Institute of Chemistry, Mendeleev Center, St. Petersburg State University, Universitetskaya nab. 7/9, St Petersburg 199034, Russia.
Laboratory of Artificial Sensory Systems, ITMO University, Kronversky pr. 49, St Petersburg 197101, Russia.
Sensors (Basel). 2021 Jun 29;21(13):4471. doi: 10.3390/s21134471.
We report on the development of a simple and cost-effective potentiometric sensor array that is based on manual "drawing" on the polymeric support with the pencils composed of graphite and different types of zeolites. The sensor array demonstrates distinct sensitivity towards a variety of inorganic ions in aqueous media. This multisensor system has been successfully applied to quantitative analysis of 100 real-life surface waters sampled in Mahananda and Hooghly rivers in the West Bengal state (India). Partial least squares regression has been utilized to relate responses of the sensors to the values of different water quality parameters. It has been found that the developed sensor array, or electronic tongue, is capable of quantifying total hardness, total alkalinity, and calcium content in the samples, with the mean relative errors below 18%.
我们报告了一种简单且经济高效的电位传感器阵列的开发,该传感器阵列基于用石墨和不同类型沸石制成的铅笔在聚合物基底上进行手动“绘图”。该传感器阵列对水介质中的各种无机离子表现出明显的敏感性。该多传感器系统已成功应用于定量分析从印度西孟加拉邦的马汉达纳和胡格利河中采集的 100 个实际地表水样本。偏最小二乘回归已被用于将传感器的响应与不同水质参数的值联系起来。研究发现,所开发的传感器阵列或电子舌能够定量分析样品中的总硬度、总碱度和钙含量,平均相对误差低于 18%。