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Sensitive Detection of Caffeic Acid and Rutin via the Enhanced Anodic Electrochemiluminescence Signal of Luminol

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Abstract

The electrooxidation of phenolic groups of caffeic acid and rutin promote anodic electrochemiluminescence (ECL) luminol substantially. A sensitive, and cost-effective ECL method has thus been developed to detect caffeic acid, ranging from 0.1 to 5.0 μM, with a detection limit of 0.1 μM and rutin ranging from 0.2 to 25 μM with a detection limit of 0.12 μM. Contrarily, phenolic compounds quench the weak cathodic ECL of luminol. Both of anodic and cathodic ECL mechanisms of luminol in the presence of phenolic compounds are analyzed. The method based on the boomed anodic ECL of luminol is comparable to those based on Ru(bpy)3 2+ and S2O8 2–/O2 systems. A lower onset potential and price than the other ECL reagents would realize its widely applications in the detection of phenolic compounds in food and medicine.

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Acknowledgments

The research is supported by from the Shenzhen Science and Technology Innovation Committee (JCYJ20151013162733704), Xuanjia Medical Health Technology Co., Ltd., Guangdong, China, the Starting Research Grant for New Staff of Harbin Institute of Technology (Shenzhen), and the Starting Research Grant for High-Level Personnel Overseas of Shenzhen City.

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Authors and Affiliations

  1. Flexible Printed Electronics Technology Center, Harbin Institute of Technology, Shenzhen, 518055, China

    Tianlai Xia, Yuan Gao, Xinyu Wang, Guangxing Pan, Zhenyuan Wang, Xing Ma, Weiwei Zhao & Jiaheng Zhang

  2. College of Applied Chemistry, Shenyang University of Chemical Technology, Shenyang, 110142, China

    Shuang Han

  3. School of Science, Harbin Institute of Technology, Shenzhen, 518055, China

    Yuan Gao & Ling Zhang

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  1. Tianlai Xia
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  2. Yuan Gao
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  3. Ling Zhang
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  9. Weiwei Zhao
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Correspondence to Ling Zhang or Jiaheng Zhang.

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Xia, T., Gao, Y., Zhang, L. et al. Sensitive Detection of Caffeic Acid and Rutin via the Enhanced Anodic Electrochemiluminescence Signal of Luminol. ANAL. SCI. 36, 311–316 (2020). https://doi.org/10.2116/analsci.19P274

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