Optimization of protein extraction from tree peony (Paeonia suffruticosa Andr.) seed using response surface methodology

Gao, L.L. and Li, Y.Q. and Sun, G.J. and Mo, H.Z. (2018) Optimization of protein extraction from tree peony (Paeonia suffruticosa Andr.) seed using response surface methodology. Acta Alimentaria, 47 (2). pp. 143-153. ISSN 0139-3006

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Abstract

Optimization of extraction ratio (ER) of tree peony seed protein (TPSP) was investigated using response surface methodology (RSM). The second-degree equation for ER of TPSP had high coeffi cient (0.9625) of determination. The probability (P) value of regression model signifi cance was less than 0.001 by analysis of central composite rotatable design. Relationships of ER to pH, liquid/solid ratio, squares of all factors, and cross-product factors (x₂x₃, x₂x₄, x₃x₄) were signifi cant (P<0.05). Whereas, extraction time, temperature, and cross-product terms (x₁x₂, x₁x₃, x₁x₄) were not signifi cant factors (P>0.05). Optimum extraction conditions were 3.42 h, pH 9.50, 50.80 ºC, and 9.54 ml g^–1 of liquid/solid ratio with the maximum ER (43.60%) . SDS-PAGE indicated TPSP had mainly four proteins (180, 100, 60, and 35 kDa) with four subunits of 60, 48, 38, and 23 kDa. TPSP had a good amino acid composition with abundant essential amino acids (39.76%) determined by amino acid analysis.

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