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Application of Fourier Transform Near-Infrared Spectroscopy for Prediction Model Development of Total Dietary Fiber Content in Milled Rice  

Lee Jin-Cheol (Biotechnology Industrialization Center, Dongshin University)
Yoon Yeon-Hee (Biotechnology Industrialization Center, Dongshin University)
Eun Jong-Bang (Department of Food Science and Technology, Chonnam National University)
Publication Information
Food Science and Preservation / v.12, no.6, 2005 , pp. 608-612 More about this Journal
Abstract
Fourier transform-near infrared (FT-NIR) spectroscopy is a simple, rapid, non-destructive technique which can be used to make quantitative analysis of chemical composition in grain. An interest in total dietary fiber (TDF) of grain such as rice has been increased due to its beneficial effects for health. Since measuring methods for TDF content were highly depending on experimental technique and time consumptions, the application of FT-NIR spectroscopy to determine TDF content in milled rice. Results of enzymatic-gravimetric method were $1.17-1.92\%$ Partial least square (PLS) regression on raw NIR spectra to predict TDF content was developed Accuracy of prediction model for TDF content was certified for regression coefficient (r), standard error of estimation (SEE) and standard error of prediction (SEP). The r, SEE and SEP were 0.9705, 0.0464, and 0.0604, respectively. The results indicated that FT-NIR techniques could be very useful in the food industry and rice processing complex for determination of TDF in milled rice on real time analysis.
Keywords
FT-NIR; TDF; milled rice; PLS; prediction model;
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1 Kjolstad, L., Isaksson, T. and Rosenfeld, H.I. (1990) Prediction of sensory quality by near infrared reflectance analysis of frozen and freeze dried green peas (Pisum sativum). J. Sci. Food Agric., 51, 247-260   DOI
2 Seung, J.J. (1995) Physiological activities and utilization of dietary fiber. Food Sci. and Ind., 28, 2-23
3 Harris, S.S. (1992) Health claims for foods in the international market. Food Tech., 46, 92-94
4 Moon, S.S., Lee, K.H. and Cho, R.K. (1994) Application of near-infrared reflectance spectroscopy in quality evaluation of domestic rice. Korean J. Food Sci. Technol., 26, 718-725
5 Sohn, M.R. and Cho, R.K. (2000) Possibility of nondestructive evaluation of pectin in apple fruit using near-infrared reflectance spectroscopy. J. Kor. Soc. Hort. Sci., 41, 65-70
6 Choe, J.S., Ahn, H.H. and Nam, H.J. (2002) Comparison of Nutritional composition in Korean rices. J. Korean Soc. Food Sci. Nutr., 31, 885-892   DOI
7 Lee, H.J., Byun, S.M. and Kim, H.S. (1988) Studies on the dietary fiber of brown rice and milled rice. Korean J. Food Sci. Technol., 20, 576-584
8 Czuchajowska, Z., Szczodrak, J. and Pomeranz, Y. (1992) Characterization and estimation of barley polysaccharides by near-infrared spectroscopy. I. Barleys, starches, and ${\beta}-D-glucans$. Cereal Chem., 69, 413-418
9 Kim, E.H., Maeng, Y.S. and Woo, S.J. (1993) Dietary fiber contents in some cereals and pulses. Korean J. Nutri., 26, 98-106
10 ASTM. (1995) Standard practices for infrared, multivariate, quantitative analysis. Vol. 03.06, Doc. E1655-94. In: American Society of Testing and Materials, Annual book of standards. ASTM, West Conshohochen, PA, USA
11 Szczodrak, J., Czuchajowska, Z. and Pomeranz, Y. (1992) Characterization and estimation of barley polysaccharides by near-infrared spectroscopy. II. Estimation of total ${\beta}-D-glucans$. Cereal Chem., 69, 419-423
12 Lee, H.J., Byun, S.M. and Kim, R.S. (1988) Studies on the Dietary fiber of brown rice and milled rice. Korean J. Food Sci. Technol., 20, 576-584
13 Lee, K.O. (2005) Rice consumption and market trends of instant rice. The Monthly Food World, 6, 76-82
14 Bae, Y.M., Cho, S.I. and Chun, J.G. (1996) Measurement of fat content in potatochips by near-infrared spectroscopy. Korean J. Food Sci. Technol., 28, 916-921
15 Cho, S.Y., Choi, S.G. and Rhee, C. (1994) Determination of degree of retrogradation of cooked rice by near-infrared reflectance spectroscopy. Korean J. Food Sci. Technol., 26, 579-584
16 Song, H.S., Lee, K.T., Park, S.M. and Hwang, S.Y. (2002) Utilization of near infrared spectroscopy for analysis of proximate composition and starch in alaska pollack surimi. J. Korean Fish. Soc., 35, 321-326
17 Sato, T. (1994) Application of principal-component analysis on near-infrared spectroscopic data of vegetable oils for their classification. J. Am. Oil Chem. Soc., 71, 293-298   DOI   ScienceOn
18 Han, C.S. and Natsuga, M.Y. (1996) Development of a constituent prediction model of domestic rice using near infrared reflectance analyzer( I )-Constituent prediction model of brown and milled rice- J. Kor. Soc. Agric. Machinery, 21, 198-210
19 Seong, K.C. (1999) Status and prospect of nondestructive quality evaluation techniques for horticultural crops by near infrared spectroscopy(NIR). Kor. Res. Soc. Protected Hort., 12, 103-111
20 Kim, B.J., Park, E.H. and Suh, H.S. (1995) Use of near infrared reflection spectroscopy for determination of grain components in barley. Korean J. Crop Sci., 40, 716-722
21 Cho, H.J. and Ha, Y.L. (2002) Determination of honey quality by near infrared spectroscopy. Korean J. Food Sci. Technol., 34, 356-360
22 Fredstrom, S.B., Jung, H.G., Halgerson, J.L., Eyden, C.A. and Slavin, J.L. (1994) Trial of near-infrared reflectance spectroscopy in a human fiber digestibility study. J. Agric. Food Chem., 42, 735-738   DOI   ScienceOn
23 Reeves, J.B. (1997) Discriminant analysis of selected food ingredients by near infrared diffuse reflectance spectroscopy. J. Near infrared Spectrosc., 5, 209-221   DOI   ScienceOn
24 Chung, H.I. and Kim, H.J. (2000) Near-infrared spectroscopy: principles. Analytical Science & Technology, 13, 1A-14A
25 Chae, J.C., Jung, M.S., Jun, D.K. and Son, Y.M. (2002) Relationship between yield and quality of rice varieties grown in reclaimed saline paddy field. Korean J. Crop Sci., 47, 259-262
26 Kim, Y.B. (1996) Utilization on the Near-Infrared(NIR) for the chemical composition analysis of foods( I ). Food Technol., 9, 24-37
27 Williams, P.C. and Norris, K.H. (1990) Qualitative applications on near-infrared reflectance spectroscopy. In: Near-Infrared Technology in the Agricultural and Food Industries. Phil Williams, Karl Norris. AACC, St. Paul, MN, USA, 15, p.241-243
28 Kim, Y.H., Kang, C.S. and Lee, Y.S. (2004) Quantification of tocopherol and tocotrienol content in rice bran by near infrared reflectance spectroscopy. Korean J. Crop Sci., 49, 211-215
29 AOAC. (2000) Official Method of Analysis of AOAC Intl. 17th ed. Method 985.29. Association of Official Analytical Chemists International, Gaithersburg, MD, USA