Department of Physics and Chemistry, Research and Innovation Center of Sensor Technologies, Ural State University of Economics, 8 Marta St., 62, 620144 Yekaterinburg, Russia.
Department of Analytical Chemistry, Ural Federal University, Mira St. 19, 620002 Yekaterinburg, Russia.
Sensors (Basel). 2020 Mar 24;20(6):1800. doi: 10.3390/s20061800.
An original voltammetric sensor (Au-gr/CVE) based on a carbon veil (CV) and phytosynthesized gold nanoparticles (Au-gr) was developed for ascorbic acid (AA) determination. Extract from strawberry leaves was used as source of antioxidants (reducers) for Au-gr phytosynthesis. The sensor was characterized by scanning electron microscopy, energy-dispersive X-ray spectroscopy and electrochemical methods. Optimal parameters of AA determination were chosen. The sensor exhibits a linear response to AA in a wide concentration range (1 μM-5.75 mM) and a limit of detection of 0.05 μM. The developed sensor demonstrated a high intra-day repeatability of 1 μM AA response (RSD = 1.4%) and its stability during six weeks, selectivity of AA determination toward glucose, sucrose, fructose, citric, tartaric and malic acids. The proposed sensor based on Au-gr provides a higher sensitivity and a lower limit of AA detection in comparison with the sensor based on gold nanoparticles synthesized by the Turkevich method. The sensor was successfully applied for the determination of AA content in fruit juices without samples preparation. The recovery of 99%-111% and RSD no more than 6.8% confirm the good reproducibility of the juice analysis results. A good agreement with the potentiometric titration data was obtained. A correlation (r = 0.9867) between the results of AA determination obtained on the developed sensor and integral antioxidant activity of fruit juices was observed.
一种基于碳毡 (CV) 和植物合成金纳米粒子 (Au-gr) 的新型伏安传感器 (Au-gr/CVE) 被开发用于测定抗坏血酸 (AA)。草莓叶提取物被用作 Au-gr 植物合成的抗氧化剂 (还原剂) 的来源。该传感器采用扫描电子显微镜、能谱和电化学方法进行了表征。选择了 AA 测定的最佳参数。该传感器在宽浓度范围内 (1 μM-5.75 mM) 对 AA 表现出线性响应,检测限为 0.05 μM。开发的传感器对 1 μM AA 响应具有较高的日内重复性 (RSD = 1.4%) 和六周的稳定性,对葡萄糖、蔗糖、果糖、柠檬酸、酒石酸和苹果酸具有 AA 测定的选择性。与基于 Turkevich 方法合成的金纳米粒子的传感器相比,基于 Au-gr 的传感器提供了更高的灵敏度和更低的 AA 检测下限。该传感器成功应用于果汁中 AA 含量的测定,无需样品制备。回收率为 99%-111%,RSD 不超过 6.8%,证实了果汁分析结果的良好重现性。与电位滴定数据吻合较好。在开发的传感器上测定 AA 结果与果汁的积分抗氧化活性之间存在相关性 (r = 0.9867)。