Comprehensive UHPLC–Orbitrap–MS Profiling of Phloroglucinol α-Pyrones in Helichrysum italicum (Roth) G. Don (Asteraceae)

Helichrysum italicum is a Mediterranean medicinal plant whose phloroglucinol (PG) α-pyrones constitute a structurally distinctive and pharmacologically relevant metabolite class, yet no systematic high-resolution mass spectrometric (HRMS) study has comprehensively characterized them. In this study, the acetone extract of inflorescences from Helichrysum italicum (Roth) G. Don was profiled by UHPLC–Orbitrap–MS in negative ion mode using full-scan and data-dependent MS/MS acquisition; exact-mass elemental composition assignment and HCD fragmentation analysis were combined with unsupervised clustering of fragment-ion and neutral-loss intensity matrices, validated against a manually curated annotation table using the adjusted Rand index (ARI) and cluster purity. From a total of 59 annotated compounds, 23 corresponded to known PG-α-pyrones previously reported from Helichrysum and 36 represented structures not previously described from the genus. Diagnostic fragment ions (FIs) and neutral losses (NLs) were established for identifying specific substituents of the α-pyrone and PG moieties. Semi-quantification gave a total PG-α-pyrone content of 0.019% dry weight, dominated by arzanol. This study establishes a UHPLC–HRMS framework for profiling phloroglucinol α-pyrone derivatives and confirms H. italicum as a rich source of this class.

Authors

Institutions

Publication Details

Journal
Plants
Published
2026-08-27
DOI
https://doi.org/10.3390/plants15172619
Primary Topic
Natural Compound Pharmacology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Comprehensive UHPLC–Orbitrap–MS Profiling of Phloroglucinol α-Pyrones in Helichrysum italicum (Roth) G. Don (Asteraceae)

Teodor Marinov, Paraskev Nedialkov, Yulian Voynikov
Plants
Natural Compound Pharmacology Studies
article

Comprehensive UHPLC–Orbitrap–MS Profiling of Phloroglucinol α-Pyrones in Helichrysum italicum (Roth) G. Don (Asteraceae)

Teodor Marinov, Paraskev Nedialkov, Yulian Voynikov
article en

Abstract

Helichrysum italicum is a Mediterranean medicinal plant whose phloroglucinol (PG) α-pyrones constitute a structurally distinctive and pharmacologically relevant metabolite class, yet no systematic high-resolution mass spectrometric (HRMS) study has comprehensively characterized them. In this study, the acetone extract of inflorescences from Helichrysum italicum (Roth) G. Don was profiled by UHPLC–Orbitrap–MS in negative ion mode using full-scan and data-dependent MS/MS acquisition; exact-mass elemental composition assignment and HCD fragmentation analysis were combined with unsupervised clustering of fragment-ion and neutral-loss intensity matrices, validated against a manually curated annotation table using the adjusted Rand index (ARI) and cluster purity. From a total of 59 annotated compounds, 23 corresponded to known PG-α-pyrones previously reported from Helichrysum and 36 represented structures not previously described from the genus. Diagnostic fragment ions (FIs) and neutral losses (NLs) were established for identifying specific substituents of the α-pyrone and PG moieties. Semi-quantification gave a total PG-α-pyrone content of 0.019% dry weight, dominated by arzanol. This study establishes a UHPLC–HRMS framework for profiling phloroglucinol α-pyrone derivatives and confirms H. italicum as a rich source of this class.

PlantsVol. 15(17)
Medical University of Sofia (BG)
Life below water
Openalex Percentile: Top 12%
Natural Compound Pharmacology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.