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用于可互操作的多实验室综合成分分析的傅里叶变换离子回旋共振质谱仪的校准

Harmonization of FT-ICR-MS Instruments for Interoperable Multi-Laboratory Comprehensive Compositional Profiling.

作者信息

Pieczonka Stefan A, Thomas Mary J, Schmitt-Kopplin Philippe, Marshall James W

机构信息

Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.

Analytical BioGeoChemistry, Helmholtz Association, Helmholtz Munich, 85764 Neuherberg, Germany.

出版信息

Anal Chem. 2025 Apr 22;97(15):8491-8498. doi: 10.1021/acs.analchem.5c00488. Epub 2025 Apr 10.

DOI:10.1021/acs.analchem.5c00488
PMID:40208963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12019771/
Abstract

Given the long hardware lifespan, fixed installation, and comparatively high investment required to procure them, Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) instruments tend to have a long operational life. The field is constantly evolving with rapidly advancing instrumental developments, and FT-ICR research groups work with a range of instrument designs from different generations. Consequently, compositional spectra comparability between instruments is a critical concern in FT-ICR-MS, particularly due to the variability introduced by commonly used direct infusion methods. This study demonstrates interlaboratory comparability of FT-ICR-MS molecular profiles using a 12 T solariX with an Infinity Cell and a 7 T scimaX with a ParaCell, with closely matched sample introduction and ion guide systems. Using analytically challenging pet food samples, we achieved similar instrument performance metrics, including resolving power, mass error, feature count, signal-to-noise ratios, and / distribution. The improved field homogeneity and sensitivity of the ParaCell reduced ICR cell space-charge interferences, making specialized calibration methods beyond linear calibration obsolete. We observed up to 78% overlap in annotated signals of the spectra increasing to 95%, when higher-intensity features are considered. Relative abundances showed great similarity, despite sample-dependent fluctuations (median coefficient of variation 23.4% to 49.2% and 15.5% to 29.5%, respectively). Unsupervised multivariate analysis (PCA) revealed consistent sample profiles with no systematic bias. Our study demonstrates that with careful instrument adjustment, molecular profile comparability can be achieved, ensuring the continued relevance of extensive databases and large chemical data sets acquired in long-term and collaborative projects measured on different instrumentation.

摘要

鉴于傅里叶变换离子回旋共振质谱仪(FT-ICR MS)硬件使用寿命长、安装固定且购置所需投资相对较高,这类仪器往往具有较长的运行寿命。随着仪器技术的快速发展,该领域也在不断演变,FT-ICR研究团队使用的是来自不同代的一系列仪器设计。因此,仪器之间的成分谱可比性是FT-ICR-MS中的一个关键问题,特别是由于常用直接进样方法引入的变异性。本研究展示了使用配备Infinity Cell的12 T solariX和配备ParaCell的7 T scimaX时,FT-ICR-MS分子谱的实验室间可比性,这两种仪器的进样和离子导向系统紧密匹配。使用分析颇具挑战性的宠物食品样品,我们实现了类似的仪器性能指标,包括分辨率、质量误差、特征数量、信噪比和同位素分布。ParaCell改善的场均匀性和灵敏度减少了ICR池的空间电荷干扰,使得线性校准之外的专门校准方法不再必要。我们观察到,光谱中注释信号的重叠率高达78%,若考虑更高强度的特征,重叠率则增至95%。尽管存在与样品相关的波动(中位数变异系数分别为23.4%至49.2%和15.5%至29.5%),相对丰度仍显示出极大的相似性。无监督多变量分析(PCA)揭示了一致的样品谱,没有系统偏差。我们的研究表明,通过仔细调整仪器,可以实现分子谱的可比性,确保在不同仪器上测量的长期合作项目中获取的大量数据库和大型化学数据集的持续相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/21a76549fa51/ac5c00488_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/fb95a7b7902d/ac5c00488_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/9c76e4b5aeaa/ac5c00488_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/f9b33e159128/ac5c00488_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/21a76549fa51/ac5c00488_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/fb95a7b7902d/ac5c00488_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/9c76e4b5aeaa/ac5c00488_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/f9b33e159128/ac5c00488_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e59/12019771/21a76549fa51/ac5c00488_0004.jpg

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The high-resolution molecular portrait of coffee: A gateway to insights into its roasting chemistry and comprehensive authenticity profiles.咖啡的高分辨率分子特征:深入了解其烘焙化学和全面真实性特征的途径。
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FT-ICR-MS reveals the molecular imprints of the brewing process.
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Front Nutr. 2023 Sep 22;10:1243503. doi: 10.3389/fnut.2023.1243503. eCollection 2023.
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