Actas de congresos
An Overview Of Signal Processing Issues In Chemical Sensing
Registro en:
9781479903566
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings. , v. , n. , p. 8742 - 8746, 2013.
15206149
10.1109/ICASSP.2013.6639373
2-s2.0-84890484448
Autor
Duval L.
Duarte L.T.
Jutten C.
Institución
Resumen
This tutorial paper1 aims at summarizing some problems, ranging from analytical chemistry to novel chemical sensors, that can be addressed with classical or advanced methods of signal and image processing. We gather them under the denomination of 'chemical sensing'. It is meant to introduce the special session 'Signal Processing for Chemical Sensing' with a large overview of issues which have been and remain to be addressed in this application domain, including chemical analysis leading to PARAFAC/tensor methods, hyper spectral imaging, ion-sensitive sensors, artificial nose, chromatography, mass spectrometry, etc. For enlarging and illustrating the points of view of this tutorial, the invited papers of the session consider other applications (NMR, Raman spectroscopy, recognition of explosive compounds, etc.) addressed by various methods, e.g. source separation, Bayesian, and exploiting typical chemical signal priors like positivity, linearity, unit-concentration or sparsity. © 2013 IEEE.
8742 8746 IEE Signal Processing Society Amigo, J.M., Skov, T., Bro, R., Chromathography: Solving chromatographic issues with mathematical models and intuitive graphics (2010) Chem. Rev., 110 (8), pp. 4582-4605 Bro, R., PARAFAC. Tutorial and applications (1997) Chemometr. Intell. Lab. Syst., 38 (2), pp. 149-171 Savitzky, A., Golay, M.J.E., Smoothing and differentiation of data by simplified least squares procedures (1964) Anal. Chem., 36 (8), pp. 1627-1639. , July Riordon, J., Zubritsky, E., Newman, A., Analytical chemistry looks at 10 seminal papers (2000) Anal. Chem., 72 Chen, D., Chen, Y., Xue, D., Digital fractional order savitzky-golay differentiator (2011) IEEE Trans. Circ. Syst. II, 58 (11), pp. 758-762. , Nov Schafer, R.W., What is a savitzky-golay filter (2011) IEEE Signal Process. Mag., 28 (4), pp. 111-117. , Jul Wold, S., Chemometrics What do we mean with it, and what do we want from it (1995) Chemometr. Intell. Lab. Syst., 30, pp. 109-115 Felinger, A., (1998) Data Analysis and Signal Processing in Chromatography, , Elsevier Lynch, J., (2003) Physico-Chemical Analysis of Industrial Catalysts A Practical Guide to Characterisation, , Edition Technip, Sep Chau, F.-T., Liang, Y.-Z., Gao, J., Shao, X.-G., (2004) Chemometrics: From Basics to Wavelet Transform, 164. , Wiley-Interscience Brown, S.D., Tauler, R., Walczak, B., (2009) Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, , Elsevier Liu, Z., Phillips, J.B., Comprehensive two-dimensional gas chromatography using an on-column thermal modulator interface (1991) J. Chromatogr. Sci., 29 (6), pp. 227-231 Vendeuvre, C., Bertoncini, F., Duval, L., Duplan, J.-L., Thiebaut, D., Hennion, M.-C., Comparison of conventional gas chromatography and comprehensive twodimensional gas chromatography for the detailed analysis of petrochemical samples (2004) J. Chrom. A, 1056 (1-2), pp. 155-162 Reichenbach, S.E., Ni, M., Zhang, D., Ledford, E.B., Image background removal in comprehensive two-dimensional gas chromatography (2003) J. Chrom. A, 985 (1-2), pp. 47-56 Schoenmakers, P.J., Oomen, J.L.M.M., Blomberg, J., Genuit, W., Van Velzen, G., Comparison of comprehensive two-dimensional gas chromatography and gas chromatography-mass spectrometry for the characterization of complex hydrocarbon mixtures (2000) J. Chrom. A, 892 (1-2), pp. 29-46 Gottschalk, G., Zukunftsaspekte der Analytik. Moderne Grundlagen und Ziele (1972) Fresenius Z. Anal. Chem., 258, pp. 1-12 Phillips, J.B., Signal processing techniques in analytical instruments (1982) Trends Anal. Chem., 1 (7), pp. 163-166 Wentzell, P.D., Brown, C.D., Signal processing in analytical chemistry (2000) Encyclopedia of Analytical Chemistry, , R. A. Meyers, Ed. JohnWiley &Sons Ltd Oho, E., Reduction in acquisition time of scanning electron microscopy image using complex hysteresis smoothing (2004) Scanning, 26 (3), pp. 140-146 Davis, J.M., Stoll, D.R., Carr, P.W., Effect of first-dimension undersampling on effective peak capacity in comprehensive two-dimensional separations (2008) Anal. Chem., 80 (2), pp. 461-473 Beens, J., Adahchour, M., Vreuls, R.J.J., Van Altena, K., Brinkman, U., Simple, non-moving modulation interface for comprehensive two-dimensional gas chromatography (2001) J. Chrom. A, 919 (1), pp. 127-132 Shao, X.-G., Leung, A.K.-M., Chau, F.