Room-temperature phosphorescence sensor array for the detection and discrimination of neonicotinoid insecticides based on a host–guest doping strategy†

IF 3.3 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Analyst Pub Date : 2025-07-07 DOI:10.1039/D5AN00521C
Caicai Liu, Ran Li, Peng Yun, Fuzun Chen, Yu-e Shi, Xiaobo Zhu and Zhenguang Wang
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引用次数: 0

Abstract

Detection and discrimination of neonicotinoid insecticides (NNIs) are highly desired, but they are still challenging tasks owing to the minor differences in the molecular structures among the massive subtypes of NNIs. In this work, a room-temperature phosphorescence (RTP) sensor array for the detection and discrimination of NNIs was fabricated via a host–guest doping strategy. NNIs were doped into a boric acid host, which enhanced its RTP intensities by inhibiting the molecular motion, narrowing the energy gap between the singlet and triplet states, and providing rigid protection structures. A sensor array was fabricated by integrating the RTP intensities and emission lifetimes. Five types of NNIs were quantitatively detected and discriminated using statistical algorithms. Aided by the delayed collection model of the RTP signal, the sensor array showed excellent detection performance in real food samples. These results open a new door for designing various detection routes for applications in food analysis.

Abstract Image

基于主客体掺杂的新烟碱类杀虫剂室温磷光传感器阵列检测与鉴别研究
由于大量新烟碱类杀虫剂的分子结构差异不大,因此对其进行检测和鉴别是一项非常有挑战性的任务。在这项工作中,利用主客体掺杂策略制作了用于检测和识别NNI的室温磷光(RTP)传感器阵列。将NNI掺杂到硼酸宿主中,通过抑制分子运动,缩小单线态和三重态之间的能隙,提供刚性保护结构,提高了它们的RTP强度。通过对RTP强度和发射寿命的积分,制作了传感器阵列,利用统计算法对5种NNI进行了定量检测和区分。借助RTP信号的延迟采集模型,该传感器阵列在实际食品样品中也显示出优异的检测性能。这些结果为设计检测路线打开了新的大门,在食品分析中显示出巨大的应用潜力。
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来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
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