Department of Civil and Environmental Engineering, Trento University, Via Mesiano 77, 38123 Trento (TN), Italy.
Bioresour Technol. 2012 Jan;103(1):389-97. doi: 10.1016/j.biortech.2011.09.113. Epub 2011 Oct 2.
Thermo-gravimetric analysis (TGA) was performed on grape seeds, skins, stalks, marc, vine-branches, grape seed oil and grape seeds depleted of their oil. The TGA data was modeled through Gaussian, logistic and Miura-Maki distributed activation energy models (DAEMs) and a simpler two-parameter model. All DAEMs allowed an accurate prediction of the TGA data; however, the Miura-Maki model could not account for the complete range of conversion for some substrates, while the Gaussian and logistic DAEMs suffered from the interrelation between the pre-exponential factor k0 and the mean activation energy E0--an obstacle that can be overcome by fixing the value of k0 a priori. The results confirmed the capabilities of DAEMs but also highlighted some drawbacks in their application to certain thermodegradation experimental data.
热重分析（TGA）应用于葡萄种子、葡萄皮、葡萄梗、葡萄渣、葡萄藤枝、葡萄籽油和脱油葡萄籽。TGA 数据通过高斯、逻辑和三谷幸喜-Maki 分布的活化能模型（DAEM）和一个更简单的双参数模型进行建模。所有的 DAEM 都能准确地预测 TGA 数据；然而，对于一些基质，Miura-Maki 模型不能解释完全的转化率范围，而高斯和逻辑 DAEM 则受到前指数因子 k0 和平均活化能 E0 之间的相互关系的影响——通过预先固定 k0 的值可以克服这一障碍。研究结果证实了 DAEM 的能力，但也突出了它们在某些热降解实验数据中的应用存在一些缺点。
