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Artificial neural networks (ANN) and response surface methodology (RSM) for optimizing antioxidant and α-amylase inhibitory compound extraction from Ballota limbata

Crossref DOI link: https://doi.org/10.1038/s41598-026-37738-x

Published Online: 2026-04-02

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

Authors

Namra,

Iftikhar, Haroon

Aydar, Alev Yüksel

Ahmed, Dildar
License Information

Text and Data Mining valid from 2026-04-02

Accepted Manuscript valid from 2026-04-02
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Article History

Received: 30 October 2025

Accepted: 23 January 2026

First Online: 2 April 2026

Declarations

:

: The authors declare no competing interests.

: Plant sampling was carried out in accordance with the IUCN Policy Statement on Research Involving Threatened Species and the guidelines outlined in the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES).

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