徐霞红,郭玉娜,王新全,王祥云,齐沛沛,汪志威.金属有机骨架化合物PCN 222对酶抑制法的增敏研究[J].农业机械学报,2017,48(5):193-198.
XU Xiahong,GUO Yu’na,WANG Xinquan,WANG Xiangyun,QI Peipei,WANG Zhiwei.Porous Metal-organic Frameworks: PCN 222 Sensitization to Ache Inhibition Method[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(5):193-198.
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金属有机骨架化合物PCN 222对酶抑制法的增敏研究   [下载全文]
Porous Metal-organic Frameworks: PCN 222 Sensitization to Ache Inhibition Method   [Download Pdf][in English]
投稿时间:2017-03-26  
DOI:10.6041/j.issn.1000-1298.2017.05.024
中文关键词:  金属有机骨架化合物  多孔配位网络结构222  毒死蜱  酶抑制法  增敏
基金项目:国家自然科学基金项目(31671940)
作者单位
徐霞红 浙江省农业科学院 
郭玉娜 浙江省农业科学院 
王新全 浙江省农业科学院 
王祥云 浙江省农业科学院 
齐沛沛 浙江省农业科学院 
汪志威 浙江省农业科学院 
中文摘要:合成了一种命名为多孔配位网络结构222 (PCN 222)的金属有机骨架化合物(MOFs),并将其用作农药残留检测中酶抑制法的新型增敏剂。对所制备的PCN 222微观形态、结构、X射线衍射(XRD)和热稳定性进行了系统表征。证明该MOFs是一种多孔的棒状结构(棒状结构主轴为六面体),并具有大的表面积和强的热稳定性。基于PCN 222的性能,在有机磷农药快检中添加PCN 222材料,增强了传统酶抑制法的灵敏性。为进一步研究,将毒死蜱选为模型分析物,在最佳条件下,吸光度变化量提高了68.8%(3min内)。此外,该方法具有简单、快速、成本低的优点,为复杂样品基质中有机磷农药的测定提供了一种实用工具。
XU Xiahong  GUO Yu’na  WANG Xinquan  WANG Xiangyun  QI Peipei  WANG Zhiwei
Zhejiang Academy of Agricultural Sciences,Zhejiang Academy of Agricultural Sciences,Zhejiang Academy of Agricultural Sciences,Zhejiang Academy of Agricultural Sciences,Zhejiang Academy of Agricultural Sciences and Zhejiang Academy of Agricultural Sciences
Key Words:metal-organic frameworks  porous coordination network 222  chlorpyrifos  AChE-inhibited method  sensitization
Abstract:Food safety issues caused by pesticide residues become the spotlight of public concerns all over the world. Metal-organic frameworks: porous coordination network 222 (MOFs:PCN 222) were synthesized and investigated as a novel sensitizer for AChE-inhibited method. TCPP (Tetrakis (4-carboxyphenyl)porphyrin) was employed as a ligand and highly stable Zr6 clusters were chosen as nodes for the assembly of stable Zr-MOFs. With carefully selected starting materials, a 3D porous MOFs was successfully constructed. Some properties of the prepared PCN 222, including structure, morphology X-ray diffraction (XRD) and thermostability were studied systematically. Porous virgate structure (spindle hexahedron), large surface area and strong thermostability were obtained for the MOFs. Based on the PCN 222, a sensitive AChE-inhibited method was developed. As a proof of concept, chlorpyrifos was used as a model analyte. Under the optimal conditions, absorbance increasing efficiency was increased by 68.8% (in 3min), which substantially improved the sensitivity of the colorimetric method compared with traditional ache inhibition method. The results revealed that the sensitization range obtained for chlorpyrifosis was approximately 0.01~10μg/mL. Furthermore, the biosensor was successfully applied to the quantitative assay of chlorpyrifos in synthetic sample (vegetable matrix). In addition, the method possessed the advantages of simplicity, rapidity and cost-effective. Hence, the developed sensitized AChE-inhibited method might provide a useful and practical tool for organophosphorus pesticide determination and related food safety analysis.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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