Fe-N共掺杂碳量子点作为高活性类过氧化物酶用于绿原酸比色检测
张敏 , 张文皓 , 李光英 , 王丽敏 , 单桂晔
高等学校化学学报 ›› 2026, Vol. 47 ›› Issue (02) : 27 -35.
Fe-N共掺杂碳量子点作为高活性类过氧化物酶用于绿原酸比色检测
Fe-N co-Doped Carbon Quantum Dots as Highly Active Peroxidase Mimics for Colorimetric Detection of Chlorogenic Acid
以L-组氨酸和七水合硫酸亚铁为前驱体, 通过一步水热法合成了具有类过氧化物酶活性的铁、 氮共掺杂碳量子点(Fe-N-CDs). Fe的掺杂为CDs引入了丰富的活性位点, 增强了CDs的电子转移能力与催化效率. Fe-N-CDs能有效催化过氧化氢(H2O2)分解产生羟基自由基(·OH), 进而氧化3,3',5,5'-四甲基联苯胺(TMB)生成在652 nm处有特征吸收的蓝色产物(oxTMB). 绿原酸(CGA)作为一种天然多酚类化合物, 广泛存在于植物中, 具有良好的抗氧化性能及抗抑郁作用. 本文利用CGA可还原oxTMB使其褪色的性质, 建立了吸光度变化值与CGA含量间的定量关系, 从而构建了一种用于检测CGA的比色传感平台. 实验结果表明, 该方法具有良好的选择性、 抗干扰能力与快速响应特性, 可用于药物及食品中抗氧化成分的比色分析, 为相关产品的质量评估与抗抑郁药物开发提供了新的分析手段.
Fe-N-CDs nanopaticles were successfully prepared by one-step hydrothermal method using L-histidine and Fersulfate heptahydrate(FeSO₄·7H2O) as precursors. The introduction of Fe atoms produced more active sites on the surface of carbon dots, promoted the electron transfer in the catalytic process, and thus improved the catalytic efficiency of the material. The Fe-N-CDs nanopaticles effectively catalyzed the decomposition of hydrogen peroxide (H2O2) to generate hydroxyl radicals(•OH), which subsequently oxidized 3,3',5,5'-tetramethylbenzidine(TMB) to form a blue oxidation product(oxTMB) with a characteristic absorption peak at 652 nm. Curcumin, a natural polyphenolic compound widely found in plants, exhibits excellent antioxidant properties and antidepressant effects. Leveraging the ability of curcumin to reduce oxTMB and cause its color to fade, a quantitative relationship between the change in absorbance and the curcumin content was established. This enabled the development of a colorimetric sensing method for the detection of curcumin. The experimental results demonstrated that this method possesses good selectivity, anti-interference capability and rapid response characteristics. It can be applied for the colorimetric analysis of antioxidant components in pharmaceuticals and food products, offering a new analytical approach for quality assessment of related products and the development of antidepressant drugs.
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国家自然科学基金(1257041767)
吉林省自然科学基金(20200201582JC)
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