Variable selection for partial least squares analysis of soluble solids content in watermelon using near-infrared diffuse transmission technique

Journal of Food Engineering

Volumn 118, Issue 4, 2013, Pages 387-392

  Jie, Dengfei ^a   Xie, Lijuan ^a   Fu, Xiaping ^a   Rao, Xiuqin ^a   Ying, Yibin ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Genetic algorithm (GA); Near infrared spectroscopy (NIRS); Nondestructive detection; Partial least squares (PLS); Watermelon

Indexed keywords

MULTIPLICATIVE SCATTER CORRECTION; NEAR INFRARED SPECTROMETER; NONDESTRUCTIVE DETECTION; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES ANALYSIS; PARTIAL LEAST-SQUARES REGRESSION; UNINFORMATIVE VARIABLE ELIMINATIONS; WATERMELON;

GENETIC ALGORITHMS; INFRARED DEVICES; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS;

QUALITY CONTROL;

CITRULLUS LANATUS VAR. LANATUS;

EID: 84878631845     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.04.027     Document Type: Article

References (29)

1. M.C.U. Araújo, T.C.B. Saldanha, R.K.H. Galvão, T. Yoneyama, H.C. Chame, and V. Visani The successive projections algorithm for variable selection in spectroscopic multicomponent analysis Chemometrics and Intelligent Laboratory Systems 57 2 2001 65 73
2. R.J. Barnes, M.S. Dhanoa, and S.J. Lister Standard normal variate transformation and detrending of near-infrared diffuse reflectance spectra Applied Spectroscopy 43 5 1989 772 777
3. M. Blanco, J. Coello, H. Iturriaga, S. Maspoch, and J. Pagès NIR calibration in non-linear systems: different PLS approaches and artificial neural networks Chemometrics and Intelligent Laboratory Systems 50 1 2000 75 82
4. W.S. Cai, Y.K. Li, and X.G. Shao A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra Chemometrics and Intelligent Laboratory Systems 90 2 2008 188 194
5. V. Centner, D.L. Massart, O.E. de Noord, S. de Jong, B.M. Vandeginste, and C. Sterna Elimination of uninformative variables for multivariate calibration Analytical Chemistry 68 21 1996 3851 3858
6. D. Cozzolino, M. Kwiatkowski, E. Waters, and M. Gishen A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition Analytical and Bioanalytical Chemistry 387 6 2007 2289 2295
7. M.C. Denham Choosing the number of factors in partial least squares regression estimating and minimizing the mean squared error of prediction Journal of Chemometrics 14 4 2000 351 361
8. B. Diezma-Iglesias, M. Ruiz-Altisent, and P. Barreiro Detection of internal quality in seedless watermelon by acoustic impulse response Biosystems Engineering 88 2 2004 221 230
9. M. Golic, K. Walsh, and P. Lawson Short-wavelength near-infrared spectra of sucrose, glucose, and fructose with respect to sugar concentration and temperature Applied Spectroscopy 57 2 2003 139 145
10. W.C. Guo, S.O. Nelson, S. Trabelsi, and S.J. Kays Dielectric properties of honeydew melons and correlation with quality Journal of Microwave Power & Electromagnetic Energy 41 2 2007 44 54
11. D.M. Haaland, and E.V. Thomas Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information Analytical Chemistry 60 11 1988 1193 1202
12. I. Helland Partial Least Squares regression, Encyclopedia of Statistical Sciences 2004 John Wiley & Sons, Inc.
13. I.S. Helland, T. Næs, and T. Isaksson Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data Chemometrics and Intelligent Laboratory Systems 29 2 1995 233 241
14. T. Isaksson, and T. Næs The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy Applied Spectroscopy 42 7 1988 1273 1284
15. K. Kato Electrical density sorting and estimation of soluble solids content of watermelon Journal of Agricultural and Engineering Research 67 2 1997 161 170
16. S. Kuroki, M. Tohro, and N. Sakurai Monitoring of the elasticity index of melon fruit in a greenhouse Journal of the Japanese Society for Horticultural Science 75 5 2006 415 420
17. R. Leardi Application of genetic algorithm-PLS for feature selection in spectral data sets Journal of Chemometrics 14 5-6 2000 643 655
18. R. Leardi, and A. Lupiáñez González Genetic algorithms applied to feature selection in PLS regression: how and when to use them Chemometrics and Intelligent Laboratory Systems 41 2 1998 195 207
19. H.J. Lin, and Y.B. Ying Theory and application of near infrared spectroscopy in assessment of fruit quality: a review Sensing and Instrumentation for Food Quality and Safety 3 2 2009 130 141
20. S.O. Nelson, W.C. Guo, S. Trabelsi, and S.J. Kays Dielectric spectroscopy of watermelons for quality sensing Measurement Science and Technology 18 7 2007 1887 1892
21. K. Saito, T. Miki, S. Hayashi, H. Kajikawa, M. Shimada, Y. Kawate, and M. Suzuki Application of magnetic resonance imaging to non-destructive void detection in watermelon Cryogenics 36 12 1996 1027 1031
22. A. Savitzky, and M.J.E. Golay Smoothing and differentiation of data by simplified least squares procedures Analytical Chemistry 36 8 1964 1627 1639
23. T. Sun, K. Huang, H.R. Xu, and Y.B. Ying Research advances in nondestructive determination of internal quality in watermelon/melon: a review Journal of Food Engineering 100 4 2010 569 577
24. H. Swierenga, F. Wülfert, O.E. de Noord, A.P. de Weijer, A.K. Smilde, and L.M.C. Buydens Development of robust calibration models in near infra-red spectrometric applications Analytica Chimica Acta 411 1-2 2000 121 135
25. M. Taniwaki, M. Takahashi, and N. Sakurai Determination of optimum ripeness for edibility of postharvest melons using nondestructive vibration Food Research International 42 1 2009 137 141
26. H.Q. Tian, Y.B. Ying, H.S. Lu, X.P. Fu, and H.Y. Yu Measurement of soluble solids content in watermelon by Vis/NIR diffuse transmittance technique Journal of Zhejiang University Science B 8 2 2007 105 110
27. I. Tlili, C. Hdider, M.S. Lenucci, R. Ilahy, H. Jebari, and G. Dalessandro Bioactive compounds and antioxidant activities during fruit ripening of watermelon cultivars Journal of Food Composition and Analysis 24 7 2011 923 928
28. Q.S. Xu, Y.Z. Liang, and Y.P. Du Monte Carlo cross-validation for selecting a model and estimating the prediction error in multivariate calibration Journal of Chemometrics 18 2 2004 112 120
29. H. Xu, Z.C. Liu, W.S. Cai, and X.G. Shao A wavelength selection method based on randomization test for near-infrared spectral analysis Chemometrics and Intelligent Laboratory Systems 97 2 2009 189 193