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Safety assurance and nutritional quality enhancement of Phyllospora comosa biomass using hydrothermal treatment derived ensemble machine learning models.

Authors :
Somasundaram, Thiru Chenduran
Mock, Thomas Steven
Callahan, Damien L.
Francis, David Scott
Source :
Food Control. Jan2025, Vol. 167, pN.PAG-N.PAG. 1p.
Publication Year :
2025

Abstract

One of the major barriers to the mass industrial utilisation of brown seaweeds as food sources stem from the food safety risks associated with their iodine and arsenic concentrations, which typically exceed regulatory limits. Hydrothermal treatments might effectively reduce the high iodine and arsenic concentration of Phyllospora comosa below the Australian maximum residual limits (iodine = 1 mg/g and arsenic = 0.00667 mg/g; dry weight) set for brown seaweeds. The experimental hydrothermal treatments dictated that the 82 °C–250 s treatment reduced the iodine concentration from 2.76 mg/g to 0.88 mg/g (68% reduction) and arsenic concentration from 0.01693 mg/g to 0.00965 mg/g (43% reduction). Machine learning models predicted that blanching at 100 °C for ∼4 minutes will reduce the arsenic concentration below its maximum residual limit. Additive log-ratio transformations showed that around 50% (dw) of the hydrothermally treated Phyllospora comosa samples were leached out during the highest treatment intensity, 82 °C–250 s. Even though, a half of the biomass is lost, hydrothermally treated Phyllospora comosa products are safer for human consumption and thus may permit the expansion of seaweed production and consumption in Australia. [Display omitted] • Hydrothermal blanching reduces iodine concentration of P. comosa below 1 mg/g MRL. • Hydrothermal blanching reduces the arsenic concentration by 43%. • MLM predicts 100 °C–4 min blanching may assure the nutritional safety of P. comosa. • A 100 °C - 11 min blanching may reduce iodine concentrations to the levels of nori. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09567135
Volume :
167
Database :
Academic Search Index
Journal :
Food Control
Publication Type :
Academic Journal
Accession number :
179601846
Full Text :
https://doi.org/10.1016/j.foodcont.2024.110802