Rheological behavior of sour cherry juices concentrated by ohmic and conventional evaporation processes under vacuum


Sabanci S., İÇİER F.

JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2020 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası:
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1111/jfpp.14832
  • Dergi Adı: JOURNAL OF FOOD PROCESSING AND PRESERVATION

Özet

In this study, sour cherry juice was evaporated up to 65% total soluble solid content (TSSC) under vacuum (25 kPa) by ohmic-assisted vacuum evaporation (OAVE) and vacuum evaporation (VE). The effects of voltage gradients (10-14 V/cm) on the rheological behavior of sour cherry concentrates having different TSCC (30%-65%) were determined, and compared with those of VE. In general, the shear stress increased as the shear rate increased for all concentrations. Since the statistical error values of Power Law and Newton models were similar (p > .05), the most appropriate model describing the rheological behavior was chosen as Newton model being more nominative and mathematically simpler. The viscosity of concentrates (30%-65%) varied in the range of 0.003-0.119 Pa.s. The increase in the viscosity values depending on TSSC during evaporation was similar for both processes. Thus, OAVE could be beneficial alternative method to VE for the purpose of producing fruit juice concentrates having similar rheological properties. Practical applications It is an alternative evaporation method in the literature in recent years by integrating ohmic heating into the evaporation process. However, in order for the ohmic evaporation process to be an alternative, it is necessary to provide qualities of fruit juices similar to or better than the vacuum evaporation process. One of the most important features for the transportation of fruit juices in industrial transport lines is rheological properties. In this study, it is important to determine that the consistency of the product resulting from the use of ohmic heating support in evaporation does not differ from the conventional method. The data obtained in this publication will constitute an important data infrastructure for scaling OAVE operation to industrial systems as an alternative.