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相关概念视频

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

322
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
322
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

352
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
352
Quantitative Analysis01:12

Quantitative Analysis

271
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
271
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

449
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
449
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.3K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.3K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

109
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
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相关实验视频

Updated: Jun 19, 2025

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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通过交叉仪器分散贝叶斯学习 (CI-SBL) 改进定量分析 拉曼光谱分析算法

Jinglei Zhai1, Zilong Wang2, Xin Chen2

  • 1School of Electrical and Information Engineering, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.

Analytical chemistry
|July 26, 2024
PubMed
概括
此摘要是机器生成的。

一个新的算法,交叉仪器分散贝叶斯学习 (CI-SBL),改进了拉曼光谱分析. 它提高了识别成分和预测混合物中的度的准确性,即使在不同的仪器上.

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科学领域:

  • 分析化学 分析化学
  • 频谱学是一种光谱学.
  • 化学测量 化学测量 化学测量

背景情况:

  • 拉曼光谱是分子振动分析的关键非破坏性技术.
  • 现有的算法在与仪器间定量分析,预测准确度低,稳定性差等方面扎.
  • 局限性阻碍了拉曼光谱在各种分析环境中的可靠应用.

研究的目的:

  • 开发一个先进的拉曼光谱分析算法,解决当前的局限性.
  • 提高仪器之间的兼容性,提高定性和定量分析的准确性.
  • 为强大的光谱分析引入交叉仪器分散贝叶斯学习 (CI-SBL) 算法.

主要方法:

  • 设计了交叉仪器分散贝叶斯学习 (CI-SBL) 算法.
  • 集成了一个交叉仪器模块,以协调来自不同光谱仪的数据.
  • 在混合物中使用稀疏贝叶斯学习 (SBL) 进行代成分识别.

主要成果:

  • CI-SBL在转换的便携式和科学仪器数据之间实现了98.6%的光谱相似性.
  • 对大多数混合物来说,定性分析的准确性达到100%,显著超过以前的方法 (<80%).
  • 对于混合物中的成分度,定量分析给出了不到3% (大多为~1%) 的误差.

结论:

  • CI-SBL 显著提高了拉曼光谱中的定性和定量分析的准确性.
  • 交叉仪表模块使不同测量设备的无数据分析成为可能.
  • 该算法为使用拉曼光谱学进行复杂混合物分析提供了强大而灵活的解决方案.