Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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

Landscape of regulatory clinical investigations status of traditional and digital medical devices in the Republic of Korea (2003-mid 2024).

NPJ digital medicine·2026

Same author

Reproducibility and Robustness of Large Language Models for Mobility Functional Status Extraction.

medRxiv : the preprint server for health sciences·2026

Same author

IFIT3 Associates with m⁶A-Modified RNA to Restrict Hepatitis C Virus Infection.

bioRxiv : the preprint server for biology·2026

Same author

Uncovering the Role of Neuropsychiatric Symptoms in Cognitive Impairment Progression.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine·2026

Same author

Leveraging reddit data for context-enhanced synthetic health data generation to identify low self esteem.

Frontiers in psychiatry·2026

Same author

Hypergraph clustering for analyzing chronic disease patterns in mild cognitive impairment reversion and progression.

Scientific reports·2025

Search research articles

相关实验视频

Updated: Jun 27, 2025

Fatty Acid 13C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers

Fatty Acid 13C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers

Published on: April 17, 2018

通过使用先进的分析技术,优化复杂介质中脂肪酸的量化.

Eunji Jeon^1,2, Moonhee Park¹, Abhik Mojumdar^1,3

¹Research Center for Digital Omics, Korea Basic Science Institute (KBSI), Cheongju-si, Chungcheongbuk-do, Republic of Korea.

Rapid communications in mass spectrometry : RCM

|May 7, 2024

概括

在细胞培养基中精确的脂质测量至关重要. 本研究使用先进的二维气相色谱 (GC×GC) 进行精确的脂肪酸量化,改善介质质量控制和脂质研究.

更多相关视频

Analysis of Fatty Acid Content and Composition in Microalgae

Analysis of Fatty Acid Content and Composition in Microalgae

Published on: October 1, 2013

Identification of Fatty Acids in Bacillus cereus

Identification of Fatty Acids in Bacillus cereus

Published on: December 5, 2016

相关实验视频

Last Updated: Jun 27, 2025

Fatty Acid 13C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers

Fatty Acid 13C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers

Published on: April 17, 2018

Analysis of Fatty Acid Content and Composition in Microalgae

Analysis of Fatty Acid Content and Composition in Microalgae

Published on: October 1, 2013

Identification of Fatty Acids in Bacillus cereus

Identification of Fatty Acids in Bacillus cereus

Published on: December 5, 2016

科学领域:

分析化学分析化学
生物化学生化学
细胞生物学细胞生物学

背景情况:

细胞培养基中的必需脂肪酸范围在10-100毫克/升之间.
精确的脂质测量对于介质质量和以脂质为重点的细胞培养研究至关重要.
二维气相色谱 (GC×GC) 与传统GC相比,提供了更高的分辨率,灵敏度和分离能力.

研究的目的:

开发和验证一种先进的分析方法,用于在细胞培养基中精确量化脂肪酸.
解决脂质提取和分析方面的挑战,包括Tween 80等表面活性剂的干扰.
为了能够准确地监测介质组成,并促进基于脂质的细胞培养研究.

主要方法:

使用GC×GC与高分辨率质谱和火焰电离检测相结合的脂肪酸甲基 (FAMEs) 的量化.
优化的预处理涉及硫酸盐 (CTA) 溶液,以沉和去除Tween 80干扰.
先进的分析方法能够区分cis/trans异构体并确定双键位置.

主要成果:

在C6-C24范围内确定了36个FAME.
确定5%的CTA溶液在脂质提取过程中有效地去除了Tween 80.
实现了106%的脂肪酸回收率,平均相对标准偏差为~3%,最大限度地减少了污染和样本体积.

结论:

开发的GC×GC方法为复杂介质中的脂肪酸分析提供了强大而敏感的方法.
这种技术增强了介质质量控制,并支持对脂肪酸在细胞培养中的作用进行深入研究.
在具有挑战性的样本中提供了一种具有成本效益的解决方案,用于微量脂肪酸量化.