Structural characterization of fatty acids cationized with copper by electrospray ionization mass spectrometry under low-energy collision-induced dissociation

✍ Scribed by Carlos Afonso; Anne Riu; Ying Xu; Françoise Fournier; Jean-Claude Tabet

• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 182 KB
• Volume: 40
• Category: Article
• ISSN: 1076-5174
• DOI: 10.1002/jms.792

✦ Synopsis

Abstract

Fatty acids have for many years been characterized by mass spectrometry using electron ionization after chemical derivatization. When fatty acids are ionized using desorption/ionization methods such as electrospray ionization or fast atom bombardment, structural information is usually obtained through high‐energy collision‐induced dissociation (CID) using sector instruments. It has been shown that copper displays very interesting properties in the gas phase during CID. In this study, the reactivity of saturated and unsaturated fatty acid–copper [M − H + Cu^II^]^+^ complex and the role of the copper ion in promoting fragmentations were investigated under low‐energy collisional activation conditions. The decomposition of these species in an ion trap instrument led to diagnostic ion series that reflect CC bond cleavage, which involves Cu^II^ reduction followed by the release of an alkyl radical. It was demonstrated that in this way the localization of one or two homoconjugated double bonds is possible using low‐energy CID. Moreover, the distinction of cis and trans isomers is possible through characteristic product ions related to a specific loss of CO~2~. When these experiments are repeated using a triple‐quadrupole instrument with argon as collision gas, a different behavior is observed as in this case, in addition to the product ion distributions observed in the ion trap, other distributions are observed that reflect the influence of the different kinetic shifts and the occurrence of consecutive decompositions. Different examples are presented with various saturated and unsaturated fatty acid chains. Mechanisms are proposed in order to rationalize the experimental observations. Copyright © 2005 John Wiley & Sons, Ltd.