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相关概念视频

NMR Spectrometers: Overview01:20

NMR Spectrometers: Overview

NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

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 first.
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse.
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other axis.

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相关实验视频

Updated: Jul 12, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

现代光谱分析在多维NMR光谱学:比较线性预测抽取和最大重建的比较.

Alan S Stern1, Kuo-Bin Li, Jeffrey C Hoch

  • 1Rowland Institute for Science, 100 Edwin H. Land Boulevard, Cambridge, Massachusetts 02142, USA.

Journal of the American Chemical Society
|February 28, 2002
PubMed
概括

在NMR光谱学中的线性预测 (LP) 推断引入了错误. 最大 (MaxEnt) 重建提供了卓越的准确性,分辨率和灵敏度,可能将生物分子研究所需的仪器时间减半.

科学领域:

  • 核磁共振 (NMR) 光谱学 核磁共振 (NMR) 光谱学
  • 生物分子研究研究.
  • 信号处理 信号处理

背景情况:

  • 核磁共振光谱对于生物分子研究至关重要,但受到灵敏度和分辨率的限制.
  • 传统的使用线性预测 (LP) 外推,其次是离散里埃转换 (DFT) 的信号处理尚未彻底评估其对光谱质量的影响.
  • 硬件方面的最新进展显著提高了NMR的灵敏度和分辨率.

研究的目的:

  • 与最大 (MaxEnt) 重建相比,系统地调查通过LP抽取处理的NMR光谱的准确性和精度.
  • 评估这些方法对光谱灵敏度,分辨率和文物存在的影响.
  • 确定替代信号处理方法是否可以提高NMR实验的效率.

主要方法:

  • 通过LP抽取/DFT生成的光谱与MaxEnt重建生成的光谱进行比较.
  • 对光谱准确度,精度,峰值检测和频率错误进行系统分析.
  • 评估数据记录长度和信号噪声比对LP推算性能的影响.
  • 评估MaxEnt用于非线性采样以提高分辨率的能力.

主要成果:

  • LP外推引入了假阳性峰值和频率错误,特别是较短的数据记录和较低的信号噪声比率.
  • 与LP抽象相比,MaxEnt重建通常提供了更容易检测的峰值,更高的频率准确性和更少的假阳性.

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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

相关实验视频

Last Updated: Jul 12, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

  • 马克斯恩特允许非线性采样,在光谱分辨率上提供了显著的改进.
  • 结合MaxEnt和非线性采样,可以将所需的仪器时间减少50%以上.
  • 结论:

    • LP外推容易出现不准确的情况,这可能会影响NMR光谱解释.
    • MaxEnt重建为处理NMR数据提供了更可靠和更敏感的方法,特别是在具有挑战性的生物分子应用中.
    • 采用非线性采样的MaxEnt可以显著提高NMR效率,减少实验时间和资源需求.