Multivariate model to characterise relations between maize mutant starches and hydrolysis kinetics

Carbohydrate Polymers
Kamal KansouAgnès Rolland-Sabaté

Abstract

The many studies about amylolysis have collected considerable information regarding the contribution of the starch physico-chemical properties. But the inherent elaborate and variable structure of granular starch and, consequently, the multifactorial condition of the system hinders the interpretation of the experimental results. The immediate benefit of multivariate statistical analysis approaches with that regard is twofold: considering the factors, possibly interrelated, all together and not independently, providing a first estimation of the magnitude and confidence level of the relations between factors and amylolysis kinetic parameters. Based on data of amylolysis of 13 starch samples from wild type, single and double mutants of maize by porcine pancreatic α-amylase (PPA), a multivariate analysis is proposed. Amylolysis progress-curves were fitted by a Weibull function, as proposed in a previous work, to extract three kinetic parameters: the reaction rate coefficient during the first time-unit, k, the reaction rate retardation over time, h, and the final hydrolysis extent, X∞. Multivariate models relate the macromolecular composition and the fractions of crystalline polymorphic types to the kinetic parameters. h and X∞ are ...Continue Reading

References

Sep 8, 1998·International Journal of Biological Macromolecules·A BuléonS Ball
Sep 11, 2003·Biotechnology and Bioengineering·Priit VäljamäeGunnar Johansson
Nov 14, 2006·Biomacromolecules·Genyi ZhangBruce R Hamaker
Sep 23, 1988·Science·R Kopelman
Nov 3, 2010·Biomacromolecules·Jaroslav Blazek, Elliot Paul Gilbert
Apr 7, 2015·Carbohydrate Polymers·Kamal KansouAgnès Rolland-Sabaté

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Citations

Sep 1, 2018·Comprehensive Reviews in Food Science and Food Safety·Giang T Nguyen, Peter A Sopade
Jan 19, 2016·International Journal of Biological Macromolecules·Lanlan HuHuanxin Zhang

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