一种基于五氟丙烷酸功能化UiO-66-NH2的荧光传感器,用于提高双氯兰检测的选择性和灵敏度。

IF 5.3 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Xueqin Sun, Yan Fan, Wenyuan Zhang, Xiaogang Yang, Jiacheng Liu
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引用次数: 0

摘要

采用简单的合成后修饰(PSM)策略制备了五氟丙酸功能化的荧光金属-有机骨架材料(UiO-66-NH2-PFPA),用于灵敏和选择性检测二氯胺(DCN)。荧光实验结果表明,UiO-66-NH2- pfpa(检测限,LOD = 0.478 μM)对DCN的灵敏度比UiO-66-NH2 (LOD = 5.225 μM)高近10.93倍,具有良好的选择性和抗干扰能力。加入DCN后,UiO-66-NH2-PFPA的蓝色荧光明显被猝灭。因此,结合相关实验和密度泛函理论计算,进一步探讨了可能的淬火机理。该传感器应用于水果样品中DCN的检测,回收率为101.1 ~ 107.9%,表明UiO-66-NH2-PFPA有望成为食品中DCN检测的候选材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fluorescent sensor based on pentafluoropropanoic acid–functionalized UiO-66-NH2 for enhanced selectivity and sensitivity of dicloran detection

A pentafluoropropionic acid–functionalized fluorescent metal–organic framework material (UiO-66-NH2-PFPA) is prepared by a simple post-synthetic modification (PSM) strategy for the sensitive and selective detection of dichloran (DCN). The results of fluorescence experiments demonstrate that the sensitivity of UiO-66-NH2-PFPA (limit of detection, LOD = 0.478 μM) to DCN is nearly 10.93 times higher than that of UiO-66-NH2 (LOD = 5.225 μM) and the material has good selectivity and anti-interference ability. After the addition of DCN, the blue fluorescence of UiO-66-NH2-PFPA is obviously quenched. Therefore, the possible quenching mechanism is further discussed in combination with relevant experiments and density functional theory calculations. Moreover, the sensor is applied to the detection of DCN in fruit samples with a satisfactory recovery of 101.1—107.9%, which implies that UiO-66-NH2-PFPA is expected to be a candidate material for the detection of DCN in food.

Graphical abstract

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来源期刊
Microchimica Acta
Microchimica Acta 化学-分析化学
CiteScore
9.80
自引率
5.30%
发文量
410
审稿时长
2.7 months
期刊介绍: As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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