以苯胺(An)为单体,氨基磺酸(SA)为掺杂剂,过硫酸铵(APS)为氧化剂,采用化学氧化聚合法合成了掺杂态导电聚苯胺。考察了n(苯胺)/n(掺杂剂)、咒(苯胺)/n(氧化剂)和反应时间对聚苯胺电导率的影响。结果表明,当n(An):n(SA):n(APS)=1:6:0.4、反应时间为6h时,聚苯胺的电导率最高达到0.87S/cm。进一步利用灰色关联分析,定量地分析了各因素对掺杂态导电聚苯胺电导率的影响程度,得出了各因素影响电导率的大小顺序为掺杂剂、氧化剂、反应时间。并以氨基磺酸的添加量为基本建立了掺杂态导电聚苯胺电导率的灰色预测模型(灰色离散Ver—hulst模型),预测了氨基磺酸不同添加量下的电导率,平均预测精度为97.25%。结果证明,灰色系统理论在掺杂态导电聚苯胺的电导率的预测中是可行的。
With aniline(An) as monomer, sulfamic acid(SA) as dopant, ammonium persulfate(APS) as oxi- dant, prepared doped conductive polyaniline(PANI) via chemical oxidation polymerization. We researched the effect of molar ratio of An and dopant, An and oxidant, and reaction time to the conductivity of PANI. The conductivity of PANI was to 0.87S/cm, when reaction time was 6h and n (An) : n (SA) " n (APS) = 1 : 6 : 0.4. Furthermore, the extents of factors affecting the conductivity of PANI were analyzed quantitatively u- sing the grey relational analysis with the order of the dopant, oxidant, reaction time. And basing on grey predic- tion theory, the grey discrete Verhulst model of the conductivity of PANI was built with the sulfamic acid(SA) addition as base quantity by dealing with the original experiment data. The conductivity of PANI was predicted at the different sulfamic acid(SA) addition. The average accuracy was 97. 25%. The application examples showed that these new methods had higher accuracy, therefore the conductivity of PANI forecasting based on grey system theory was feasible.