Home

Citation: Shitong Wang, Yangyang He, Xihong Xiong, Wei Zhang, Meilin Xia, Fenglin Tang. 基于手机RGB图像-微信小程序的化学需氧量(COD)实时可视化快速分析[J]. University Chemistry, ;2026, 41(1): 394-405. doi: 10.12461/PKU.DXHX202506011 shu

基于手机RGB图像-微信小程序的化学需氧量(COD)实时可视化快速分析

1.
College of Chemistry and Chemical Engineering, China West Normal University, Nanchong 637000, Sichuan Province, China;
2.
College of Mathematics and Information, China West Normal University, Nanchong 637000, Sichuan Province, China;
3.
College of Computer Science, China West Normal University, Nanchong 637000, Sichuan Province, China

Corresponding author: Fenglin Tang, tfl06180205@cwnu.edu.cn
Received Date: 3 June 2025
Revised Date: 23 September 2025

Chemical oxygen demand (COD) serves as a crucial parameter for assessing organic pollution in water and represents a routine analytical requirement. Building upon the standard method HJ/T399-2007 (“Water Quality-Determination of Chemical Oxygen Demand-Rapid Digestion Spectrophotometric Method”), this study innovatively developed a smartphone-based real-time visual detection system for COD analysis. The system utilizes smartphone color recognition to extract RGB values from digested water samples and establishes a ternary multiple regression model based on these values. A dedicated WeChat mini-program was developed to enable online visualization and analysis of COD, facilitating rapid on-site measurement of multiple water samples. This approach demonstrates advantages including operational simplicity, cost-effectiveness, and rapid analysis. Educational practice has shown that this technology not only finds application in environmental monitoring but also effectively enhances analytical chemistry pedagogy. It promotes outdoor teaching activities for undergraduates, stimulates students’ interest in chemistry, fosters scientific thinking and innovation awareness, and cultivates rigorous scientific attitudes.
- Chemical oxygen demand (COD),
- RGB value,
- Smartphone,
- WeChat mini-program development
1. [1]
2. [2]
3. [3]
4. [4]
5. [5]
1. [1]
  Hongmei Chai , Yixia Ren , Xiangyang Hou , Long Tang , Jiawei Xie . 智能手机光传感的“丙酮碘化反应”实验改进. University Chemistry, 2025, 40(6): 193-200. doi: 10.12461/PKU.DXHX202407086
2. [2]
  Liwei Wang , Guangran Ma , Li Wang , Fugang Xu . A Comprehensive Analytical Chemistry Experiment: Colorimetric Detection of Vitamin C Using Nanozyme and Smartphone. University Chemistry, 2024, 39(8): 255-262. doi: 10.3866/PKU.DXHX202312094
3. [3]
  Lin LI , Le CHEN , Lingjie HOU , Jiaqi JING , Jiayu DING , Tao ZHOU , Ruiping ZHANG . Smartphone-assisted fluorescent silver nanoclusters as ratiometric sensor for visual colorimetric detection of sulfide. Chinese Journal of Inorganic Chemistry, 2025, 41(11): 2261-2271. doi: 10.11862/CJIC.20250130
4. [4]
  Chunfang Zhang , Cuimiao Zhang , Shuai Liu , Yaduo Zheng , Lin Yang , Kehan Jiang , Mingtao Run . Refined Experiment for Magnetic Susceptibility Determination: A Digital Empowered Experiment Based on WeChat Mini Program and Animated Video. University Chemistry, 2026, 41(1): 244-252. doi: 10.12461/PKU.DXHX202505056
5. [5]
  Yueming Zhou , Xin Qiu , Xin Zhou , Xiaotian Wan , Mofan Zhang , Feng Li , Xinxin Shao , Peng Ding , Xizhen Liang . Intelligent Visualization of Potassium Dichromate Reflux Method for Determination of Chemical Oxygen Demand. University Chemistry, 2026, 41(1): 85-94. doi: 10.12461/PKU.DXHX202506021
6. [6]
  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. University Chemistry, 2025, 40(7): 328-335. doi: 10.12461/PKU.DXHX202409062
