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相关概念视频

IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.0K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.0K
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

24.0K
UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given...
24.0K
IR and UV–Vis Spectroscopy of Aldehydes and Ketones01:29

IR and UV–Vis Spectroscopy of Aldehydes and Ketones

5.3K
Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...
5.3K
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.2K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.2K
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.5K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
2.5K
NMR Spectroscopy of Aromatic Compounds01:14

NMR Spectroscopy of Aromatic Compounds

4.6K
Aromatic compounds can be identified or analyzed using proton NMR and carbon‐13 NMR. Typically, aromatic hydrogens or hydrogens directly bonded to the aromatic rings are strongly deshielded by the aromatic ring current. Therefore, they absorb in the range of 6.5–8.0 ppm in proton NMR spectra. For instance, aromatic hydrogens directly bonded to the benzene ring absorb at 7.3 ppm. However, aromatic hydrogens of larger rings absorb farther upfield or downfield than the ideal range.
4.6K

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相关实验视频

Updated: Jun 14, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

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从振动光谱预测气味:一个数据驱动的方法.

Durgesh Ameta1,2, Laxmidhar Behera1,3, Aniruddha Chakraborty4

  • 1Indian Knowledge System and Mental Health Applications Centre, Indian Institute of Technology, Mandi, 175005, India.

Scientific reports
|September 2, 2024
PubMed
概括
此摘要是机器生成的。

这项研究通过深度学习和振动光谱 (VS) 分析验证了嗅觉的振动理论. 我们的数据驱动方法显著改善了气味分类,证实了气味的化学机制.

关键词:
可解释的人工智能气味预测 气味预测振动光谱 振动光谱

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科学领域:

  • 化学 化学 化学
  • 计算化学的计算化学
  • 感官科学 感官科学

背景情况:

  • 嗅觉,嗅觉是一种复杂的模式,有两个主要的化学理论:振动和对接.
  • 嗅觉的振动理论需要通过广泛的研究进一步验证.
  • 现有研究通常依赖于具有有限特征集的传统机器学习方法.

研究的目的:

  • 使用数据驱动技术系统地分析3018个分子的振动光谱 (VS).
  • 通过先进的计算方法验证嗅觉的振动理论.
  • 通过整合各种分子特征来提高气味分类的准确性.

主要方法:

  • 利用原子模拟来生成3018个分子的VS数据.
  • 应用格拉米安角场和马尔科夫过渡场用于VS图像表示.
  • 采用深度学习,分类,集群 (AHC,k-means) 和可解释的人工智能技术.
  • 融合PCA减少的指纹功能与基于图像的功能进行增强分析.
  • 使用UMAP,MDS,t-SNE和PCA进行了维度缩小.

主要成果:

  • 深度学习模型在相同的数据集上显著优于以前的传统机器学习方法.
  • VS的图像表示,结合指纹特征,提高了气味分类的准确性.
  • 聚类分析提供了关于分子结构,VS和感知气味之间的关系的见解.
  • 该研究证实了深度学习在推进嗅觉研究方面的潜力.

结论:

  • 这些发现为嗅觉的振动理论提供了强有力的支持.
  • 深度学习和先进的计算技术为了解气味提供了强大的工具.
  • 这项研究提高了基于分子性质预测和分类气味的能力.