| Literature DB >> 22942751 |
Lina Yu1, Jie Sun1, Shaofang Liu1, Jie Bi1, Chushu Zhang1, Qingli Yang1.
Abstract
The objective of this work is to provide a theoretical basis for preparing peanut antioxidant hydrolysate in order to improve its antioxidant activities. Therefore, response surface methodology (RSM) based on the Box-Behnken design was used to optimize ultrasonic-assisted enzymolysis for the purpose of preparing peanut antioxidant hydrolysate. Results indicated that the DPPH free radical scavenging activity of peanut hydrolysate could reach 90.06% under the following optimum conditions: ultrasonic power of 150.0 w, reaction temperature of 62.0 °C, incubation time of 25.0 min, and initial pH value of 8.5. The DPPH free radical scavenging rate of peanut hydrolysate from ultrasonic-assisted enzymolysis improved comparing with that of peanut hydrolysate from protease hydrolysis alone. The peanut antioxidant hydrolysate was found to display eight improved kinds of antioxidant activities. In conclusion, the optimal ultrasonic-assisted enzymolysis technology conditions described in this paper, appear to be beneficial for preparing peanut antioxidant hydrolysate.Entities:
Keywords: antioxidant activities; peanut antioxidant hydrolysate; response-surface optimization; ultrasonic-assisted enzymolysis
Mesh:
Substances:
Year: 2012 PMID: 22942751 PMCID: PMC3430282 DOI: 10.3390/ijms13079051
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Effects of incubation time (A), ultrasonic frequency (B), substrate mass fraction (C), enzyme dosage (D), initial pH value (E), ultrasonic power (F), reaction temperature (G) with Alcalase on 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical scavenging activity of peanut hydrolysate.
Response surface methodology (RSM) experiment design and results.
| Number | ||||||
|---|---|---|---|---|---|---|
| 1 | 150 | 55 | 30 | 9 | 90.22 | 90.98 |
| 2 | 210 | 55 | 30 | 9 | 80.94 | 19.12 |
| 3 | 150 | 65 | 30 | 9 | 87.73 | 87.74 |
| 4 | 210 | 65 | 30 | 9 | 89.83 | 87.28 |
| 5 | 180 | 60 | 25 | 8.5 | 86.53 | 84.08 |
| 6 | 180 | 60 | 35 | 8.5 | 82.61 | 81.00 |
| 7 | 180 | 60 | 25 | 9.5 | 89.23 | 89.04 |
| 8 | 180 | 60 | 35 | 9.5 | 90.87 | 91.52 |
| 9 | 150 | 60 | 30 | 8.5 | 86.57 | 86.43 |
| 10 | 210 | 60 | 30 | 8.5 | 72.65 | 73.45 |
| 11 | 150 | 60 | 30 | 9.5 | 88.35 | 87.35 |
| 12 | 210 | 60 | 30 | 9.5 | 88.07 | 88.01 |
| 13 | 180 | 55 | 25 | 9 | 86.51 | 87.32 |
| 14 | 180 | 65 | 25 | 9 | 90.46 | 90.74 |
| 15 | 180 | 55 | 35 | 9 | 88.47 | 87.98 |
| 16 | 180 | 65 | 35 | 9 | 90.50 | 89.48 |
| 17 | 150 | 60 | 25 | 9 | 88.62 | 88.57 |
| 18 | 210 | 60 | 25 | 9 | 84.58 | 86.19 |
| 19 | 150 | 60 | 35 | 9 | 91.64 | 92.05 |
| 20 | 210 | 60 | 35 | 9 | 80.06 | 82.11 |
| 21 | 180 | 55 | 30 | 8.5 | 78.65 | 79.71 |
| 22 | 180 | 65 | 30 | 8.5 | 81.11 | 83.47 |
| 23 | 180 | 55 | 30 | 9.5 | 89.08 | 88.75 |
| 24 | 180 | 65 | 30 | 9.5 | 88.95 | 89.91 |
| 25 | 180 | 60 | 30 | 9 | 79.36 | 80.03 |
| 26 | 180 | 60 | 30 | 9 | 81.19 | 80.03 |
| 27 | 180 | 60 | 30 | 9 | 80.11 | 80.03 |
| 28 | 180 | 60 | 30 | 9 | 79.00 | 80.03 |
| 29 | 180 | 60 | 30 | 9 | 80.49 | 80.03 |
Variance analysis of regression model.
