Selection of efficient wavelengths in NIR spectrum for determination of dry matter in kiwi fruit

Maejo International Journal of Science and Technology

Volumn 4, Issue 1, 2010, Pages 113-124

  Qiang, Lü ^a   Mingjie, Tang ^a   Jianrong, Cai ^a   Huazhu, Lu ^a   Chaitep, Sumpun ^b  

^a JIANGSU UNIVERSITY   (China)

^b CHIANG MAI UNIVERSITY   (Thailand)

Author keywords

Dry matter; Genetic algorithm siPLS; Kiwi fruit; NIR spectroscopy; Partial least squares (PLS); Synergy interval partial least squares (siPLS)

Indexed keywords

EID: 77950889202     PISSN: 19057873     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. V. A. McGlone, R. B. Jordan, R. Seelye and P. J. Martinsen, Comparing density and NIR methods for measurement of kiwi fruit dry matter and soluble solids content, Postharvest Biol. Technol., 2002, 26, 191-198.
2. D. C. Slaughter and C. H. Crisosto, Nondestructive internal quality assessment of kiwi fruit using near-infrared spectroscopy, Semin. Food Anal., 1998, 3, 131-140.
3. V. A. McGlone, C. J. Clark and R. B. Jordan, Comparing density and VNIR methods for predicting quality parameters of yellow-fleshed kiwi fruit (Actinidia chinensis), Postharvest Biol. Technol., 2007, 46, 1-9.
4. J. Burdon, D. McLeod, N. Lallu, J. Gamble, M. Petley and A. Gunson, Consumer evaluation of "Hayward" kiwi fruit of different at-harvest dry matter contents, Postharvest Biol. Technol., 2004, 34, 245-255.
5. R. B. Jordan, E. F. Walton, K. U. Klages and R. J. Seelye, Postharvest fruit density as an indicator of dry matter and ripened soluble solids of kiwi fruit, Postharvest Biol. Technol., 2000, 20, 163-173.
6. V. A. McGlone and S. Kawano, Firmness, dry-matter and soluble-solids assessment of postharvest kiwi fruit by NIR spectroscopy, Postharvest Biol. Technol., 1998, 13, 131-141.
7. I. W. Budiastra, Y. Ikeda and T. Nishizu, Prediction of individual sugars and malic acid concentrations of apples and mangoes by the developed NIR reflectance system, J. Jpn. Soc. Agric. Machine., 1998, 60, 117-127.
8. V. Steinmetz, J. M. Roger, E. Molto and J. Blasco, On-line fusion of colour camera and spectrophotometer for sugar content prediction of apples, J. Agric. Eng. Res., 1999, 73, 207-216.
9. A. Peirs, N. Scheerlinck and B. M. Nicolaï, Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids contents, Postharvest Biol. Technol., 2003, 30, 233-248.
10. B. Park, J. A. Abbott, K. J. Lee, C. H. Choi and K. H. Choi, Near-infrared diffuse reflectance for quantitative and qualitative measurement of soluble solids and firmness of delicious and dala apples, Trans. Am. Soc. Agric. Eng., 2003, 46, 1721-1731.
11. C. J. Clark, V. A. McGlone, H. N. De Silva, M. A. Manning, J. Burdon and A. D. Mowat, Prediction of storage disorders of kiwi fruit (Actinidia chinensis) based on visible-NIR spectral characteristics at harvest, Postharvest Biol. Technol., 2004, 32, 147-158.
12. P. N. Schaare and D. G. Fraser, Comparison of reflectance, interactance and transmission modes of visible-near infrared spectroscopy for measuring internal properties of kiwi fruit (Actinidia chinensis), Postharvest Biol. Technol., 2000, 20, 175-184.
13. J. Lammertyn, A. Peirs, J. D. Baerdemaeker and B. Nicolaï, Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment, Postharvest Biol. Technol., 2000, 18, 121-132.
14. A. Peirs, J. Lammertyn, K. Ooms and B. M. Nicolaï, Prediction of the optimal picking date of different apple cultivars by means of VIS/NIR-spectroscopy, Postharvest Biol. Technol., 2001, 21, 189-199.
15. Q. S. Chen, J. W. Zhao, X. Y. Huang, H. D. Zhang and M. H. Liu, Simultaneous determination of total polyphenols and caffeine contents of green tea by near-infrared reflectance spectroscopy, Microchem. J., 2006, 83, 42-47.
16. Q. S. Chen, J. W. Zhao, H. D. Zhang and X. Y. Wang, Feasibility study on qualitative and quantitative analysis in tea by near infrared spectroscopy with multivariate calibration, Anal. Chim. Acta., 2006, 572, 77-84.
17. C. Abrahamsson, J. Johansson, A. Sparén and F. Lindgren, Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets, Chemom. Intell. Lab. Syst., 2003, 69, 3-12.
18. O. Kleynen, V. Leemans and M. F. Destain, Selection of the most efficient wavelength bands for 'Jonagold' apple sorting, Postharvest Biol. Technol., 2003, 30, 221-232.
19. L. Nørgaard, A. Saudland, J. Wagner, J. P. Nielsen, L. Munck and S. B. Engelsen, Interval partial least-squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy, Appl. Spectrosc., 2000, 54, 413-419.
20. R. Leardi and L. Nørgaard, Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions, J. Chemom., 2004, 18, 486-497.
21. R. Leardi and A. L. González, Genetic algorithms applied to feature selection in PLS regression: How and when to use them, Chemom. Intell. Lab. Syst., 1998, 41, 195-207.
22. R. Leardi, Application of genetic algorithm-PLS for feature selection in spectral data sets, J. Chemom., 2000, 14, 643-655.
23. X. L. Chu, H. F. Yuan and W. Z. Lu, Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique, Prog. Chem., 2004, 4, 528-542.
24. X. B. Zou, J. W. Zhao and Y. X. Li, Selection of the efficient wavelength regions in FT-NIR spectroscopy for determination of SSC of 'Fuji' apple based on BiPLS and FiPLS models, Vib. Spectrosc., 2007, 44, 220-227.