A multiscale kinetics model for the analysis of starch amylolysis

L. A. Bello-Perez, E. Agama-Acevedo, D. E. Garcia-Valle, J. Alvarez-Ramirez

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

© 2018 Elsevier B.V. Simple exponential decaying functions are commonly used for fitting the kinetics of starch digested by amylolytic enzymes. A common assumption is that a sole exponential function can account for the kinetics of the whole digestible starch. Recent studies using logarithm-of-slope (LOS) plots showed that digestion kinetics can exhibit multi-scale behavior, an effect reflecting starch fractions with different digestion characteristics. This work proposed an extension of the widely used Goñi et al.'s model to account for two starch fractions; one fraction linked with fast digestion rate and other with slow digestion rates. The fitting of experimental data was carried out by solving numerically a nonlinear least-squares problem. The estimated parameters have a straightforward interpretation in terms of reaction rates and digestible/resistant starch fractions. Two experimental examples were used for illustrating the performance of the multi-exponential function.
Original languageAmerican English
Pages (from-to)405-409
Number of pages364
JournalInternational Journal of Biological Macromolecules
DOIs
StatePublished - 1 Feb 2019

Fingerprint

Starch
Digestion
Exponential functions
Kinetics
Enzyme kinetics
Least-Squares Analysis
Reaction rates
Enzymes

Cite this

Bello-Perez, L. A. ; Agama-Acevedo, E. ; Garcia-Valle, D. E. ; Alvarez-Ramirez, J. / A multiscale kinetics model for the analysis of starch amylolysis. In: International Journal of Biological Macromolecules. 2019 ; pp. 405-409.
@article{1c7e5d3cebae436fa5337231d0c9d244,
title = "A multiscale kinetics model for the analysis of starch amylolysis",
abstract = "{\circledC} 2018 Elsevier B.V. Simple exponential decaying functions are commonly used for fitting the kinetics of starch digested by amylolytic enzymes. A common assumption is that a sole exponential function can account for the kinetics of the whole digestible starch. Recent studies using logarithm-of-slope (LOS) plots showed that digestion kinetics can exhibit multi-scale behavior, an effect reflecting starch fractions with different digestion characteristics. This work proposed an extension of the widely used Go{\~n}i et al.'s model to account for two starch fractions; one fraction linked with fast digestion rate and other with slow digestion rates. The fitting of experimental data was carried out by solving numerically a nonlinear least-squares problem. The estimated parameters have a straightforward interpretation in terms of reaction rates and digestible/resistant starch fractions. Two experimental examples were used for illustrating the performance of the multi-exponential function.",
author = "Bello-Perez, {L. A.} and E. Agama-Acevedo and Garcia-Valle, {D. E.} and J. Alvarez-Ramirez",
year = "2019",
month = "2",
day = "1",
doi = "10.1016/j.ijbiomac.2018.10.161",
language = "American English",
pages = "405--409",
journal = "International Journal of Biological Macromolecules",
issn = "0141-8130",
publisher = "Elsevier",

}

A multiscale kinetics model for the analysis of starch amylolysis. / Bello-Perez, L. A.; Agama-Acevedo, E.; Garcia-Valle, D. E.; Alvarez-Ramirez, J.

In: International Journal of Biological Macromolecules, 01.02.2019, p. 405-409.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - A multiscale kinetics model for the analysis of starch amylolysis

AU - Bello-Perez, L. A.

AU - Agama-Acevedo, E.

AU - Garcia-Valle, D. E.

AU - Alvarez-Ramirez, J.

PY - 2019/2/1

Y1 - 2019/2/1

N2 - © 2018 Elsevier B.V. Simple exponential decaying functions are commonly used for fitting the kinetics of starch digested by amylolytic enzymes. A common assumption is that a sole exponential function can account for the kinetics of the whole digestible starch. Recent studies using logarithm-of-slope (LOS) plots showed that digestion kinetics can exhibit multi-scale behavior, an effect reflecting starch fractions with different digestion characteristics. This work proposed an extension of the widely used Goñi et al.'s model to account for two starch fractions; one fraction linked with fast digestion rate and other with slow digestion rates. The fitting of experimental data was carried out by solving numerically a nonlinear least-squares problem. The estimated parameters have a straightforward interpretation in terms of reaction rates and digestible/resistant starch fractions. Two experimental examples were used for illustrating the performance of the multi-exponential function.

AB - © 2018 Elsevier B.V. Simple exponential decaying functions are commonly used for fitting the kinetics of starch digested by amylolytic enzymes. A common assumption is that a sole exponential function can account for the kinetics of the whole digestible starch. Recent studies using logarithm-of-slope (LOS) plots showed that digestion kinetics can exhibit multi-scale behavior, an effect reflecting starch fractions with different digestion characteristics. This work proposed an extension of the widely used Goñi et al.'s model to account for two starch fractions; one fraction linked with fast digestion rate and other with slow digestion rates. The fitting of experimental data was carried out by solving numerically a nonlinear least-squares problem. The estimated parameters have a straightforward interpretation in terms of reaction rates and digestible/resistant starch fractions. Two experimental examples were used for illustrating the performance of the multi-exponential function.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055912793&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85055912793&origin=inward

U2 - 10.1016/j.ijbiomac.2018.10.161

DO - 10.1016/j.ijbiomac.2018.10.161

M3 - Article

SP - 405

EP - 409

JO - International Journal of Biological Macromolecules

JF - International Journal of Biological Macromolecules

SN - 0141-8130

ER -