张 旭,祝守新,车 磊,姚明印.激光诱导击穿光谱快速定量检测橘子中 铅含量的初步研究[J].食品安全质量检测学报,2015,6(8):3002-3006
激光诱导击穿光谱快速定量检测橘子中 铅含量的初步研究
Preliminary study on rapidly quantitative detection of lead in orange by la-ser-induced breakdown spectroscopy
投稿时间:2015-07-07  修订日期:2015-08-14
DOI:
中文关键词:  激光诱导击穿光谱  定量检测  橘子  铅元素
英文关键词:laser induced breakdown spectroscopy  quantitative detection  orange  lead
基金项目:国家自然科学基金项目(31460419)、湖州市重点科技创新团队(2012KC04)和湖州师范学院校科研基金项目(2014XJKY45)
作者单位
张 旭 湖州师范学院工学院 
祝守新 湖州师范学院工学院 
车 磊 湖州师范学院工学院 
姚明印 江西农业大学生物光电与应用重点实验室 
AuthorInstitution
ZHANG Xu School of Engineering, Huzhou University 
ZHU Shou-Xin School of Engineering, Huzhou University 
CHE Lei School of Engineering, Huzhou University 
YAO Ming-Yin Optics-Electronics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University 
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中文摘要:
      目的 利用激光诱导击穿光谱技术对橘子中铅含量进行快速定量检测。方法 将普通的橘子样品进行铅溶液污染处理, 利用原子吸收法测定样品中铅元素含量作为参考浓度, 通过分析橘子中铅元素的激光诱导击穿光谱特征谱线, 结合NIST标准数据库, 得出铅元素的激光诱导击穿光谱显著的波长为363.958 nm、368.348 nm、405.783 nm, 并确定以405.783 nm作为定量分析铅元素特征波长的方法。结果 分析实验中的不同浓度样品的光谱信息, 拟合得到铅元素的LIBS特征谱线强度和铅元素浓度的定量分析曲线, 其中拟合曲线的相关系数为0.98195, 分析定标模型得出该模型不适用于浓度小于10 μg/g样品, 根据检出限公式得到检测限(D.L)的值为12.98 μg/g。结论 研究结果表明该激光技术在农产品重金属检测以各种样品中的元素含量检测方面具有很大的前景。
英文摘要:
      Objective To detect lead in orange rapidly using laser induced breakdown spectroscopy. Methods Ordinary oranges were polluted by lead solution. The concentration of lead detected by the method of atomic absorption in the samples was set as a reference concentration. Through the analysis of the laser induced breakdown spectroscopy of lead in the characteristic spectrum and combined with the NIST standard database, the characteristic spectrum wavelengths of lead were 363.958, 368.348, 405.783 nm. Then the 405.783 nm was determined as analysis wavelength. Results By analyzing the information of samples with different concentrations, the laser induced breakdown spectroscopy characteristic spectral line intensity and the concentrations of lead were achieved. The correlation coefficient of fitting curve was 0.98195. It showed that this model didn’t apply to the samples which concentrations less than 10 μg/g. Based on the formula of detection limit, D.L was 12.98 μg/g. Conclusion This study showed that this laser technology had great prospects in the detecting heavy metals in agricultural products and other samples.
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