近日，香蕉产业技术体系质量安全与营养品质评价岗位（依托单位：中国热带农业科学院分析测试中心）在有机多孔框架材料的仿生制备及其在农药残留电化学发光传感检测应用中取得重要进展。研究团队首次通过胶束诱导在水溶液中仿生合成一种新型的超细混合价态Ce-MOF纳米线，并将其引入双通道自循环型催化发光机制的鲁米诺电化学发光体系中，该研究可应用于超灵敏农药残留的传感检测。

       研究人员受细胞结构启发，利用阴阳离子胶束体系作为纳米反应隔室，在水相环境中生成稳定的单晶超细Ce-MOF纳米线，进而通过部分氧化策略制备超细混合价态Ce-MOF纳米线。制备的Ce-MOF材料微观尺寸为50 nm左右，具有良好的水稳定性和导电性，解决了MOF材料在水环境中易水解，不易应用于电化学传感中的问题。通过表征手段验证了Ce-MOF材料的价态分布及晶体结构。在此基础上，将纳米线引入鲁米诺过氧化氢发光体系，并提出了一种新的双通道自循环电化学发光（ECL）催化放大机制，最后结合分子印迹技术，开发了基于混合价态超细Ce-MOF的ECL传感器，并用于植物源食品中痕量吡虫啉的检测，该传感器线性范围为2 ~ 120 nM，检出限为0.34 nM。

基于UMV-Ce-MOF纳米线的吡虫啉MIECS的制备

       该研究成果以Biomimetic Synthesis of Ultrafine Mixed-Valence Metal–Organic Framework Nanowires and Their Application in Electrochemiluminescence Sensing为题在线发表于美国化学会一区TOP期刊ACS Applied Materials & Interfaces（IF = 9.229），中国热科院分析测试中心为成果第一完成单位，分析测试中心马雄辉助理研究员、庞朝海助理研究员为共同第一作者，黎舒怀青年研究员、桂林理工大学李建平教授为共同通讯作者。

据悉，近5年来中国热科院分析测试中心传感与光电检测技术研究团队围绕农产品中农兽药残留等有毒有害因子检测技术的难点和重点，聚焦新型纳米传感检测技术，研究了一系列传感检测新理论、新方法和新材料，先后发表中科院JCR二区以上论文16篇，其中一区7篇，影响因子10.0以上3篇，相关研究成果得到了国内外同行的关注，总他引近500次。这标志着香蕉产业技术体系在农产品质量安全快检技术领域的国际影响力日益凸显。研究团队下一步将依托前期研究成果，拓展技术应用研究的联合创新，加快实现相关技术的产业化应用。

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题名：Biomimetic Synthesis of Ultrafine Mixed-Valence Metal–Organic Framework Nanowires and Their Application in Electrochemiluminescence Sensing

• 摘要：Metal–organic frameworks (MOFs) prepared via typical procedures tend to exhibit issues like poor water stability and poor conductivity, which hinder their application in electrochemical sensing. Herein, we report a strategy for the preparation of mixed-valence ultrafine one-dimensional Ce-MOF nanowires based on a micelle-assisted biomimetic route and subsequent investigation into their growth mechanism. The prepared mixed-valence Ce-MOF nanowires exhibited a typical size of ∼50 nm and were found to present good water stability and high conductivity. On this basis, we examined the introduction of these nanowires into the luminol hydrogen peroxide luminescence system and proposed a novel dual-route self-circulating electrochemiluminescence (ECL) catalytic amplification mechanism. Finally, in combination with molecular imprinting, a MOF-based ECL sensor was developed for the detection of trace amounts of imidacloprid in plant-derived foods. This sensor exhibited a linearity of 2–120 nM and a detection limit of 0.34 nM. Thus, we proposed not only a novel route to MOF downsizing but also a facile and robust methodology for the design of a MOF-based molecular imprinting ECL sensor.

• 作者：Xionghui Ma*, Chaohai Pang, Shuhuai Li*, Jianping Li*, Mingyue Wang, Yuhao Xiong, Linjing Su, Jinhui Luo, Zhi Xu, and Liyun Lin

• 全文链接：https://pubs.acs.org/doi/abs/10.1021/acsami.1c10074

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