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中国精品科技期刊2020
王晓彬, 曾海龙, 吴瑞梅, 刘木华, 张庐陵, 李俊杰, 陈金印. 基于SERS技术的脐橙果肉中三唑磷农药残留快速检测研究[J]. 食品工业科技, 2015, (10): 83-85. DOI: 10.13386/j.issn1002-0306.2015.10.008
引用本文: 王晓彬, 曾海龙, 吴瑞梅, 刘木华, 张庐陵, 李俊杰, 陈金印. 基于SERS技术的脐橙果肉中三唑磷农药残留快速检测研究[J]. 食品工业科技, 2015, (10): 83-85. DOI: 10.13386/j.issn1002-0306.2015.10.008
WANG Xiao-bin, ZENG Hai-long, WU Rui-mei, LIU Mu-hua, ZHANG Lu-ling, LI Jun-jie, CHEN Jin-yin. Study on rapid detection of triazophos residues in flesh of navel orange by SERS[J]. Science and Technology of Food Industry, 2015, (10): 83-85. DOI: 10.13386/j.issn1002-0306.2015.10.008
Citation: WANG Xiao-bin, ZENG Hai-long, WU Rui-mei, LIU Mu-hua, ZHANG Lu-ling, LI Jun-jie, CHEN Jin-yin. Study on rapid detection of triazophos residues in flesh of navel orange by SERS[J]. Science and Technology of Food Industry, 2015, (10): 83-85. DOI: 10.13386/j.issn1002-0306.2015.10.008

基于SERS技术的脐橙果肉中三唑磷农药残留快速检测研究

Study on rapid detection of triazophos residues in flesh of navel orange by SERS

  • 摘要: 采用表面增强拉曼光谱(SERS)技术结合快速溶剂前处理方法建立脐橙果肉中三唑磷农药的快速检测方法。以脐橙果肉为空白对照,利用快速溶剂前处理方法对脐橙果肉进行提取,对不同浓度的以脐橙果肉提取液为基质的三唑磷溶液进行SERS检测。结果表明,以脐橙果肉提取液为基质的三唑磷溶液最低检测浓度为0.5mg/L;选择乙腈为内标物,以三唑磷1409cm-1特征峰与乙腈2257cm-1特征峰强度比值作为相对强度,其相对强度与三唑磷溶液浓度在0.520mg/L范围内具有良好的线性关系,相关系数(R2)为0.9919;预测误差在0.12mg/L以下,预测回收率为98.1%102.5%,说明模型具有较好的预测效果,本文所建立的方法是准确可靠的。 

     

    Abstract: The rapid detection method of triazophos residues in flesh of navel orange was reported in this paper.Flesh of navel orange was obtained using quick pre-treatment method. SERS of different concentration of triazophos solutions with flesh extract as the matrix were collected by laser Raman spectrometer. The results showed that minimum detection concentration for triazophos in navel orange was 0.5mg/L. Acetonitrile was selected as the internal standard and the relative intensity was made by characteristic peak ( 1409cm-1) of triazophos and characteristic peak (2257cm-1) of acetonitrile. A good linear relationship was found between the relative intensity and concentration of triazophos in the range of 0.520mg/L, with a good correlation coefficient (R2) of 0.9919. The predict recoveries were 98.1%102.5% and the predicted deviations were below 0.12mg/L.This study demonstrates that this method was accurate and reliable.

     

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