This study explores the significance of isoconversional methods in thermal analysis and their pivotal role in evaluating the quality of experimental data. The thermal degradation of polylactic acid tannin nanocomposite and the non isothermal crystallization of poly(ethylene 2,5-furandicarboxylate) carbon nanotubes nanocomposites were studied. Four commonly used methods were employed to calculate activation energy (E_α) and pre-exponential factor versus the degree of conversion. The examination of error bars further contributed to evaluating the precision of calculations. The discussion covered the impact of temperature changes on data quality and highlighted the significant sensitivity to these variations. The accuracy of these measurements depends not only on factors like temperature and material quality but also on the specific mathematical method used for baseline subtraction. Isoconversional methods exhibit distinct behaviors, emphasizing the significance of precise data and analysis techniques. Temperature changes not only affect E_α but also slightly alter the curve shapes. Error bars exhibit increased sensitivity to even minor temperature changes. Missteps in baseline subtraction can lead to inaccurate results and affect the estimation of E_α. The study's overall findings highlight the necessity of stringent quality control measures to guarantee reliable and accurate kinetic analysis.

本研究探讨了等转换方法在热分析中的重要性及其在评估实验数据质量中的关键作用。研究了聚乳酸单宁纳米复合材料的热降解和聚2,5-呋喃二甲酸乙二醇酯碳纳米管纳米复合材料的非等温结晶。采用四种常用方法来计算活化能 (E _α ) 和指前因子与转化度的关系。误差线的检查进一步有助于评估计算的精度。讨论涵盖了温度变化对数据质量的影响，并强调了对这些变化的显着敏感性。这些测量的准确性不仅取决于温度和材料质量等因素，还取决于用于基线减法的特定数学方法。等转换方法表现出独特的行为，强调精确数据和分析技术的重要性。温度变化不仅影响 E _α，而且还会轻微改变曲线形状。误差线对即使是微小的温度变化也表现出更高的敏感性。基线减法中的失误可能会导致结果不准确并影响 E _α的估计。该研究的总体结果强调了严格的质量控制措施的必要性，以保证可靠和准确的动力学分析。