Two-dimensional wavelet analysis based classification of gas chromatogram differential mobility spectrometry signals

Analytica Chimica Acta

Volumn 647, Issue 1, 2009, Pages 46-53

  Zhao, Weixiang ^a   Sankaran, Shankar ^a   Ibáñez, Ana M ^b   Dandekar, Abhaya M ^b   Davis, Cristina E ^a  

^a University of California Davis   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Differential mobility spectrometry; Gas chromatography; Pattern recognition; Principal component; Support vector machine; Wavelet

Indexed keywords

2-D SIGNALS; ANALYSIS APPROACH; CHEMICAL PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; COMPENSATION VOLTAGE; DATA DIMENSIONS; DATA SIZE; DIFFERENTIAL MOBILITY SPECTROMETRY; FEATURE EXTRACTION METHODS; GAS CHROMATOGRAM; LARGE DATASETS; ORIGINAL SIGNAL; PATTERN RECOGNITION METHOD; PRINCIPAL COMPONENT; RETENTION TIME; SIGNAL INFORMATION; TRAINING SETS; WAVELET;

CHROMATOGRAPHIC ANALYSIS; COUPLINGS; FEATURE EXTRACTION; FRUITS; GAS CHROMATOGRAPHY; GASES; IMAGE RETRIEVAL; SPECTROMETERS; SPECTROMETRY; SUPPORT VECTOR MACHINES; TWO DIMENSIONAL; WAVELET ANALYSIS; WAVELET TRANSFORMS;

DATA MINING;

ACCURACY; ANALYTIC METHOD; ARTICLE; CHEMICAL STRUCTURE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DATA EXTRACTION; DIFFERENTIAL MOBILITY SPECTROMETRY; FEASIBILITY STUDY; FRUIT; GAS CHROMATOGRAPHY; INTERMETHOD COMPARISON; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTUM YIELD; SIGNAL DETECTION; SIGNAL PROCESSING; STRUCTURE ANALYSIS; SUPPORT VECTOR MACHINE;

ALGORITHMS; CHROMATOGRAPHY, GAS; FRUIT; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS;

EID: 67649304483     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2009.05.029     Document Type: Article

References (57)

