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RATIONALE: The rapid analysis of volatile compounds, such as fragrances, is important in many commercial industries. The various ambient ionization methods have until now been largely applied to non-volatile or low-volatile compounds with success, and this study develops a semi-quantitative method for volatile compounds in commercial cleaning products. METHODS: Low-temperature plasma (LTP) ionization was used to perform rapid analysis, determine limits of detection (LODs) and perform chemical imaging on eight fragrances. Several mass analyzers including an ion trap, a quadrupole and an orbitrap were used to rapidly screen volatile compounds from cloth, paper, and glass and determine compositions present in a commercial cleaning product. Peltier cooling was used in some cases to enhance the retention time of compounds on a surface. RESULTS: This LTP method allowed the detection of fragrances in low picogram absolute amounts from glass, paper and cloth. Quantitation was demonstrated for compounds in a commercial cleaning product 1 min after the product was applied to a vinyl tile surface. High-throughput analysis and simultaneous detection of multiple compounds in a mixture were demonstrated with analysis times of less than 1 min. Modest spatial resolution (better than 1 cm) was achieved with LTP ionization. CONCLUSIONS: A semi-quantitative method has been demonstrated for the routine analysis of volatile and semi-volatile compounds. This method would be useful in quality control and production environments to determine product persistence, location of analytes and to complement olfactory studies for determining concentrations in the ambient environment.

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The aza-Michael addition and the Mannich condensation occur in thin films deposited on ambient surfaces. The reagents for both C-N bond formation reactions were transferred onto the surface by drop-casting using a micropipette. The surface reactions were found to be much more efficient than the corresponding bulk solution-phase reactions performed on the same scale in the same acetonitrile solvent. The increase in rate of product formation in the thin film is attributed to solvent evaporation in the open air which results in reagent concentration and produces rate acceleration similar to that seen in evaporating droplets in desorption electrospray ionization. This thin film procedure has potential for the rapid synthesis of reaction products on a small scale, as well as allowing rapid derivatization of analytes to produce forms that are easily ionized by electrospray ionization. Analysis of the derivatized sample directly from the reaction surface through the use of desorption electrospray ionization is also demonstrated.

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Desorption electrospray ionization imaging allows biomarker discovery and disease diagnosis through chemical characterization of biological samples in their native environment. Optimization of experimental parameters including emitter capillary size, solvent composition, solvent flow rate, mass spectrometry scan-rate and step-size is shown here to improve the resolution available in the study of biological tissue from 180 µm to about 35 µm using an unmodified commercial mass spectrometer. Mouse brain tissue was used to optimize and measure resolution based on known morphological features and their known relationships to major phospholipid components. Features of approximately 35 µm were resolved and correlations drawn between features in grey matter (principally PS (18:0/22:6), m/z 834) and in white matter (principally ST (24:1), m/z 888). The improved spatial resolution allowed characterization of the temporal changes in lipid profiles occurring within mouse ovaries during the ovulatory cycle. An increase in the production of phosphatidylinositol (PI 38:4) m/z 885 and associated fatty acids such as arachidonic acid (FA 20:4) m/z 303 and adrenic acid (FA 22:4) m/z 331was seen with the postovulatory formation of the corpus luteum.

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The exposure of charged microdroplets containing organic ions to solid-phase reagents at ambient surfaces results in heterogeneous ion/surface reactions. The electrosprayed droplets were driven pneumatically in ambient air and then electrically directed onto a surface coated with reagent. Using this reactive soft landing approach, acid-catalyzed Girard condensation was achieved at an ambient surface by directing droplets containing Girard T ions onto a dry keto-steroid. The charged droplet/surface reaction was much more efficient than the corresponding bulk solution-phase reaction performed on the same scale. The increase in product yield is ascribed to solvent evaporation, which causes moderate pH values in the starting droplet to reach extreme values and increases reagent concentrations. Comparisons are made with an experiment in which the droplets were pneumatically accelerated onto the ambient surface (reactive desorption electrospray ionization, DESI). The same reaction products were observed but differences in spatial distribution were seen associated with the "splash" of the high velocity DESI droplets. In a third type of experiment, the reactions of charged droplets with vapor phase reagents were examined by allowing electrosprayed droplets containing a reagent to intercept the headspace vapor of an analyte. Deposition onto a collector surface and mass analysis showed that samples in the vapor phase were captured by the electrospray droplets, and that instantaneous derivatization of the captured sample is possible in the open air. The systems examined under this condition included the derivatization of cortisone vapor with Girard T and that of 4-phenylpyridine N-oxide and 2-phenylacetophenone vapors with ethanolamine.

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The use of non-aqueous solvents in desorption electrospray ionization mass spectrometry (DESI-MS) is explored by analyzing a set of 43 compounds using binary mixtures of chloroform, tetrahydrofuran, and acetonitrile as the spray solvent. Comparisons of data obtained from chloroform/tetrahydrofuran (1:1) and chloroform/acetonitrile (1:1) spray solvents with the standard aqueous-based spray solvent (methanol/water, 1:1) shows that the non-aqueous systems have practical value for DESI, especially in the analysis of hydrophobic compounds. Non-aqueous spray solvents were used to ionize thermometer molecules (benzyl pyridinium salts) and showed lower internal energies (softer DESI ionization compared with methanol/water, 1:1), a result that has parallels in known solvent effects in electrospray ionization and is explained by solvent effects on surface tension. Consideration of octanol/water partition coefficients (K(ow)) of the 43 analytes in the light of their DESI results reveals the importance of the solubility of analyte in the spray solvent in producing high quality mass spectra. This finding provides additional support for the droplet pick-up description of the DESI mechanism, which is based on analyte dissolution in the spray solvent, followed by splashing of subsequently arriving droplets in the liquid film to form microdroplets of dissolved analyte. DESI solvent optimization can be improved by the use of K(ow) of the analyte as an indication of the polarity of the most appropriate solvent system.

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Diesel fuel samples were analyzed using gas chromatography-mass spectrometry (GC-MS) and chemometric procedures to associate and discriminate samples for potential use in forensic and environmental applications. Twenty-five diesel samples, representing 13 different brands, were collected from service stations in the Lansing, Michigan area. From the GC-MS data, mass-to-charge ratios were identified to represent aliphatic (m/z 57) and aromatic (m/z 91 and 141) compounds. The total ion chromatogram (TIC) and extracted ion chromatograms (EICs) of the chosen ions were evaluated using Pearson product moment correlation (PPMC) and principal component analysis (PCA). Diesel samples from the same brand showed higher PPMC coefficients, while those from different brands showed lower values. EICs generally provided a wider range of correlation coefficients than the TIC, with correspondingly increased discrimination among samples for EIC m/z 91. PCA grouped the diesel samples into four distinct clusters for the TIC. The first cluster consisted of four samples from the same brand, two clusters contained one diesel sample each of different brands, and the fourth cluster contained the remaining diesel samples. The same trend was observed using each EIC, with an increase in the number of clusters formed for EIC m/z 57 and 91. Both statistical procedures suggest aromatic components (specifically, those with m/z 91) provide the greatest discrimination among diesel samples. This conclusion was supported by identifying the chemical components that contribute the most to the variance. The relative amount of aliphatic versus aromatic components was found to cause the greatest discrimination among samples in the data set.

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