7. [7]
  Xin Zhou , Yiting Huo , Songyu Yang , Bowen He , Xiaojing Wang , Zhen Wu , Jianjun Zhang . Understanding the effect of pH on protonated COF during photocatalytic H₂O₂ production by femtosecond transient absorption spectroscopy. Acta Physico-Chimica Sinica, 2025, 41(12): 100160-0. doi: 10.1016/j.actphy.2025.100160
8. [8]
  Dan Liu . 可见光-有机小分子协同催化的不对称自由基反应研究进展. University Chemistry, 2025, 40(6): 118-128. doi: 10.12461/PKU.DXHX202408101
9. [9]
  Min Gu , Huiwen Xiong , Liling Liu , Jilie Kong , Xueen Fang . Rapid Quantitative Detection of Procalcitonin by Microfluidics: An Instrumental Analytical Chemistry Experiment. University Chemistry, 2024, 39(4): 87-93. doi: 10.3866/PKU.DXHX202310120
10. [10]
  Jing Du , Xi Yu , Xiaofei Ma , Wentao Zhao . Artificial Intelligence & Chemistry Course Construction. University Chemistry, 2024, 39(11): 65-71. doi: 10.12461/PKU.DXHX202403072
11. [11]
  Weigang Zhu , Jianfeng Wang , Qiang Qi , Jing Li , Zhicheng Zhang , Xi Yu . Curriculum Development for Cheminformatics and AI-Driven Chemistry Theory toward an Intelligent Era. University Chemistry, 2025, 40(9): 34-42. doi: 10.12461/PKU.DXHX202412002
12. [12]
  Danwei Zhang . Development and Implementation of the Organic Chemistry Smart Curriculum: Taking the Development of Tröger Base Knowledge Platform as an Example. University Chemistry, 2025, 40(12): 168-173. doi: 10.12461/PKU.DXHX202509096
13. [13]
  Fengxiao Wang , Zhiwei Miao , Yaofeng Yuan . 有机磷化学与化学教学. University Chemistry, 2025, 40(8): 158-168. doi: 10.12461/PKU.DXHX202410077
14. [14]
  Kaiping Yang , Qiang Zhou , Wei Wei , Wei Shao . Chemistry in Everyday Life: From Hand Warmers to Phase Change Energy Storage Materials. University Chemistry, 2026, 41(2): 307-313. doi: 10.12461/PKU.DXHX202502122
15. [15]
  Yifan Liu , Haonan Peng . AI-Assisted New Era in Chemistry: A Review of the Application and Development of Artificial Intelligence in Chemistry. University Chemistry, 2025, 40(7): 189-199. doi: 10.12461/PKU.DXHX202405182
16. [16]
  Jizhu Zhou , Xiao Wei , Kaixue Wang . Deep Integration of Artificial Intelligence and Chemical Research: Applying the Fourth Paradigm and Evolving the Role of Chemists. University Chemistry, 2025, 40(12): 119-125. doi: 10.12461/PKU.DXHX202509003
17. [17]
  Tongqi Ye , Qi Wang , Yuewen Ye , Yanqing Wang , Hongyang Zhou , Xianghua Kong . Reflection on the Reform of Physical Chemistry Teaching under the Background of “Intelligent Chemical Engineering”. University Chemistry, 2024, 39(3): 167-173. doi: 10.3866/PKU.DXHX202308116
18. [18]
  Meirong Cui , Mo Xie , Jie Chao . Design and Reflections on the Integration of Artificial Intelligence in Physical Chemistry Laboratory Courses. University Chemistry, 2025, 40(5): 291-300. doi: 10.12461/PKU.DXHX202412015
19. [19]
  Cheng-an Tao , Jian Huang , Yujiao Li . Exploring the Application of Artificial Intelligence in University Chemistry Laboratory Instruction. University Chemistry, 2025, 40(9): 5-10. doi: 10.12461/PKU.DXHX202408132
20. [20]
  Xiao Ma , Junjie Wang , Xin Chen , Jingcheng Li , Lihong Zhao , Xueping Sun , Shaojuan Cheng , Fang Wang . Exploring Innovative Approaches to Chemistry Instructional Organization Driven by Artificial Intelligence. University Chemistry, 2025, 40(9): 99-106. doi: 10.12461/PKU.DXHX202410085

Get Citation

PDF

XML

Metrics

PDF Downloads(2)
Abstract views(472)
HTML views(81)

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Address：Zhongguancun North First Street 2,100190 Beijing, PR China Tel: +86-010-82449177-888

DownLoad: Full-Size Img PowerPoint

Return