Otal Eugenio H, Kim Manuela Leticia, Dietrich Steffen, Takada Ryogo, Nakaya Shinji, Kimura Mutsumi
Department of Chemistry and Materials, Faculty of Textile Science and Technology, Shinshu University, Ueda 386-8567, Japan.
Unidad de Investigación y Desarrollo de las Ingenierías (UIDI), CONICET, FRBA-UTN, Medrano 951, C1179AAQ Buenos Aires, Argentina.
ACS Sens. 2021 Jan 22;6(1):259-266. doi: 10.1021/acssensors.0c02273. Epub 2021 Jan 8.
The prolonged exposure to fluorides results in the development of several diseases, from dental fluorosis to crippling deformities of the spine and major joints. The population exposed to high fluoride concentration is located in developing countries where the assurance of water quality is difficult to perform. Addressing this challenge, an open-source system for the determination of fluoride in natural water was developed using the equilibrium between the red Fe-SCN complex and the colorless Fe-F. The reaction develops in cotton substrates to reduce the manipulation of liquid reagents and reduce the errors by nontrained operators. The system was optimized by image analysis and implemented in an open-source Arduino-based device and data was acquired through the serial port of a cell phone, which is also used as a power source, avoiding the use of a battery and reducing production costs. The device showed a detection limit of 0.7 mg L and a linear range of up to 8 mg L. This extended detection limit makes the device useful for the application in regions where the fluoride concentration in drinking water is far higher than the United Nations limit (1.5 mg L), e.g., the United Republic of Tanzania, where the upper limit of F was extended to 4 mg L or in USA, where the Environmental Protection Agency established the Maximum Contaminant Level of F in drinking water at 4 mg L. The method was tested with natural waters from the Arusha region in the northeast of Tanzania and validated against the results from ion chromatography showing a good correlation. The developed device exhibits chemical stability of 5 days, allowing it to be manufactured and distributed in local areas and, also, modified according to the requirements of the water composition due to Industry 4.0 concepts used in the design.
长期接触氟化物会引发多种疾病,从氟斑牙到脊柱和主要关节的严重畸形。接触高氟浓度的人群主要分布在发展中国家,这些国家难以确保水质。为应对这一挑战,利用红色铁硫氰络合物与无色铁氟络合物之间的平衡,开发了一种用于测定天然水中氟化物的开源系统。该反应在棉质底物上进行,以减少液体试剂的操作,并减少未经培训的操作人员产生的误差。通过图像分析对该系统进行了优化,并在基于开源Arduino的设备中实现,数据通过手机的串口获取,手机还用作电源,避免了使用电池并降低了生产成本。该设备的检测限为0.7 mg/L,线性范围高达8 mg/L。这种扩展的检测限使得该设备适用于饮用水中氟化物浓度远高于联合国限值(1.5 mg/L)的地区,例如坦桑尼亚联合共和国,其氟化物上限提高到了4 mg/L,或者在美国,环境保护局将饮用水中氟化物的最大污染物水平设定为4 mg/L。该方法用坦桑尼亚东北部阿鲁沙地区的天然水进行了测试,并与离子色谱法的结果进行了验证,显示出良好的相关性。所开发的设备具有5天的化学稳定性,使其能够在当地制造和分发,并且由于设计中采用了工业4.0概念,还可以根据水成分的要求进行修改。