中文摘要：

基于激光诱导击穿光谱（LIBS）技术对赣南脐橙中Cd元素进行定量分析．利用LIBS获取样品中Cd元素的特征谱线信息，并结合原子吸收分光光度计测量样品中Cd元素的真实含量．采用五点平滑法和中心化法对样品光谱数据进行预处理，基于偏最小二乘法（PLS）对其中的39个样品建立Cd元素的定量分析模型，在该模型的基础上预测另外13个样品的Cd含量，并对PLS模型进行对比验证．PLS模型中拟合曲线的相关系数为0．9806，12个样品的验证结果的相对误差为10．94％．研究结果表明，激光诱导击穿光谱技术能够准确的检测农产品中重金属含量，为农产品的安全检测提供技术方法．

英文摘要：

The navel orange is analysed quantitatively for cadmium by laser-induced breakdown spectroscopy. The laser-induced breakdown spectroscopy is used to obtain the characteristic spectrum of Cd in sample. The concentration of sample is detected as a reference concentration by atomic absorption spectrophotometer. The partial least squares method is applied to the data of 39 samples which are preprocessed by combining the five smoothing formula and centerization method to establish quantitative analysis of cadmium model. Other 13 samples are used to be compared with the results from the quantitative analysis model. In this model, the correlation coefficient of fitting curve is 0.9806 and the relative error of 12 samples is 10.94 percent. The research results show that laser-induced breakdown spectroscopy can nondestructively and accurately detect heavy metals in agricultural products without preparing any sample and provides a technology for the safety of agricultural products.