MS-electronic nose performance improvement using the retention time dimension and two-way and three-way data processing methods

Sensors and Actuators, B: Chemical

Volumn 143, Issue 2, 2010, Pages 759-768

  Burian, Cosmin ^a   Brezmes, Jesus ^a,b   Vinaixa, Maria ^a,b   Cañellas, Nicolau ^a,b   Llobet, Eduard ^a   Vilanova, Xavier ^a   Correig, Xavier ^a,b  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b INSTITUTO DE SALUD CARLOS III   (Spain)

Author keywords

Electronic nose; Fuzzy Artmap; GC MS; Multi wall; n PLS; PARAFAC

Indexed keywords

CHROMATOGRAPHIC METHODS; CHROMATOGRAPHIC PEAKS; CHROMATOGRAPHIC RETENTION; CHROMATOGRAPHIC SEPARATIONS; DEGREE OF SIMILARITY; ELECTRONIC NOSE; ELECTRONIC NOSE (E-NOSE); FUZZY ARTMAP; GAS CHROMATOGRAPHS; ION CHROMATOGRAM; MASS SPECTRA; MEASUREMENT TIME; PARAFAC; PERFORMANCE IMPROVEMENTS; RETENTION TIME; THREE WAY DATA;

ARTIFICIAL ORGANS; CHROMATOGRAPHIC ANALYSIS; GAS CHROMATOGRAPHY; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MASS SPECTROMETERS; MASS SPECTROMETRY; PROCESSING; SIGNAL PROCESSING; TECHNOLOGICAL FORECASTING;

DATA PROCESSING;

EID: 73149090792     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2009.10.015     Document Type: Article

References (26)

1. Ampuero S., and Bosset J.O. The electronic nose applied to diary products: a review. Sensors and Actuators B 94 (2003) 1-12
2. Vinaixa M., Vergara A., Duran C., Llobet E., Badia C., Brezmes J., Vilanova X., and Correig X. Fast detection of rancidity in potato crisps using e-nosesbased on mass spectrometry or gas sensors. Sensors and Actuators B 106 (2005) 67-75
3. Peres C., Begnaud F., Eveleigh L., and Berdague J.-L. Fast characterization of foodstuff by headspace mass spectrometry (HS-MS). Trends in Analytical Chemistry 22 11 (2003)
4. Bro R. PARAFAC. Tutorial and applications. Chemometrics and Intelligent Laboratory Systems 38 (1997) 149-171
5. Kiers H., Berge J.T., and Bro R. Parafac2-Part I. A direct fitting algorithm for the Parafac2 model. Journal of Chemometrics 13 (1999) 275-294
6. Fabera N., Brob R., and Hopke P. Recent developments in ANDECOMP/PARAFAC algorithms: a critical review. Chemometrics and Intelligent Laboratory Systems 65 (2003) 119-137
7. Geladi P. Analysis of multi-way (multi-mode) data. Chemometrics and Intelligent Laboratory Systems 7 December (1-2) (1989) 11-30
8. Henrion R. N-way principal component analysis-theory, algorithms and applications. Chemometrics and Intelligent Laboratory Systems 25 September (1) (1994) 1-23
9. Pravdova V., Bouconb C., de Jong S., Walczak B., and Massart D.L. Three-way principal component analysis applied to food analysis: an example. Analytica Chimica Acta 462 (2002) 133-148
10. Barbieri P., Adami G., Piselli S., Gemiti F., and Reisenhofer E. A three-way principal factor analysis for assessing the time variability of freshwaters related to a municipal water supply. Chemometrics and Intelligent Laboratory Systems 62 (2002) 89-100
11. Flaten G.R., Grung B., and Kvalheim O.M. Multi-way exploration of regular environmental monitoring surveys. Chemometrics and Intelligent Laboratory Systems 77 (2005) 104-114
12. Stanimirova I., and Simeonov V. Modeling of environmental four-way data from air quality control. Chemometrics and Intelligent Laboratory Systems 77 (2005) 115-121
13. Tucker L.R. The extension of factor analysis to three-dimensional matrices. Contributions to Mathematical Psychology (1964), Holt, Rinehart and Winston, New York pp. 110-182
14. Bader B.W., and Kolda T.G. Algorithm 862: Matlab tensor classes for fast algorithm prototyping. ACM Transactions on Mathematical Software 32 4 (2006) 635-653
15. Kiers H.A.L. Towards a standardized notation and terminology in multiway analysis. Journal of Chemometrics 14 3 (2000) 105-122
16. Ross R.T., Lee C.-H., Davis C.M., Ezzeddine B.M., Fayyad E.A., and Leurgans S.E. Resolution of fluorescence spectra of plant pigment complexes using trilinear models. Biochimica et Biophysica Acta 1056 (1991) 317-320
17. Baunsgaard D., Andersson C.A., Arndal A., and Munck L. Multi-way chemometrics of mathematical separation of fluorescent colorants and colour precursors form spectrofluorimetry of beet sugar and beet sugar thick juice as validated by HPLC analysis. Food Chemistry 70 (2000) 113-121
18. Bro R. Exploratory study of sugar production using fluorescence spectroscopy and multi-way analysis. Chemometrics and Intelligent Laboratory Systems 46 (1999) 133-147
19. Andersen C.M., and Bro R. Practical aspects of PARAFAC modeling of fluorescence excitation-emission data. Journal of Chemometrics 17 4 (2003) 200-215
20. Leardi R., Armanino C., Lanteri S., and Alberotanza L. Three-mode principal component analysis of monitoring data from Venice lagoon. Journal of Chemometrics 14 (2000) 187-195
21. Singh K., Malik A., Singh V., and Sinha S. Multi-way data analysis of soils irrigated with wastewater-a case study. Chemometrics and Intelligent Laboratory Systems 83 (2006) 1-12
22. Dyrby M., Baunsgaard D., Bro R., and Engelsen S.B. Multiway chemometric analysis of the metabolic response to toxins monitored by NMR. Chemometrics and Intelligent Laboratory Systems 75 (2005) 79-89
23. Wong J.W.H., Cagney G., and Cartwright H.M. SpecAlign-processing and alignment of mass spectra datasets. Bioinformatics 21 (2005) 2088-2090
24. Wong J.W.H., and Cartwright H.M. An application of Fast Fourier Transform cross-correlation for the alignment of large chromatographic and spectral datasets. Analytical Chemistry 77 (2005) 5655-5661
25. Carpenter G.A., and Grossberg S. Adaptive resonance theory. In: Stuart C., and Shapiro (Eds). Encyclopedia of Artificial Intelligence. second ed. (1992), Wiley and Sons, New York 13-21
26. Carpenter G.A., Grossberg S., Markuzon N., Reynolds J.H., and Rosen D.B. Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks 3 5 (1992) 698-713