大学化学 >> 2026, Vol. 41 >> Issue (7): 342-350.doi: 10.12461/PKU.DXHX202508083

化学实验 上一篇    

硫酸铵中氮含量测定的数字化设计

佟艳斌1, 郑博含2, 于子淇1, 苏宁1, 张宇龙2, 梅启轩1, 马艺桐1   

  1. 1 大庆师范学院化学工程学院, 黑龙江 大庆 163712;
    2 大庆师范学院机电工程学院, 黑龙江 大庆 163712
  • 收稿日期:2025-08-25 录用日期:2025-11-05 发布日期:2026-06-27
  • 通讯作者: 佟艳斌 E-mail:tongyanbin163@163.com Yanbin Tong
  • 基金资助:
    黑龙江省自然科学基金项目(LH2024B022)

Digital design for determining nitrogen content in ammonium sulfate

Yanbin Tong1, Bohan Zheng2, Ziqi Yu1, Ning Su1, Yulong Zhang2, Qixuan Mei1, Yitong Ma1   

  1. 1 College of Chemical Engineering, Daqing Normal University, Daqing 163712, Heilongjiang Province, China;
    2 School of Mechatronics Engineering, Daqing Normal University, Daqing 163712, Heilongjiang Province, China
  • Received:2025-08-25 Accepted:2025-11-05 Published:2026-06-27
  • Contact: Yanbin Tong E-mail:tongyanbin163@163.com

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摘要： 分析化学实验教学中，硫酸铵中氮含量测定通常采用甲醛法，甲醛具有危害性，不利于开展学生实验，在判断滴定终点时辨别酚酞的颜色还会产生视觉误差。本研究通过数字化实验使问题得到有效解决，实验采用机械臂操控碱式滴定管，该装置与pH传感器相结合，可智能判断滴定终点pH，使实验可以在通风橱中进行滴定操作。数字化法测定氮含量的相对标准偏差为0.42%，总体平均值的置信区间为20.13%-20.33%，这些数值优于手动滴定法。通过显著性差异计算结果发现，数字化方法与手动方法精密度存在显著性差异，且数字化法的精密度更好。该设计适合推广到其他滴定实验中，可以为实验教学提供极具参考价值的实验方案。

关键词: 滴定分析, 硫酸铵, 数字化设计, 甲醛法

Abstract: In analytical chemistry laboratory instruction, the conventional formaldehyde method for determining nitrogen content in ammonium sulfate presents two significant drawbacks: formaldehyde’s toxicity poses safety concerns for student experiments, and visual endpoint determination using phenolphthalein indicator introduces observational errors. This study implements an innovative digital approach to address these limitations. The experimental setup incorporates a robotic arm-controlled burette system integrated with pH sensors for intelligent endpoint detection, with all procedures conducted within a fume hood. Results demonstrate the digital method’s superior precision, showing a relative standard deviation of 0.42% for nitrogen content determination and a confidence interval of 20.13% to 20.33% for the overall mean. Statistical analysis reveals significantly better precision compared to manual titration (p<0.05). This digital design demonstrates broad applicability for titration experiments and offers valuable implementation potential for chemistry education.

Key words: Titration analysis, Ammonium sulfate, Digital design, Formaldehyde method