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Towards reproducibility of traditional fermented sausages: Texture profile analyses and modelling
- Source :
- Chemical Industry and Chemical Engineering Quarterly, Vol 26, Iss 1, Pp 79-87 (2020)
- Publication Year :
- 2020
- Publisher :
- Association of the Chemical Engineers of Serbia, 2020.
-
Abstract
- The aim of this study was to investigate textural characteristics of three traditional dry fermented sausages (Sremski kulen, Lemeški kulen and Petrovská klobása) manufactured in different small-scale facilities in northern Serbia, and to correlate them with physicochemical and sensory characteristics. The sample sausages were supplied by different local traditional producers. The textural characteristics were correlated with physicochemical and sensory characteristics using multiple linear regression analysis and principal component analysis. Differences in physicochemical characteristics reflected even more notable differences in texture characteristics. Regarding regression equations, obtained results showed that moisture content was significant for hardness, springiness and cohesiveness. Hardness was also influenced by fat content, while chewiness was influenced by protein content. Principal component analysis separated samples of Petrovská klobása, as the group with the most reproducible analysed characteristics. Obtained results of statistical analyses should provide knowledge for possible improvements of the traditional production, in a way that these sausages could be produced in different facilities with consistent textural characteristics. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR31032 and Grant no. III44006]
- Subjects :
- pca
Reproducibility
Fat content
General Chemical Engineering
lcsh:TP155-156
Texture (geology)
mlr
Protein content
dry fermented sausage
Chewiness
Statistical analyses
Principal component analysis
Multiple linear regression analysis
Food science
lcsh:Chemical engineering
lcsh:HD9650-9663
texture analysis
Mathematics
lcsh:Chemical industries
Subjects
Details
- Language :
- English
- ISSN :
- 22177434 and 14519372
- Volume :
- 26
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Chemical Industry and Chemical Engineering Quarterly
- Accession number :
- edsair.doi.dedup.....d80971eb333de434c7b1af719ec6038a