Application of independent components analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration

Journal of Food Engineering

Volumn 168, Issue , 2016, Pages 7-15

  Mishra, Puneet ^a   Cordella, Christophe B Y ^c   Rutledge, Douglas N ^c   Barreiro, Pilar ^a   Roger, Jean Michel ^b   Diezma, Belén ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b UMR ITAP   (France)

^c Université Paris Saclay   (France)

Author keywords

Adulteration; Peanut allergy; Powder food; Spectroscopy

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; FEATURE EXTRACTION; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; INFRARED DEVICES; OILSEEDS; SIGNAL PROCESSING; SILICATE MINERALS; SPECTROSCOPY;

ADULTERATION; FEATURE EXTRACTION METHODS; INDEPENDENT COMPONENTS; INDEPENDENT COMPONENTS ANALYSIS; INDUSTRIAL ENVIRONMENTS; NIR HYPERSPECTRAL IMAGING; PEANUT ALLERGIES; SIGNAL PROCESSING TECHNIQUE;

IMAGE PROCESSING;

ARACHIS HYPOGAEA; TRITICUM AESTIVUM;

EID: 84937611589     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2015.07.008     Document Type: Article

References (37)

1. F. Ammari, R. Bendoula, D. Jouan-Rimbaud Bouveresse, D.N. Rutledge, and J.-M. Roger 3D front face solid-phase fluorescence spectroscopy combined with independent components analysis to characterize organic matter in model soils Talanta 125 2014 146 152 10.1016/j.talanta.2014.02.049
2. F. Ammari, L. Redjdal, and D.N. Rutledge Detection of orange juice frauds using front-face fluorescence spectroscopy and independent components analysis Food Chem. 168 2015 211 217 10.1016/j.foodchem.2014.06.110
3. D.F. Barbin, G. ElMasry, D.-W. Sun, P. Allen, and N. Morsy Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging Innovative Food Sci. Emerg. Technol. 17 2013 180 191 10.1016/j.ifset.2012.11.001
4. R. Barnes, M. Dhanoa, and S. Lister Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra Appl. Spectrosc. 43 1989 772 777
5. A.J. Bell, and T.J. Sejnowski An information-maximisation approach to blind separation and blind deconvolution Neural Comput. 7 1995 1129 1159
6. M. Boiret, D.N. Rutledge, N. Gorretta, Y.-M. Ginot, and J.-M. Roger Application of independent component analysis on Raman images of a pharmaceutical drug product: pure spectra determination and spatial distribution of constituents J. Pharm. Biomed. Anal. 90 2014 78 84 10.1016/j.jpba.2013.11.025
7. A.W. Burks Peanut allergy Lancet 371 9623 2008 1538 1546 10.1016/S0140-6736(08)60659-5
8. Cardoso, Souloumiac, IEE proceedings-F 140, vol. 6, 1993, pp. 362-370.
9. Y.-K. Chuang, Y.-P. Hu, I.-C. Yang, S.R. Delwiche, Y.M. Lo, C.-Y. Tsai, and S. Chen Integration of independent component analysis with near infrared spectroscopy for evaluation of rice freshness J. Cereal Sci. 60 1 2014 238 242 10.1016/j.jcs.2014.03.005
10. C.B.Y. Cordella, and D. Bertrand SAISIR: a new general chemometric toolbox TrAC Trends Anal. Chem. 54 2014 75 82 10.1016/j.trac.2013.10.009
11. Y.-K. Chuang, I.-C. Yang, Y.M. Lo, C.-Y. Tsai, and S. Chen Integration of independent component analysis with near-infrared spectroscopy for analysis of bioactive components in the medicinal plant Gentiana scabra Bunge J. Food Drug Anal. 22 3 2014 336 344 10.1016/j.jfda.2014.01.021
12. A. Crépet, A. Papadopoulos, C.F. Elegbede, S. Ait-Dahmane, C. Loynet, G. Millet, and D.A. Moneret-Vautrin Mirabel: an integrated project for risk and cost/benefit analysis of peanut allergy Regul. Toxicol. Pharmacol. 71 2 2015 178 183 10.1016/j.yrtph.2014.12.006
13. Di Stefano, L., Bulgarelli, A., 1999. A simple and efficient connected components labeling algorithm. In: Image Analysis and Processing. Proceedings International Conference on, 1999. pp. 322-327. doi: http://dx.doi.org/10.1109/iciap.1999.797615.
14. Du, Q., 2004. Independent component analysis to hyperspectral image classification, vol. 5546, pp. 366-373, doi: http://dx.doi.org/10.1117/12.557129.
15. F.D. Finkelman Peanut allergy and anaphylaxis Curr. Opin. Immunol. 22 6 2010 783 788 10.1016/j.coi.2010.10.005
16. X. Fu, M.S. Kim, K. Chao, J. Qin, J. Lim, H. Lee, and Y. Ying Detection of melamine in milk powders based on NIR hyperspectral imaging and spectral similarity analyses J. Food Eng. 124 2014 97 104 10.1016/j.jfoodeng.2013.09.023
