浙江农业学报 ›› 2022, Vol. 34 ›› Issue (1): 153-162.DOI: 10.3969/j.issn.1004-1524.2022.01.18
杨叶爽1,2(), 张映萍1, 陈伊凡2, 张晋2, 李欢欢2, 陈黎洪2, 唐宏刚2,*(
), 高斌1,*(
)
收稿日期:
2021-03-15
出版日期:
2022-01-25
发布日期:
2022-02-05
通讯作者:
唐宏刚,高斌
作者简介:
高斌,E-mail: doc_gao@sina.com基金资助:
YANG Yeshuang1,2(), ZHANG Yingping1, CHEN Yifan2, ZHANG Jin2, LI Huanhuan2, CHEN Lihong2, TANG Honggang2,*(
), GAO Bin1,*(
)
Received:
2021-03-15
Online:
2022-01-25
Published:
2022-02-05
Contact:
TANG Honggang,GAO Bin
摘要:
为探讨蛋黄比例、结冷胶和氯化钠添加量对复配蛋液凝胶性能的影响,通过单因素试验对凝胶质构特性(硬度、弹性、咀嚼性)、色差值和持水性进行评价;利用Box-Behnken响应面分析法,选取咀嚼性为评价指标建立回归方程得到最优添加量。结果表明,各因素对复配蛋液凝胶咀嚼性的影响顺序为蛋黄比例>结冷胶添加量>氯化钠添加量;复配蛋液最优配方为蛋黄比例64%、蛋清比例36%,另外添加结冷胶0.14%、氯化钠1.5%,此时复配蛋液凝胶的咀嚼性理论值为978.063,验证试验值为910.494。通过响应面优化配方,使蛋液的凝胶性能得到了有效改善,研究结果可为利用复配蛋液制备高品质休闲蛋制品提供相应的技术支撑。
中图分类号:
杨叶爽, 张映萍, 陈伊凡, 张晋, 李欢欢, 陈黎洪, 唐宏刚, 高斌. 响应面法优化复配蛋液配方[J]. 浙江农业学报, 2022, 34(1): 153-162.
YANG Yeshuang, ZHANG Yingping, CHEN Yifan, ZHANG Jin, LI Huanhuan, CHEN Lihong, TANG Honggang, GAO Bin. Optimization of formulation of reconstituted liquid egg by response surface methodology[J]. Acta Agriculturae Zhejiangensis, 2022, 34(1): 153-162.
水平 Level | 因素Factors | ||
---|---|---|---|
A蛋黄比例 Egg yolk ratio | B结冷胶添加量 Proportion of gellan gum | C NaCl添加量 Proportion of NaCl | |
-1 | 40 | 0.10 | 1.0 |
0 | 60 | 0.15 | 1.5 |
1 | 80 | 0.20 | 2.0 |
表1 响应面试验设计因素与水平表
Table 1 Factors and levels of response surface experiment %
水平 Level | 因素Factors | ||
---|---|---|---|
A蛋黄比例 Egg yolk ratio | B结冷胶添加量 Proportion of gellan gum | C NaCl添加量 Proportion of NaCl | |
-1 | 40 | 0.10 | 1.0 |
0 | 60 | 0.15 | 1.5 |
1 | 80 | 0.20 | 2.0 |
图1 蛋黄比例对复配蛋液凝胶色泽的影响 柱上无相同小写字母表示差异显著(P<0.05)。下同。
Fig.1 Effect of yolk ratio on color of reconstituted liquid egg gel Bars marked without the same lowercase letter indicated significant differences at P<0.05. The same as below.
