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- aggregation classification "A1".
- aggregation creator B506710.
- aggregation creator B506711.
- aggregation creator B506712.
- aggregation creator B506713.
- aggregation creator B506714.
- aggregation creator B506715.
- aggregation creator B506716.
- aggregation creator B506717.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2008".
- aggregation hasFormat 671571.bibtex.
- aggregation hasFormat 671571.csv.
- aggregation hasFormat 671571.dc.
- aggregation hasFormat 671571.didl.
- aggregation hasFormat 671571.doc.
- aggregation hasFormat 671571.json.
- aggregation hasFormat 671571.mets.
- aggregation hasFormat 671571.mods.
- aggregation hasFormat 671571.rdf.
- aggregation hasFormat 671571.ris.
- aggregation hasFormat 671571.txt.
- aggregation hasFormat 671571.xls.
- aggregation hasFormat 671571.yaml.
- aggregation isPartOf urn:issn:1438-7697.
- aggregation language "eng".
- aggregation publisher "Wiley-VCH Verlag gmbh".
- aggregation subject "Chemistry".
- aggregation title "Optimization of industrial-scale deodorization of high-oleic sunflower oil via response surface methodology".
- aggregation abstract "Optimization of industrial-scale deodorization of high-oleic sunflower oil (HOSO) via response surface methodology is presented in this study. The results of an experimental program conducted on an industrial-scale deodorizer were analyzed statistically. Predictive models were derived for each of the oil quality indicators (QI) in dependence on the studied variable deodorization process parameters. The deodorization behavior of some minor components was analyzed on a pilot-scale deodorizer. For comparison, a similar experimental program was also performed on the laboratory-scale. The results of this study demonstrate that optimization of the deodorization process requires a suitable compromise between often mutually opposing demands dictated by different oil QI. The production of HOSO with top-quality organoleptic and nutritional values (high tocopherol and phytosterol contents and low free and trans fatty acid contents) and high oxidative stability demands deodorization temperatures in the range between 220 and 235 degrees C and a total sparge steam above 2.0% (wt/wt in oil). The response surface methodology provides the tools needed to identify the optimum deodorization process conditions. However, the laboratory-scale experiments, while showing similar response characteristics of QI in dependence on the process parameters and thus helpful as a guide, are of limited value in the optimization of an industrial-scale operation.".
- aggregation authorList BK850497.
- aggregation endPage "253".
- aggregation issue "3".
- aggregation startPage "245".
- aggregation volume "110".
- aggregation isDescribedBy 671571.
- aggregation similarTo ejlt.200700194.
- aggregation similarTo LU-671571.