Rapid identification of edible oil and swill-cooked dirty oil by using near-infrared spectroscopy and sparse representation classification

Analytical Methods

Volumn 7, Issue 6, 2015, Pages 2367-2372

  Zhou, Yang ^a,b   Liu, Tiebing ^a   Li, Jinrong ^a   Chen, Zhengwei ^a  

^a ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; SPECTRUM ANALYSIS;

CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; DICTIONARY TRAININGS; LINEAR DISCRIMINANT ANALYSIS; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSES (PLSDA); RECONSTRUCTION ERROR; REDUNDANT DICTIONARIES; SPARSE REPRESENTATION;

OILS AND FATS;

EID: 84924970864     PISSN: 17599660     EISSN: 17599679     Source Type: Journal    
DOI: 10.1039/c4ay02900c     Document Type: Article

References (21)

1. W. Cao X. Sun F. Chen B. Xue W. Chen Q. Jin X. Wang Prospect on discerning technology of swill-cooked dirty oil China Oils Fats 2012 37 2
2. Y. H. Wei J. Y. Zhang T. C. Dai T. H. Tu L. G. Luo Determination of chlorine in hogwash oil and edible oil by ion chromatography J. Food Sci. 2011 32 213
3. R. M. Maggio L. Cerretani E. Chiavaro T. S. Kaufman A. Bendini A novel chemometric strategy for the estimation of extra virgin olive oil adulteration with edible oils Food Control 2010 21 890
4. E. Lankmayra J. Mocakb K. Serdtc B. Ballab T. Wenzla D. Bandonienea M. Gfrerera S. Wagnerd Chemometrical classification of pumpkin seed oils using UV-Vis, NIR and FTIR spectra J. Biochem. Biophys. Methods 2004 61 95
5. N. Dupuya O. Galtier D. Ollivier P. Vanloota J. Artauda Comparison between NIR, MIR, concatenated NIR and MIR analysis and hierarchical PLS model. Application to virgin olive oil analysis Anal. Chim. Acta 2010 666 23
6. M. Casalea N. Sinelli P. Oliveri V. D. Egidiob S. Lanteria Chemometrical strategies for feature selection and data compression applied to NIR and MIR spectra of extra virgin olive oils for cultivar identification Talanta 2010 80 1832
7. B. Chen P. Tian D. L. Lu Z. Q. Zhou M. L. Shao Feasibility study of discriminating edible vegetable oils by 2D-NIR Anal. Methods 2012 4 4310
8. J. Gromadzka W. Wardencki Trends in Edible Vegetable Oils Analysis. Part B. Application of Different Analytical Techniques Pol. J. Food Nutr. Sci. 2011 61 89
9. J. He W. T. Xu Y. Shang P. Y. Zhu X. H. Mei W. Y. Tian K. L. Huang Development and optimization of an efficient method to detect the authenticity of edible oils Food Control 2013 31 71
10. M. Bevilacqua R. Nescatelli R. Bucci A. D. Magri A. L. Magri F. Marini Chemometric Classification Techniques as a Tool for Solving Problems in Analytical Chemistry J. AOAC Int. 2014 97 19
11. J. Wright A. Y. Yang A. Ganesh S. S. Sastry Y. Ma Robust face recognition via sparse representation IEEE Trans. Pattern Anal. Mach. Intell. 2009 31 210
12. A. Wagner J. Wright A. Ganesh Z. H. Zhou H. Mobahi Y. Ma Toward a practical face recognition system: robust alignment and illumination by sparse representation IEEE Trans. Pattern Anal. Mach. Intell. 2012 34 372
13. J. Jiang G. Haitao J. Liangwei G. Changxin S. Nong Semi-supervised discriminant analysis and sparse representation based self training for face recognition Optik 2014 125 2170
14. Y. Zhou S. G. Dai J. Lv T. B. Liu Y. Shi Application of Training Dictionary and Sparse Representation in Diesel Property Detection Using Near-infrared Spectroscopy Acta Chim. Sin. 2012 70 1969
15. C. Pingmei W. Guinan Z. Hongjuan K-SVD with reference: an initialization method for dictionary learning Neural Comput. Appl. 2014 25 1263
16. L. Bo S. Yi W. Zhenghua L. Jia Sufficient conditions for generalized orthogonal matching pursuit in noisy case Signal. Process. 2015 108 111
17. K. Skretting K. Engan Recursive least squares dictionary learning algorithm IEEE Trans. Signal Process. 2010 58 2121
18. J. A. Tropp Greed is good: algorithmic results for sparse approximation IEEE Trans. Inf. Theory 2004 50 2231
19. M. Elad M. Aharon Image denoising via sparse and redundant representations over learned dictionaries IEEE Trans. Image Process. 2006 15 3736
20. B. Marta M. Federico Local classification: locally weighted-partial least squares-discriminant analysis (LW-PLS-DA) Anal. Chim. Acta 2014 838 20
21. H. G. Paulo D. Dias A. G. Adriano F. P. Marcelo S. F. B. Beatriz C. U. A. Mario Simultaneous Classification of Teas According to Their Varieties and Geographical Origins by Using NIR Spectroscopy and SPA-LDA Food Anal. Method. 2014 7 1712