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相关概念视频

¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.1K
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...
1.1K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

151
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
151
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.1K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.1K
Variability: Analysis01:11

Variability: Analysis

144
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
144
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

218
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
218
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

89
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
89

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相关实验视频

Updated: Jul 11, 2025

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
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Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

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全球嵌入式碳链与全球价值链之间的多视角脱分析.

Yuhan Liang1, Qiumeng Zhong1, Zijun Deng1

  • 1Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong 510006, China.

Environmental science & technology
|November 6, 2023
PubMed
概括
此摘要是机器生成的。

全球经济增长和碳排放脱对于减缓气候变化至关重要. 这项研究揭示了脱的重大区域差异,突出了供应链国际合作的必要性.

关键词:
消费 消费 消费 消费 消费 消费脱的脱方式输入 - 输出分析.供应提供供应提供供应供应供应供应供应链中的供应链.贸易贸易贸易贸易贸易.

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

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Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
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Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

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相关实验视频

Last Updated: Jul 11, 2025

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
09:38

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Published on: January 7, 2019

8.6K
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

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Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
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科学领域:

  • 环境经济学环境经济学
  • 气候变化缓解缓解 气候变化缓解
  • 全球供应链的全球供应链

背景情况:

  • 将经济增长与碳排放脱为可持续发展的关键.
  • 传统的以生产为基础的分析不足以理解供应链排放.
  • 全球供应链使温室气体 (GHG) 排放和经济价值的评估变得复杂.

研究的目的:

  • 调查1995-2019年增加值和温室气体排放之间的脱状态.
  • 分析全球供应链的消费和收入视角之间的脱.
  • 确定脱的区域差异,并为缓解策略提供信息.

主要方法:

  • 对1995-2019年增加值和温室气体排放数据的分析.
  • 检查与生产,消费和收入观点的脱.
  • 全球17个地区的比较分析.

主要成果:

  • 观察到脱状态的区域差异很大 (例如,俄罗斯,澳大利亚,马耳他).
  • 马耳他从生产的角度来看表现出强烈的脱,但从消费的角度来看表现出广泛的负面脱.
  • 大多数国际货币对在考虑消费和收入时没有实现强烈的脱.

结论:

  • 分离分析需要多视角的方法,包括消费和收入.
  • 国际合作对于全球供应链的温室气体排放有效脱至关重要.
  • 这些发现支持全球温室气体减排和可持续发展的互补政策.