Integrated drying model of lychee as a function of temperature and relative humidity

© 2024 The Authors..

Drying is a universal method applied for food preservation. To date, several models have been developed to evaluate drying kinetics. In this study, lychee was dried employing a hot air dryer, and the drying kinetics was evaluated by comparing the Newtonian model, Henderson and Pabis model, Page model, and Logarithmic model. However, temperature and relative humidity, the key driving forces for drying kinetics, are not considered by these models. Thus, an integrated drying model, as a function of temperature and relative humidity, was developed to predict the hot air-drying kinetics and mass transfer phenomena of lychee followed by the calibration and validation of the model with independent experimental datasets. The model validation consisted of Nash- Sutcliffe model coefficient (E), coefficient of determination (R2) and index of agreement (d) and all of them were found close to 1 indicating perfect model fit. Besides, the developed model was applied for process optimization and scenario analysis. The drying rate constant was found as a function of temperature and relative humidity that was high at high temperature and low relative humidity. Interestingly, temperature showed a higher effect on the drying rate constant compared to relative humidity. Overall, the present study will open a new window to developing further drying model of lychee to optimize quality its quality parameters.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Heliyon - 10(2024), 7 vom: 15. Apr., Seite e28590

Sprache:

Englisch

Beteiligte Personen:

Ahmed, Shafaet [VerfasserIn]
Mozumder, Md Salatul Islam [VerfasserIn]
Zzaman, Wahidu [VerfasserIn]
Yasin, Md [VerfasserIn]
Das, Shuvo [VerfasserIn]

Links:

Volltext

Themen:

Drying kinetics
Journal Article
Mathematical model
Moisture ratio
Relative humidity
Temperature

Anmerkungen:

Date Revised 10.04.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.heliyon.2024.e28590

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370802683