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Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

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In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
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使用量子级联激光基于红外光谱仪的二维化学图像进行微塑料质量估计.

Borja Ferreiro1, José M Andrade1, Adrián López-Rosales1

  • 1Grupo Química Analítica Aplicada (QANAP), Instituto Universitario de Medio Ambiente (IUMA), Centro de Innovación Tecnolóxica en Edificación e Enxeñería Civil (CITEEC), Universidade da Coruña, Campus da Zapateira, E-15071 A Coruña, Spain.

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概括

这项研究引入了一种新的混合模型,使用光谱化学成像来估计塑料颗粒的质量. 该方法准确地确定了对于毒理学等领域至关重要的粒子质量,误差低于20%.

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科学领域:

  • 环境科学 环境科学
  • 分析化学 分析化学
  • 材料科学 材料科学 材料科学

背景情况:

  • 光谱化学成像提供粒子计数和特征,但缺乏质量信息.
  • 颗粒质量对于毒理学评估和环境影响研究至关重要.
  • 现有的塑料颗粒分析方法在提供质量数据方面是有限的.

研究的目的:

  • 开发和验证一种用于估计塑料颗粒质量的新型混合模型.
  • 将红外成像光谱的二维参数集成到质量估计中.
  • 创建一个用户友好的工具,用于微塑料的常规质量估计.

主要方法:

  • 使用可调节的量子级联激光基红外成像光谱学来获得二维粒子参数 (高度,宽度,面积,周边).
  • 开发了一种使用几何近似的混合模型:纤维的圆柱体,基于圆性的碎片的平行平行/球形.
  • 测试和混合现有模型,对已知的塑料颗粒集 (20-1500μm,190-9400μg) 进行验证.

主要成果:

  • 混合模型成功估计了塑料颗粒质量,相对误差低于20%.
  • 该方法在广泛的粒子大小和重量方面表现出有效性.
  • 开发的基于Excel的电子表格 (NOMME) 便于简化应用质量估计模型.

结论:

  • 这种新型混合模型提供了一种可靠的方法,用于从光谱成像数据中估计塑料颗粒质量.
  • 该技术增强了当前光谱方法的分析能力,特别是在毒理学应用中.
  • 对于那些需要量化微塑料质量的研究人员来说,NOMME工具提供了一个实用的解决方案.