Eating quality of cooked rice determination using Fourier transform near infrared spectroscopy

Ravipat Lapcharoensuk; Panmanas Sirisomboon

doi:10.1142/s1793545814500035

[1] R. K. Chang, W. Y. Zhang, J. Cui, Y. Z. Wang, Y. Wei, Y. Liu, "Research of rice-quality based on computer vision and near infrared spectroscopy," Computer and Computing Technologies in Agriculture III, CCTA 2009, IFIP AICT D. Li, C. Zhang (Eds.), pp. 317, 523–531, Springer (2010).

[2] J. S. Bao, Y. Z. Cai, H. Corke, "Prediction of rice starch quality parameters by near-infrared reflectance spectroscopy," J. Food Sci. 66, 936–939 (2001).

[3] N. Shimizu, J. Katsura, T. Yanagisawa, S. Inoue, R. P. Withey, I. A. Cowe et al., "Determination of apparent amylase content in Japanese milled rice using near-infrared transmittance spectroscopy," Food Sci. Technol. Res. 5(4), 337–342 (1999).

[4] Q. Y. Shu, D. X. Wu, Y. M. Xia, M. W. Gao, A. McClung, "Analysis of grain quality characters in small ground brown rice samples by near infrared reflectance spectroscopy," Scientia Agricultural Sinica 32, 92–97 (1999).

[5] A. M. Inarejos-García, S. Gómez-Alonso, G. Fregapane, M.D. Salvador, "Evaluation of minor components, sensory characteristics and quality of virgin olive oil by near infrared (NIR) spectroscopy," Food Res. Int. 50(1), 250–258 (2013).

[6] E. Mehinagic, G. Royer, D. Bertrand, R. Symoneaux, F. Laurens, F. Jourjon, "Relationship between sensory analysis, penetrometry and visible– NIR spectroscopy of apples belonging to different cultivars," Food Qual. Prefer. 14(5–6), 473–484 (2003).

[7] G. P. Parpinello, G. Nunziatini, A. D. Rombolà, F. Gottardi, A. Versari, "Relationship between sensory and NIR spectroscopy in consumer preference of table grape (cv Italia)," Postharvest Biol. Tech. 83, 47–53 (2013).

[8] M. Kamruzzaman, G. ElMasry, D. W. Sun, P. Allen, "Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging," Food Chem. 141(1), 389– 396 (2013).

[9] Y. Liu, B. G. Lyon, W. R. Windham, C. E. Realini, T. D. D. Pringle, S. Duckett, "Prediction of color, texture, and sensory characteristics of beef steaks by visible and near infrared reflectance spectroscopy: A feasibility study," Meat Sci. 65(3), 1107–1115 (2003).

[10] P. R. Armstrong, E. B. Maghirang, F. Xie, F. E. Dowell, "Comparison of dispersive and Fouriertransform NIR instruments for measuring grain and flour attributes," Appl. Eng. Agric. 22(3), 453–457 (2006).

[11] D. A Skoog, F. J. Holler, T. A. Nieman, Principles of Instrumental Analysis, 5th Edition, Harcourt Brace College Publishers, Chicago, Ill., USA (1998).

[12] K. J. Chen, M. Huang, "Prediction of milled rice grades using Fourier transforms near-infrared spectroscopy and artificial neural network," J. Cereal Sci. 52, 221–226 (2010).

[13] N. Sinelli, S. Benedetti, G. Bottega, M. Riva, S. Buratti, "Evaluation of the optimal cooking time of rice by using FT-NIR spectroscopy and an electronic nose," J. Cereal Sci. 44(2), 137–143 (2006).

[14] B. G. Osborne, T. Fearn, Near Infrared Spectroscopy in Food Analysis, 1st Edition, Longman Science & Technical, UK (1986).

[15] Y. Shao, Y. Cen, Y. He, F. Liu, "Infrared spectroscopy and chemometrics for the starch and protein prediction in irradiated rice," Food Chem. 126(4), 1856–1861 (2011).