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实验参数对可光聚合相微胶囊化的影响。

Influence of experimental parameters on the microencapsulation of a photopolymerizable phase.

作者信息

Pernot J M, Brun H, Pouyet B, Sergent M, Phan-Tan-Luu R

机构信息

Laboratoire de Photochimie Appliquée, Université Claude Bernard Lyon I, Villeurbanne, France.

出版信息

J Microencapsul. 1993 Jul-Sep;10(3):323-8. doi: 10.3109/02652049309031522.

DOI:10.3109/02652049309031522
PMID:8377090
Abstract

Conditions of microencapsulation by in situ polycondensation, using melamine-formaldehyde as wall material, are influenced by the chemical nature of the core to encapsulate. In our study concerning the encapsulation of a photopolymerizable phase containing an electrically charged compound, it was necessary to modify the experimental process to obtain capsules of good quality. We used the factorial design method of screening by utilization of an asymmetric matrix, according to the collapsing principle of Addleman. The advantage of this method is that it allows determination of the simultaneous influences of the 11 experimental parameters involved in this preparation. The calculation method can be applied to more than two levels for some of the factors. The continuously varying parameters were altered between two extreme levels, chosen to allow encapsulation. For discontinuous factors, such as the molecular weight of the modifying system or nature of the aminoplast, we used the commercially available compounds, respectively three and four kinds. The results of the obtained capsules were determined by comparing microphotographic pictures. With 16 experiments we found four more factors influencing quality of capsules. We also determined the most favourable levels for the other seven parameters. The results allowed us to find optimal conditions in the experimental field. We obtained capsules of a satisfactory quality for this purpose, using only minimum experimentation.

摘要

以三聚氰胺 - 甲醛为壁材通过原位缩聚进行微胶囊化的条件,受到待包封核心的化学性质影响。在我们关于含有带电化合物的可光聚合相包封的研究中,有必要修改实验过程以获得高质量的胶囊。我们根据阿德尔曼的折叠原理,利用不对称矩阵采用因子设计筛选方法。该方法的优点是能够确定此制备过程中涉及的11个实验参数的同时影响。对于某些因素,计算方法可应用于两个以上水平。连续变化的参数在两个极端水平之间改变,这两个极端水平的选择是为了实现包封。对于不连续因素,如改性体系的分子量或氨基塑料的性质,我们分别使用了三种和四种市售化合物。通过比较显微照片确定所得胶囊的结果。通过16次实验,我们发现了另外四个影响胶囊质量的因素。我们还确定了其他七个参数的最有利水平。结果使我们能够在实验范围内找到最佳条件。为此,仅通过最少的实验,我们就获得了质量令人满意的胶囊。

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