AIMC Topic: Undaria

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Optimizing Cu adsorption prediction in Undaria pinnatifida using machine learning and isotherm models.

Journal of hazardous materials
Algae are cost-effective bioadsorbents for heavy metal remediation, yet their potential is underutilized due to limitations in traditional adsorption models. This study integrates machine learning (ML) techniques with traditional models to predict th...

Parts-per-trillion detection of harmala alkaloids in Undaria pinnatifida algae by on-line solid phase extraction capillary electrophoresis mass spectrometry.

Analytica chimica acta
β-carboline alkaloids of the harmala group (HAlks)-a family of compounds with pharmacologic effects-can be found at trace levels (<25 μg kg algae) in the edible invasive algae Undaria pinnatifida, known commonly as wakame. In this study, we present a...