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2020, vol. 47, iss. 2, pp. 175-187
Modeling of mushrooms (Agaricus bisporus) osmotic dehydration process in sugar beet molasses
aUniversity of Novi Sad, Faculty of Technology, Serbia
bInstitute for Food Technology, Novi Sad, Serbia

emaildanijela.pejic@uns.ac.rs
Project:
Osmotic dehydration of food - energy and ecological aspects of sustainable production (MESTD - 31055)

Keywords: mineral composition; water loss; solid gain; microbiological load; chemical composition
Abstract
Mushrooms (Agaricus bisphorus) were osmotically dehydrated in sugar beet molasses solutions at concentrations of 60%, 70% and 80%d.m., at operating temperatures of 25 °C, 35 °C and 45 °C during 0.5h, 1h, 1.5h, 2h, 3h, and 5 hours. Moisture content, water activity (aw), microbiological parameters (total plate counts, Enterobacteriaceae, total yeasts and moulds count) and content of mineral elements (potassium, magnesium, iron and calcium) were determined in the osmodehydrated mushroom samples. Response surface methodology and analysis of variance were selected to estimate the main effects of the process variables (temperature, time, concentration) on process performance and selected mushroom attributes (microbiological counts, chemical composition and mineral content). Increase in the values of applied osmotic process parameters led to the significant increase in the content of minerals (for example, an increase in K and Ca content by 269.42% and 939.03%, respectively) and a decrease in aw values (from 0.941 to 0.811), decrease in microbiological load and relative protein content (decrease by 33.07%), indicating a possibility for prolonged shelf life and suitability for further processing. The osmodehydrated mushrooms could be considered as ingredients for new functional (semi)products due to improved nutritive profile.
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About

article language: English
document type: Original Paper
DOI: 10.5937/ffr47-28436
received: 16/09/2020
revised: 08/12/2020
accepted: 10/12/2020
published online: 15/12/2020
published in SCIndeks: 19/01/2021
peer review method: single-blind
Creative Commons License 4.0

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