Affinities and Comparisons of Enzyme States by Principal Component Analysis of NMR Spectra, Automated using TREND Software

Author(s):  
Jia Xu ◽  
Steven R. Van Doren
1996 ◽  
Vol 9 (3) ◽  
pp. 93-104 ◽  
Author(s):  
Annette C. Kuesel ◽  
Radka Stoyanova ◽  
Nanci R. Aiken ◽  
Chun-Wei Li ◽  
Benjamin S. Szwergold ◽  
...  

2015 ◽  
Vol 43 (6) ◽  
pp. e41-e41 ◽  
Author(s):  
Katherine M. Collins ◽  
Alain Oregioni ◽  
Laura E. Robertson ◽  
Geoff Kelly ◽  
Andres Ramos

1984 ◽  
Vol 22 (1) ◽  
pp. 11-15 ◽  
Author(s):  
Marcel Azzaro ◽  
Serge Geribaldi ◽  
Bruno Videau ◽  
Maurice Chastrette

Molecules ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 213
Author(s):  
Colleen L. Ray ◽  
James A. Gawenis ◽  
C. Michael Greenlief

A new NMR-based method for the discrimination of olive oils of any grade from seed oils and mixtures thereof was developed with the aim of allowing the verification of olive oil authenticity. Ten seed oils and seven monovarietal and blended extra virgin olive oils were utilized to develop a principal component analysis (PCA) based analysis of 1H NMR spectra to rapidly and accurately determine the authenticity of olive oils. Another twenty-eight olive oils were utilized to test the principal component analysis (PCA) based analysis. Detection of seed oil adulteration levels as low as 5% v/v has been shown using simple one-dimensional proton spectra obtained using a 400 MHz NMR spectrometer equipped with a room temperature inverse probe. The combination of simple sample preparation, rapid sample analysis, novel processing parameters, and easily interpreted results, makes this method an easily accessible tool for olive oil fraud detection by substitution or dilution compared to other methods already published.


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