ANOVA and factor analysis applied to time domain NMR signals

• Type: Article in International Scientific Journal
• Date: 1997

Authors

Rutledge, DN (Author) Other; Barros, AS (Author) Other; Gaudard, F (Author) Other

Journal

Title: Organic Magnetic Resonance

Vol. 35

Pages: S13-S21

ISSN: 0749-1581

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 16 Citations

Scopus - 22 Citations

Other information

Authenticus ID: P-008-S25

DOI: 10.1002/(sici)1097-458x(199712)35:133.0.co;2-p

Abstract (EN): Time domain (or low resolution pulse) NMR can generate a range of relaxation curves (CPMG, I-R, P-S, HSE, FID, etc.) which may vary depending on the characteristic of the product being controlled - water content, hydration state, solid fat content, iodine number or even authenticity of origin. Very often, the NMR signal is decomposed into a sum of exponential relaxation curves and the calculated NMR parameters (e.g. R1, R2, M0) are correlated with the property under study. Chemometric techniques, such as analysis of variance (ANOVA) and factor analysis, were shown to be effective means of determining whether a given set of NMR signals contains any interesting information before proceeding to use fastidious and often uncertain signal decomposition procedures. These techniques were applied to NMR signals acquired for spreads and gelatines with different compositions, to mixtures of a cation (Cu2+) and a ligand (tetraphenylporphin) and to glycine solutions at different pH values. © 1997 John Wiley & Sons, Ltd.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9