摘要
植物中的重金属离子以一定形式与具有近红外吸收的有机分子基团结合,因此可以借助近红外光谱技术间接检测其重金属离子含量。研究了基于近红外漫反射光谱技术快速检测丁香蓼叶片中重金属铜含量的方法。通过不同光谱数据预处理方法的对比,结合偏最小二乘法,建立了丁香蓼叶内重金属铜含量近红外光谱检测定量模型。实验结果为,经过平滑处理的光谱建模效果较理想,其建立的校正相关系数为0.950,校正均方根误差为5.99;外部验证相关系数为0.923,预测均方根误差为7.38。研究表明,近红外漫反射光谱技术用于丁香蓼叶片中重金属铜含量的快速检测具有可行性。
Heavy metal ions in plants can be determined by using the near-infrared spectral (NIRS) technique, because they com- bine with the organic molecular groups that have NIRS absorptions. The present article analyzed the fast detection of heavy metal Cu in Ludwigia prostrata leaves by near infrared diffuse spectral technology. Different preprocessing methods were compared, combined with partial least squares (PLS), and the fast detection models of heavy metal Cu in Ludwigia prostrata leaves were es- tablished. The results showed that the best model was obtained by PLS with the preprocessing method of average smoothing. The correlation coefficient (r) and root mean square error of calibration(RMSECV) was 0. 950 and 5. 99 respectively; External validation correlation coefficient (r) and root mean square error of prediction(RMSEP) was 0. 923 and 7.38 respectively. The study shows that fast determination of heavy metal Cu in Ludwigia prostrata leaves using near infrared diffuse spectroscopy is feasible.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2012年第12期3220-3224,共5页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(61178036)
江西省学主要学科学术和技术带头人培养对象计划项目(2009DD00700)
赣鄱英才555工程领军人才培养计划项目
关键词
近红外光谱
丁香蓼
重金属
偏最小二乘法
定量检测
Near infrared spectra
Ludwigia prostrata
Heavy metal
PLS
Quantitative detection