葛根全原粉沸腾造粒工艺优化
为探索运用沸腾造粒技术对高膳食纤维葛根全原粉的最佳造粒工艺,采用单因素试验和响应面分析法对主要造粒工艺参数进行优化并得到回归模型,最佳造粒工艺条件为：雾化压力0.19 MPa、进风温度59.21℃、蠕动泵泵速3.13 r/min,经回归分析表明：模型的决定系数R^2为98.81%,造粒后葛根全原粉溶解率预测值为66.48%±0.383%。经验证试验在最佳造粒工艺条件下,造粒后的葛根全原粉溶解率为66.49%±2.44%,较造粒前提高33.98个百分点,且造粒后产品得率可达91.62%,对有效成分葛根素无显著影响,回归模型的相对误差小于1%,表明响应面法对葛根全原粉造粒工艺合理可行。研究结果为速...
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| Published in | 农业工程学报 Vol. 32; no. 19; pp. 296 - 301 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
邵阳学院生物与化学工程系，邵阳 422000
2016
豆制品加工技术湖南省应用基础研究基地，邵阳 422000%邵阳学院生物与化学工程系,邵阳,422000%湖南省和鑫生物科技有限公司,武冈,422400 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2016.19.040 |
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| Abstract | 为探索运用沸腾造粒技术对高膳食纤维葛根全原粉的最佳造粒工艺,采用单因素试验和响应面分析法对主要造粒工艺参数进行优化并得到回归模型,最佳造粒工艺条件为：雾化压力0.19 MPa、进风温度59.21℃、蠕动泵泵速3.13 r/min,经回归分析表明：模型的决定系数R^2为98.81%,造粒后葛根全原粉溶解率预测值为66.48%±0.383%。经验证试验在最佳造粒工艺条件下,造粒后的葛根全原粉溶解率为66.49%±2.44%,较造粒前提高33.98个百分点,且造粒后产品得率可达91.62%,对有效成分葛根素无显著影响,回归模型的相对误差小于1%,表明响应面法对葛根全原粉造粒工艺合理可行。研究结果为速溶葛根全原粉的进一步开发利用提供参考。 |
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| AbstractList | TS255; 为探索运用沸腾造粒技术对高膳食纤维葛根全原粉的最佳造粒工艺，采用单因素试验和响应面分析法对主要造粒工艺参数进行优化并得到回归模型，最佳造粒工艺条件为：雾化压力0.19 MPa、进风温度59.21℃、蠕动泵泵速3.13 r/min，经回归分析表明：模型的决定系数R2为98.81%，造粒后葛根全原粉溶解率预测值为66.48%±0.383%。经验证试验在最佳造粒工艺条件下，造粒后的葛根全原粉溶解率为66.49%±2.44%，较造粒前提高33.98个百分点，且造粒后产品得率可达91.62%，对有效成分葛根素无显著影响，回归模型的相对误差小于1%，表明响应面法对葛根全原粉造粒工艺合理可行。研究结果为速溶葛根全原粉的进一步开发利用提供参考。 为探索运用沸腾造粒技术对高膳食纤维葛根全原粉的最佳造粒工艺,采用单因素试验和响应面分析法对主要造粒工艺参数进行优化并得到回归模型,最佳造粒工艺条件为：雾化压力0.19 MPa、进风温度59.21℃、蠕动泵泵速3.13 r/min,经回归分析表明：模型的决定系数R^2为98.81%,造粒后葛根全原粉溶解率预测值为66.48%±0.383%。经验证试验在最佳造粒工艺条件下,造粒后的葛根全原粉溶解率为66.49%±2.44%,较造粒前提高33.98个百分点,且造粒后产品得率可达91.62%,对有效成分葛根素无显著影响,回归模型的相对误差小于1%,表明响应面法对葛根全原粉造粒工艺合理可行。研究结果为速溶葛根全原粉的进一步开发利用提供参考。 |
| Abstract_FL | To explorethe use ofboiling granulation technology for the optimization of high dietary fiberPuerariae radix powder with granulation process, in this study, the main parameters (i.e., atomizing pressure, inlet air temperature, peristaltic pump speed) of granulation process were optimized by the response surface methodology on the basis of single factor experiments. Based on that, the regression model was generated. The single factor experiment results showed that the parameters of boiling granulation were relative better when atomizing pressure at 0.20 MPa, inlet air temperature at 60℃, peristaltic pump speed at 3 r/min. We analyzed the above single factor experiment results by response surface methodology to obtain the optimal granulation process regression modelThe variance analysis of the regression model, the regression probability wasP<0.0100. On the other hand, the test for lack of fit of the regression model was P=0.5100>0.1000, showing that the response surface test results and the regression model fitted well, and the test error was small. Therefore, the regression model can be used to analyze and predict the tested results. The determination coefficient of the regression model wasR2=0.9881. TheCV was 2.21% indicating that the confidence of the model was high, and the model could better reflect the real test results. Therefore, this regression model could be used to analyze the change of response parameters. TheFvalue from the variance analysis indicated the effect of the three factors on the dissolution rate ofPuerariae radix powder after boiling granulation withB>A>C. The analysis also showed that the effect factors ofA,B andC on the dissolution rate of Puerariae radix powder were very significant (P<0.01), whileAand B,Aand C orBand C had no significant difference on the dissolution rate ofPuerariae radix powder (P>0.05). Through the method of the response surface analysis software to forecast the optimum technological condition of the regression model, it was concluded that the theoretical optimum boiling granulation process parameters