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作 者:黎文兵[1] 刘木华[1] 黄林[1] 陈添兵[1] 何秀文[1] 欧阳静怡[1] 姚明印[1]
机构地区:[1]江西农业大学生物光电及应用重点实验室,江西南昌330045
出 处:《激光与光电子学进展》2014年第9期220-225,共6页Laser & Optoelectronics Progress
基 金:国家自然科学基金(31271612);江西省教育厅科技计划(GJJ12249);江西省学术带头人计划(09004004);江西省研究生创新基金(YC2013-S116)
摘 要:果蔬重金属污染日趋严重,急需发展一种绿色快速无损检测技术。激光诱导击穿光谱(LIBS)是一种新兴的快速检测技术,为了验证LIBS检测蔬菜中重金属含量的可行性,以新鲜蕹菜为样品,应用共轴双脉冲LIBS对比分析了有无Pb污染的蕹菜菜叶的特征光谱。实验选取铅405.78nm处的特征谱线作为分析谱线,对7个样品的发射光谱进行研究,并得到了铅元素真实浓度与其LIBS强度拟合曲线,相关系数为0.9857。定标模型浓度预测的相对误差在0.928%~15.05%之间,平均为8.31%,而高浓度污染的测量相对误差均低于3%。试验结果表明,LIBS用于定量分析蕹菜中重金属元素含量是可行的。There is an urgent need to develop a rapid on-site green detection technology for the growing heavy metal pollution of fruit and vegetables. Laser inducedbreakdown spectroscopy (LIBS) is an emerging technology in detecting material composition. In order to verify the feasibility of the detection of heavy metals in leafy vegetables by LIBS this article discusses the application of LIBS to quantitativly analyze trace elements theoretically. With fresh ipomoea aquatica as the sample, the spectra with and without Pb pollution are analyzed using coaxial double pulse LIBS device. Pb 405.78 nm is selected as the spectral line of Pb, seven samples emission spectra are detected, and fitting curve is obtained, the correlation coefficient is 0.9857. Relative error of predicted concentration from calibration model is between 0.928%-15.05%, with an average of 8.31%, and when in high pollution level it is less than 3%. The test results show that, the feasibility of LIBS detecting heavy metal elements in ipomoea aquatica is proved.
关 键 词:光谱学 激光诱导击穿光谱 重金属 蕹菜 定量分析
分 类 号:TN249[电子电信—物理电子学]
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