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基于液相色谱-质谱联用/数据独立采集的全面黄酮类化合物分析策略:一个 spp. 适用性案例。

LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an spp. applicability case.

作者信息

Alves Matheus Fernandes, Katchborian-Neto Albert, Bueno Paula Carolina Pires, Carnevale-Neto Fausto, Casoti Rosana, Ferreira Miller Santos, Murgu Michael, de Paula Ana Claudia Chagas, Dias Danielle Ferreira, Soares Marisi Gomes, Chagas-Paula Daniela Aparecida

机构信息

Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil

Leibniz Institute of Vegetable and Ornamental Crops (IGZ) Theodor-Echtermeyer-Weg 1 14979 Großbeeren Germany.

出版信息

RSC Adv. 2024 Apr 2;14(15):10481-10498. doi: 10.1039/d4ra01384k. eCollection 2024 Mar 26.

DOI:10.1039/d4ra01384k
PMID:38567345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10985591/
Abstract

We introduce a liquid chromatography - mass spectrometry with data-independent acquisition (LC-MS/DIA)-based strategy, specifically tailored to achieve comprehensive and reliable glycosylated flavonoid profiling. This approach facilitates in-depth and simultaneous exploration of all detected precursors and fragments during data processing, employing the widely-used open-source MZmine 3 software. It was applied to a dataset of six plant species. This framework suggested 49 flavonoids potentially newly described for these plant species, alongside 45 known features within the genus. Flavonols kaempferol and quercetin, both exhibiting -glycosylation patterns, were particularly prevalent. Gas-phase fragmentation reactions further supported these findings. For the first time, the apigenin flavone backbone was also annotated in most of the examined species. Apigenin derivatives were found mainly in the -glycoside form, with displaying the highest flavone : flavonol ratio. The approach also allowed an unprecedented detection of kaempferol and quercetin in species, and it has underscored the untapped potential of LC-MS/DIA data for broad and reliable flavonoid profiling. Our study annotated more than 50 flavonoid backbones in each species, surpassing the current literature.

摘要

我们介绍了一种基于液相色谱-质谱联用数据非依赖采集(LC-MS/DIA)的策略,该策略经过专门定制,以实现全面且可靠的糖基化黄酮类化合物谱分析。这种方法在数据处理过程中借助广泛使用的开源软件MZmine 3,有助于对所有检测到的前体和碎片进行深入且同步的探索。它被应用于六种植物物种的数据集。该框架表明,这些植物物种可能新发现了49种黄酮类化合物,同时该属内还有45种已知特征。黄酮醇山奈酚和槲皮素均呈现出O-糖基化模式,尤为普遍。气相碎裂反应进一步支持了这些发现。在大多数被检测物种中,首次还注释了芹菜素黄酮骨架。芹菜素衍生物主要以O-糖苷形式存在,其中[具体物种]显示出最高的黄酮:黄酮醇比例。该方法还首次在[具体物种]中检测到了山奈酚和槲皮素,并且突出了LC-MS/DIA数据在广泛而可靠的黄酮类化合物谱分析方面尚未开发的潜力。我们的研究在每个物种中注释了超过50种黄酮骨架,超过了当前的文献报道。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/25ea189830fd/d4ra01384k-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/f02f67e00fcf/d4ra01384k-f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/451c5a912f05/d4ra01384k-f4.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/25ea189830fd/d4ra01384k-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/f02f67e00fcf/d4ra01384k-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/8579febae180/d4ra01384k-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/cb889e996c73/d4ra01384k-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/451c5a912f05/d4ra01384k-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/92e85a5ac846/d4ra01384k-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/67351b460e00/d4ra01384k-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/619d/10985591/25ea189830fd/d4ra01384k-f7.jpg

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