An Innovative Strategy for Untargeted Mass Spectrometry Data Analysis: Rapid Chemical Profiling of the Medicinal Plant Terminalia chebula Using Ultra-High-Performance Liquid Chromatography Coupled with Q/TOF Mass Spectrometry–Key Ion Diagnostics–Neutral Loss Filtering

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Publicado en:Molecules vol. 30, no. 11 (2025), p. 2451
Autor principal: Yu, Jia
Otros Autores: Zhao, Xinyan, He Yuqi, Zhang, Yi, Tang, Ce
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MDPI AG
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022 |a 1420-3049 
024 7 |a 10.3390/molecules30112451  |2 doi 
035 |a 3217742925 
045 2 |b d20250101  |b d20251231 
084 |a 231541  |2 nlm 
100 1 |a Yu, Jia  |u School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; yu77@cdutcm.edu.cn 
245 1 |a An Innovative Strategy for Untargeted Mass Spectrometry Data Analysis: Rapid Chemical Profiling of the Medicinal Plant <i>Terminalia chebula</i> Using Ultra-High-Performance Liquid Chromatography Coupled with Q/TOF Mass Spectrometry–Key Ion Diagnostics–Neutral Loss Filtering 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Structural characterization of natural products in complex herbal extracts remains a major challenge in phytochemical analysis. In this study, we present a novel post-acquisition data-processing strategy—key ion diagnostics–neutral loss filtering (KID-NLF)—combined with ultra-high-performance liquid chromatography–quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) for systematic profiling of the medicinal plant Terminalia chebula. The strategy consists of four main steps. First, untargeted data are acquired in negative electrospray ionization (ESI−) mode. Second, a genus-specific diagnostic ion database is constructed by leveraging characteristic fragment ions (e.g., gallic acid, chebuloyl, and HHDP groups) and conserved substructures. Third, MS/MS data are high-resolution filtered using key ion diagnostics and neutral loss patterns (302 Da for HHDP; 320 Da for chebuloyl). Finally, structures are elucidated via detailed spectral analysis. The methanol extract of T. chebula was separated on a C18 column using a gradient of acetonitrile and 0.1% aqueous formic acid within 33 min. This separation enabled detection of 164 compounds, of which 47 were reported for the first time. Based on fragmentation pathways and diagnostic ions (e.g., m/z 169 for gallic acid, m/z 301 for ellagic acid, and neutral losses of 152, 302, and 320 Da), the compounds were classified into three major groups: gallic acid derivatives, ellagitannins (containing HHDP, chebuloyl, or neochebuloyl moieties), and triterpenoid glycosides. KID-NLF overcomes key limitations of conventional workflows—namely, isomer discrimination and detection of low-abundance compounds—by exploiting genus-specific structural signatures. This strategy demonstrates high efficiency in resolving complex polyphenolic and triterpenoid profiles and enables rapid annotation of both known and novel metabolites. This study highlights KID-NLF as a robust framework for phytochemical analysis in species with high chemical complexity. It also paves the way for applications in quality control, drug discovery, and mechanistic studies of medicinal plants. 
653 |a Data processing 
653 |a Drug development 
653 |a Mass spectrometry 
653 |a Accuracy 
653 |a Scientific imaging 
653 |a Acids 
653 |a Chromatography 
653 |a Herbal medicine 
653 |a Research & development--R&D 
653 |a Identification 
653 |a Phytochemicals 
653 |a Quality control 
653 |a Data analysis 
700 1 |a Zhao, Xinyan  |u School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; 19946734998@163.com (X.Z.); 18502828016@163.com (Y.H.) 
700 1 |a He Yuqi  |u School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; 19946734998@163.com (X.Z.); 18502828016@163.com (Y.H.) 
700 1 |a Zhang, Yi  |u School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; yu77@cdutcm.edu.cn 
700 1 |a Tang, Ce  |u School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China; yu77@cdutcm.edu.cn 
773 0 |t Molecules  |g vol. 30, no. 11 (2025), p. 2451 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3217742925/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3217742925/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3217742925/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch