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相关概念视频

Toxic Reactions: Overview01:26

Toxic Reactions: Overview

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When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
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Types of Toxins01:36

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Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
Air pollutants, primarily gases, pose significant threats to respiratory health, leading to conditions like hypoxia, lung cancer, and in extreme cases, death.
Environmental pollutants like...
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相关实验视频

Updated: May 23, 2025

The Multi-organ Chip - A Microfluidic Platform for Long-term Multi-tissue Coculture
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The Multi-organ Chip - A Microfluidic Platform for Long-term Multi-tissue Coculture

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器官在芯片设备的毒动力学

Nathaniel G Hermann1, Richard A Ficek1, Dmitry A Markov2

  • 1Department of Physics and Astronomy, Vanderbilt University, PMB 401807, Nashville, TN 37240, USA. shane.hutson@vanderbilt.edu.

Lab on a chip
|March 10, 2025
PubMed
概括

一个新的模型通过计算与聚二甲基素 (PDMS) 的相互作用,准确地预测器官芯片 (OOC) 设备中的化学剂量. 这提高了OOC在毒理学和药理学测试中的可靠性.

科学领域:

  • 药理学和毒理学 药理学和毒理学
  • 生物医学工程 生物医学工程
  • 材料科学 材料科学 材料科学

背景情况:

  • 器官芯片 (OOC) 设备是先进的新方法 (NAM) 用于预测人类反应.
  • 聚甲基 (PDMS) 是OOC中常见的材料,但与疏水性化学物质相互作用.
  • 这种相互作用改变了实际的化学剂量细胞体验,影响了OOC可靠性.

研究的目的:

  • 开发和验证化学与PDMS相互作用的综合模型.
  • 为量化OOC设备中由于PDMS材料特性而导致的剂量不准确性.
  • 提高OOC在毒理学和药理学应用中的预测准确度.

主要方法:

  • 开发了一个模型来描述化学分离到PDMS和通过PDMS的扩散.
  • 将模型应用于24种不同的化学品,包括染料,污染物和农药.
  • 验证了模型在连续流条件下预测时间依赖剂量的能力.

主要成果:

  • 描述了24种化学物质的PDMS相互作用.
  • 获得每个化学物质的物理相互作用参数.
  • 在模拟的OOC条件下证明了对时间依赖剂量的准确预测.

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相关实验视频

Last Updated: May 23, 2025

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Published on: April 28, 2015

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结论:

  • 开发的模型准确地描述了化学-PDMS相互作用.
  • 这种模型可以在OOC设备中准确预测剂量.
  • 这些发现增强了OOC作为可靠的NAM在药物开发和毒理学中的实用性.