李婧,赵东方,魏丹,张敏.柑橘皮渣/淀粉基复合发泡材料加工工艺优化[J].包装工程,2015,36(3):36-41,53.
LI Jing,ZHAO Dong-fang,WEI Dan,ZHANG Min.Process Optimization for Composite Foam Material Based on Citrus Pericarp Residue and Starch[J].Packaging Engineering,2015,36(3):36-41,53. |
| 柑橘皮渣/淀粉基复合发泡材料加工工艺优化 |
| Process Optimization for Composite Foam Material Based on Citrus Pericarp Residue and Starch |
| 投稿时间：2014-06-24 修订日期：2015-02-10 |
| DOI： |
| 中文关键词: 柑橘皮渣 淀粉 甘油 水分 响应面法 |
| 英文关键词: citrus pericarp residue starch glycerol water response surface methodology |
| 基金项目:国家863计划项目 （2011AA100805-2） |
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| 中文摘要: |
| 目的 利用响应面分析法对柑橘皮渣/淀粉基材料加工工艺进行优化。方法 在单因素实验基础上选取试验因素与水平， 设计响应面试验进行挤出工艺优化， 通过考察成形材料的膨胀率、 表观性能和压缩强度， 筛选出具有较好发泡效果和一定压缩性能的材料成形工艺配方。结果 甘油和水分含量对柑橘皮渣/淀粉基复合发泡材料的成形具有显著影响。柑橘皮渣/淀粉基复合发泡材料的最佳工艺优化参数为皮渣、 甘油、 水分质量分数分别为30%， 30%， 35%。在此参数条件下得到的材料其表观密度为0.942 g/cm3， 膨胀率为287.82%， 压缩强度为210.58 kPa。结论 利用响应面法分析并优化柑橘皮渣/淀粉基材料加工工艺的方法可行， 获得的响应面模型可用于预测真实值。 |
| 英文摘要: |
| To optimize the process for the composite foam material based on citrus pericarp residue/starch. First of all, one-factor-at-a-time experiments were done to select the factors and levels for the test, then the response surface test was designed to optimize the extrusion parameters. The formulation of material molding with better foaming effect and certain compressing performance was screened out by examining the expansion radius, apparent density and compressive strength of the molding material. The results showed that glycerol and water contents had significant effects on the composite foam material. The optimal parameters of citrus peel/starch-based composite foam material were obtained: bran 30% , glycerol 30% , and water 35% . Under this condition, the apparent density of the material was 0.942 g/cm3, the expansion was 287.82%, and the compression strength was 210.58 kPa. The results indicated that using response surface method to analyze and optimize the processing parameters of the composite foam material based on citrus pericarp residue/starch was feasible, and the obtained response surface model could be used to predict true values． |
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