-T., Wavelet: A new trend in chemistry (2003) Acc. Chem. Res., 36, pp. 276-283 Karim, S.A.A., Ismail, M.T., Compression of chemical signal using wavelet transform (2009) Eur. J. Sci. Res., 36, pp. 513-520 Candes, E.J., Wakin, M.B., An introduction to compressive sampling (2008) IEEE Signal Process. Mag., pp. 21-30 Holland, D.J., Bostock, M.J., Gladden, L.F., Nietlispach, D., Fast multidimensional NMR spectroscopy using compressed sensing (2011) Angew. Chem. Int. Ed., 50 (29), pp. 6548-6551 Kazimierczuk, K., Orekhov, V.Y., Accelerated nmr spectroscopy by using compressed sensing (2011) Angew. Chem. Int. Ed., 50 (24), pp. 5556-5559 Qu, X., Guo, D., Cao, X., Cai, S., Chen, Z., Reconstruction of self-sparse 2d nmr spectra from undersampled data in the indirect dimension (2011) Sensors, 11, pp. 8888-8909 Grob, R.L., Barry, E.F., (2004) Modern Practice of Gas Chromatography, , Wiley-Interscience, 4th edition McNulty, D.A., Macfie, H.J.H., The effect of different baseline estimators on the limit of quantification in chromatography (1997) J. Chemometrics, 11 (1), pp. 1-11 Mazet, V., Carteret, C., Brie, D., Idier, J., Humbert, B., Background removal from spectra by designing and minimising a non-quadratic cost function (2005) Chemometr. Intell. Lab. Syst., 76 (2), pp. 121-133 Antoniadis, A., Bigot, J., Lambert-Lacroix, S., Peaks detection and alignment for mass spectrometry data (2010) J. Soc. Fr. Stat., 151 (1), pp. 17-37 Baek, S.-J., Park, A., Shen, A., Hu, J., A background elimination method based on linear programming for raman spectra (2011) J. Raman Spectros Schulze, H.G., Foist, R.B., Okuda, K., Ivanov, A., Turner, R.F.B., A modelfree, fully automated baseline-removal method for raman spectra (2011) Appl. Spectrosc., 65 (1), pp. 75-84. , Jan Komsta, L., Comparison of several methods of chromatographic baseline removal with a new approach based on quantile regression (2011) Chromatographia, 73, pp. 721-731 Alsberg, B.K., Woodward, A.M., Kell, D.B., An introduction to wavelet transforms for chemometricians: A time-frequency approach (1997) Chemometr. Intell. Lab. Syst., 37 (2), pp. 215-239 Danielsson, R., Bylund, D., Markides, K.E., Matched filtering with background suppression for improved quality of base peak chromatograms and mass spectra in liquid chromatography-mass spectrometry (2002) Anal. Chim. Acta, 454 (2), pp. 167-184 Walczak, B., (2000) Wavelets in Chemistry, , Elsevier Albert, K.J., Lewis, N.S., Schauer, C.L., Sotzing, G.A., Stitzel, S.E., Vaid, T.P., Walt, D.R., Cross-reactive chemical sensor arrays (2000) Chem. Rev., 100 (7), pp. 2595-2626. , Jul Comon, P., Jutten, C., Handbook of blind source separation (2010) Independent Component Analysis and Applications, , Academic Press, Oxford UK, Burlington USA, ISBN: 978-0-12-374726-6, 19 chapters, 830 pages. hal-00460653 Grundler, P., (2007) Chemical Sensors: An Introduction for Scientists and Engineers, , Springer Bedoya, G., Jutten, C., Bermejo, S., Cabestany, J., Improving semiconductorbased chemical sensor arrays using advanced algorithms for blind source separation (2004) Proc. Sensors Indust. Conf., pp. 149-154 Bedoya, G., Bermejo, S., Cabestany, J., Multichannel blind signal separation in semiconductor-based GAS sensor arrays (2005) Int. Work-Conf. Artif. Neural Networks, pp. 1059-1066 Duarte, L.T., Jutten, C., Moussaoui, S., A bayesian nonlinear source separation method for smart ion-selective electrode arrays (2009) IEEE Sensor. J., 9 (12), pp. 1763-1771 Duarte, L.T., Jutten, C., Temple-Boyer, P., Benyahia, A., Launay, J., A dataset for the design of smart ion-selective electrode arrays for quantitative analysis (2010) IEEE Sensor. J., 10 (12), pp. 1891-1892. , Dec Moussaoui, S., Brie, D., Mohammad-Djafari, A., Carteret, C., Separation of non-negative mixture of non-negative sources using a bayesian approach and mcmc sampling (2006) IEEE Trans. Signal Process., 54 (11), pp. 4133-4145 Van Nederkassel, A.M., Daszykowski, M., Eilers, P.H.C., Vander Heyden, Y., A comparison of three algorithms for chromatograms alignment (2006) J. Chrom. A, 1118 (2), pp. 199-210 Nagle, H.T., Gutierrez-Osuna, R., Schiffman, S.S., The how and why of electronic noses (1998) IEEE Spectrum, 35 (9), pp. 22-31. , Sep Vlasov, Y.G., Legin, A.V., Rudnitskaya, A.M., D'amico, A., Di Natale, C., Electronic tongue: New analytical tool for liquid analysis on the basis of nonspecific sensors and methods of pattern recognition (2000) Sensor. Actuator. B Chem., 65, pp. 235-236 Pardo, M., Sberveglieri, G., Learning from data: A tutorial with emphasis on modern pattern recognition methods (2002) IEEE Sensor. J., 2 (3), pp. 203-217. , Jun Samoilov, M., Arkin, A., Ross, J., Signal processing by simple chemical systems (2002) J. Phys. Chem. A, 106 (43), pp. 10205-10221 http://www.laurent-duval.eu/siva-paper-2013-signalprocessing-chemical- sensing.htmlhttp://www.olfactionsociety.org/content/ieee-taskforce-mputational- intelligence-chemometrics-andchemical-sensing