序号 Number | A蛋黄比例 Egg yolk ratio/% | B结冷胶添加量 Gellan gum content/% | C NaCl添加量 NaCl content/% | 咀嚼性 Chewiness |
---|---|---|---|---|
1 | 80 | 0.20 | 1.50 | 717.908 |
2 | 60 | 0.10 | 2.00 | 845.262 |
3 | 60 | 0.10 | 1.00 | 715.776 |
4 | 80 | 0.10 | 1.50 | 742.939 |
5 | 60 | 0.15 | 1.50 | 938.036 |
6 | 80 | 0.15 | 2.00 | 611.570 |
7 | 60 | 0.20 | 2.00 | 692.126 |
8 | 60 | 0.20 | 1.00 | 649.783 |
9 | 40 | 0.10 | 1.50 | 498.079 |
10 | 60 | 0.15 | 1.50 | 996.298 |
11 | 60 | 0.15 | 1.50 | 1 018.102 |
12 | 40 | 0.20 | 1.50 | 533.037 |
13 | 60 | 0.15 | 1.50 | 974.838 |
14 | 40 | 0.15 | 1.00 | 598.011 |
15 | 60 | 0.15 | 1.50 | 914.902 |
16 | 40 | 0.15 | 2.00 | 540.096 |
17 | 80 | 0.15 | 1.00 | 763.664 |
表2 响应面试验设计与结果
Table 2 Design and results of the response surface experiment
序号 Number | A蛋黄比例 Egg yolk ratio/% | B结冷胶添加量 Gellan gum content/% | C NaCl添加量 NaCl content/% | 咀嚼性 Chewiness |
---|---|---|---|---|
1 | 80 | 0.20 | 1.50 | 717.908 |
2 | 60 | 0.10 | 2.00 | 845.262 |
3 | 60 | 0.10 | 1.00 | 715.776 |
4 | 80 | 0.10 | 1.50 | 742.939 |
5 | 60 | 0.15 | 1.50 | 938.036 |
6 | 80 | 0.15 | 2.00 | 611.570 |
7 | 60 | 0.20 | 2.00 | 692.126 |
8 | 60 | 0.20 | 1.00 | 649.783 |
9 | 40 | 0.10 | 1.50 | 498.079 |
10 | 60 | 0.15 | 1.50 | 996.298 |
11 | 60 | 0.15 | 1.50 | 1 018.102 |
12 | 40 | 0.20 | 1.50 | 533.037 |
13 | 60 | 0.15 | 1.50 | 974.838 |
14 | 40 | 0.15 | 1.00 | 598.011 |
15 | 60 | 0.15 | 1.50 | 914.902 |
16 | 40 | 0.15 | 2.00 | 540.096 |
17 | 80 | 0.15 | 1.00 | 763.664 |
来源 Source | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F值 F-value | P值 P-value |
---|---|---|---|---|---|
模型Model | 4.31×105 | 9 | 47 879.45 | 9.18 | 0.004 0 |
A | 55 587.45 | 1 | 55 587.45 | 10.66 | 0.013 8 |
B | 5 470.68 | 1 | 5 740.68 | 1.05 | 0.339 8 |
C | 182.21 | 1 | 182.21 | 0.035 | 0.857 0 |
AB | 899.67 | 1 | 899.67 | 0.17 | 0.690 3 |
AC | 2 217.42 | 1 | 2 217.42 | 0.43 | 0.535 1 |
BC | 1 898.48 | 1 | 1 898.48 | 0.36 | 0.565 2 |
A2 | 2.06×105 | 1 | 2.06×105 | 39.60 | 0.000 4 |
B2 | 64 763.48 | 1 | 64 763.48 | 12.42 | 0.009 7 |
C2 | 59 302.00 | 1 | 59 302.00 | 11.37 | 0.011 9 |
残差Residual | 36 494.44 | 7 | 5 213.49 | — | — |
失拟项Lack of fit | 29 420.40 | 3 | 9 806.80 | 5.55 | 0.065 7 |
纯误差Pure error | 7 074.04 | 4 | 1 768.51 | — | — |
总和Cor total | 4.67×105 | 16 | — | — | — |
表3 咀嚼性回归模型方差分析
Table 3 Variance analysis of chewiness regression model
来源 Source | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F值 F-value | P值 P-value |
---|---|---|---|---|---|
模型Model | 4.31×105 | 9 | 47 879.45 | 9.18 | 0.004 0 |
A | 55 587.45 | 1 | 55 587.45 | 10.66 | 0.013 8 |
B | 5 470.68 | 1 | 5 740.68 | 1.05 | 0.339 8 |
C | 182.21 | 1 | 182.21 | 0.035 | 0.857 0 |
AB | 899.67 | 1 | 899.67 | 0.17 | 0.690 3 |
AC | 2 217.42 | 1 | 2 217.42 | 0.43 | 0.535 1 |
BC | 1 898.48 | 1 | 1 898.48 | 0.36 | 0.565 2 |
A2 | 2.06×105 | 1 | 2.06×105 | 39.60 | 0.000 4 |
B2 | 64 763.48 | 1 | 64 763.48 | 12.42 | 0.009 7 |
C2 | 59 302.00 | 1 | 59 302.00 | 11.37 | 0.011 9 |
残差Residual | 36 494.44 | 7 | 5 213.49 | — | — |
失拟项Lack of fit | 29 420.40 | 3 | 9 806.80 | 5.55 | 0.065 7 |
纯误差Pure error | 7 074.04 | 4 | 1 768.51 | — | — |
总和Cor total | 4.67×105 | 16 | — | — | — |
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