17. J. Herault, and C. Jutten Space or time adaptive signal processing by neural network models AIP Conf. Proc. 151 1986 206 211 10.1063/1.36258
18. Y. Huang, A.D. Whittaker, and R.E. Lacey Automation for food engineering: food quality quantization and process control CRC Series in Contemporary Food Science 2001 CRC Press Boca Raton, Fla
19. A. Hyvärinen, and E. Oja A fast fixed-point algorithm for independent component analysis Neural Comput. 9 1997 1483 1492
20. D. Jouan-Rimbaud Bouveresse, A. Moya-González, F. Ammari, and D.N. Rutledge Two novel methods for the determination of the number of components in independent components analysis models Chemom. Intell. Lab. Syst. 112 2012 24 32 10.1016/j.chemolab.2011.12.005
21. M. Kamruzzaman, D.-W. Sun, G. ElMasry, and P. Allen Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis Talanta 103 2013 130 136 10.1016/j.talanta.2012.10.020
22. S. Kang, K. Lee, J. Son, and M.S. Kim Detection of fecal contamination on leafy greens by hyperspectral imaging Proc. Food Sci. 1 2011 953 959 10.1016/j.profoo.2011.09.143
23. A. Kassouf, M. El Rakwe, H. Chebib, V. Ducruet, D.N. Rutledge, and J. Maalouly Independent components analysis coupled with 3D-front-face fluorescence spectroscopy to study the interaction between plastic food packaging and olive oil Anal. Chim. Acta 839 2014 14 25 10.1016/j.aca.2014.06.035
24. J. Lee, and H. Kang Flood fill mean shift: a robust segmentation algorithm Int. J. Control, Autom. Syst. 8 6 2010 1313 1319 10.1007/s12555-010-0617-6
25. S. Mahesh, D.S. Jayas, J. Paliwal, and N.D.G. White Hyperspectral imaging to classify and monitor quality of agricultural materials J. Stored Products Res. 61 2015 17 26 10.1016/j.jspr.2015.01.006
26. P. Mishra, A. Herrero-Langreo, P. Barreiro, J. Roger, B. Diezma, N. Gorretta, and L. Lleó Detection and quantification of peanut traces in wheat flour by near infrared hyperspectral imaging spectroscopy using principal-component analysis J. Near Infrared Spectrosc. 23 1 2015 15 22 10.1255/jnirs.1141
27. Y.B. Monakhova, A.M. Tsikin, S.P. Mushtakova, and M. Mecozzi Independent component analysis and multivariate curve resolution to improve spectral interpretation of complex spectroscopic data sets: application to infrared spectra of marine organic matter aggregates Microchem. J. 118 2015 211 222 10.1016/j.microc.2014.10.001
28. B. Osborne, T. Fearn, and P.H. Hindle Practical NIR spectroscopy with applications in food and beverage analysis 1993 Longman Scientific and Technical Harlow, UK
29. S. Piqueras, J. Burger, R. Tauler, and A. De Juan Relevant aspects of quantification and sample heterogeneity in hyperspectral image resolution Chemom. Intell. Lab. Syst. 117 2012 169 182
30. J. Qin, K. Chao, M.S. Kim, R. Lu, and T.F. Burks Hyperspectral and multispectral imaging for evaluating food safety and quality J. Food Eng. 118 2 2013 157 171 10.1016/j.jfoodeng.2013.04.001
31. A. Rohart, D. Jouan-Rimbaud Bouveresse, D.N. Rutledge, and C. Michon Spectrophotometric analysis of polysaccharide/milk protein interactions with methylene blue using independent components analysis Food Hydrocolloids 43 2015 769 776 10.1016/j.foodhyd.2014.08.007
32. D.N. Rutledge, and D. Jouan-Rimbaud Bouveresse Independent components analysis with the JADE algorithm TrAC Trends Anal. Chem. 50 2013 22 32 10.1016/j.trac.2013.03.013
33. P.M. Santos, E.R. Pereira-Filho, and L.E. Rodriguez-Saona Rapid detection and quantification of milk adulteration using infrared microspectroscopy and chemometrics analysis Food Chem. 138 1 2013 19 24 10.1016/j.foodchem.2012.10.024
34. G. Wang, Q. Ding, and Z. Hou Independent component analysis and its applications in signal processing for analytical chemistry TrAC Trends Anal. Chem. 27 4 2008 368 376 10.1016/j.trac.2008.01.009
35. D. Wu, H. Shi, Y. He, X. Yu, and Y. Bao Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn J. Food Eng. 119 3 2013 680 686 10.1016/j.jfoodeng.2013.06.039
36. D. Wu, and D.-W. Sun Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: a review - Part I: fundamentals Innovative Food Sci. Emerg. Technol. 19 2013 1 14 10.1016/j.ifset.2013.04.014
37. J.W. Yu, R. Kagan, N. Verreault, N. Nicolas, L. Joseph, Y. St. Pierre, and A. Clarke Accidental ingestions in children with peanut allergy J. Allergy Clin. Immunol. 118 2 2006 466 472 10.1016/j.jaci.2006.04.024