期刊
JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY
卷 -, 期 -, 页码 -出版社
SOC BRASILEIRA QUIMICA
DOI: 10.21577/0103-5053.20220105
关键词
chemical modification; factorial design; natural polymer; polysaccharide; physical-chemical characterization
资金
- Coordenacao de Aperfeicoamento de Nivel Superior (CAPES)
- Conselho Nacional de Desenvolvimento Cientifico Tecnologico (CNPq)
- Instituto Nacional de Ciencia e Tecnologia em Materiais Complexos Funcionais (INOMAT)
This study evaluated the effects of different parameters on the properties of starch. The results showed that the volume and temperature of GMA had an impact on the DS and X-c, and their correlation increased the DS and Xc. Higher temperatures also favored hydrolysis. Although parameter correlations did not have a significant effect on the assessed properties, they changed the effect of individual parameters.
Chemical modification reactions are viable alternatives for improving the properties of starch because they allow the insertion of molecules that change the original behavior of the polymer. Glycidyl methacrylate (GMA) is an example of a vinylic molecule added to starch to decrease its hydrophilicity and improve mechanical properties. This modification reaction is affected by parameters like the volume of the modifier, time, and temperature. Furthermore, the correlation between these parameters might change the response of an individual parameter on the degree of substitution (DS), crystallinity (X-c), and molecular-weight-related parameters. This work evaluated how these effects and their correlations would affect the DS, X-c, molecular weight, and the polydispersity index (PDI) of starch. The results suggested that, while higher volumes of GMA and temperatures decreased the DS and X-c, the correlation between them increased the DS by 2.47, and Xc by 1.25. On the other hand, higher temperatures also favored the occurrence of hydrolysis. Also, although none of the parameter correlations had a significant effect on the assessed properties (at 95%), the statistical analysis confirmed that the correlation between two parameters changed the effect of individual parameters.
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