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Optimization of the Spreadable Modified Butter Manufacturing by Response Surface Methodology
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 Title & Authors
Optimization of the Spreadable Modified Butter Manufacturing by Response Surface Methodology
Suh, Mun Hui; Lee, Keon Bong; Baick, Seung Chun;
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The aim of this study was to optimize the manufacturing condition of spreadable modified butter by RSM. Based on the central composite design, the degree of optimization was expressed as a SFC as a dependent variable (Y, %) determined by NMR with 23 experimental groups. Three independent variables were the contents of butter (, 35-75%), the contents of grape seed oil (, 15-35%), and the contents of hydrogenated soybean oil (, 0-4%). As the result, SFC at was ranged from 32.37 to 42.76%. In addition, the regression coefficients were calculated for SFC at by RSREG. The regression model equation for the SFC was . Consequently, the optimal contents for manufacturing spreadable modified butter were determined as 55.18% for butter, 40.78% for grape seed oil, and 4.08% for hydrogenated soybean oil, respectively. The predicted response value for SFC at was 30.20%, comparable to the actual experimental SFC value as 29.85%. Finally hardness and spreadability in reference butter and spreadable modified butter produced under the optimal conditions was measured. The hardness in spreadable modified butter was 31.80 N as compared to 69.92 N in reference butter. The spreadability in spreadable modified butter was 5.6 point as compared to reference butter. This difference may be due to the contents of solid fat by butter and hydrogenated soybean oil. This study showed that the SFC value at could be a suitable indicator for the manufacturing spreadable modified butter to predict important attributes such as mouth feel, hardness and spreadability.
spreadable modified butter;response surface methodology;solid fat content;nuclear magnetic resonance;hardness;spreadability;
 Cited by
Acosta, O. F. V. and Cubero E. (2008) Optimisation of low calorie mixed fruit jelly by response surface methodology. Food Qual. Prefer. 19, 79-85. crossref(new window)

Bourne, M. C. (1982) Food texture and viscosity : Concept and measurement. New York : Academic Press.

Damasio, M. H., Costell, E. and Duran, L. (1999) Optimising acceptability of low-sugar strawberry gels segmenting consumers by internal preference mapping. J. Sci. Food Agric. 79, 626-632. crossref(new window)

DeMan, J. M. and Wood, F. W. (1958) Hardness of butter. Influence of season and manufacturing method. J. Dairy Sci. 41, 360-368. crossref(new window)

DeMan, J. M. and Beers, A. M. (1987) Review : Fat crystal networks : Structure and rheological properties. J. Texture Stud. 18, 303-318. crossref(new window)

Frede, E. and Precht, K. H. (1988) Streichfihigkeit und Schnittfestigkeit vakuumbehandelter Butter. Dt. Molkerei Ztg. 109, 313-317.

Gacula, M. (1993) Design and analysis of sensory optimization. Food and Nutrition Press, Trumbull, CT.

Gan, H. E., Karim, R., Muhammad, S. K. S., Baker, J. A., Hashim, D. M. and Rahman, R. (2006) Optimization of the basic formulation of a traditional baked cassava cake using response surface methodology. Lebenson. Wiss. Technol. 40, 611-618.

Granato, D., Castro, I. A., Ellendersen, L. S. N. and Masson, M. L. (2010a) Physical stability assessment and sensory optimization of a dairy-free emulsion using response surface methology. J. Food Sci. 75, 149-155

Granato, D., Ribeiro, J. C. B., Castro, I. A. and Masson, M. L. (2010b) Sensory evaluation and physicochemical optimization of soy-based desserts using response surface methology. Food Chem. 121, 899-906. crossref(new window)

Kawanari, M., Hamann, D. D., Swartzel, K. R. and Hansen, A. P. (1981) Rheological and texture studies of butter. J. Texture Stud. 12, 483-505. crossref(new window)

Kaylegian, K. E. and Lindsay, R. C. (1992) Performance of selected milk fat fractions in cold-spread able butter. J. Dairy Sci. 75, 3307-3317. crossref(new window)

Mulder, H. and Walstra, P. (1974) The milk fat globule. Wageningen : Centre for Agricultural Publishing and Documentation. pp. 33-55.

Narine, S. S. and Marangoni, A. G. (1999a) Microscopic and rheological studies of fat crystal networks. J. Cryst. Growth 198, 199, 1315-1319. crossref(new window)

Narine, S. S. and Marangoni, A. G. (1999b) Relating structure of fat crystal networks to mechanical properties : a review. Food Res. Int. 32, 227-248. crossref(new window)

SAS (2003) SAS/STAT software for PC. Release 9.1, SAS Institute, Inc., Cary, NC, USA.

Shukla, A., Bhasker, A. R., Rizvi, S. S. H. and Mulvaney, S. J. (1994) Physicochemical and rheological properties of butter made from supercritically fractionated milk fat. J. Dairy Sci. 77, 45-54. crossref(new window)

Singh, A. P., McClements, D. J. and Marangoni, A. G. (2004) Solid fat content determination by ultrasonic velocimetry. Food Res. Int. 37, 545-555. crossref(new window)