were: atomizing pressure 0.19 MPa, inlet air temperature 59.21℃, peristaltic pump speed 3.13 r/min, and the predictive dissolution rate ofPuerariae radix powder after granulation was 66.48%±0.383%. To verified this, and based on the actual convenience operation of the plant, we put conditions of the best boiling granulation process as atomizing pressure 0.19 MPa, inlet air temperature 59℃, peristaltic pump speed 3 r/min. The verification test showed that the dissolution rate ofPuerariae radix powder was 66.49%±2.44% for the best boiling granulation conditions with three replicates. However the regression model predictive response dissolution rate ofPuerariae radix powder was 66.48%±0.383%, the relative error was below 1%, the differentiation was not significant, indicating this optimization of boiling granulation technology ofPuerariae radix was practicable. Under the optimal condition the dissolution rate ofPuerariae radix powder was 33.98 percentage points higher compared to 32.51%±0.63% before boiling granulation, and the product yield reached 91.62%. The relative error between the estimating date of regressive model and actual date was less than 1%, showing that the granulation conditions were reasonable. Under the best granulation conditions, there was no significant difference at the Puerarin content. Our results offer theory utilization evidence for the further development of the instantPuerariae radix powder. |
| Author | 尹乐斌 夏秋良 张臣飞 杨莹 夏晓玲 赵良忠 |
| AuthorAffiliation | 邵阳学院生物与化学工程系,邵阳422000 湖南省和鑫生物科技有限公司,武冈422400 豆制品加工技术湖南省应用基础研究基地,邵阳422000 |
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| Author_FL | Yin Lebin Zhao Liangzhong Yang Ying Zhang Chenfei Xia Qiuliang Xia Xiaoling |
| Author_FL_xml | – sequence: 1 fullname: Yin Lebin – sequence: 2 fullname: Xia Qiuliang – sequence: 3 fullname: Zhang Chenfei – sequence: 4 fullname: Yang Ying – sequence: 5 fullname: Xia Xiaoling – sequence: 6 fullname: Zhao Liangzhong |
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| Keywords | models 试验 模型 experiments 葛根全原粉 溶解率 response surface methodology Puerariae radix powder dissolution rate optimization 优化 响应面法 boiling granulation 沸腾造粒 |
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| Notes | 11-2047/S To explorethe use ofboiling granulation technology for the optimization of high dietary fiberPuerariae radix powder with granulation process, in this study, the main parameters （i.e., atomizing pressure, inlet air temperature, peristaltic pump speed） of granulation process were optimized by the response surface methodology on the basis of single factor experiments. Based on that, the regression model was generated. The single factor experiment results showed that the parameters of boiling granulation were relative better when atomizing pressure at 0.20 MPa, inlet air temperature at 60℃, peristaltic pump speed at 3 r/min. We analyzed the above single factor experiment results by response surface methodology to obtain the optimal granulation process regression modelThe variance analysis of the regression model, the regression probability was P〈0.0100. On the other hand, the test for lack of fit of the regression model was P=0.5100〉0.1000, showing that the response surface test results and the regressio |
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| Publisher | 邵阳学院生物与化学工程系，邵阳 422000 豆制品加工技术湖南省应用基础研究基地，邵阳 422000%邵阳学院生物与化学工程系,邵阳,422000%湖南省和鑫生物科技有限公司,武冈,422400 |
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| Snippet | 为探索运用沸腾造粒技术对高膳食纤维葛根全原粉的最佳造粒工艺,采用单因素试验和响应面分析法对主要造粒工艺参数进行优化并得到回归模型,最佳造粒工艺条件为：雾化压... TS255; 为探索运用沸腾造粒技术对高膳食纤维葛根全原粉的最佳造粒工艺，采用单因素试验和响应面分析法对主要造粒工艺参数进行优化并得到回归模型，最佳造粒工艺条件为：雾... |
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| SubjectTerms | 优化 响应面法 模型 沸腾造粒 溶解率 葛根全原粉 试验 |
| Title | 葛根全原粉沸腾造粒工艺优化 |
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