Journal of Analytical Chemistry ( IF 1.0 ) Pub Date : 2022-11-12 , DOI: 10.1134/s1061934822110041 Shahnaz Davoudi , Farzaneh Marahel
Abstract
Fluorescent chemical sensors have been proposed to detect drugs by increasing or shutting down the fluorescence emission and absorption. These sensors have been used because they are non-destructive, able to show concentrations, have fast response time and high accuracy. In this research, a chemical sensor based on PbS functionalized with gelatin quantum dots was utilized for sulfacetamide detection. The calibration curve was linear in the range of 0.02 to 10 µg/L. The standard deviation was less than 2.0%, and the method detection limit (3s/m) was 0.022 nM; the response for PbS quantum dot–gelatin nanocomposite sensor was obtained in 50 s at 330 nm at a 95% confidence level. The artificial neural network model was used as a tool for determining the mean square error (MSE of 0.031) for sulfacetamide by PbS quantum dot–gelatin nanocomposite sensor. The observed outcomes confirmed suitable recovery and very low detection limit for sulfacetamide determination. The fluorometric method was applied to quantify sulfacetamide in real samples such as urine and blood and could be used for other drugs and hospital samples. The chemical PbS quantum dot–gelatin nanocomposite sensor is an excellent sensor with good reproducibility.
中文翻译:
使用 PBS 量子点传感器和人工神经网络测定血液和尿液中的磺胺嘧啶
摘要
已经提出荧光化学传感器通过增加或关闭荧光发射和吸收来检测药物。这些传感器已被使用,因为它们是非破坏性的,能够显示浓度,具有快速响应时间和高精度。在这项研究中,基于用明胶量子点功能化的 PbS 的化学传感器被用于磺胺乙酰胺的检测。校准曲线在 0.02 至 10 µg/L 范围内呈线性。标准偏差小于2.0%,方法检出限(3 s / m) 为 0.022 nM;PbS 量子点-明胶纳米复合传感器的响应在 50 秒内在 330 nm 处以 95% 的置信水平获得。人工神经网络模型被用作通过 PbS 量子点-明胶纳米复合传感器确定磺胺醋酰胺均方误差(MSE 为 0.031)的工具。观察到的结果证实了磺胺醋酰胺测定的合适回收率和非常低的检测限。荧光法用于定量尿液和血液等真实样本中的磺胺醋胺,可用于其他药物和医院样本。化学 PbS 量子点-明胶纳米复合传感器是一种具有良好重现性的优秀传感器。