches. Phenolic acids, flavonoids, ellagitannins, and coumarins were identified and quantified in the extracts of aerial part and roots. Methanolic extract of S. hedysaroides aerial part showed the highest phenolic content and the highest antioxidant activity and cupric ion reducing antioxidant capacity. Dichloromethane extract of S. hedysaroides roots showed the highest inhibition of butyryl cholinesterase, while methanolic extract of S. hedysaroides aerial part was the most active tyrosinase inhibitor. Multivariate data analysis allowed us to observe a good correlation between phenolic compounds, especially caffeoylquinic derivatives and flavonoids and the antioxidant activity of extracts. Acetylcholinesterase inhibition was correlated with the presence of caffeoylquinic acids and coumarins. Overall, the present study appraised the biological potential of understudied S. hedysaroides, and provided a comprehensive approach combining metabolomic characterization of plant material and multivariate data analysis for the correlation of chemical data with results from multi-target biological assays.

Sign in / Sign up

Export Citation Format

Share Document