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RATIONALE Ammonia (NH3) is an important chemical target in sensor applications such as trace explosives detection of ammonium nitrate (NH4NO3) and environmental monitoring. Ion-molecule reagent chemistries show potential to increase sensitivity in detection systems relying on atmospheric pressure ionization (API) of reagent-ammonium (M + NH4+) complexes. Gas-phase reagent selection assessment is based on mass spectrometric (MS) determination of binding constants relative to competitive ions and critical energies for ion-molecule complex dissociation. METHODS Eight ammonium complexation reagents were identified and gas-phase ion-molecule interactions were studied using electrospray ionization. Binding constants were determined, in Log(K), using the competition method for one host molecule with three guests (NH4+, Na+, and K+) in single quadrupole MS. Critical energy determination was based on calibration of threshold activation voltage using collision-induced dissociation (CID) tandem mass spectrometry (MS/MS). RESULTS This assessment informs selective binding affinity and intrinsic ion-molecule critical energy for dissociation. Relative NH4+ binding affinity was highest for sucrose and 4-tert-butylcalix[6]arene, while 4-tert-butylcalix[6]arene and methyl acetoacetate showed the highest preferential binding of NH4+ versus Na+ and K+. The intrinsic critical energy for NH4+ binding was highest for crown ethers, tetraglyme and methyl acetoacetate. CONCLUSIONS An MS-based framework was developed to quantitatively assess API ion-molecule reagent chemistries based on ammonium selectivity versus competing ions, and intrinsic ammonium binding strength and complex survivability for detection. Methyl acetoacetate is an attractive ammonium reagent for vapor-phase API techniques given its high vapor pressure, preferential selectivity, and high critical energy for dissociation. Copyright © 2013 John Wiley & Sons, Ltd.

Quantitative analysis of organonitrate explosive standards was performed by gas chromatography (GC) with dual electron capture detection (ECD2) and electron-impact ionization quadrupole mass spectrometry (EI-MS) in selected ion monitoring (SIM) detection mode. A comparison of method conditions and performance parameters, including minimum detectable limit (MDL) by compound, is presented in this technical note. The GC‐ECD2 method shows an improved 30‐250X sensitivity to dinitroaromatics, trinitroaromatics and RDX, in clean noise-limited backgrounds, and the GC‐MS method reveals a sensitivity increase of 2‐10X to high volatility mononitroaromatics, the ability to detect target analytes in complex matrices, and identify unknown compounds by mass-to-charge determination.

Ammonia (NH3) is an important chemical target in sensor applications such as trace explosives detection of ammonium nitrate (NH4NO3) and environmental monitoring. Ion-molecule reagent chemistries show potential to increase sensitivity in detection systems relying on atmospheric pressure ionization (API) of reagent-ammonium (M + NH4(+)) complexes. Gas-phase reagent selection assessment is based on mass spectrometric (MS) determination of binding constants relative to competitive ions and critical energies for ion-molecule complex dissociation.Eight ammonium complexation reagents were identified and gas-phase ion-molecule interactions were studied using electrospray ionization. Binding constants were determined, in Log(K), using the competition method for one host molecule with three guests (NH4(+), Na(+), and K(+)) in single quadrupole MS. Critical energy determination was based on calibration of threshold activation voltage using collision-induced dissociation (CID) tandem mass spectrometry (MS/MS).This assessment informs selective binding affinity and intrinsic ion-molecule critical energy for dissociation. Relative NH4(+) binding affinity was highest for sucrose and 4-tert-butylcalix[6]arene, while 4-tert-butylcalix[6]arene and methyl acetoacetate showed the highest preferential binding of NH4(+) versus Na(+) and K(+). The intrinsic critical energy for NH4(+) binding was highest for crown ethers, tetraglyme and methyl acetoacetate.An MS-based framework was developed to quantitatively assess API ion-molecule reagent chemistries based on ammonium selectivity versus competing ions, and intrinsic ammonium binding strength and complex survivability for detection. Methyl acetoacetate is an attractive ammonium reagent for vapor-phase API techniques given its high vapor pressure, preferential selectivity, and high critical energy for dissociation.

The chemical and physical fates of trace amounts (50 μg) of explosives containing 2,4,6-trinitrotoluene (TNT), hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), and pentaerythritol tetranitrate (PETN) were determined for the purpose of informing the capabilities of tactical trace explosive detection systems. From these measurements, it was found that the mass decreases and the chemical composition changes on a time scale of hours, with the loss mechanism due to a combination of sublimation and photodegradation. The rates for these processes were dependent on the explosive composition, as well as on both the ambient temperature and the size distribution of the explosive particulates. From these results, a persistence model was developed and applied to model the time dependence of both the mass and areal coverage of the fingerprints, resulting in a predictive capability for determining fingerprint fate. Chemical analysis confirmed that sublimation rates for TNT were depressed by UV (330-400 nm) exposure due to photochemically driven increases in the molecular weight, whereas the opposite was observed for RDX. No changes were observed for PETN upon exposure to UV radiation, and this was attributed to its low UV absorbance.

Gas chromatography with electron capture detection (GC-ECD) analysis of explosive-related nitro organic compounds was performed using four different column stationary phases with the focus being on their impact on analyte stability and transfer efficiency during analysis. All four columns used were 6 m x 0.53 mm, and the four stationary phases were a 1.0-microm thick 5% phenyl siloxane/95% methyl siloxane non-polar phase, a 1.5-microm thick 5% phenyl siloxane/95% methyl siloxane non-polar phase optimized for explosives analysis, an intermediate polarity 0.5-microm thick trifluoropropylmethyl siloxane phase, and a proprietary intermediate polarity 0.5-microm thick phase. Although all exhibited similar recovery (as defined as the detector signal per injected mass) when new, the intermediate polarity phases maintained higher sample recovery over the course of analyzing hundreds of samples than the non-polar phases, particularly for the nitramines hexahydro-1,3,5-trinitro-1,3,5-triazine and octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine, for which a 7x and 3x decrease in recovery were observed, and the nitrate esters nitroglycerin and pentaerythritol tetranitrate, for which a 7x and 11x decrease in recovery were observed. For most other explosive-related compounds, the differences in recovery were between 1.5x and 3x over the same course. Although the detailed chemical formulation of the stationary phases have not been disclosed by their manufacturers, we attribute the observed differences in performance to the stability of their passivation chemistries with regard to other mobile-phase compounds contained in complex field samples. Although these effects have been qualitatively noted in the past and in response, maintenance procedures have been developed to help account for this behavior, the analyst's preference is to use an explosives analysis method that does not require these time-consuming measures. Our desire to prolong this maintenance interval provided the motivation for the assessment reported in this paper. From our assessment, we conclude that manufacturers of GC columns should focus more attention on the stationary phase and passivation chemistries that can lead to the development of a column that is better able to maintain passivation against explosive compound degradation; and users intending to perform large numbers of analyses using GC-ECD should make this a consideration when selecting a column.