The coupling of direct analysis in real time ionization to Fourier transform ion cyclotron resonance mass spectrometry for ultrahigh-resolution mass analysis

2010 ◽  
Vol 24 (6) ◽  
pp. 784-790 ◽  
Author(s):  
Julia L. Rummel ◽  
Amy M. McKenna ◽  
Alan G. Marshall ◽  
John R. Eyler ◽  
David H. Powell
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Real Time ◽  
Cyclotron Resonance ◽  
Direct Analysis ◽  
Ion Cyclotron Resonance ◽  
Mass Analysis ◽  
Ultrahigh Resolution ◽  
Ion Cyclotron ◽  
Resolution Mass

21 Tesla Fourier Transform Ion Cyclotron Resonance Mass Spectrometer: A National Resource for Ultrahigh Resolution Mass Analysis

2015 ◽  
Vol 26 (9) ◽  
pp. 1626-1632 ◽  
Author(s):  
Christopher L. Hendrickson ◽  
John P. Quinn ◽  
Nathan K. Kaiser ◽  
Donald F. Smith ◽  
Greg T. Blakney ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Mass Spectrometer ◽  
Cyclotron Resonance ◽  
Ion Cyclotron Resonance ◽  
Mass Analysis ◽  
Ultrahigh Resolution ◽  
Ion Cyclotron ◽  
Resolution Mass ◽  
National Resource

Compositional Analysis of Oil Residues by Ultrahigh-Resolution Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

2013 ◽  
Vol 27 (4) ◽  
pp. 2002-2009 ◽  
Author(s):  
Timo Kekäläinen ◽  
Jaana M. H. Pakarinen ◽  
Kim Wickström ◽  
Vladislav V. Lobodin ◽  
Amy M. McKenna ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Cyclotron Resonance ◽  
Compositional Analysis ◽  
Ion Cyclotron Resonance ◽  
Ultrahigh Resolution ◽  
Ion Cyclotron

Timber species identification from chemical fingerprints using direct analysis in real time (DART) coupled to Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS): comparison of wood samples subjected to different treatments

Holzforschung ◽  
2019 ◽  
Vol 73 (11) ◽  
pp. 975-985 ◽  
Author(s):  
Maomao Zhang ◽  
Guangjie Zhao ◽  
Juan Guo ◽  
Alex C. Wiedenhoeft ◽  
Charles C. Liu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Statistical Analysis ◽  
Real Time ◽  
Cyclotron Resonance ◽  
Direct Analysis ◽  
Species Level ◽  
Ion Cyclotron Resonance ◽  
Timber Species ◽  
Fticr Ms

Abstract Timber genus identification based on the anatomical features of wood is well established in botany. However, species-level wood identification is not always possible based on traditional wood morphology techniques alone. To compensate for the deficiencies of traditional methods, direct analysis in real time coupled to Fourier transform ion cyclotron resonance mass spectrometry (DART-FTICR-MS) was used to obtain the mass spectral fingerprints of different timber species. Using heartwood samples of two morphologically similar species, Pterocarpus santalinus and Pterocarpus tinctorius, subjected to different treatments, i.e. solvent extractions and powdered samples as well as air-dried samples and samples dried at low and high temperatures, we observed distinct chemical signatures for the wood samples from the two species, enabling rapid species-level identification when multivariate statistical analysis was adopted. The supervised orthogonal partial least squares discriminant analysis (OPLS-DA) models for samples subjected to different treatments all exhibited accurate differentiation performance of the explained fraction of variance of classes (R2Y = 0.936–0.987) and the cross-validated fraction of variance of classes (Q2 = 0.857–0.949). Compared with solvent types and the physical form of the sample, the drying treatment method had a greater impact on the chemical fingerprint from DART-FTICR-MS. Air-dried wood chips were the optimal samples for the DART-FTICR-MS method coupled with statistical analysis.

Sign in / Sign up

Export Citation Format

Share Document