新工科背景下项目驱动教学模式研究——以“便携式金属离子与农药残留智检系统”研发为例

doi:10.12461/PKU.DXHX202510037

University Chemistry ›› 2026, Vol. 41 ›› Issue (1): 204-212.doi: 10.12461/PKU.DXHX202510037

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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”

Xiaohong Li, Huanjiang Wang, Fang Tan, Xiaohua Cai, Yingchun Luo, Yanli Leng, Guoyong Zhou, Zhu Wen

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

Received:2025-10-15 Accepted:2025-11-25 Published:2025-12-30
Contact: Xiaohong Li E-mail:lixiaohong668@163.com

Abstract

Abstract: 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.

Key words: Heavy metal ion, Pesticide residue, Fluorescence probe, Chip, Intelligent detection system

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.

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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”

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