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Intensification of Low-Temperature Drying of Mushroom by Means of Power Ultrasound: Effects on Drying Kinetics and Quality Parameters

  • Francisca Vallespir
  • Laura Crescenzo
  • Óscar Rodríguez
  • Francesco Marra
  • Susana SimalEmail author
Original Paper
  • 30 Downloads

Abstract

The aim of this study was to assess the effects of ultrasonic assistance on low-temperature drying of mushroom. For this purpose, mushroom caps slices drying kinetics at 5, 10, and 15 °C without and with ultrasound application (at 20.5 kW/m3) were analyzed, together with the dried product microstructure and some quality parameters (ergosterol and total polyphenol contents, antioxidant activity, color, hydration properties, and fat adsorption capacity). Ultrasound application promoted drying time reductions of 41% at 5 °C, 57% at 10 °C, and 66% at 15 °C, compared with drying without ultrasound. After drying at each temperature, mushroom microstructure presented remarkable tissue shrinkage. Moreover, when ultrasound was also applied, micro-channels were observed. When drying was carried out with ultrasound application, no significant (p ≥ 0.05) differences or significantly higher (p < 0.05) figures of quality parameters were observed, compared with drying without ultrasound application. Thus, mushroom drying process intensification was achieved by using ultrasound, particularly when drying at 15 °C since drying kinetics was enhanced and significantly (p < 0.05) smaller changes in all quality parameters were observed, compared with drying without ultrasound.

Keywords

Mushroom Low-temperature drying Ultrasound Microstructure Quality 

Nomenclature

A

Face area (m2)

BI

Browning index

De

Effective water diffusion coefficient (m2/s)

Do

Parameter in the effective diffusivity model (m2/s)

Ea

Activation energy (kJ/mol)

hm

External mass transfer coefficient (kg water/m2s)

L

Length (m)

n

Number of experimental data

MRE

Mean relative error (%)

R

Universal gas constant (J/mol·K)

Sx

Standard deviation (sample)

Syx

Standard deviation (estimation)

T

Temperature (°C)

Th

Thickness (m)

t

Time (h)

V

Sample volume (m3)

var

Percentage of explained variance (%)

W

Average moisture content (kg/kg d.m.)

x

Spatial coordinate (m)

ρdm

Dry matter density (kg d.m./m3)

φ

Relative humidity

Subscripts

0

initial

drying air

cal

calculated

e

equilibrium at the surface

exp

experimental

Notes

Funding Information

The authors would like to acknowledge the financial support of the National Institute of Research and Agro-Food Technology (INIA) and co-financed with ERDF funds (RTA2015-00060-C04-03), the Balearic Government for the research project AAEE045/2017 co-financed with ERDF funds, and the Spanish Government (MINECO) for the BES-2013-064131 fellowship.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of ChemistryUniversity of the Balearic IslandsPalma de MallorcaSpain
  2. 2.Dipartimento di Ingegneria IndustrialeUniversità degli Studi di SalernoSalernoItaly

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