Preliminary study on the application of near infrared spectroscopy and pattern recognition methods to classify different types of apple samples

Food Chemistry

Volumn 128, Issue 2, 2011, Pages 555-561

  Luo, Weiqi ^a   Huan, Shuangyan ^a   Fu, Haiyan ^a   Wen, Guoli ^a   Cheng, Hanwen ^a   Zhou, Jingliang ^a   Wu, Hailong ^a   Shen, Guoli ^a   Yu, Ruqin ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Apple; MWPLSDA; Near infrared fibre optic technology; Pattern recognition

Indexed keywords

APPLE; CLASSIFICATION MODELS; FIBRE OPTIC; GEOGRAPHICAL ORIGINS; K NEAREST NEIGHBOURS (K-NN); MOVING WINDOW; MWPLSDA; NEAR INFRARED; PARTIAL LEAST SQUARES; PATTERN RECOGNITION METHOD;

DISCRIMINANT ANALYSIS; FRUITS; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; PATTERN RECOGNITION;

LEAST SQUARES APPROXIMATIONS;

ACCURACY; APPLE; ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; FIBER OPTICS; FOOD ANALYSIS; INTERMETHOD COMPARISON; MOVING WINDOW PARTIAL LEAST SQUARES DISCRIMINANT ANALYSIS; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PATTERN RECOGNITION;

MALUS X DOMESTICA;

EID: 79955597264     PISSN: 03088146     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodchem.2011.03.065     Document Type: Article

References (33)

