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相关概念视频

Ferromagnetism01:31

Ferromagnetism

2.4K
Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...
2.4K
Magnetic Flux01:18

Magnetic Flux

3.6K
The magnetic flux measures the number of magnetic field lines passing through a given surface area. The SI unit for magnetic flux is the weber (Wb). Magnetic flux is a scalar quantity. It depends on three factors: the strength of the magnetic field B, the area through which the field lines pass, and the relative orientation of the field with the surface area.
Suppose a surface is divided into elements of area dA. For each element, the component of the magnetic field that is normal to the...
3.6K
Diamagnetism01:26

Diamagnetism

2.5K
Materials consisting of paired electrons have zero net magnetic moments. However, when these materials are placed under an external magnetic field, the moments opposite to the field are induced. Such materials are called diamagnets. Diamagnetism is the response of the diamagnets when placed in an external magnetic field.
Diamagnetism was discovered by Anton Brugmans in 1778 when he observed that bismuth gets repelled by magnetic fields, thus theorizing that diamagnets get repelled by magnets....
2.5K
Magnetic Force01:18

Magnetic Force

1.0K
In addition to the electric forces between electric charges, moving electric charges exert magnetic forces on each other. A magnetic field is created by a moving charge or a group of moving charges known as the electric current. A magnetic force is experienced by a second current or moving charge in response to this magnetic field. Fundamentally, interactions between moving electrons in the atoms of two bodies produce magnetic forces between them.
The magnetic force acting on a moving charge...
1.0K
Magnetism01:30

Magnetism

6.4K
Magnets are commonly found in everyday objects, such as toys, hangers, elevators, doorbells, and computer devices. Experimentation on these magnets shows that all magnets have two poles: one is labeled north (N) and the other south (S). Magnetic poles repel if they are alike and attract if unlike. Moreover, both poles of a magnet attract unmagnetized pieces of iron.
An individual magnetic pole cannot be isolated. No matter how small, every piece of a magnet contains a north pole and a south...
6.4K
Magnetic Field Due To A Thin Straight Wire01:28

Magnetic Field Due To A Thin Straight Wire

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Consider an infinitely long straight wire carrying a current I. The magnetic field at point P at a distance a from the origin can be calculated using the Biot-Savart law.
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Updated: Jul 28, 2025

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
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Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

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磁铁 Fe 是一个磁铁.

Zichen Yang1, Guoqing Chen2, Chaoqun Ma2

  • 1School of Science, Jiangnan University, Wuxi, China; School of Internet of Things Engineering, Jiangnan University, Wuxi, China; Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Wuxi, China.

Talanta
|June 4, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用表面增强拉曼散射 (SERS) 和机器学习检测乳制品中的类抗生素的新方法. 该技术可以准确地识别和量化常见的抗生素,如西普洛克萨,诺弗洛克萨和莱沃弗洛克萨.

关键词:
乳制品 乳制品 乳制品磁性SERS基板是一种磁性SERS基板.昆类抗生素 昆类抗生素表面增强的拉曼散射 (SERS) 是一种

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Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
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Synthesis of Cationized Magnetoferritin for Ultra-fast Magnetization of Cells
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相关实验视频

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Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
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科学领域:

  • 分析化学 分析化学
  • 食品安全 食品安全
  • 材料科学 材料科学 材料科学

背景情况:

  • 昆类抗生素在乳制品行业被广泛使用.
  • 乳制品中的过度抗生素残留物构成了严重的食品安全问题.
  • 敏感和准确的检测方法对于监测这些污染物至关重要.

研究的目的:

  • 开发一种新方法来对乳制品中的三种类抗生素 (Ciprofloxacin,Norfloxacin,Levofloxacin) 进行分类和量化.
  • 利用表面增强的拉曼散射 (SERS) 结合机器学习进行增强的检测.
  • 为了应对检测结构相似的抗生素化合物的挑战.

主要方法:

  • 基于共价有机框架 (COF) 的磁性SERS基板的制造.
  • 应用SERS用于类抗生素的光谱获取.
  • 整合机器学习算法 (PCA-k-NN,PCA-SVM,PCA-决策树) 用于数据分析和分类.
  • 确定个别抗生素的检测极限 (LOD).

主要成果:

  • 在三种抗生素的光谱数据集中实现了100%的分类准确性.
  • 已确立的低检测极限 (LOD):西普罗素 (CIP) 在5.61 × 10−9 M,莱沃素 (LEV) 在1.44 × 10−8 M,诺夫素 (NFX) 在1.56 × 10−8 M.
  • 证明了SERS和机器学习方法在复杂样本分析中的有效性.

结论:

  • 开发的基于COF的磁性SERS基板与机器学习相结合,提供了一种高度敏感和准确的方法,用于检测乳制品中的类抗生素.
  • 这种方法为确保食品安全和打击乳制品行业过度使用抗生素提供了一个有希望的新工具.
  • 该方法在结构相似的分子之间进行区分的能力凸显了其对复杂残留物分析的潜力.