Use of PLS Discriminant Analysis for Revealing the Absence of a Compound in an Electron Ionization Mass Spectral Database

2017 ◽  
Vol 72 (14) ◽  
pp. 1419-1425 ◽  
Author(s):  
K. M. Sotnezova ◽  
A. S. Samokhin ◽  
I. A. Revelsky
2019 ◽  
Vol 439 ◽  
pp. 1-12 ◽  
Author(s):  
Dongmei Chen ◽  
Xiaoshuang Pei ◽  
Mengru Wu ◽  
Shuyu Xie ◽  
Yuanhu Pan ◽  
...  

1994 ◽  
Vol 72 (5) ◽  
pp. 1302-1311 ◽  
Author(s):  
Mark L. J. Reimer ◽  
John B. Westmore ◽  
Manoranjan Das

Positive ion electron ionization mass spectra are presented for palladium(II) β-diketonates and monothio-β-diketonates of the general form PdII[RC(X)CHC(O)R′]2, where R = phenyl, 4-methoxyphenyl, 2-thienyl, or 2-naphthyl; R′ = trifluoromethyl, pentafluoroethyl, or n-heptafluoropropyl; and X = O or S. The mass spectral behavior is in sharp contrast to that of metals of the first transition series. The spectra of the β-diketonates are dominated by metal-containing ions that arise by migration of the R group from the ligand (L) to palladium, but there is no evidence for fluorine-to-metal transfer. These findings are consistent with HSAB theory. The strong tendency of palladium to form bonds with unsaturated carbon also leads to remarkably abundant metal-containing ions that arise by losses of CO or aryloxy radicals from [PdRL]+• ions. In contrast, in decompositions of ions in the spectra of the monothio-β-diketonates, migration of the R group is suppressed; competition for palladium dπ electrons by the sulfur donor makes palladium a poorer aryl group acceptor.


2019 ◽  
Vol 54 (6) ◽  
pp. ii-iii
Author(s):  
Annelaure Damont ◽  
Marie-Françoise Olivier ◽  
Anna Warnet ◽  
Bernard Lyan ◽  
Estelle Pujos-Guillot ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Shunyang Wang ◽  
Tobias Kind ◽  
Dean J. Tantillo ◽  
Oliver Fiehn

Abstract Compound identification by mass spectrometry needs reference mass spectra. While there are over 102 million compounds in PubChem, less than 300,000 curated electron ionization (EI) mass spectra are available from NIST or MoNA mass spectral databases. Here, we test quantum chemistry methods (QCEIMS) to generate in silico EI mass spectra (MS) by combining molecular dynamics (MD) with statistical methods. To test the accuracy of predictions, in silico mass spectra of 451 small molecules were generated and compared to experimental spectra from the NIST 17 mass spectral library. The compounds covered 43 chemical classes, ranging up to 358 Da. Organic oxygen compounds had a lower matching accuracy, while computation time exponentially increased with molecular size. The parameter space was probed to increase prediction accuracy including initial temperatures, the number of MD trajectories and impact excess energy (IEE). Conformational flexibility was not correlated to the accuracy of predictions. Overall, QCEIMS can predict 70 eV electron ionization spectra of chemicals from first principles. Improved methods to calculate potential energy surfaces (PES) are still needed before QCEIMS mass spectra of novel molecules can be generated at large scale.


2012 ◽  
Vol 82 ◽  
pp. 38-45 ◽  
Author(s):  
Yuji Sawada ◽  
Ryo Nakabayashi ◽  
Yutaka Yamada ◽  
Makoto Suzuki ◽  
Muneo Sato ◽  
...  

2019 ◽  
Vol 54 (6) ◽  
pp. 567-582 ◽  
Author(s):  
Annelaure Damont ◽  
Marie-Françoise Olivier ◽  
Anna Warnet ◽  
Bernard Lyan ◽  
Estelle Pujos-Guillot ◽  
...  

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