A statistical approach to predict the sterilization value for canned olives


Guldas M. , Gonenc S., GÜRBÜZ O.

JOURNAL OF FOOD PROCESS ENGINEERING, vol.31, no.3, pp.299-316, 2008 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 3
  • Publication Date: 2008
  • Doi Number: 10.1111/j.1745-4549.2007.00197.x
  • Title of Journal : JOURNAL OF FOOD PROCESS ENGINEERING
  • Page Numbers: pp.299-316

Abstract

It is essential that sterilization values be calculated through measurements of temperature from the coldest point of the can during thermal sterilization. However, in practice, the taking of such measurements in an operating food plant can be quite difficult because of time restrictions, and the number of thermocouples and measurements required. For this reason, it is necessary to develop a more convenient way of estimating F values that uses experimental methods through multiple regression models. The distribution of F values and the correlation between the retort temperature and the cold spot temperature of the can were taken into consideration using statistical methods. The estimated results were calculated with very low SD.