Integration of independent component analysis with near infrared spectroscopy for evaluation of rice freshness

Journal of Cereal Science

Volumn 60, Issue 1, 2014, Pages 238-242

  Chuang, Yung Kun ^a,b,c   Hu, Yi Ping ^a   Yang, I Chang ^b,c   Delwiche, Stephen R ^c   Lo, Yangming Martin ^b   Tsai, Chao Yin ^a   Chen, Suming ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF MARYLAND   (United States)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Freshness; Independent component analysis; Near infrared spectroscopy; Rice

Indexed keywords

EID: 84901934143     PISSN: 07335210     EISSN: 10959963     Source Type: Journal    
DOI: 10.1016/j.jcs.2014.03.005     Document Type: Article

References (28)

1. AACC International Approved Methods of Analysis. Method 02-02.02. Fat Acidity - Rapid Method, for Small Grains 2000, AACC International, St. Paul, MN, U.S.A. http://dx.doi.org/10.1094/AACCIntMethod-02-02.02, 11th ed,.
2. Al-Mbaideen A., Benaissa M. Determination of glucose concentration from NIR spectra using independent component regression. Chemom. Intell. Lab. Syst. 2011, 105:131-135.
3. Bao J., Shen Y., Jin L. Determination of thermal and retrogradation properties of rice starch using near-infrared spectroscopy. J.Cereal Sci. 2007, 46:75-81.
4. Cardoso J.F. High-order contrasts for independent component analysis. Neural Comput. 1999, 11:157-192.
5. Cardoso J.F., Souloumiac A. Blind beamforming for non-Gaussian signals. IEE Proc. F. 1993, 140:362-370.
6. Chen J., Wang X.Z. Anew approach to near-infrared spectral data analysis using independent component analysis. J.Chem. Inform. Comput. Sci. 2001, 41:992-1001.
7. Chen K.J., Huang M. Prediction of milled rice grades using Fourier transform near-infrared spectroscopy and artificial neural networks. J.Cereal Sci. 2010, 52:221-226.
8. Chen S., Hu Y.P., Yang I.C., Tsai C.Y., Chuang Y.K., Huang J.S., Wang C.W. Near infrared analysis of rice freshness. Proceedings of the 7th International Workshop on Nondestructive Quality Evaluation of Agricultural, Livestock and Fishery Products, Taipei, 22-37 December 2011 2011.
9. Comon P. Independent component analysis, a new concept?. Signal Process. 1994, 36:287-314.
10. Delwiche S.R. Protein content of single kernels of wheat by near-infrared reflectance spectroscopy. J.Cereal Sci. 1998, 27:241-254.
11. Delwiche S.R., Graybosch R.A. Identification of waxy wheat by near-infrared reflectance spectroscopy. J.Cereal Sci. 2002, 35:29-38.
12. Gustafsson M.G. Independent component analysis yields chemically interpretable latent variables in multivariate regression. J.Chem. Inform. Model. 2005, 45:1244-1255.
13. Hahn S., Yoon G. Identification of pure component spectra by independent component analysis in glucose prediction based on mid-infrared spectroscopy. Appl. Opt. 2006, 45:8374-8380.
14. Herault J., Jutten C. Space or time adaptive signal processing by neural network models. AIP Conference Proceedings 151 on Neural Networks for Computing 1986, 206-211.
15. Hsu A.N., Song S. Studies on the method of identification of new and old milled rices. Symposium on Rice Grain Quality 1988, 341-349.
16. Hu Y.P. Study of Rice Freshness Using Near-infrared Spectroscopy 2011, Master Thesis, Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei.
17. Hu Y.P., Chen S., Huang J.S., Wang C.W., Yang I.C., Tsai C.Y., Chuang Y.K. Near infrared analysis of rice freshness. Proceeding of 2011 Biomechatronics and Agricultural Machinery Engineering Conference, Chiayi, C-11 2011.
18. Hyvärinen A., Karhunen J., Oja E. Independent Component Analysis 2001, John Wiley and Sons, New York.
19. Hyvärinen A., Oja E. Independent component analysis: algorithms and applications. Neur. Networks 2000, 13:411-430.
20. Kaneko H., Arakawa M., Funatsu K. Development of a new regression analysis method using independent component analysis. J.Chem. Inform. Model. 2008, 48:534-541.
21. Kardamakis A.A., Mouchtaris A., Pasadakis N. Linear predictive spectral coding and independent component analysis in identifying gasoline constituents using infrared spectroscopy. Chemom. Intell. Lab. Syst. 2007, 89:51-58.
22. Pasadakis N., Kardamakis A.A. Identifying constituents in commercial gasoline using Fourier transform-infrared spectroscopy and independent component analysis. Anal. Chim. Acta 2006, 578:250-255.
23. Salgó A., Gergely S. Analysis of wheat grain development using NIR spectroscopy. J.Cereal Sci. 2012, 56:31-38.
24. Takano K. Studies on the mechanism of lipid-hydrolysing in rice bran. J.Jpn. Soc. Food Sci. Technol. - Nippon Shokuhin Kagaku Kogaku Kaishi 1989, 36:519-524.
25. Vittoz E.A., Arreguit X. CMOS Integration of Herault-Jutten Cells for Separation of Sources. Analog VLSI Implementation of Neural Systems 1989, 57-83.
26. Westad F. Independent component analysis and regression applied on sensory data. J.Chem. 2005, 19:171-179.
27. Westad F., Kermit M. Cross validation and uncertainty estimates in independent component analysis. Anal. Chim. Acta 2003, 490:341-354.
28. Zhou Z., Robards K., Helliwell S., Blanchard C. Ageing of stored rice: changes in chemical and physical attributes. J.Cereal Sci. 2002, 35:65-78.