Dereplication of secondary metabolites from Sophora flavescens using an LC–MS/MS-based molecular networking strategy DOI Creative Commons
Hua Wang, Hui Ding

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 24, 2025

A dereplication strategy was developed for the screening of secondary metabolites from Sophora flavescens. The consisted 4 procedures. First, extract flavescens root subjected to LC–MS/MS analysis with both data-independent acquisition (DIA) mode and data-dependent (DDA) mode. Then DIA results were used construct a molecular networking (MN) according GNPS workflow consequently obtain annotations. In parallel, DDA projected MN direct databases matching Finally, isomers discriminated annotated by their extracted ion chromatogram. Through combination these approaches, total 51 compounds dereplicated in samples. annotation showed approach are complementary each other. on can overcome challenges trace compound identification compared DB matching. This provides powerful tool study plant chemistry.

Language: Английский

Deep learning for chemical classification and valorization of Opuntia ficus-indica by-products DOI
Fekhreddine Chekkal,

Ilhem Chachoua,

Samir Hameurlaine

et al.

South African Journal of Botany, Journal Year: 2025, Volume and Issue: 178, P. 411 - 423

Published: Feb. 7, 2025

Language: Английский

Citations

0

Dereplication of secondary metabolites from Sophora flavescens using an LC–MS/MS-based molecular networking strategy DOI Creative Commons
Hua Wang, Hui Ding

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 24, 2025

A dereplication strategy was developed for the screening of secondary metabolites from Sophora flavescens. The consisted 4 procedures. First, extract flavescens root subjected to LC–MS/MS analysis with both data-independent acquisition (DIA) mode and data-dependent (DDA) mode. Then DIA results were used construct a molecular networking (MN) according GNPS workflow consequently obtain annotations. In parallel, DDA projected MN direct databases matching Finally, isomers discriminated annotated by their extracted ion chromatogram. Through combination these approaches, total 51 compounds dereplicated in samples. annotation showed approach are complementary each other. on can overcome challenges trace compound identification compared DB matching. This provides powerful tool study plant chemistry.

Language: Английский

Citations

0