关于LIBS频谱和分析模型稳定性改进战略的概述:从物理系统到分析方法
Jiujiang Yan1, Jinxiu Ma1, Ke Liu2
1College of Electrical Engineering, Naval University of Engineering, Wuhan, P.R. China.
Critical reviews in analytical chemistry
|January 13, 2025
概括
本研究审查了提高激光诱导分解光谱 (LIBS) 稳定性的方法. 它将解决方案分为预改进策略和以后改进策略,用于更广泛的LIBS应用.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 材料科学 材料科学 材料科学
背景情况:
- 激光诱导分解光谱 (LIBS) 是一种多功能分析技术,用于工业,太空探索,医学和环境监测等多个领域.
- 阻碍更广泛地采用LIBS的一个重大挑战是其固有的不稳定性,影响数据的可靠性和可重复性.
- 解决LIBS稳定性对于推进其实际应用和确保准确的分析结果至关重要.
研究的目的:
- 综合审查和分类现有策略,以提高激光诱导分解光谱 (LIBS) 的稳定性.
- 分析和阐述处理方法,特别是使用等离子体和重建图像特征的处理方法.
- 为未来的研究提供基础框架和参考,重点是改善LIBS稳定性.
主要方法:
- 基于物理机制和分析方法的LIBS稳定性改善解决方案的分类.
- 详细分析预改进策略:系统增强,环境调制和样品预处理.
- 检查后期改进策略:基于等离子体光谱和图像特征的校正方法.
主要成果:
- 解决方案被分为"预改进" (物理机制水平) 和"后改进" (分析方法水平) 的战略.
- 详细介绍了具体方法,包括使用等离子体和重建图像分析的方法.
- 该审查提供了一个结构化的概述,以减轻LIBS不稳定性的方法.
结论:
- 该研究提供了LIBS稳定性改善技术的系统分类,帮助研究人员选择合适的方法.
- 这些发现为开发更强大,更可靠的LIBS系统建立了基本架构和参考.
- 提出了LIBS稳定性增强的未来研究方向和潜在趋势.
更多相关视频
08:53Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
Published on: September 23, 2013
11.3K
08:12Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
Published on: February 16, 2024
8.4K
相关概念视频
Pole and System Stability
245
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
245
Stability
85
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
85
Linear Approximation in Time Domain
60
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
60
BIBO stability of continuous and discrete -time systems
331
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
331
State Space Representation
162
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
162
Stability of Equilibrium Configuration: Problem Solving
574
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
Problem-solving in the context of the stability of equilibrium configuration...
574
