Building biomarker libraries with novel chemical sensors: correlating differential mobility spectrometer signal outputs with mass spectrometry data

Gas chromatography/mass spectrometry (GC/MS) is a widely used analytic tool for qualitative and quantitative analysis of volatile and semi-volatile compounds. However, GC/MS use is limited by its large size, lack of portability, high cost and inherent complexity. Smaller instruments capable of high-throughput analysis of volatile compounds have the potential of combining MS-like sensitivity with portability. The micromachined differential mobility spectrometer (DMS) is a miniature sensor capable of registering volatile compounds in sub-parts-per-million (ppm) concentrations. It is small, portable, and can be coupled with multiple other compound separation methods. Here we describe paired volatile sample analyses using both GC/MS and GC/DMS which show that the DMS is capable of registering known compounds as verified by MS. Furthermore, we show that MS can be used to help build a library for our unique DMS sensor outputs and detect compounds in chemically complex backgrounds.

[1]  Christine Nardini,et al.  High parallelism, portability, and broad accessibility: Technologies for genomics , 2008, JETC.

[2]  R. A. Miller,et al.  Differential mobility spectrometry of chlorocarbons with a micro-fabricated drift tube. , 2004, The Analyst.

[3]  Michael Schivo,et al.  Design-of-experiment optimization of exhaled breath condensate analysis using a miniature differential mobility spectrometer (DMS). , 2008, Analytica chimica acta.

[4]  Jatinder Kaur Katnoria,et al.  Analytical methods for estimation of organophosphorus pesticide residues in fruits and vegetables: a review. , 2010, Talanta.

[5]  Oliver Dalby,et al.  Analysis of Gunshot Residue and Associated Materials—A Review , 2010, Journal of forensic sciences.

[6]  C L P Thomas,et al.  Increasing analytical space in gas chromatography-differential mobility spectrometry with dispersion field amplitude programming. , 2007, Journal of chromatography. A.

[7]  Melissa D. Krebs,et al.  Species-specific bacteria identification using differential mobility spectrometry and bioinformatics pattern recognition. , 2005, Analytical chemistry.

[8]  Thomas Ming-Hung Lee,et al.  Over-the-Counter Biosensors: Past, Present, and Future , 2008, Sensors.

[9]  Weixiang Zhao,et al.  Differentiation of Proteins and Viruses Using Pyrolysis Gas Chromatography Differential Mobility Spectrometry (PY/GC/DMS) and Pattern Recognition , 2008, IEEE Sensors Journal.

[10]  Xuewu Zhang,et al.  Mass spectrometry-based "omics" technologies in cancer diagnostics. , 2007, Mass spectrometry reviews.

[11]  Melissa D. Krebs,et al.  Detection of biological and chemical agents using differential mobility spectrometry (DMS) technology , 2005, IEEE Sensors Journal.

[12]  M. Biehl,et al.  Gaps and Challenges of Point-of-Care Technology , 2008, IEEE Sensors Journal.

[13]  Cristina E Davis,et al.  Two-dimensional wavelet analysis based classification of gas chromatogram differential mobility spectrometry signals. , 2009, Analytica chimica acta.

[14]  Melissa D. Krebs,et al.  Novel technology for rapid species-specific detection of Bacillus spores. , 2006, Biomolecular engineering.

[15]  A. B. Kanu,et al.  The presumptive detection of benzene in water in the presence of phenol with an active membrane-UV photo-ionisation differential mobility spectrometer. , 2006, The Analyst.

[16]  Giorgio Pennazza,et al.  Diagnostic performance of an electronic nose, fractional exhaled nitric oxide, and lung function testing in asthma. , 2010, Chest.

[17]  R. A. Miller,et al.  Separation of ions from explosives in differential mobility spectrometry by vapor-modified drift gas. , 2004, Analytical chemistry.

[18]  D. Chace Mass spectrometry in newborn and metabolic screening: historical perspective and future directions. , 2009, Journal of mass spectrometry : JMS.

[19]  Wolfram Miekisch,et al.  From highly sophisticated analytical techniques to life-saving diagnostics: Technical developments in breath analysis , 2006 .

[20]  Joost T. van Dongen,et al.  Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach. , 2010, Plant biotechnology journal.