Crossmark

Metabolite detection via QTOF-LCMS and computational analysis on Russelia equisetiformis exploring green nanotechnology and antifungal against phytopathogens

Crossref DOI link: https://doi.org/10.1186/s40538-025-00850-7

Published Online: 2025-10-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Aldahasi, Reham M.

Alghamdi, Sahar S.

Albulushi, Nouf

Alhuraibi, Hanin

Suliman, Rasha Saad

Alsubait, Arwa

Alahmari, Amirah S.

Mohammed, Afrah E.
Funding

Funding for this research was provided by:

Princess Nourah Bint Abdulrahman University (PNURSP2025R470)
License Information

Text and Data Mining valid from 2025-10-09

Version of Record valid from 2025-10-09
More Information

Article History

Received: 9 April 2025

Accepted: 24 August 2025

First Online: 9 October 2025

Declarations

:

: The authors declare no competing interests.

Document is current

Any future updates will be listed below