Primary fatty acid amides are a group of bioactive lipids that have been linked with a variety of biological processes such as sleep regulation and modulation of monoaminergic systems. As novel forms of these molecules continue to be discovered, more emphasis will be placed on selective, trace detection. Currently, there is no published experimental determination of collision induced dissociation of PFAMs. A select group of PFAM standards, 12 to 22 length carbon chains, were directly infused into an electrospray ionization source Quadrupole Time of Flight Mass Spectrometer. All standards were monitored in positive mode using the [M + H](+) peak. Mass Hunter Qualitative Analysis software was used to calculate empirical formulas of the product ions. All PFAMs showed losses of 14 m/z indicative of an acyl chain, while the monounsaturated group displayed neutral losses corresponding to H(2)O and NH(3). The resulting spectra were used to propose fragmentation mechanisms. Isotopically labeled PFAMs were used to validate the proposed mechanisms. Patterns of saturated versus unsaturated standards were distinctive, allowing for simple differentiation. This determination will allow for fast, qualitative identification of PFAMs. Additionally, it will provide a method development tool for selection of unique product ions when analyzed in multiple reaction monitoring mode.

The inherent trace quantity of primary fatty acid amides found in biological systems presents challenges for analytical analysis and quantitation, requiring a highly sensitive detection system. The use of microfluidics provides a green sample preparation and analysis technique through small-volume fluidic flow through micron-sized channels embedded in a polydimethylsiloxane (PDMS) device. Microfluidics provides the potential of having a micro total analysis system where chromatographic separation, fluorescent tagging reactions, and detection are accomplished with no added sample handling. This study describes the development and the optimization of a microfluidic-laser induced fluorescence (LIF) analysis and detection system that can be used for the detection of ultra-trace levels of fluorescently tagged primary fatty acid amines. A PDMS microfluidic device was designed and fabricated to incorporate droplet-based flow. Droplet microfluidics have enabled on-chip fluorescent tagging reactions to be performed quickly and efficiently, with no additional sample handling. An optimized LIF optical detection system provided fluorescently tagged primary fatty acid amine detection at sub-fmol levels (436 amol). The use of this LIF detection provides unparalleled sensitivity, with detection limits several orders of magnitude lower than currently employed LC-MS techniques, and might be easily adapted for use as a complementary quantification platform for parallel MS-based omics studies.

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The inherent trace quantity of primary fatty acid amides found in biological systems presents challenges for analytical analysis and quantitation, requiring a highly sensitive detection system. The use of microfluidics provides a green sample preparation and analysis technique through small-volume fluidic flow through micron-sized channels embedded in a PDMS device. Microfluidics provides the potential of having a micro total analysis system where chromatographic separation, fluorescent tagging reactions, and detection are accomplished with no added sample handling. This study describes the development and optimization of a microfluidic-laser indued fluorescence (LIF) analysis and detection system that can be used for the detection of ultra-trace levels of fluorescently tagged primary fatty acid amines. A PDMS microfluidic device was designed and fabricated to incorporate droplet-based flow. Droplet microfluidics have enabled on-chip fluorescent tagging reactions to be performed quickly and efficiently, with no additional sample handling. An optimized LIF optical detection system provided fluorescently tagged primary fatty acid amine detection sub-fmol (436 amol) LODs. The use of this LIF detection provides unparalleled sensitivity, with detection limits several orders of magnitude lower than currently employed LC-MS techniques and might be easily adapted for use as a complementary quantification platform for parallel MS-based -omics studies.