Lipid Quant 2.1:用于鉴定和定量通过脂类分离 QTOF 高分辨率质谱方法测量的脂类的开源软件

IF 3.7 2区 化学 Q2 AUTOMATION & CONTROL SYSTEMS Chemometrics and Intelligent Laboratory Systems Pub Date : 2024-06-20 DOI:10.1016/j.chemolab.2024.105169
Michaela Chocholoušková , Gabriel Vivó-Truyols , Denise Wolrab , Robert Jirásko , Michela Antonelli , Ondřej Peterka , Zuzana Vaňková , Michal Holčapek
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引用次数: 0

摘要

LipidQuant 2.1 是一款用 Matlab 编写的软件,设计用于高通量处理通过脂质分类分离和四极杆飞行时间(QTOF)高分辨率质谱(MS)测量的大型脂质组数据集。该软件可根据规定的质量精度识别脂质种类。主要重点是使用每类脂质至少一种内标进行正确的脂质组定量,并实施必要的 I 类和 II 类同位素自动校正程序,以确定准确的摩尔浓度,而大多数现有软件解决方案都不具备这种功能。LipidQuant 2.1 提供了三种峰值分配、同位素模式可视化和自动计算各种加成离子 m/z 的选项。初始脂质体数据库涵盖 31 个脂质类别,有 2900 多种主要存在于人体脂质体中的脂质,但用户可以根据自己的需要灵活修改和扩展数据库。所有算法和详细的用户手册均已提供。LipidQuant 2.1 的可靠性在一组通过超高效超临界液相色谱 (UHPSFC) 结合 QTOF-MS 测定的 250 多个生物样本上得到了验证。
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Lipid Quant 2.1: Open-source software for identification and quantification of lipids measured by lipid class separation QTOF high-resolution mass spectrometry methods

LipidQuant 2.1 is a software written in Matlab, which is designed for the high-throughput processing of large lipidomic data sets measured by lipid class separation coupled with quadrupole time-of-flight (QTOF) high-resolution mass spectrometry (MS). The software enables the identification of lipid species based on defined mass accuracy. The main focus is on the right lipidomic quantitation using at least one internal standard per lipid class and the implementation of an automated procedure for Type I and Type II isotopic corrections necessary for the determination of accurate molar concentrations, which is not available for the majority of existing software solutions. LipidQuant 2.1 offers three options for peak assignment, visualization of the isotopic pattern, and automated calculation of m/z for various adduct ions. The initial lipidomic database covers 31 lipid classes with more than 2900 lipid species that occur primarily in the human lipidome, but users have the full flexibility to modify and extend the database according to their needs. All algorithms and the detailed user manual are provided. The reliability of LipidQuant 2.1 is demonstrated on a set of more than 250 biological samples measured by ultrahigh-performance supercritical liquid chromatography (UHPSFC) coupled with QTOF-MS.

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来源期刊
CiteScore
7.50
自引率
7.70%
发文量
169
审稿时长
3.4 months
期刊介绍: Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines. Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data. The journal deals with the following topics: 1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.) 2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered. 3) Development of new software that provides novel tools or truly advances the use of chemometrical methods. 4) Well characterized data sets to test performance for the new methods and software. The journal complies with International Committee of Medical Journal Editors'' Uniform requirements for manuscripts.
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