Optimization of Roasted Pork Curing Agent Formulation Based on Principal Component Analysis and Response Surface Methodology
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摘要: 论文以猪里脊肉为原料,考察茶多酚、大豆分离蛋白和大蒜对烤肉品质的影响。以感官评分、色泽、丙二醛含量和过氧化值为响应指标,通过进行单因素、主成分分析及Box-Benhnken响应曲面设计优化烤制猪肉腌制剂配方。结果表明,单因素实验中茶多酚对烤肉感官评分影响不显著。感官评分随大豆分离蛋白、大蒜和菜籽油添加量的加大,皆呈先升高后降低趋势,在三者分别为2%、5%和12%时最高。大豆分离蛋白和茶多酚抑制脂肪氧化效果优于大蒜和菜籽油,茶多酚和菜籽油能较好提升烤肉L*值。主成分分析及Box-Benhnken响应曲面设计优化结果显示,各添加剂最佳添加量分别为大蒜4.8%、大豆分离蛋白2.0%、菜籽油12.0%,茶多酚0.03%,得到规范化综合评分0.95,与预测值0.98基本一致。该主成分分析和响应面设计优化的腌制剂配方对实际生产具有一定指导意义。Abstract: The effects of tea polyphenols, soy protein isolate and garlic on the quality of pork fillet were investigated. Sensory score, color value, malondialdehyde content and peroxide value were used as evaluation indexes to optimize recipe of roast pork marinade by single factor, principal component analysis and Box-Benhnken response surface design. Results showed that, in the single factor experiments, the tea polyphenols had no significant effect on the sensory score of roast meat. With the increase of soy protein isolate, garlic and rapeseed oil, the sensory score increased first and then decreased, and reached the highest when they were 2%, 5% and 12% respectively. The effect of soybean protein isolate and tea polyphenols on improving fat oxidation was better than those of garlic and rapeseed oil. Tea polyphenols and rapeseed oil can improve the L* value of roast pork. The optimal dosage of each additive was 4.8% of garlic, 2.0% of soybean protein isolate, 12.0% of rapeseed oil and 0.03% of tea polyphenols, respectively. The standardized comprehensive score was 0.95, which was basically consistent with the predicted value of 0.98. The formula optimized by principal component analysis and response surface design would have a certain guiding significance for practical production.
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Key words:
- tenderloin /
- curing agent /
- principal component analysis /
- response surface method /
- formula
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表 1 Box-Behnken设计因素与水平
Table 1. Factors and levels of Box-Behnken design experiment
水平 因素 A大蒜
添加量(%)B大豆分离蛋白
添加量(%)C菜籽油
添加量(%)−1 4.0 1.5 11.0 0 5.0 2.0 12.0 1 6.0 2.5 13.0 表 2 烤肉感官评分标准与细则
Table 2. Criteria for sensory evaluation of roast meat
指标 评价标准 得分 色泽(20分) 色泽红色偏金黄,让人有强烈的食欲 16~20 色泽白色偏黄,让人有些食欲 11~15 色泽偏白或黄色偏黑 6~10 色泽呈深棕发黑,让人完全没有食欲 0~5 组织状态(25分) 干爽结实,表面整齐,渗油,弹性小 19~25 稍干爽,组织结实,有渗油现象,
表皮微有弹性或表皮过硬12~18 表皮潮湿,肉质较软,有弹性 6~11 表面凹凸不平,无渗油,无弹性 0~5 风味(30分) 烤肉味浓烈鲜香,无异味、酸味 26~32 烤肉味较好,无异味、无强烈酸味 16~25 烤肉味较淡或有糊味、酸味 8~15 无烤肉特有味道或酸味过强 0~7 咀嚼性(25分) 咀嚼性好,肉感强,无油腻感 19~25 易咀嚼,弹性好,较油腻 12~18 咀嚼性一般,需要较多能量,油腻 6~11 咀嚼困难,无弹性,质地干或油腻感较重 0~5 总分 100 表 3 茶多酚添加量对烤肉色差的影响
Table 3. Effect of adding amount of tea polyphenols on color of roast meat
表 4 大豆分离蛋白添加量对烤肉色差的影响
Table 4. Effect of adding amount of soy protein isolate on color of roast meat
大豆分离蛋白添加量(%) L* a* b* 0.0 28.80±1.30a 17.60±0.55a 29.00±0.75a 0.5 28.50±1.73a 17.50±0.58a 30.25±0.96a 1.0 28.40±0.55a 17.80±1.30a 29.60±1.34a 1.5 27.60±1.52a 18.20±0.84a 30.00±0.71a 2.0 27.60±1.14a 18.00±1.00a 30.00±1.22a 2.5 27.20±1.79a 18.00±0.71a 28.20±1.92a 表 5 大蒜添加量对烤肉色差的影响
