Broadband acoustic resonance dissolution spectroscopy as a rapid tool for the compositional analysis of food powders: A case study of edible salts.

Autor: Shoa P; Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran; Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands. Electronic address: pedram.shoa@ag.iut.ac.ir., Mireei SA; Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran. Electronic address: samireei@iut.ac.ir., Hemmat A; Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran. Electronic address: ahemmat@iut.ac.ir., Erasmus SW; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, the Netherlands. Electronic address: sara.erasmus@wur.nl., Van Ruth SM; Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands; Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, the Netherlands. Electronic address: saskia.vanruth@wur.nl.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2021 Jul 30; Vol. 351, pp. 129287. Date of Electronic Publication: 2021 Feb 15.
DOI: 10.1016/j.foodchem.2021.129287
Abstrakt: Broadband acoustic resonance dissolution spectroscopy (BARDS) is a novel method that can be used for the analysis of food-based powders, which are mainly characterized by their composition and particle morphology. This study aimed to evaluate BARDS for the compositional analysis of food powders. The changes in the BARDS spectra due to the changes in composition and particle morphology of fifteen salt mixtures (constituting of NaCl, KCl, and MgCl 2 ) in five particle size ranges were comprehensively studied. Moreover, different regression methods were utilized to estimate each mixture component content. The results revealed that the average time-frequency spectra of each mixture in a certain particle size class were highly distinct and allowed discrimination from others. The unique spectra of each salt mixture originated from the specific dissolution rate and degassing effect of each constitutive compound. Finally, the accurate prediction of each mixture component content confirmed the consistency and efficiency of the method.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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