Citation: Xiaohong Li, Huanjiang Wang, Fang Tan, Xiaohua Cai, Yingchun Luo, Yanli Leng, Guoyong Zhou, Zhu Wen. Research on the Project-Driven Teaching Model in the Context of New Engineering: A Case Study of the Development of a “Portable Metal ions and Pesticide Residues Intelligent Detection System”[J]. University Chemistry, ;2026, 41(1): 204-212. doi: 10.12461/PKU.DXHX202510037 shu

Research on the Project-Driven Teaching Model in the Context of New Engineering: A Case Study of the Development of a “Portable Metal ions and Pesticide Residues Intelligent Detection System”

School of Chemical Engineering, Guizhou Minzu University, Guizhou 550025, China

Corresponding author: Xiaohong Li, lixiaohong668@163.com
Received Date: 15 October 2025
Revised Date: 25 November 2025

Based on the principles of physical chemistry, this study integrates knowledge from organic chemistry, analytical chemistry, and computer science to develop an “Intelligent detection system for metal ions and pesticide residues” using a high-precision starch-based carbon dot sensor chip. The system employs a low-cost and safe hydrogel matrix, with corn starch serving as the raw material for chip fabrication. Combined with a self-developed Android/HarmonyOS application—written in Java within the Android Studio environment—the system enables efficient and economical intelligent analysis and monitoring of metal ions and pesticide residues. This approach is user-friendly, innovative, and practical, enhancing both student engagement and the educational value of experimental teaching, while offering a valuable case study for interdisciplinary teaching reform.
- Heavy metal ion,
- Pesticide residue,
- Fluorescence probe,
- Chip, Intelligent detection system
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