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相关概念视频

Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

369
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
369
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

530
Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
530
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

421
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
421
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

751
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
751
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

553
The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte...
553
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

768
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
768

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Aerosol-assisted Chemical Vapor Deposition of Metal Oxide Structures: Zinc Oxide Rods
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基于金属氧化物的气体传感器阵列用于复杂混合物的VOCs测定,使用机器学习.

Shivam Singh1, Sajana S1, Poornima Varma2

  • 1School of Physics, Indian Institute of Science Education and Research, Thiruvananthapuram, Kerala, 695551, India.

Mikrochimica acta
|March 13, 2024
PubMed
概括

这项研究开发了一种金属氧化物传感器阵列,用于非侵入性疾病检测. 机器学习准确地识别了呼吸混合物中的四种挥发性有机化合物 (VOC),使得疾病诊断成为可能.

关键词:
复杂的混合物复杂的混合物气体传感器是一个气体传感器.机器学习 机器学习金属氧化物 是一种金属氧化物.传感器阵列是一组传感器阵列.挥发性有机化合物 挥发性有机化合物

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科学领域:

  • 材料科学与工程 材料科学与工程
  • 分析化学 分析化学
  • 生物医学工程 生物医学工程

背景情况:

  • 使用气息挥发性有机化合物 (VOC) 进行非侵入性疾病检测是一种有前途的诊断方法.
  • 在复杂的混合物中精确识别和量化多种VOC仍然是一个重大挑战.

研究的目的:

  • 开发一种金属氧化物传感器阵列,能够检测和量化呼吸中的多种VOC.
  • 应用机器学习算法来准确分析传感器对VOC混合物的反应.

主要方法:

  • 使用直流反应喷射制造三组合金属氧化物传感器阵列 (NiO-Au,CuO-Au,ZnO-Au).
  • 传感器阵列暴露于单个和混合度的乙醇,乙,烯和.
  • 使用各种机器学习算法分析传感器响应数据,包括随机森林 (RF) 和K-Nearest Neighbor (KNN).

主要成果:

  • 传感器阵列表现出对不同VOCs的高交叉敏感性.
  • 在混合物中的VOC分类中,KNN和RF算法实现了99%以上的准确性.
  • 在KNN回归分析中,R2值高于0.99,单个VOC的低检测极限 (LOD).

结论:

  • 开发的金属氧化物传感器阵列与机器学习相结合,可以同时准确地分类和量化多个VOC.
  • 这项技术具有非侵入性疾病诊断和治疗监测的巨大潜力.