Correlation analysis on data sets to detect infectious agents in the airways by ion mobility spectrometry of exhaled breath

International Journal for Ion Mobility Spectrometry

Volumn 14, Issue 4, 2011, Pages 197-206

  Maddula, Sasidhar ^a   Rabis, Thomas ^b   Sommerwerck, Urte ^b   Anhenn, Olaf ^b   Darwiche, Kaid ^b   Freitag, Lutz ^b   Teschler, Helmut ^b   Baumbach, Jörg Ingo ^a  

^a KIST Europe ^*  (Germany)

^b UNIVERSITY HOSPITAL ESSEN   (Germany)

Author keywords

Breath analysis; Correlation analysis; Data mining; Exhale; MCC IMS

Indexed keywords

ANALYTES; BREATH ANALYSIS; CLINICAL APPLICATION; CORRELATION ANALYSIS; DATA SETS; EXHALE; EXHALED BREATHS; INFECTIOUS AGENTS; ION MOBILITY SPECTROMETRY; MCC/IMS; NON-INVASIVE; PSEUDOMONAS AERUGINOSA;

BACTERIA; CHROMATOGRAPHIC ANALYSIS; DATA MINING; VISUALIZATION;

SPECTROMETRY;

EID: 82355169692     PISSN: 14356163     EISSN: 18654584     Source Type: Journal    
DOI: 10.1007/s12127-011-0076-7     Document Type: Article

References (25)

1. Bödeker B, Baumbach JI (2009) Analytical description of IMS-signals. Int J Ion Mobility Spectrom 12: 103-108, 10. 1007/s12127-009-0024-y.
2. Bödeker B, Vautz W, Baumbach JI (2008) Peak finding and referencing in MCC/IMS - data. Int J Ion Mobil Spectrom 11: 83-88.
3. Bödeker B, Vautz W, Baumbach JI (2008) Peak comparison in MCC/IMS - Data - Searching for potential biomarkers in human breath data. Int J Ion Mobil Spectrom 11: 89-93.
4. Bödeker B, Vautz W, Baumbach JI (2008) Visualisation of MCC/IMS - data. Int J Ion Mobil Spectrom 11: 77-82.
5. Westhoff M, Litterst P, Maddula S, Bödecker B, Rahmann S, Davies AN, Baumbach JI (2010) Differentiation of Chronic Obstructive Pulmonary Disease (COPD) including lung cancer from healthy control group by breath analysis using ion mobility spectrometry. Int J Ion Mobil Spectrom 13: 131-139.
6. Allardyce RA, Langford VS, Hill AL, Murdoch DR (2006) Detection of volatile metabolites produced by bacterial growth in blood culture media by selected ion flow tube mass spectrometry (SIFT-MS). J Microbiol Methods 65: 361-365.
7. Arnold JW, Senter SD (1998) Use of digital aroma technology and SPME, GC-MS to compare volatile compounds produced by bacteria isolated from processed poultry. J Sci Food Agric 78: 343-348.
8. Canhoto O, Magan N (2005) Electronic nose technology for the detection of microbial and chemical contamination of potable water. Sens Actuators, B, Chem B106: 3-6.
9. Carroll W, Lenney W, Wang T, Spanel P, Alcock A, Smith D (2005) Detection of volatile compounds emitted by Pseudomonas aeruginosa using selected ion flow tube mass spectrometry. Pediatr Pulmonol 39: 452-456.
10. Dutta R, Hines EL, Gardner JW, Boilot P (2002) Bacteria classification using Cyranose 320 electronic nose. Biomed Eng Online 1: 4.
11. Elgaali H, Hamilton-Kemp TR, Newman MC, Collins RW, Yu K, Archbold DD (2002) Comparison of long-chain alcohols and other volatile compounds emitted from food-borne and related gram positive and gram negative bacteria. J Basic Microbiol 42: 373-380.
12. Haugen JE, Rudi K, Langsrud S, Bredholt S (2006) Application of gas-sensor array technology for detection and monitoring of growth of spoilage bacteria in milk: a model study. Anal Chim Acta 565: 10-16.
13. Labows JN, McGinley KJ, Webster GF, Leyden JJ (1980) Headspace analysis of volatile metabolites of Pseudomonas aeruginosa and related species by gas chromatography-mass spectrometry. J Clin Microbiol 12: 521-526.
14. Pfeifer Y, Cullik A, Witte W (2010) Resistance to cephalosporins and carbapenems in Gram-negative bacterial pathogens. Int J Med Microbiol 300: 371-379, 10. 1016/j. ijmm. 2010. 04. 005.
15. Prasad S, Pierce KM, Schmidt H, Rao JV, Gueth R, Bader S, Synovec RE, Smith GB, Eiceman GA (2007) Analysis of bacteria by pyrolysis gas chromatography-differential mobility spectrometry and isolation of chemical components with a dependence on growth temperature. Analyst (Cambridge, U K) 132: 1031-1039.
16. Prasad S, Pierce KM, Schmidt H, Rao JV, Gueth R, Synovec RE, Smith GB, Eiceman GA (2008) Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis. Analyst (Cambridge, U K) 133: 760-767.
17. Prasad S, Schmidt H, Lampen P, Wang M, Gueth R, Rao JV, Smith GB, Eiceman GA (2006) Analysis of bacterial strains with pyrolysis-gas chromatography/differential mobility spectrometry. Analyst (Cambridge, U K) 131: 1216-1225.
18. Sahgal N (2008) Microbial and non-microbial volatile fingerprints: potential clinical applications of electronic nose for early diagnoses and detection of diseases PhD thesis, Cranfield University.
19. Savelev SU, Perry JD, Bourke SJ, Jary H, Taylor R, Fisher AJ, Corris PA, Petrie M, De Soyza A (2011) Volatile biomarkers of Pseudomonas aeruginosa in cystic fibrosis and noncystic fibrosis bronchiectasis. Lett Appl Microbiol 52: 610-613, 10. 1111/j. 1472-765X. 2011. 03049. x.
20. Wang TS, Carroll W, Lenny W, Boit P, Smith D (2006) The analysis of 1-propanol and 2-propanol in humid air samples using selected ion flow tube mass spectrometry. Rapid Comm Mass Spectrom 20: 125-130, 10. 1002/rcm. 2285.
21. Williams JP, Mayberry WR, Payne WJ (1966) Metabolism of linear alcohols with various chain lengths by a Pseudomonas species. Appl Microbiol 14: 156-160.
22. Zechman JM, Aldinger S, Labows JN Jr (1986) Characterization of pathogenic bacteria by automated headspace concentration-gas chromatography. J Chromatogr 377: 49-57.
23. Maddula S, Blank L, Schmid A, Baumbach JI (2009) Detection of volatile metabolites of Escherichia coli by multi capillary column coupled ion mobility spectrometry. Anal Bioanal Chem 394: 791-800.
24. Visual Now 2. 2 - Handbook - B& S Analytik, Dortmund, Germany (2011).
25. Bunkowski, A.: MCC-IMS data analysis using automated spectra processing and explorative visualization methods. - Thesis, University Bielefeld (2011, unpublished results).