Profiling of N-acyl-homoserine lactones by liquid chromatography coupled with electrospray ionization and a hybrid quadrupole linear ion-trap and Fourier-transform ion-cyclotron-resonance mass spectrometry (LC-ESI-LTQ-FTICR-MS)

2007 ◽  
Vol 43 (1) ◽  
pp. 82-96 ◽  
Author(s):  
Tommaso R. I. Cataldi ◽  
Giuliana Bianco ◽  
Salvatore Abate
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Cyclotron Resonance ◽  
Ion Trap ◽  
Ion Cyclotron Resonance ◽  
Linear Ion Trap ◽  
Homoserine Lactones ◽  
Fticr Ms ◽  
Acyl Homoserine Lactones ◽  
Quadrupole Linear Ion Trap

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.

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