Portable colorimetric detection of copper ion in drinking water via red beet pigment and smartphone
| Autor: | Yingnan Liu, Li Wang, Yuanyuan Cao, Yuhang Shui, Fan Li, Shuwen Guo, Hanyue Xue |
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| Rok vydání: | 2019 |
| Předmět: |
inorganic chemicals
Detection limit Aqueous solution Chromatography Metal ions in aqueous solution 010401 analytical chemistry chemistry.chemical_element 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Copper Redox 0104 chemical sciences Analytical Chemistry Pigment chemistry visual_art visual_art.visual_art_medium Chelation Water quality 0210 nano-technology Spectroscopy |
| Zdroj: | Microchemical Journal. 150:104176 |
| ISSN: | 0026-265X |
| Popis: | The concentration of copper ion (Cu2+) in drinking water is closely related to the water quality and human health. Therefore, it is necessary to develop a novel, efficient and selective method for the detection of Cu2+ in drinking water. In this work, natural food pigment—red beet pigment was selected as a colorimetric indicator for the detection of Cu2+, which possessed a bright color, excellent water solubility and safety. Under alkaline condition, red beet pigment reacted selectively with Cu2+ by redox reaction and chelation, resulting in a color change from purple to orange-red. After analyzing the blue (B) value of the red beet pigment solution, it could be found that there was a good linear relationship between B value and the concentration of Cu2+ in the range of 4–20 μM, with a detection limit of 0.84 μM. In addition, a smart phone application based on Android system was developed for visual detection of Cu2+ by identifying B value of the colorimetric probe solution. The feasibility of this method was successfully verified in the detection of Cu2+ in drinking water by the standard-addition method, reflecting its great potential of practical application in environment monitoring and food security controlling. The method provides a new insight for rapid detection of heavy metal ions using nature pigments. |
| Databáze: | OpenAIRE |
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