Akhtar Naheed, Khadim Adeeba, Jeelani Syed Usama Yaseen, Zareena Bibi, Ali Arslan, Uddin Jalal, El-Seedi Hesham R, Sarker Satyajit D, Ramzan Muhammad, Musharraf Syed Ghulam
H.E.J. Research Institute of Chemistry International Center for Chemical and Biological Sciences University of Karachi Karachi Pakistan.
Dr. Panjwani Center For Molecular Medicine and Drug Research International Center for Chemical and Biological Sciences University of Karachi Karachi Pakistan.
Anal Sci Adv. 2025 Aug 26;6(2):e70038. doi: 10.1002/ansa.70038. eCollection 2025 Dec.
High-throughput screening and identification of common phytochemicals are crucial for lead optimization, drug development and investigation of metabolic pathways in complex herbal extracts. The available databases contain a huge number of compounds, making it challenging and time-consuming to dereplicate valuable compounds. Therefore, the current study aimed to develop an in-house mass spectral library for the rapid dereplication of 31 commonly occurring natural products from different classes using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). A total of 31 standards were grouped into two different pools, and each pool was analysed under uniformly optimized conditions in positive ionization mode. A pooling strategy on the basis of log values and exact masses was adopted to minimize the co-elution and the presence of isomers in the same pool. The MS/MS features of each compound were acquired using [M + H] and/or [M + Na] adducts at 25.5-62 eV range as average collision energy and 10, 20, 30 and 40 eV as individual collision energies. The names, molecular formulae, exact masses with <5 ppm error, MS and MS/MS features of analysed reference compounds were used to construct the MS/MS library. The developed MS/MS library was efficiently used for the rapid dereplication and validation of 31 compounds in 15 different food and plant sample extracts. The MS data of 31 reference standards have been submitted to the MetaboLights online database (MTBLS9587). The developed library will be beneficial for the rapid dereplication of biologically valuable compounds in a variety of herbal formulations and food samples.
高通量筛选和鉴定常见植物化学物质对于先导化合物优化、药物开发以及复杂草药提取物中代谢途径的研究至关重要。现有的数据库包含大量化合物,使得对有价值化合物进行去重复鉴定具有挑战性且耗时。因此,本研究旨在开发一个内部质谱库,用于使用液相色谱 - 电喷雾电离 - 串联质谱(LC - ESI - MS/MS)对31种不同类别的常见天然产物进行快速去重复鉴定。总共31种标准品被分为两个不同的组,每组在正离子化模式下统一优化的条件下进行分析。采用基于对数值和精确质量的分组策略,以尽量减少同一组中化合物的共洗脱和异构体的存在。使用[M + H]和/或[M + Na]加合物,在25.5 - 62 eV范围内作为平均碰撞能量,10、20、30和40 eV作为单独碰撞能量,获取每种化合物的MS/MS特征。分析的参考化合物的名称、分子式、误差<5 ppm的精确质量、MS和MS/MS特征用于构建MS/MS库。所开发的MS/MS库有效地用于15种不同食品和植物样品提取物中31种化合物的快速去重复鉴定和验证。31种参考标准品的MS数据已提交至MetaboLights在线数据库(MTBLS9587)。所开发的库将有助于在各种草药制剂和食品样品中快速去重复鉴定具有生物学价值的化合物。