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相关概念视频

Flame Photometry: Overview01:02

Flame Photometry: Overview

Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
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相关实验视频

Updated: Jun 19, 2026

Measuring Spray Droplet Size from Agricultural Nozzles Using Laser Diffraction
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Measuring Spray Droplet Size from Agricultural Nozzles Using Laser Diffraction

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基于机器学习的气溶大小测量的光散射方法.

Jin Zeng1, Jingjing Xia2

  • 1School of Computer Science, Hubei University of Technology, Wuhan 430068, P. R. China.

ACS sensors
|March 11, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用光散射角光谱和机器学习进行精确气溶颗粒尺寸分布测量的新方法,而不需要折射率. 一个原型传感器在现实世界实地应用中显示出高精度.

关键词:
气溶喷雾剂是一种气溶.机器学习是机器学习.光学散射是一种光学散射.颗粒大小分布 粒子大小分布折射率指数的折射率指数是什么

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相关实验视频

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科学领域:

  • 大气科学 大气科学
  • 光学物理学的光学物理学
  • 数据科学数据科学数据科学

背景情况:

  • 光学散射是一种常见的,非侵入性的实时气溶尺寸测定方法.
  • 准确的粒子大小分布 (PSD) 检索通常需要先前了解气溶的折射率,这很难在现场测量.

研究的目的:

  • 开发一种新的方法来确定气溶PSD,而无需事先了解折射率.
  • 利用光散射角光谱 (LSAS) 和机器学习来应对气溶特性中未知折射率的挑战.

主要方法:

  • 使用光散射角光谱 (LSAS) 开发了一种新的传感方法.
  • 机器学习技术被用来建模LSAS和PSD之间的复杂非线性关系,并纳入气溶折射率.
  • 一个小型的原型传感器被设计,制造,并用各种气溶样本进行实验测试.

主要成果:

  • 开发的方法成功地检索气溶PSD,而不需要先前了解折射率.
  • 实验结果显示了高精度,PSD的最大Kullback-Leibler分歧 (D_KL) 为0.07.
  • 原型传感器在测量不同尺寸的气溶样本方面被证明是有效的.

结论:

  • 拟议的PSD传感方法提供了高度准确的气溶特征,独立于折射率.
  • 紧的原型传感器显示出在现场测量中进行实际气溶分析的巨大潜力.
  • 这一进步有助于在实验室环境之外更容易获得和更精确的气溶监测.