1. Eiceman G.A., Wang M., Prasad S., Schmidt H., Tadjimukhamedov F.K., Lavine B.K., and Mirjankar N. Analytica Chimica Acta 579 (2006) 1
2. Shnayderman M., Mansfield B., Yip P., Clark H.A., Krebs M.D., Cohen S.J., Zeskind J.E., Ryan E.T., Dorkin H.L., Callahan M.V., Stair T.O., Gelfand J.A., Gill C.J., Hitt B., and Davis C.E. Analytical Chemistry 77 (2005) 5930
3. Krebs M.D., Zapata A.M., Nazarov E.G., Miller R.A., Costa I.S., Sonenshein A.L., and Davis C.E. Sensors Journal IEEE 5 (2005) 696
4. Borsdorf H., Nazarov E.G., and Miller R.A. Talanta 71 (2007) 1804
5. U.S. Congress, Office of Technology Assessment, Technology Against Terrorism: The Federal Effort, OTA-ISC-481, U.S. Government Printing Office, Washington, DC, July 1991.
6. Krebs M.D., Mansfield B., Yip P., Cohen S.J., Sonenshein A.L., Hitt B.A., and Davis C.E. Biomolecular Engineering 23 (2006) 119
7. Ayer S., Zhao W., and Davis C.E. IEEE Sensors Journal 8 (2008) 1586
8. Cocchi M., Durante C., Foca G., Manzini D., Marchetti A., and Ulrici A. Chemometrics and Intelligent Laboratory Systems 71 (2004) 129
9. Li X., Li J., and Yao X. Computers in Biology and Medicine 37 (2007) 509
10. Nicolai B.M., Theron K.I., and Lammertyn J. Chemometrics and Intelligent Laboratory Systems 85 (2007) 243
11. Addison P.S. The Illustrated Wavelet Transform Handbook-Introductory Theory and Applications in Science, Engineering, Medicine, and Finance (2002), Institute of Physics Publishing, London
12. Mallet S.G. IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (1989) 674
13. Daubechies I. Communications on Pure Applied Mathematics 41 (1988) 909
14. Utts J.M., and Heckard R.F. Mind on Statistics (2004), Thomson Brooks/Cole, Belmont, CA
15. Kim S.B., Wang Z., Oraintara S., Temiyasathit C., and Wongsawat Y. Chemometrics and Intelligent Laboratory Systems 90 (2008) 161
16. Brezmes J., Cabre P., Rojo S., Llobet E., Vilanova X., and Correig X. IEEE Sensors Journal 5 (2005) 463
17. Llobet E., Gualdron O., Vinaixa M., El-Barbri N., Brezmes J., Vilanova X., Bouchikhi B., Gomez R., Carrasco J.A., and Correig X. Chemometrics and Intelligent Laboratory Systems 85 (2007) 253
18. Wold S., Esbensen K., and Geladi P. Chemometrics and Intelligent Laboratory Systems 2 (1987) 37
19. Berrueta L.A., Alonso-Salces R.M., and Heberger K. Journal of Chromatography A 1158 (2007) 196
20. Gualdron O., Brezmes J., Llobet E., Amari A., Vilanova X., Bouchikhi B., and Correig X. Sensors and Actuators B: Chemical 122 (2007) 259
21. Kecman V. Learning and Soft Computing, Support Vector Machines. Neural Networks and Fuzzy Logic Models (2001), The MIT Press, Cambridge, MA, USA
22. Soini H.A., Bruce K.E., Klouckova I., Brereton R.G., Penn D.J., and Novotny M.V. Analytical Chemistry 78 (2006) 7161
23. Tholl D., Boland W., Hansel A., Loreto F., Rose U.S.R., and Schnitzler J.P. Plant Journal 45 (2006) 540
24. Shulaev V., Silverman P., and Raskin I. Nature 385 (1997) 718
25. Ligor M., and Buszewski B. Analytical and Bioanalytical Chemistry 376 (2003) 668
26. Jasoni R., Kane C., Green C., Peffley E., Tissue D., Thompson L., Payton P., and Pare P.W. Environmental and Experimental Botany 51 (2004) 273
27. Vuorinen T., Reddy G.V.P., Nerg A.M., and Holopainen J.K. Atmospheric Environment 38 (2004) 675
28. Loreto F., Barta C., Brilli F., and Nogues I. Plant Cell and Environment 29 (2006) 1820
29. Filella I., Wilkinson M.J., Llusia J., Hewitt C.N., and Penuelas J. Physiologia Plantarum 130 (2007) 58
30. Shuman J.L., Mittler R., and Shulaev V. Hortscience 41 (2006) 1057
31. Ormeno E., Mevy J.P., Vila B., Bousquet-Melou A., Greff S., Bonin G., and Fernandez C. Chemosphere 67 (2007) 276
32. Niemann G.J., Boon J.J., Pureveen J.B.M., Eijkel G.B., and Vanderheijden E. Journal of Analytical and Applied Pyrolysis 19 (1991) 213
33. Cardoza Y.J., Alborn H.T., and Tumlinson J.H. Journal of Chemical Ecology 28 (2002) 161
34. Hudaib M., Fiori J., Bellardi M.G., Rubies-Autonell C., and Cavrini V. Journal of Pharmaceutical and Biomedical Analysis 29 (2002) 1053
35. Huang J., Cardoza Y.J., Schmelz E.A., Raina R., Engelberth J., and Tumlinson J.H. Planta 217 (2003) 767
36. Jimenez-Martinez E.S., Bosque-Perez N.A., Berger P.H., Zemetra R., Ding H.J., and Eigenbrode S.D. Environmental Entomology 33 (2004) 1207
37. Staudt M., and Lhoutellier L. Tree Physiology 27 (2007) 1433
38. Huang J., Schmelz E.A., Alborn H., Engelberth J., and Tumlinson J.H. Journal of Chemical Ecology 31 (2005) 439
39. Takebayashi T., Kataoka T., and Yukinaga H. Journal of the Japanese Society for Horticultural Science 62 (1993) 305
40. Ishikawa Y., Ikoma Y., and Kaneko K. Journal of the Japanese Society for Horticultural Science 61 (1993) 941
41. Garcia T.D., and McNeil R.J. Hortscience 23 (1988) 773
42. Kuraoka T., Iwasaki K., and Ishii T. Journal of the American Society for Horticultural Science 102 (1977) 651
43. Felinger A., and Kare M. Chemometrics and Intelligent Laboratory Systems 72 (2004) 225
44. Ferreira C.B.R., and Borges D.L. Pattern Recognition Letters 24 (2003) 973
45. Trygg J., and Wold S. Chemometrics and Intelligent Laboratory Systems 42 (1998) 209
46. Pastia L., Walczak B., Massart D.L., and Reschiglian P. Chemometrics and Intelligent Laboratory Systems 48 (1999) 21
47. Wold S., Sjostrom M., and Eriksson L. Chemometrics and Intelligent Laboratory Systems 58 (2001) 109
48. Zhao W.X., Hopke P.K., Qin X.Y., and Prather K.A. Analytica Chimica Acta 549 (2005) 179
49. He Y., Li X.L., and Deng X.F. Journal of Food Engineering 79 (2007) 1238
50. Yu H.C., Wang J., Zhang H.M., Yu Y., and Yao C. Sensors and Actuators B-Chemical 128 (2008) 455
51. Flanders M. Journal of Neuroscience Methods 116 (2002) PII S0165
52. Kim C.I., Yu I.K., and Song Y.H. Energy Conversion and Management 43 (2002) 1839
53. Yen E., and Chu I.M. Expert Systems with Applications 35 (2008) 556
54. Morales E., and Shih F.Y. Pattern Recognition 33 (2000) 1611
55. Porter R., and Canagarajah N. IEE Proceedings on Vision Image Signal Processing 144 (1997) 180
56. Livens S., Scheunders P., van de Wouwer G., Van Dyck D., Smets H., Winkelmans J., and Bogaerts W. Microscopy, Microanalysis, Microstructures 7 (1996) 143-152
57. Livens S., Scheunders P., van de Wouwer G., Van Dyck D., Smets H., Winkelmans J., and Bogaerts W. Microscopy, Microanalysis, Microstructures 7 (1996) 143