Applications of ultrasound to enhance fluidized bed drying of Ascophyllum Nodosum: Drying kinetics and product quality assessment
Name:
1-s2.0-S1350417720309585-main.pdf
Size:
2.624Mb
Format:
PDF
Description:
main article
Citation
Xianglu Zhu, Zhihang Zhang, Laura M. Hinds, Da-Wen Sun, Brijesh K. Tiwari, Applications of ultrasound to enhance fluidized bed drying of Ascophyllum Nodosum: Drying kinetics and product quality assessment, Ultrasonics Sonochemistry, Volume 70, 2021, 105298, ISSN 1350-4177, https://doi.org/10.1016/j.ultsonch.2020.105298.Abstract
In this study, ultrasound either as a pretreatment technique or as an integrated technique was employed to enhance fluidized bed drying of Ascophyllum nodosum, and drying kinetics and dried product quality were assessed. In order to compare technology efficiency and dried product qualities, oven drying and fluidized bed drying (FBD) were employed. The novel drying methods included airborne ultrasound-assisted fluidized bed drying (AUA), ultrasound pre-treatment followed by FBD (USP), and hot water blanching pre-treatment followed byFBD (HWB). Six drying kinetics models were used to describe the drying curves, among which the Page model was the best in fitting USP and AUA. Model by Millidi et al. was employed to describe HWB. Airborne ultrasound in AUA did not reduce energy consumption or drying time, but retained total phenolic content (TPC) as well as colour, and exhibited the highest yield among the novel drying methods. USP and HWB showed lower energy consumption and drying time considerably, but the TPC was the lowest among the studied methods. At the same time, USP dried product exhibited the lowest aw, followed by HWB and then AUA. This studyalso demonstrated that FBD could be a very practical drying method on Irish brown seaweed, and ultrasound-assisted drying methods may have potential developments in Irish brown seaweed drying process.Funder
UCD-CSC Scholarship Scheme supported by University College Dublin (UCD) and China Scholarship Council (CSC)ae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.ultsonch.2020.105298
Scopus Count
Collections
The following license files are associated with this item:
- Creative Commons