| Source | Sum of squares | df | Mean square | ||
|---|---|---|---|---|---|
| Model | 638.2259 | 14 | 45.5876 | 15.6101 | <0.0001 |
| Residual | 40.8854 | 14 | 2.9204 | / | / |
| Lack of fit | 37.8120 | 10 | 3.7812 | 4.9212 | 0.0691 |
| Pure error | 3.0734 | 4 | 0.7684 | / | / |
| Cor total | 679.1113 | 28 | / | / | / |
R2 = 0.9398; RAdj2 = 0.8796; CV(%) = 2.0045; RPred2 = 0.6722; Adeq Precision = 15.1409
Significance test for regression coefficient.
| Factor | Coefficient estimate | df | Standard error | 95% CI low | 95% CI high | ||
|---|---|---|---|---|---|---|---|
| Intercept | 80.0300 | 1 | 0.7643 | 78.3909 | 81.6692 | 15.6101 | <0.0001 |
| −3.0833 | 1 | 0.4933 | −4.1414 | −2.0253 | 39.0645 | <0.0001 | |
| 1.2258 | 1 | 0.4933 | 0.1678 | 2.2839 | 6.1745 | 0.0262 | |
| −0.1483 | 1 | 0.4933 | −1.2064 | 0.9097 | 0.0904 | 0.7681 | |
| 3.8692 | 1 | 0.4933 | 2.8111 | 4.9272 | 61.5142 | <0.0001 | |
| 2.8450 | 1 | 0.8545 | 1.0124 | 4.6776 | 11.0862 | 0.0050 | |
| −1.8850 | 1 | 0.8545 | −3.7176 | −0.0524 | 4.8668 | 0.0446 | |
| 3.4100 | 1 | 0.8545 | 1.5774 | 5.2426 | 15.9268 | 0.0013 | |
| −0.4800 | 1 | 0.8545 | −2.3126 | 1.3526 | 0.3156 | 0.5832 | |
| −0.6475 | 1 | 0.8545 | −2.4801 | 1.1851 | 0.5742 | 0.4611 | |
| 1.3900 | 1 | 0.8545 | −0.4426 | 3.2226 | 2.6464 | 0.1261 | |
| 2.2996 | 1 | 0.6710 | 0.8605 | 3.7387 | 11.7454 | 0.0041 | |
| 3.9483 | 1 | 0.6710 | 2.5092 | 5.3875 | 34.6256 | <0.0001 | |
| 4.9020 | 1 | 0.6710 | 3.4630 | 6.3412 | 53.3741 | <0.0001 | |
| 1.4758 | 1 | 0.6710 | 0.0367 | 2.9150 | 4.8378 | 0.0451 |
Factors found to have significant effects on the scavenging rate of DPPH free radicals (p ≤ 0.05); factors found to have highly significant effects on the scavenging rate of DPPH free radicals (p ≤ 0.01); factors found to have extremely significant effects on the scavenging rate of DPPH free radicals (p ≤ 0.001); factors found to have no significant effect on the scavenging rate of DPPH free radicals (p > 0.05).
Figure 2Effects of various factors on scavenging rate of DPPH free radicals (A: X1 and X2, B: X1 and X3, C: X1 and X4, D: X2 and X3, E: X2, and X4, F: X3 and X4; X1 is ultrasonic power; X2 is reaction temperature; X3 is incubation time; X4 is initial pH value).
Results of antioxidant activities.
| Regression Equation | IC50 (mg/mL) | ||
|---|---|---|---|
| DPPH free radical scavenging activity | y = −0.1862x2 + 9.2691x + 2.6819 | 0.9999 | 5.77 |
| Hydroxyl free radical scavenging activity | y = −0.00005x2 + 0.09694x + 17.56407 | 0.9951 | 0.43 |
| Superoxide anion free radical scavenging activity | y = −0.167x2 + 7.8646x + 2.0721 | 0.9991 | 7.19 |
| Iron ion chelation | y = −0.0627x2 + 6.9982x + 0.4071 | 0.9986 | 7.60 |
| Copper ion chelation | y = −0.0476x2 + 5.0688x − 1.0542 | 0.9999 | 11.26 |
| Anti-lipid peroxidation activity | y = −0.1025x2 + 7.2155x + 0.2006 | 0.9986 | 7.76 |
| Iron reduction capacity | y = 0.0387x + 0.0097 | 0.9997 | 12.67 |
| Molybdenum reduction capacity | y = 0.0991x + 0.0592 | 0.9994 | 4.45 |