分析化学2024，Vol.52Issue(4)：559-565,7.DOI:10.19756/j.issn.0253-3820.231429
激光诱导击穿光谱定量分析全血中的锂元素
Quantitative Analysis of Lithium Element in Whole Blood Using Laser-induced Breakdown Spectroscopy
摘要
Abstract
Lithium(Li)salts are commonly used as psychotropic medications for the treatment of major depressive disorders.However,long-term use of Li salts poses a high risk of toxicity,necessitating continuous monitoring of Li concentration in patient blood to ensure medication safety,which is crucial for clinical treatment.Laser-induced breakdown spectroscopy(LIBS),as a rapid analytical technique,has been widely applied in the elemental analysis of complex matrices in various practical scenarios.In this study,LIBS technology combined with partial least squares(PLS)was employed for quantitative analysis of Li elements in blood matrix.A total of 45 clinical blood samples were utilized,and the quantitative models for plasma and whole blood matrices were separately investigated.The number of latent variables in the PLS algorithm was optimized using a five-fold cross-validation method.Results revealed that the PLS quantitative model constructed on the basis of plasma matrix achieved a predictive determination coefficient(R2)of 0.992,a predictive root mean square error(RMSEP)of 0.204 μg/mL,and a relative standard error(RSD)of 2.14%.In contrast,for the PLS quantitative model constructed on the basis of whole blood matrix,the R2 was 0.984,the RMSEP was 0.728 μg/mL,and the RSD was 3.45%Consequently,the LIBS model constructed on the basis of plasma calibration values demonstrated superior performance in quantitative analysis of Li element in whole blood,and LIBS technology provided a new possibility for rapid assessment of blood Li levels in clinical practice,with promising prospects for application.关键词
激光诱导击穿光谱/血液/锂元素/定量分析/偏最小二乘法Key words
Laser-induced breakdown spectroscopy/Blood/Lithium element/Quantitative analysis/Partial least squares引用本文复制引用
任文心,杨亮,赵韩,王奕朦,黄达,戴鑫华,林庆宇,段忆翔..激光诱导击穿光谱定量分析全血中的锂元素[J].分析化学,2024,52(4):559-565,7.基金项目
四川省科技厅重点研发项目(No.2023YFSY0044)资助. Supported by the Key R&D Project of Sichuan Provincial Department of Science and Technology(No.2023YFSY0044). （No.2023YFSY0044）
