Application of Digital Detection Technology in Photocatalytic Experiments: Rapid Quantification of Dye Concentration
ZHU Bao-Lin1, TANG Ruo-Hao1, CHEN Yu-Tong1, YANG Qi-Fan1, GAO Lu-Bo2, LI Zhuo-Hao1, ZHENG Yi-Lin1, GUO Cheng3, HAN Cui-Yan3**, QIU Xiao-Hang1, DONG Qian-Kun2**
1. College of Chemistry,National Demonstration Center for Experimental Chemistry Education(Nankai University), Nankai University,Tianjin 300071,China; 2. College of Computer Science,Nankai University,Tianjin 300350, China; 3. School of Pharmacy,Jiangsu Medical College,Yancheng 224005,China
Abstract To address the challenges of cumbersome operations,long time consumption,and significant human error in the dye concentration analysis of traditional photocatalytic experiments,this study introduces digital detection technology into undergraduate laboratory teaching.A digital colorimetric analysis method based on smartphone imaging and partial least squares(PLS) regression algorithm is designed.Relying on the“noble metal-modified TiO2 photocatalytic degradation of methyl orange/methylene blue”integrated experimental system,a WeChat mini-program was independently developed that integrates image acquisition,RGB feature extraction,and cloud data processing.This method utilizes the PLS model to process multi-channel color data,effectively overcoming the limitations of traditional single-wavelength colorimetric methods,achieving rapid and accurate determination of dye concentration during the reaction process.The design incorporates smartphones as portable detection tools in chemical laboratory teaching,significantly enhancing experimental efficiency and data accuracy,and demonstrating excellent application value in cultivating students’ digital literacy and interdisciplinary innovative capabilities.
ZHU Bao-Lin, TANG Ruo-Hao, CHEN Yu-Tong, YANG Qi-Fan, GAO Lu-Bo, LI Zhuo-Hao, ZHENG Yi-Lin, GUO Cheng, HAN Cui-Yan, QIU Xiao-Hang, DONG Qian-Kun. Application of Digital Detection Technology in Photocatalytic Experiments: Rapid Quantification of Dye Concentration[J]. Chinese Journal of Chemical Education, 2026, 47(16): 29-37.
