American Society for Engineering Education, U.S. Naval Research Laboratory, Washington, DC 20375, USA.
U.S. Naval Research Laboratory, 4555 Overlook Avenue SW, Washington, DC 20375, USA.
Sensors (Basel). 2022 Jul 19;22(14):5367. doi: 10.3390/s22145367.
The electrochemical detection of heavy metal ions is reported using an inexpensive portable in-house built potentiostat and epitaxial graphene. Monolayer, hydrogen-intercalated quasi-freestanding bilayer, and multilayer epitaxial graphene were each tested as working electrodes before and after modification with an oxygen plasma etch to introduce oxygen chemical groups to the surface. The graphene samples were characterized using X-ray photoelectron spectroscopy, atomic force microscopy, Raman spectroscopy, and van der Pauw Hall measurements. Dose-response curves in seawater were evaluated with added trace levels of four heavy metal salts (CdCl, CuSO, HgCl, and PbCl), along with detection algorithms based on machine learning and library development for each form of graphene and its oxygen plasma modification. Oxygen plasma-modified, hydrogen-intercalated quasi-freestanding bilayer epitaxial graphene was found to perform best for correctly identifying heavy metals in seawater.
电化学检测重金属离子的研究报告使用了一种廉价的便携式自制电化学工作站和外延石墨烯。在经过氧等离子体刻蚀以在表面引入含氧化学基团对其进行修饰前后,分别测试了单层、氢插层准独立双层和多层外延石墨烯作为工作电极。使用 X 射线光电子能谱、原子力显微镜、拉曼光谱和范德堡霍尔测量对石墨烯样品进行了表征。通过向海水中添加痕量的四种重金属盐(CdCl、CuSO、HgCl 和 PbCl),评估了海水样本中的剂量-反应曲线,并针对每种形式的石墨烯及其氧等离子体修饰开发了基于机器学习的检测算法。研究发现,经过氧等离子体修饰的、氢插层准独立双层外延石墨烯在正确识别海水中的重金属方面表现最佳。