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相关概念视频

Atomic Emission Spectroscopy: Lab01:29

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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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The elemental makeup of a compound defines its chemical identity, and chemical formulas are the most concise way of representing this elemental makeup. When a compound’s formula is unknown, measuring the mass of its constituent elements is often the first step in determining the formula experimentally.
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Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a low-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.
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Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the...
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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
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Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
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Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

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估计个人PM的元素组成.

Na Li1, Chunyu Xu1, Dongqun Xu1

  • 1China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.

The Science of the total environment
|June 9, 2023
PubMed
概括

对细颗粒物 (PM2.5) 和其元素的个人暴露与室外测量有很大的不同. 室内和室外水平,以及生活方式因素,强烈预测个人接触PM2.5-bound元素.

关键词:
元素组成元素组成.影响因素影响因素.混合效应模型的混合效应模型.在PM中{2.5)个人风险 个人风险

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科学领域:

  • 环境健康科学 环境健康科学
  • 大气化学 大气化学
  • 暴露科学 暴露科学

背景情况:

  • 个人接触细颗粒物 (PM2.5) 和其基本成分可能与固定监测站点数据有很大差异.
  • 了解这些变化对于准确评估与PM2.5暴露相关的健康风险至关重要.

研究的目的:

  • 描述个人,室内和室外PM2.5结合元素度之间的差异.
  • 开发个人接触21个PM2.5-bound元素的预测模型.

主要方法:

  • 在两个季节连续五天收集个人,室内和室外PM2.5过器样本,来自中国北京和南京的66名非吸烟成年人.
  • 使用线性混合效应模型开发了个人元素特定的模型,用R平方和根平均平方误差 (RMSE) 评估它们.

主要成果:

  • 对PM2.5和大多数元素的个人暴露因元素和城市而异,与室内和室外测量有显著的相关性.
  • 室内和室外PM2.5元素度是个人暴露的主要决定因素,解释了大量的差异.
  • 家庭通风,时间活动模式和季节也显著影响了个人暴露水平.

结论:

  • 个人对PM2.5元素的暴露与环境测量不同,并受到室内/室外来源和个人行为组合的影响.
  • 开发的建模方法有效地预测了个人暴露,改善了PM2.5成分和健康结果之间的关联.