Department of Mechanical and Mechatronics Engineering, Universidad Nacional de Colombia-Sede Bogotá, Bogotá 111321, Colombia.
Control, Data and Artificial Intelligence (CoDAlab), Department of Mathematics, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya (UPC), 08019 Barcelona, Spain.
Sensors (Basel). 2023 Jul 5;23(13):6178. doi: 10.3390/s23136178.
The use of sensors in different applications to improve the monitoring of a process and its variables is required as it enables information to be obtained directly from the process by ensuring its quality. This is now possible because of the advances in the fabrication of sensors and the development of equipment with a high processing capability. These elements enable the development of portable smart systems that can be used directly in the monitoring of the process and the testing of variables, which, in some cases, must evaluated by laboratory tests to ensure high-accuracy measurement results. One of these processes is taste recognition and, in general, the classification of liquids, where electronic tongues have presented some advantages compared with traditional monitoring because of the time reduction for the analysis, the possibility of online monitoring, and the use of strategies of artificial intelligence for the analysis of the data. However, although some methods and strategies have been developed, it is necessary to continue in the development of strategies that enable the results in the analysis of the data from electrochemical sensors to be improved. In this way, this paper explores the application of an electronic tongue system in the classification of liquor beverages, which was directly applied to an alcoholic beverage found in specific regions of Colombia. The system considers the use of eight commercial sensors and a data acquisition system with a machine-learning-based methodology developed for this aim. Results show the advantages of the system and its accuracy in the analysis and classification of this kind of alcoholic beverage.
传感器在不同应用中的使用，以改善对过程及其变量的监测，这是必要的，因为它通过确保过程的质量，使我们能够直接从过程中获取信息。这现在是可能的，因为传感器制造的进步和具有高处理能力的设备的发展。这些元素使便携式智能系统的发展成为可能，可以直接用于过程监测和变量测试，在某些情况下，必须通过实验室测试来确保高精度的测量结果。其中一个过程是味觉识别，一般来说，液体的分类，其中电子舌与传统监测相比具有一些优势，因为分析时间缩短、可以进行在线监测，并且可以使用人工智能策略来分析数据。然而，尽管已经开发了一些方法和策略，但仍有必要继续开发策略，以提高电化学传感器数据分析的结果。为此，本文探讨了电子舌系统在白酒饮料分类中的应用，该系统直接应用于在哥伦比亚特定地区发现的一种酒精饮料。该系统考虑使用八个商业传感器和一个基于机器学习的方法开发的数据采集系统。结果表明了该系统的优势及其在这种酒精饮料分析和分类方面的准确性。
