基于电化学发光的砷（III）传感器：采用丝网印刷金电极上的鲁米诺
收稿日期: 2025-07-09
录用日期: 2025-11-14
网络出版日期: 2025-11-14
An Electrochemiluminescence-Based Arsenic (III) Sensor using Luminol on Screen-Printed Gold Electrodes
Received date: 2025-07-09
Accepted date: 2025-11-14
Online published: 2025-11-14
在丝网印刷金电极上研究了鲁米诺的电化学发光，用于简单而灵敏地检测砷离子（砷(III)）。采用循环伏安法研究了鲁米诺的电化学行为，并评估了砷离子对电化学发光体系的影响；同时以过氧化氢作为共反应物，在碱性条件下增强了鲁米诺发光效率。通过精细优化pH值、扫描速率及过氧化氢/鲁米诺浓度等关键参数，实现了电极性能最优化。结果表明，砷(III)的存在对鲁米诺/过氧化氢电化学发光系统产生淬灭效应，导致该系统在1 nmol·L-1至150 µmol·L-1的宽浓度范围内电化学发光信号呈线性衰减，展现出1.21 nmol·L-1的低检测限，并具有2.27%相对标准偏差的优异重复性，彰显其在砷(III)检测中的灵敏度与可靠性。本研究的关键优势在于成功采用市售裸电极——这类电极易于获取且无需改性，充分验证了其在电化学发光砷检测中的有效性。优化后的pH 10缓冲液在提升砷检测选择性方面发挥关键作用：该条件既促进鲁米诺最佳去质子化反应，又确保砷保持溶解态，而其他潜在金属离子干扰物则更易形成固态金属（氢）氧化物。此外，本文研发的传感器还成功应用于海水基质中的砷(III)检测，证明其作为基于电化学发光技术的砷传感器在环境应用中具有可靠且高效的潜力。
哈梅萨·哈梅萨 , 伊斯娜伊妮·拉赫玛瓦蒂 , 安德烈亚·菲奥拉尼 , 永永康昭 , 恩妮·库斯里尼 , 阿安·约翰·瓦尤迪 , 阿塞普·赛富米拉 , 特里比达萨里·A·伊万迪尼 . 基于电化学发光的砷（III）传感器：采用丝网印刷金电极上的鲁米诺[J]. 电化学, 2026 , 32(2) : 2507092 . DOI: 10.61558/2993-074X.3593
Electrochemiluminescence (ECL) of luminol has been studied on a screen-printed gold electrode for a simple and sensitive detection of arsenic ions (As(III)). Cyclic voltammetry (CV) was applied as the proposed technique to study luminol's electrochemical behavior and to evaluate the arsenic’s effect in the ECL system, while hydrogen peroxide (H2O2) served as a co-reactant to enhance luminol’s light emission under alkaline conditions. To achieve optimal electrode performance, key parameters including pH, scan rate, and the concentrations of H2O2 and luminol were carefully optimized. The presence of As(III) induced a quenching effect on the luminol/H2O2 ECL system, leading to a linear decrease in ECL signal across the wide concentration range of 1 nmol·L-1 to 150 µmol·L-1. The system demonstrated a low detection limit of 1.21 nmol·L-1 and exhibited excellent repeatability with a relative standard deviation of 2.27%, highlighting its sensitivity and reliability for As(III) detection. A key advantage of this study was the successful use of commercial bare electrodes, which were readily available and required no modifications, proving their effectiveness for ECL-based arsenic sensing. The optimized buffer solution pH of 10 played a critical role in enhancing arsenic detection selectivity, as it facilitated the optimal deprotonation of luminol and ensured arsenic remained in its dissolved state, whereas other potential metal ion interferences were more likely to form solid metal (hydro)oxides. Furthermore, the developed sensor was successfully applied for As(III) detection in a seawater matrix, demonstrating its potential as a robust and effective ECL-based arsenic sensor for environmental applications.
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