Central European Institute of Technology (CEITEC), Brno University of Technology, Purkyňova 123, 612 00 Brno, Czech Republic.
Faculty of Mechanical Engineering (FME), Brno University of Technology, Technická 2896, 616 69 Brno, Czech Republic.
Sensors (Basel). 2021 Jan 29;21(3):900. doi: 10.3390/s21030900.
The improving performance of the laser-induced breakdown spectroscopy (LIBS) triggered its utilization in the challenging topic of soft tissue analysis. Alterations of elemental content within soft tissues are commonly assessed and provide further insights in biological research. However, the laser ablation of soft tissues is a complex issue and demands a priori optimization, which is not straightforward in respect to a typical LIBS experiment. Here, we focus on implementing an internal standard into the LIBS elemental analysis of soft tissue samples. We achieve this by extending routine methodology for optimization of soft tissues analysis with a standard spiking method. This step enables a robust optimization procedure of LIBS experimental settings. Considering the implementation of LIBS analysis to the histological routine, we avoid further alterations of the tissue structure. Therefore, we propose a unique methodology of sample preparation, analysis, and subsequent data treatment, which enables the comparison of signal response from heterogenous matrix for different LIBS parameters. Additionally, a brief step-by-step process of optimization to achieve the highest signal-to-noise ratio (SNR) is described. The quality of laser-tissue interaction is investigated on the basis of the zinc signal response, while selected experimental parameters (e.g., defocus, gate delay, laser energy, and ambient atmosphere) are systematically modified.
激光诱导击穿光谱(LIBS)性能的提高促使其在软组织分析这一具有挑战性的课题中得到应用。软组织中元素含量的变化通常会被评估,并为生物研究提供进一步的见解。然而,软组织的激光烧蚀是一个复杂的问题,需要事先进行优化,而这在典型的 LIBS 实验中并不简单。在这里,我们专注于在软组织样品的 LIBS 元素分析中引入内标。我们通过扩展针对软组织分析的标准进样方法来实现这一目标,从而实现了优化程序的标准化。考虑到将 LIBS 分析应用于组织学常规,我们避免了对组织结构的进一步改变。因此,我们提出了一种独特的样品制备、分析和后续数据处理方法,该方法可以比较不同 LIBS 参数下来自异质基质的信号响应。此外,还描述了一个简要的逐步优化过程,以实现最高的信噪比(SNR)。基于锌信号响应来研究激光与组织的相互作用质量,同时系统地修改选定的实验参数(例如,离焦、门延迟、激光能量和环境气氛)。