大学化学 >> 2026, Vol. 41 >> Issue (6): 457-466.doi: 10.12461/PKU.DXHX202504002

自学之友 上一篇    

不同数据处理软件在物理化学实验中的应用——以电导法测定醋酸平衡常数为例

陈亮亭, 范建训, 高锦红, 张田欣   

  1. 渭南师范学院化学与材料学院, 陕西 渭南 714099
  • 收稿日期:2025-04-01 录用日期:2025-07-21 发布日期:2026-06-18
  • 通讯作者: 陈亮亭 E-mail:ltchen@wnu.edu.cn Liangting Chen
  • 基金资助:
    渭师范学院人才项目(2023RC08)资助

Applications of diverse data processing software in physical chemistry experiments: a case study on determining acetic acid’s equilibrium constant via conductivity method

Liangting Chen, Jianxun Fan, Jinhong Gao, Tianxin Zhang   

  1. College of Chemistry and Materials Science, Weinan Normal University, Weinan 714099, Shaanxi Province, China
  • Received:2025-04-01 Accepted:2025-07-21 Published:2026-06-18
  • Contact: Liangting Chen E-mail:ltchen@wnu.edu.cn

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摘要： 物理化学实验中会涉及到大量的实验数据，人为处理数据会引起个人误差，而采用数据处理软件则可克服这一问题。目前存在多样的数据处理软件，这些软件都具有不同的优势。本文探讨了不种计算机数据处理软件在物理化学实验中的应用，主要包括Excel、Origin、SPSS、MATLAB和Python软件。结合具体物理化学实验(弱电解质醋酸的平衡电离常数)数据处理过程对各软件的功能特点进行了介绍，并进一步阐述了不同软件在数据记录、整理、分析、拟合以及可视化展示等方面的优势和适用场景，结果表明对于中等数据处理量的实验，Origin在数据处理及图形绘制两方面的综合能力要优于其他软件，更适用于大部分科研工作。

关键词: 数据处理软件, 物理化学实验, Excel, Origin, SPSS, MATLAB, Python

Abstract: Physical chemistry experiments typically generate substantial datasets, where manual processing may introduce human errors—an issue effectively addressed by employing data processing software. Currently, multiple software options exist, each offering distinct advantages. This study examines the applications of various computational data processing tools (Excel, Origin, SPSS, MATLAB, and Python) in physical chemistry experiments, with a focus on processing data from the determination of the equilibrium ionization constant of acetic acid as a representative weak electrolyte. The functional characteristics of each software package are systematically compared, particularly regarding their capabilities in data recording, organization, analysis, curve fitting, and visualization. The results demonstrate that for experiments with moderate data volumes, Origin exhibits superior comprehensive performance in both data processing and graphical representation compared to other software, making it particularly suitable for most research tasks.

Key words: Data processing software, Physical chemistry experiments, Excel, Origin, SPSS, MATLAB, Python