Optimization of Conditions for Collagen Extraction from the Swim Bladders of Grass Carp (Ctenopharyngodon idella) by Response Surface Methodology

Abstract

The effects of liquid-solid ratio, acetic acid concentration and extraction time on the yield of acid-soluble collagen(ASC) from the swim bladders of grass carp were optimized by statistical analysis using response surface methodology. The response surface methodology (RSM) was used to optimize the yield of ASC by implementing the Box-Wilson design. Statistical analysis of the results showed that the linear and quadric terms of these three variables had significant effects. However, no interactions between the three variables were found to contribute to the response at a significant level. The optimal conditions for higher yield of ASC were a liquid-solid ratio of 17.85, an acetic-acid concentration of 0.54 M and a time of 34 h. Under these conditions, the model predicted an ASC yield of 8.39%. Verification of the optimization showed that an ASC yield of 8.21±0.15% was observed under the optimal conditions. The experimental values agreed with the predicted values, using analysis of variance, indicating an excellent fit of the model used and the success of response surface methodology for modeling extraction of ASC from the swim bladders of grass carp.

Collagen Extraction from Malaysian Cultured Catfish (Hybrid Clarias Sp.): Kinetics and Optimization of Extraction Conditions Using Response Surface Methodology

“…where x i is the dimensionless coded value of the variable X i , X 0 is the value of X i at the center point, and ∂X is the step change [7]. In this study, the central composite design with three factors and three levels, including six replicates at the center point, was used for fitting a second-order response surface.…”

“…According to Zhang et al [7] and Wang et al [1], exploration and optimization of a fitted response surface might produce poor or misleading results unless the model exhibits a good fit, which makes the checking of the model adequacy essential. The P value of the model was less than 0.0001 (Table 3).…”

“…Therefore, the extraction of collagen from catfish aids in boosting up the commercial value of these cheaply abundant natural resources besides providing a new approach in finding alternative sources of safe collagen for industrial uses. Collagen is a thermosensitive compound and the extraction process is normally extracted under the condition that is lower than the room temperature [1,7]. It is very crucial to understand the effects of extraction conditions in order to obtain the highest yield of collagen under the most optimum operating conditions.…”

“…can be influenced by many process factors such as acid concentration, extraction time, stirring speed, and liquid to solid ratio [1,7]. Under such circumstances where multiple variables may affect the extraction yield, response surface methodology (RSM) is an effective technique in optimizing the process [8].…”

“…In short, the principles and applications of RSM involve three steps: (1) experimental design where the independent variables and the corresponding experimental levels are set using statistical experimental designs such as the central composite design (CCD) or Box-Behnken design (BBD); (2) response surface modeling through regression analysis; and (3) process optimization using the response surface model [8]. Few reports that are available in the literature demonstrated that RSM is an effective tool for investigating the optimum collagen extraction conditions from the skin of yellowfin tuna [2], grass carp [1], scales of yellowfin tuna [3], and swim bladder of grass carp [7]. Nevertheless, publications on collagen extraction with response surface methodology are still very limited.…”