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

被引:2
|
作者
Somasundaram, Thiru Chenduran [1 ]
Mock, Thomas Steven [1 ]
Callahan, Damien L. [2 ]
Francis, David Scott [1 ]
机构
[1] Deakin Univ, Sch Life & Environm Sci, Nutr & Seafood Lab, NuSea Lab, Queenscliff, Vic, Australia
[2] Deakin Univ, Sch Life & Environm Sci, Burwood Campus, Melbourne 3125, Australia
关键词
Blanching; Seaweed; Ensemble models; Iodine; Arsenic; FATTY-ACIDS; SEAWEEDS; HEALTH; KELP; ZN; NI;
D O I
10.1016/j.foodcont.2024.110802
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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 degrees 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 degrees C for similar to 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 degrees 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.
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页数:9
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