Department of Chemistry and Biochemistry, Norwich University, Northfield, Vermont, United States of America.
Department of Computer Science, Colorado State University, Fort Collins, Colorado, United States of America.
PLoS One. 2024 Sep 17;19(9):e0308516. doi: 10.1371/journal.pone.0308516. eCollection 2024.
Uranium (U) is a radiologically and chemically toxic element that occurs naturally in water, soil, and rock at generally low levels. However, anthropogenic uranium can also leach into groundwater sources due to mining, ore refining, and improper nuclear waste management. Over the last few decades, various methods for measuring uranium have emerged; however, most of these techniques require skilled scientists to run samples on expensive instrumentation for detection or require the pretreatment of samples in complex procedures. In this work, a Schiff base ligand (P1) is used to develop a simple spectrophotometric method for measuring the concentration of uranium (VI) with an accurate and affordable light-emitting diode (LED) spectrophotometer. A test for a higher-order polynomial relationship was used to objectively determine the calibration data's linearity. This test was done with a Python program on a Raspberry Pi computer that captured the spectrophotometer's calibration and sample measurement data.
铀(U)是一种放射性和化学毒性元素,在水、土壤和岩石中通常以低水平自然存在。然而,由于采矿、矿石精炼和不当的核废料管理,人为产生的铀也可能浸出到地下水水源中。在过去的几十年中,已经出现了各种测量铀的方法;然而,这些技术中的大多数都需要熟练的科学家在昂贵的仪器上运行样本进行检测,或者需要对样本进行复杂的预处理程序。在这项工作中,使用席夫碱配体(P1)来开发一种简单的分光光度法,使用价格实惠的发光二极管(LED)分光光度计来测量铀(VI)的浓度。使用更高阶多项式关系的测试来客观地确定校准数据的线性。该测试是在 Raspberry Pi 计算机上的 Python 程序上完成的,该程序捕获了分光光度计的校准和样品测量数据。