Tomassetti Mauro, Marini Federico, Pezzilli Riccardo, Castrucci Mauro, Di Natale Corrado, Campanella Luigi
Department of Chemistry, University of Rome, "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.
Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.
Sensors (Basel). 2024 May 18;24(10):3209. doi: 10.3390/s24103209.
Direct catalytic methanol fuel cells (DCMFCs) have been studied for several years for energy conversion. Less extensive is the investigation of their analytical properties. In this paper, we demonstrate that the behavior of both the discharge and charger curves of DCMFCs depends on the chemical composition of the solution injected in the fuel cell. Their discharge and charge curves, analyzed using a chemometric data fusion method named ComDim, enable the identification of various types of aliphatic alcohols diluted in water. The results also show that the identification of alcohols can be obtained from the first portion of the discharge and charge curves. To this end, the curves have been described by a set of features related to the slope and intercept of the initial portion of the curves. The ComDim analysis of this set of features shows that the identification of alcohols can be obtained in a time that is about thirty times shorter than the time taken to achieve steady-state voltage.
直接催化甲醇燃料电池（DCMFCs）用于能量转换的研究已有数年。对其分析特性的研究则相对较少。在本文中，我们证明了DCMFCs的放电曲线和充电曲线的行为取决于注入燃料电池的溶液的化学成分。使用一种名为ComDim的化学计量数据融合方法对其放电曲线和充电曲线进行分析，可以识别出稀释在水中的各种脂肪醇。结果还表明，醇类的识别可以从放电曲线和充电曲线的第一部分获得。为此，通过与曲线初始部分的斜率和截距相关的一组特征来描述这些曲线。对这组特征进行ComDim分析表明，识别醇类所需的时间比达到稳态电压所需的时间短约30倍。
