Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

1.3K
The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
1.3K
Mass Spectrum01:23

Mass Spectrum

1.8K
A mass spectrum is the graphical representation of the relative abundance of the charged fragments in an analyte plotted against their mass-to-charge ratio (m/z). The plot's x axis represents the ratio of the mass of the charged fragment to the elementary charge it carries. The y axis of the plot represents the relative abundance of each charged species. The relative abundance is calculated from the signal intensity of each charged species recorded at the detector. The most intense signal...
1.8K
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.0K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.0K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.2K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.2K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

897
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
897
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

187
Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
187

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A clinically integrated, frameless human Neuropixels workflow.

medRxiv : the preprint server for health sciences·2026
Same author

Male and female mice scent mark during social communication regardless of sexual motivation or partner identity.

Cell reports·2026
Same author

Critical point drying of brain tissue for X-ray phase-contrast imaging.

Journal of synchrotron radiation·2026
Same author

Scaling up X-ray holographic nanotomography for neuronal tissue imaging.

Biomedical optics express·2026
Same author

Nondestructive X-ray tomography of brain tissue ultrastructure.

Nature methods·2025
Same author

A food-sensitive olfactory circuit drives anticipatory satiety.

Nature metabolism·2025
Same journal

Epidemiological characteristics of amebiasis in Japan from 2001 to 2022.

PloS one·2026
Same journal

Longitudinal associations of academic stress with eating related patterns, nutrition, somatic indicators, and depressive symptoms in university students: A study protocol.

PloS one·2026
Same journal

Pollution removal efficiency enhancement by agricultural biomass additions in constructed wetlands: A framework integrating meta-analysis with explainable machine learning.

PloS one·2026
Same journal

Insulation failure mapping on power transformer bushing using FRA and electrostatic simulation.

PloS one·2026
Same journal

Enhancing medical Q&A systems with multimodal knowledge graphs and dual-layer attention mechanisms.

PloS one·2026
Same journal

UAMP: Consistent video object segmentation with uncertainty-aware memory propagation.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 3, 2025

Sampling and Analysis of Animal Scent Signals
14:59

Sampling and Analysis of Animal Scent Signals

Published on: February 13, 2021

4.6K

量化关于多源气味羽毛中的源分离的光谱信息.

Sina Tootoonian1, Aaron C True2, Elle Stark2

  • 1Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom.

PloS one
|January 10, 2025
PubMed
概括
此摘要是机器生成的。

高频气味波动为定位气味来源提供了详细的信息. 这项研究量化了气味度相关性中的空间信息,表明嗅觉系统可以实现高分辨率源定位.

更多相关视频

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing
05:54

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Published on: January 28, 2021

4.6K
Identification of Olfactory Volatiles using Gas Chromatography-Multi-unit Recordings GCMR in the Insect Antennal Lobe
09:49

Identification of Olfactory Volatiles using Gas Chromatography-Multi-unit Recordings GCMR in the Insect Antennal Lobe

Published on: February 24, 2013

14.2K

相关实验视频

Last Updated: Jun 3, 2025

Sampling and Analysis of Animal Scent Signals
14:59

Sampling and Analysis of Animal Scent Signals

Published on: February 13, 2021

4.6K
Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing
05:54

Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

Published on: January 28, 2021

4.6K
Identification of Olfactory Volatiles using Gas Chromatography-Multi-unit Recordings GCMR in the Insect Antennal Lobe
09:49

Identification of Olfactory Volatiles using Gas Chromatography-Multi-unit Recordings GCMR in the Insect Antennal Lobe

Published on: February 24, 2013

14.2K

科学领域:

  • 嗅觉神经科学是一种神经科学.
  • 生物物理学的生物物理.
  • 计算流体动力学 计算流体动力学

背景情况:

  • 来自空间分离的来源的气味度时间序列包含有关源距离的信息.
  • 嗅觉系统,如老鼠和昆虫的嗅觉系统,可以检测高频率的快速气味波动.

研究的目的:

  • 量化存在于气味度相关性的光谱成分中的关于源分离的空间信息.
  • 调查嗅觉系统中的高频敏度是否支持气味源定位.

主要方法:

  • 利用计算流体动力学模拟2D混沌流中的多源羽毛.
  • 产生了暂时复杂的,覆盖着不同的气味度场.
  • 关于源分离的相关性的谱元件中的费舍尔信息的衍生分析表达式.

主要成果:

  • 高频率对源分离更有信息,当源相对于大流相对接近时.
  • 在不同的几何学模拟中观察到类似的效果.
  • 发现高频敏度支持高分辨率的气味源的空间定位.

结论:

  • 气味度相关性的高频组件对于精确的气味来源定位至关重要.
  • 该研究提供了一个对相关性谱元件的模型,以及一种方法来量化气味时间序列中的空间信息.
  • 表明嗅觉系统的高频敏度是高分辨率气味源定位的关键因素.