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Updated: Jul 4, 2026

Using Capillary Electrophoresis to Quantify Organic Acids from Plant Tissue: A Test Case Examining Coffea arabica Seeds
Published on: November 12, 2016
Sensitive determination of caffeoylquinic acid in food and blood samples using nanostructured conducting polymer
Hao Tang1, Jian Shen2, Jindong Dai2
1Department of Clinical Laboratory, Affiliated People's Hospital of Jiangsu University, 212006 Zhenjiang, Jiangsu, PR China.
Abstract:
3-Caffeoylquinic acid (3-CQA), a prominent phenolic acid, plays a critical role in glucose metabolism and is associated with the prevention of type-2 diabetes. The selective and sensitive detection of 3-CQA remains challenging due to interferences from substances such as caffeine (CAF) and the instability of signals from unmodified electrodes. To address this, this study developed a nanostructured conducting polymer composite based on acid-functionalized multi-walled carbon nanotubes (FMWCNTs) and 3-amino-5-mercapto-1,2,4-triazole (AMTa), which was integrated onto a glassy carbon electrode (GCE) for the selective detection of 3-CQA. The composite electrode (GCE/OD/FMWCNTs/p-AMTa) was thoroughly characterized using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FT-IR), atomic force microscopy (AFM), X-ray photoelectron spectroscopy (XPS), and electrochemical analysis. In contrast to the unmodified GCE, which fails to maintain a stable voltametric profile for 3-CQA detection due to the deposition of its oxidation products, the composite-modified electrode demonstrates a stable electrochemical response, with a fourfold increase in the catalytic oxidation current. This improvement is attributed to the strong electrostatic and hydrogen-bonding interactions between the heteroatoms in the polymer backbone of p-AMTa and 3-CQA, as well as the π-π interactions between FMWCNTs and the aromatic ring of 3-CQA. Additionally, selective determination of 3-CQA is achieved even in the presence of 500 times the concentration of CAF. The amperometric i-t curve exhibits a significant increase in response to 3-CQA concentrations ranging from 0.1 to 200 μM, with a detection limit (LOD) of 30 nM (S/N = 3). The proposed sensor demonstrates excellent performance in detecting 3-CQA in blood, coffee, tea, and various food samples, yielding satisfactory recovery results.

