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相关概念视频

Sample Preparation for Analysis: Overview01:21

Sample Preparation for Analysis: Overview

196
Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
196
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

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Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
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相关实验视频

Updated: Jun 12, 2025

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
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灵活的无代码自动化概念,用于复杂的样本准备程序.

Kjell Kochale1, Dino Boerakker2, Thorsten Teutenberg2

  • 1Institut für Umwelt & Energie, Technik & Analytik e. V. (IUTA), Bliersheimer Str. 58-60, Duisburg 47229, Germany; Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr. 5, Essen 45141, Germany.

Journal of chromatography. A
|September 17, 2024
PubMed
概括

无代码自动化解决了实验室劳动力短缺问题,使员工能够在没有编程技能的情况下自动化HPTLC等复杂的测试,提高生产力和安全性.

关键词:
在 AChE 测试中.自动化 自动化 自动化一个协作式的机器人.高性能薄层染色学 高性能薄层染色学没有代码的自动化.

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科学领域:

  • 实验室自动化 实验室自动化
  • 机器人在科学中的机器人
  • 分析化学 分析化学

背景情况:

  • 科学,技术,工程和数学 (STEM) 领域的招生人数下降正在造成科学研究领域的劳动力短缺.
  • 传统的实验室自动化通常需要专门的编程专业知识,这限制了许多研究人员的可访问性.
  • 越来越需要适应性和用户友好的自动化解决方案来保持研究生产力和安全.

研究的目的:

  • 引入无代码自动化作为解决实验室环境中STEM劳动力赤字的可行策略.
  • 使用无代码软件平台演示高性能薄层染色学 (HPTLC) 试验的自动化.
  • 提高实验室人员在没有高级编程知识的情况下配置和修改自动化工作流程的能力.

主要方法:

  • 开发和部署一个用户友好的,无代码的测试自动化软件平台.
  • 集成一个协作机器人 (cobot) 和可编程逻辑控制器 (PLC) 进行自动化实验室任务.
  • 利用开源硬件用于自动样品处理,化,喷,检测和存储站.
  • 实施创新的设计解决方案和适应性编程,以应对诸如处理脆弱的HPTLC板块等挑战.

主要成果:

  • 使用无代码平台成功自动化复杂的HPTLC试验.
  • 授权实验室人员独立配置和调整自动化工作流程.
  • 证明了各种自动化站的无集成,包括对微妙的HPTLC板进行专业处理.
  • 通过创造性工程和灵活的编程克服实验室自动化的实际挑战.

结论:

  • 无代码自动化提供了一种可行和高效的解决方案,以缓解科学实验室的熟练劳动力短缺问题.
  • 这种方法提高了先进实验室技术的运营效率,安全性和可访问性.
  • 这项研究证实了无代码自动化的潜力,可以彻底改变STEM领域的实验室实践和劳动力发展.