Table 5. Effect of adding amount of garlic on color of roast meat
大蒜添加量(%) L* a* b* 0.0 27.75±0.96a 21.00±2.45a 30.75±2.06a 4.0 28.40±1.52a 19.60±1.67a 29.20±1.30a 5.0 28.00±1.00a 19.60±1.14a 28.60±2.19a 6.0 24.00±0.82b 18.00±0.00a 27.75±0.96a 7.0 25.00±1.00b 18.00±0.00a 27.67±0.58a 8.0 27.50±0.71a 18.00±2.83a 29.00±1.41a 表 6 菜籽油添加量对烤肉色差的影响
Table 6. Effect of adding amount of rapeseed oil on color of roasted pork
菜籽油添加量(%) L* a* b* 0.0 30.17±0.75d 20.50±1.22a 30.67±1.03b 9.0 35.33±1.53ab 20.66±0.58a 34.33±1.15a 10.0 33.50±1.29bc 18.75±1.26a 31.75±0.50b 11.0 35.33±1.53ab 19.00±1.00a 32.33±2.52ab 12.0 31.85±1.21cd 18.57±1.72a 30.42±1.27b 13.0 35.80±1.10a 18.80±1.92a 33.00±1.22ab 表 7 响应面试验设计及结果
Table 7. Response surface test design and results
实验号 A大蒜
添加量B大豆分离蛋白
添加量C菜籽油
添加量感官评分
(分)丙二醛
(mg/kg)过氧化值
(mmol/kg)1 0 0 0 83.0 1.53 2.01 2 0 0 0 82.0 1.52 2.04 3 0 0 0 84.0 1.54 2.01 4 0 0 0 83.0 1.53 2.08 5 0 −1 −1 77.0 1.57 2.41 6 0 −1 1 77.0 1.57 2.22 7 0 1 −1 78.0 1.58 2.11 8 1 0 −1 76.0 1.66 2.62 9 −1 −1 0 76.0 1.48 2.66 10 1 −1 0 74.0 1.67 2.79 11 1 0 1 73.0 1.76 2.75 12 −1 0 1 77.0 1.54 2.56 13 −1 1 0 76.0 1.57 2.66 14 1 1 0 74.0 1.69 2.45 15 0 1 1 75.0 1.69 2.14 16 0 0 0 81.0 1.53 2.02 17 −1 0 −1 75.0 1.53 2.70 表 8 主成分特征值与累计贡献率
Table 8. Principal component eigenvalues and cumulative contribution rate
成分 初始特征值 提取平方和载入 合计 方差贡献率(%) 累积贡献率(%) 合计 方差贡献率(%) 累积贡献率(%) 1 2.24 74.81 74.81 2.24 74.81 74.81 2 0.65 21.77 96.58 0.65 21.77 96.58 3 0.10 3.42 100.00 表 9 成分矩阵
Table 9. Composition matrix
指标 成分 第一主成分 第二主成分 感官评分 0.966 −0.093 丙二醛倒数 0.749 0.656 过氧化值倒数 0.867 −0.463 表 10 主成分得分及规范化综合评分
Table 10. Principal component scores and standardized scores
实验号 Y1 Y2 Y Z 1 2.0517 −0.3176 1.4657 0.9813 2 1.8364 −0.1372 1.3439 0.9484 3 2.1860 −0.4616 1.5348 1.0000 4 1.8719 −0.1336 1.3712 0.9558 5 −0.1753 0.3251 −0.0604 0.5688 6 0.1380 −0.1282 0.0754 0.6055 7 0.5344 −0.4722 0.2970 0.6654 8 −1.2842 −0.1945 −1.0031 0.3140 9 −0.1435 1.8175 0.2883 0.6631 10 −1.9975 −0.0464 −1.5044 0.1785 11 −2.6341 −0.8922 −2.1648 0.0000 12 −0.2369 0.9002 0.0188 0.5902 13 −0.7908 0.7484 −0.4287 0.4693 14 −1.5720 −0.7451 −1.3382 0.2234 15 −0.7391 −1.3783 −0.8530 0.3546 16 1.6941 −0.2065 1.2224 0.9156 17 −0.7389 1.3223 −0.2649 0.5135 表 11 方差分析
Table 11. Analysis of variance
方差来源 平方和 自由度 均方 F值 P值 显著性 模型 1.4998 9 0.1666 243.2586 < 0.0001 ** A-大蒜添加量 0.2889 1 0.2889 421.6640 < 0.0001 ** B-大豆分离蛋白添加量 0.0115 1 0.0115 16.7763 0.0046 ** C-菜籽油添加量 0.0327 1 0.0327 47.7354 0.0002 ** AB 0.0142 1 0.0142 20.7981 0.0026 ** AC 0.0382 1 0.0382 55.7056 0.0001 ** BC 0.0302 1 0.0302 44.0761 0.0003 ** A2 0.6254 1 0.6254 912.8704 < 0.0001 ** B2 0.1540 1 0.1540 224.8222 < 0.0001 ** C2 0.2045 1 0.2045 298.5029 < 0.0001 残差 0.0048 7 0.0007 失拟项 0.0006 3 0.0002 0.1956 0.8944 NS 纯误差 0.0042 4 0.0010 总和 1.5046 16 R2 0.9968 $R_{{\rm{Adj}}}^2 $ 0.9928 注:“*”表示显著(P<0.05),“**”表示极显著(P<0.01),“NS”表示不显著。 -
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