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Citation: Wenhui Li, Changshuo Zhu, Xinyu Cui, Chenfei Zhao, Lina Qiu, Yan Li, Chuandong Wu, Min Yang, Yuan Zhuang. Visual Determination of Acid-Base Titration Endpoints Using Smartphone APP-Based Analysis[J]. University Chemistry, ;2025, 40(7): 328-335. doi: 10.12461/PKU.DXHX202409062 shu

Visual Determination of Acid-Base Titration Endpoints Using Smartphone APP-Based Analysis

Department of Chemistry and Chemical Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China

Corresponding author: Wenhui Li, liwh@ustb.edu.cn
Received Date: 12 September 2024
Revised Date: 9 December 2024

This study innovatively applies the RGB (Red, Green, Blue) detection method to analytical chemistry teaching experiments. Utilizing our self-developed Color Picker software to monitor RGB value variations during the titration process, we established an analytical approach for endpoint determination based on second-order differential changes in the G/(R+G+B) ratio. When implemented in the “Standardization of Hydrochloric Acid Solution with Anhydrous Sodium Carbonate” experiment, the method demonstrated endpoint errors below 0.1%, with a relative standard deviation of 0.084% across triplicate measurements. Compared with conventional visual titration, this technique exhibits superior accuracy and reproducibility while providing accessibility for color vision-deficient students. The experiment not only fosters students’ rigorous scientific approach but also stimulates innovative thinking, enhancing their practical understanding of chemical experimentation.
- Acid-base titration,
- Visualization,
- RGB detection,
- Second-order differential values,
- Endpoint error
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