A portable dual-mode colorimetric and fluorescence sensing platform for RGB detection in liquid solutions

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2024-10-28 DOI:10.1016/j.measurement.2024.116091

Liang Huang , Jiaxu Shui , Jingui Qian , Jin Zhang , Fan Ni , Haojie Xia

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引用次数: 0

Abstract

The color of liquids is crucial in food safety, pharmaceuticals, cosmetics, and environmental monitoring. Traditional color measurement methods typically require expensive spectrophotometers, limiting their utility in rapid testing and cost-effective applications. This study developed a cost-effective, portable dual-mode colorimetric and fluorescence sensing platform with using the TCS230 sensor and STM32F103ZET6 microcontroller for real-time RGB color detection. Equipped with built-in white and ultraviolet light sources, the platform operates reliably across different environmental conditions, aided by its darkroom design and white balance calibration strategy to minimize ambient light interference. Tests with fluorescent and dye solutions show stability and reliability of the platform. The relationship between color saturation and concentration under different concentrations showed the excellent correlation coefficients above 0.99 for CuSO₄ and KMnO₄ solutions. The measurement deviations of 1.93% to 3.41%, render it an efficient tool for on-site and multiple-mode color testing.

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用于液体溶液中 RGB 检测的便携式双模式比色法和荧光传感平台

液体的颜色对食品安全、药品、化妆品和环境监测至关重要。传统的颜色测量方法通常需要昂贵的分光光度计，限制了其在快速检测和高性价比应用中的实用性。本研究利用 TCS230 传感器和 STM32F103ZET6 微控制器开发了一种高性价比的便携式双模比色法和荧光传感平台，用于实时 RGB 颜色检测。该平台配备内置白光和紫外光源，可在不同环境条件下可靠运行，其暗室设计和白平衡校准策略可最大限度地减少环境光干扰。荧光溶液和染料溶液的测试表明了该平台的稳定性和可靠性。对于 CuSO4 和 KMnO4 溶液，不同浓度下颜色饱和度与浓度之间的关系显示出高于 0.99 的极佳相关系数。测量偏差为 1.93% 至 3.41%，使其成为现场和多种模式颜色测试的有效工具。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.