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作 者:孙超[1] 张明杨 丁建军[1] 郭乃宇 叶力 SUN Chao;ZHANG Mingyang;DING Jianjun;GUO Naiyu;YE Li(College of Intelligent Manufacturing,Jianghan University,Wuhan 430056,China)
出 处:《实验室研究与探索》2022年第6期30-34,40,共6页Research and Exploration In Laboratory
基 金:国家自然科学基金项目(61941502);湖北省自然科学基金项目(2019CFB205);湖北省教育厅科学研究计划指导性项目(B2019242);湖北省重点培育学科控制科学与工程资助项目(2020003);江汉大学校级科研基金资助项目(2021yb153)。
摘 要:提出了表面增强拉曼光谱(SERS)敏感基底结构对农药灭幼脲的检测。首先通过理论分析及仿真,采用具有良好增强效果的银离子为基底,单壁碳纳米管为基底的材料支撑物,设计出有规则形状的阵列和3D结构。最后在波数范围100~3200 cm^(-1)进行拉曼光谱检测。结果表明,在灭幼脲浓度范围3 mg/L~5 g/L时,其增强因子约为1.4×10^(5)。该模型的判定系数为0.998,预测均方根误差为0.55 mg/L,表明采用单壁碳纳米管作为检测灭幼脲残留的表面增强拉曼基底能够满足灭幼脲浓度检测精度要求。This study is based on the study of SERS(surface enhanced Raman spectroscopy,SERS)sensitive substrate structure for the detection of pesticide chlorpromazide.Firstly,through theoretical analysis and simulation,this paper uses silver ions with good enhancement effect as the substrate,and single-walled carbon nanotubes as the support of the substrate material,and then designs the regular shape array and 3 D structure.Finally,Raman spectroscopy was carried out in the wave number range of 100-3200 cm^(-1).The results showed that when the concentration range of diflubenzuron was 3 mg/L-5 g/L,the enhancement factor was about 1.4×10^(5).The judgment coefficient of the model is 0.998,and the root mean square error of prediction is 0.55 mg/L.This shows that using single-walled carbon nanotubes as a surface enhanced Raman substrate for the detection of chlorpromazide residues can meet the accuracy requirements of chlorpromazide concentration detection.
关 键 词:碳纳米管结构 表面增强拉曼光谱 灭幼脲 农药检测
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]
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