Hassani Fatemeh, Larki Arash, Ghomi Matineh, Pourreza Nahid
Department of Marine Chemistry, Faculty of Marine Science, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.
Department of Marine Chemistry, Faculty of Marine Science, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Dec 5;302:123104. doi: 10.1016/j.saa.2023.123104. Epub 2023 Jul 5.
In this article, a new off-mode fluorescent platform based on the metal-organic framework (MOF) is introduced as a highly selective and rapid chemical sensor for the detection of As(III) in water and wastewater samples. A typical Fe-BTC (BTC = 1,3,5-benzenetricarboxylate or trimesic acid) MOF was used as a porous template for loading gold nanoparticles (AuNPs@Fe-BTC MOF). The physicochemical properties of AuNPs@Fe-BTC MOF were characterized by Fourier-transform infrared spectroscopy (FT-IR), Field emission scanning electron microscopy (FESEM), Energy-dispersive X-ray spectroscopy (EAX), element mapping (MAP) and X-ray diffraction (XRD) analysis. This sensing method for As(III) ions is based on the fact that the fluorescence intensity of AuNPs@Fe-BTC MOF sensor decreases in proportion to the increase in As(III) concentration. The main effective factors on the performance of the sensor signal such as MOF dosage, sonication time, pH and reaction time were optimized. Under optimized conditions, the calibration graph was linear in the concentration range of 0.5-380 ng mL of As(III) and the limit of detection was 0.2 ng mL. The proposed method was successfully validated by addition/recovery experiments by the determination of As(III) in four river water and two wastewater effluent samples.
在本文中，介绍了一种基于金属有机框架（MOF）的新型关闭模式荧光平台，作为一种用于检测水和废水样品中As(III)的高选择性快速化学传感器。一种典型的Fe-BTC（BTC = 1,3,5-苯三甲酸或均苯三甲酸）MOF被用作负载金纳米颗粒（AuNPs@Fe-BTC MOF）的多孔模板。通过傅里叶变换红外光谱（FT-IR）、场发射扫描电子显微镜（FESEM）、能量色散X射线光谱（EAX）、元素映射（MAP）和X射线衍射（XRD）分析对AuNPs@Fe-BTC MOF的物理化学性质进行了表征。这种检测As(III)离子的传感方法基于AuNPs@Fe-BTC MOF传感器的荧光强度随As(III)浓度增加而降低的事实。对影响传感器信号性能的主要因素，如MOF用量、超声处理时间、pH值和反应时间进行了优化。在优化条件下，校准曲线在0.5 - 380 ng/mL的As(III)浓度范围内呈线性，检测限为0.2 ng/mL。通过对四个河水和两个废水排放样品中的As(III)进行加标回收实验，成功验证了所提出的方法。
