Soil Organic Matter Characterization by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FTICR MS): A Critical Review of Sample Preparation, Analysis, and Data Interpretation

2021 ◽  
Author(s):  
William Bahureksa ◽  
Malak M. Tfaily ◽  
Rene M. Boiteau ◽  
Robert B. Young ◽  
Merritt N. Logan ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Organic Matter ◽  
Fourier Transform ◽  
Soil Organic Matter ◽  
Sample Preparation ◽  
Critical Review ◽  
Cyclotron Resonance ◽  
Data Interpretation ◽  
Ion Cyclotron Resonance ◽  
Fticr Ms

scholarly journals Insights into dissolved organic matter complexity in rainwater from continental and coastal storms by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry

2012 ◽  
Vol 12 (12) ◽  
pp. 31413-31438 ◽  
Author(s):  
R. N. Mead ◽  
K. M. Mullaugh ◽  
G. B. Avery ◽  
R. J. Kieber ◽  
J. D. Willey ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Organic Matter ◽  
Fourier Transform ◽  
Cyclotron Resonance ◽  
Ion Cyclotron Resonance ◽  
Ultrahigh Resolution ◽  
Air Mass ◽  
Back Trajectories ◽  
Fticr Ms ◽  
Coastal Storms

Abstract. A series of seven rainwater samples were collected in Wilmington, North Carolina (USA), originating from both continental and coastal storms and analyzed by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). This data set is unique in that it represents a detailed comparison of the molecular level composition of DOM in rainwater collected from distinctly different air mass back trajectories by FTICR-MS. Approximately 25% of the roughly 2000 assigned CHO molecular formulas are unique to each storm classification indicating the importance of air mass back trajectory on the composition of rainwater dissolved organic matter (DOM). Analysis of the unique molecular formula assignments highlighted distinct groupings of various bio- and geo-molecule classes with coastal storms containing unique formulas representative of lignin and cellulose-like formulas, while continental storms had lipid-like formulas. A series of 18 distinct methylene oligomers were identified in coastal storms with 13 unique methylene oligomers in continental storms suggesting oligomer formation is ubiquitous in rainwater albeit different for each storm classification. Oligomers of small acids and C3H4O2 were detected in both storm types indicating their processing may be similar in both back trajectories. Black carbon (BC) was detected in continental storms with phenol moieties that are not as oxidized as aquatic DOM black carbon. The discovery of BC in continental rainwater has significant ramifications towards climate change, because atmospheric BC is such a potent chromophore that reemits absorbed sunlight at longer wavelengths thereby warming the lower atmosphere.

Peculiarities of data interpretation upon direct tissue analysis by Fourier transform ion cyclotron resonance mass spectrometry

2016 ◽  
Vol 22 (3) ◽  
pp. 123 ◽  
Author(s):  
Vtaliy Chagovets ◽  
Aleksey Kononikhin ◽  
Nataliia Starodubtseva ◽  
Yury Kostyukevich ◽  
Igor Popov ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Cyclotron Resonance ◽  
Data Interpretation ◽  
Ion Cyclotron Resonance ◽  
Tissue Analysis ◽  
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