1. Amendolia, S. R., Cossu, G., Ganadu, M. L., Golosio, B., Masala, G. L., & Mura, G. M. (2003). A comparative study of K-nearest neighbour, support vector machine and multi-layer perceptron for thalassemia screening. Chemometrics and Intelligent Laboratory Systems, 69, 13-20. (Pubitemid 37324882)
2. Berrueta, L. A., Alonso-Salces, R. M., & Héberger, K. (2007). Supervised pattern recognition in food analysis. Journal of Chromatography A, 1158, 196-214. (Pubitemid 47021153)
3. Bobelyn, E., Serban, A. S., Nicu, M., Lammertyn, J., Nicolai, B. M., & Saeys, W. (2010). Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance. Postharvest Biology and Technology, 55, 133-143.
4. Cen, H. Y., He, Y., & Huang, M. (2007). Combination and comparison of multivariate analysis for the identification of orange varieties using visible and near infrared reflectance spectroscopy. European Food Research and Technology, 225, 699-705. (Pubitemid 47197977)
5. Clark, C. J., McGlone, V. A., & Jordan, R. B. (2003). Detection of brownheart 'Braeburn' apple by transmission NIR spectroscopy. Postharvest Biology and Technology, 28, 87-96.
6. Cozzolino, D., Kwiatkowski, M. J., Parker, M., Cynkar, W. U., Dambergs, R. G., Gishen, M., et al. (2004). Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy. Analytica Chimica Acta, 513, 73-80. (Pubitemid 38624469)
7. Fu, H. Y., Huan, S. Y., Lu, X., Jiang, J. H., Wu, H. L., Shen, G. L., et al. (2009). Construction of an efficacious model for a nondestructive identification of traditional Chinese medicines Liuwei Dihuang Pills from different manufacturers using near-infrared spectroscopy and moving window partial least-squares discriminant analysis. Analytical Sciences, 25, 1143-1148.
8. Fu, H. Y., Huan, S. Y., Lu, X., Tang, L. J., Jiang, J. H., Wu, H. L., et al. (2007). Moving window partial least-squares discriminant analysis for identification of different kinds of bezoar samples by near infrared spectroscopy and comparison of different pattern recognition methods. Near infrared spectroscopy, 15, 291-297.
9. Han, D. H., Tu, R. L., Lu, C., Liu, X. X., & Wen, Z. H. (2006). Nondestructive detection of brown core in the Chinese pear 'Yali' by transmission visible-NIR spectroscopy. Food Control, 17, 604-608.
10. He, Y., Li, X. L., & Deng, X. F. (2007). Discrimination of varieties of tea using near infrared spectroscopy by principal component analysis and BP model. Journal of Food Engineering, 79, 1238-1242. (Pubitemid 44738216)
11. HolmstrÖm, H. (2002). Estimation of single-tree characteristics using the kNN method and plotwise aerial photograph interpretations. Forest Ecology and Management, 167, 303-314.
12. Hyson, D., Studebaker-Hallman, D., Davis, P. A., & Gershwin, M. E. (2000). Apple juice consumption reduces plasma low-density lipoprotein oxidation in healthy men and women. Journal of Medicinal Food, 3, 159-166. (Pubitemid 32164690)
13. Jiang, J. H., Berry, R. J., Siesler, H. W., & Ozaki, Y. (2002). Wavelength interval selection in multicomponent spectral analysis by moving window partial leastsquares regression with applications to mid-infrared and near-infrared spectroscopic data. Analytical Chemistry, 74, 3555-3565.
14. Karlsen, A. M., Aaby, K., Sivertsen, H., Baardseth, P., & Ellekjær, M. R. (1999). Instrumental and sensory analysis of fresh Norwegian and imported apples. Food Quality and Preference, 10, 305-314. (Pubitemid 129594812)
15. Kim, J., Mowat, A., Poole, P., & Kasabov, N. (2000). Linear and non-linear pattern recognition models for classification of fruit from visible-near infrared spectra. Chemometrics and Intelligent Laboratory Systems, 51, 201-216. (Pubitemid 30421221)
16. Knekt, P., Kumpulainen, J., Jarvinen, R., Rissanen, H., Heliovaara, M., Reunanen, A., et al. (2002). Flavonoid intake and risk of chronic diseases. American Journal of Clinical Nutrition, 76, 560-568. (Pubitemid 34920833)
17. Kurz, C., Leitenberger, M., Carle, R., & Schieber, A. (2010). Evaluation of fruit authenticity and determination of the fruit content of fruit products using FT-NIR spectroscopy of cell wall components. Food Chemistry, 119, 806-812.
18. Li, X. L., He, Y., & Fang, H. (2007). Non-destructive discrimination of Chinese bayberry varieties using Vis/NIR spectroscopy. Journal of Food Engineering, 81, 357-363. (Pubitemid 46227646)
19. Liu, F., & He, Y. (2008). Classification of brands of instant noodles using Vis/NIR spectroscopy and chemometrics. Food Research International, 41, 562-567.
20. Liu, L., Cozzolino, D., Cynkar, W. U., Dambergs, R. G., Janik, L., O'Neill, B. K., et al. (2008). Preliminary study on the application of visible-near infrared spectroscopy and chemometrics to classify Riesling wines from different countries. Food Chemistry, 106, 781-786. (Pubitemid 47332860)
21. Miralbés, C. (2008). Discrimination of European wheat varieties using near infrared reflectance spectroscopy. Food Chemistry, 106, 386-389.
22. Ortiz-Somovilla, V., España-España, F., Gaitán-Jurado, A. J., Pérez-Aparicio, J., & De Pedro-Sanz, E. J. (2007). Proximate analysis of homogenized and minced mass of pork sausages by NIRS. Food Chemistry, 101, 1031-1040. (Pubitemid 44437629)
23. Pedreschi, F., Segtnan, V. H., & Knutsen, S. H. (2010). On-line monitoring of fat, dry matter and acrylamide contents in potato chips using near infrared interactance and visual reflectance imaging. Food Chemistry, 121, 616-620.
24. Steuer, B., Schulz, H., & Läger, E. (2001). Classification and analysis of citrus oils by NIR spectroscopy. Food Chemistry, 72, 113-117.
25. Vinson, J. A., Su, X., Zubik, L., & Bose, P. (2001). Phenol antioxidant quantity and quality in foods: fruits. Journal of Agricultural and Food Chemistry, 49, 5315-5321. (Pubitemid 33089671)
26. Wu, J. H., Gao, H. Y., Zhao, L., Liao, X. J., Chen, F., Wang, Z. F., et al. (2007). Chemical compositional characterization of some apple cultivars. Food Chemistry, 103, 88-93.
27. Xie, L. J., Ye, X. Q., Liu, D. H., & Ying, Y. B. (2009). Quantification of glucose, fructose and sucrose in bayberry juice by NIR and PLS. Food Chemistry, 114, 1135-1140.
28. Xing, J., Landahl, S., Lammertyn, J., Vrindts, E., & Baerdemaeker, J. D. (2003). Effects of bruise type on discrimination of bruised and nonbruised 'Golden Delicious' apples by VIS/NIR spectroscopy. Postharvest Biology and Technology, 30, 249-258.
29. Yamada, H., Takechi, K., Hoshi, A., & Amano, S. (2004). Comparison of water relations in watercored and non-watercored apples induced by fruit temperature treatment. Scientia Horticulturae, 99, 309-318. (Pubitemid 38178840)
30. Yu, C., Cui, B., Wang, S. G., & Su, J. W. (2007). Efficient index-based KNN join processing for high-dimensional data. Information and Software Technology, 49, 332-344. (Pubitemid 46162187)
31. Yu, H. Y., Niu, X. Y., Lin, H. J., Ying, Y. B., Li, B. B., & Pan, X. X. (2009). A feasibility study on on-line determination of rice wine composition by Vis-NIR spectroscopy and least-squares support vector machines. Food Chemistry, 113, 291-296.
32. Yu, H. Y., Zhou, Y., Fu, X. P., Xie, L. J., & Ying, Y. B. (2007). Discrimination between Chinese rice wines of different geographical origins by NIRS and AAS. European Food Research and Technology, 225, 313-320. (Pubitemid 46945647)
33. Zhou, Y. P., Jiang, J. H., Wu, H. L., Shen, G. L., Yu, R. Q., & Ozaki, Y. (2006). Dry film method with ytterbium as the internal standard for near infrared spectroscopic plasma glucose assay coupled with boosting support vector regression. Journal of Chemometrics, 20, 13-21.