A bootstrap approach for the reliable estimation of digestible starch fractions from digestograms

The estimation of confidence intervals for the rapidly (RDS) and slowly (SDS) digestible fractions is an important issue for assessing the nutritional characteristics of starch. Usually, the confidence interval estimation relies on a reduced number of experimental data, which may lead to unacceptabl...

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Bibliographic Details
Published in:Journal of food measurement & characterization 2024-06, Vol.18 (6), p.4558-4570
Main Authors: Vernon-Carter, E. J., Bello-Perez, L. A., Perez-Alonso, C., Alvarez-Ramirez, J.
Format: Article
Language:English
Subjects:
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Confidence intervals
Dry heat
Engineering
Experimental data
Food Science
Heat treatment
Heat treatments
Nutrition assessment
Original Paper
Starch
Statistical analysis
Statistical models
Uncertainty
Variance analysis
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Summary:The estimation of confidence intervals for the rapidly (RDS) and slowly (SDS) digestible fractions is an important issue for assessing the nutritional characteristics of starch. Usually, the confidence interval estimation relies on a reduced number of experimental data, which may lead to unacceptable uncertainties, and hence to misleading conclusions. This work proposed a bootstrap approach for the estimation of confidence intervals for digestible starch fractions. Based on experimental digestograms, the approach obtains many (hundreds or thousands) bootstrapped digestograms by carrying out sampling with replacement of the experimental data. A simple first-order exponential model is then used for the least-squares fit of the bootstrap digestograms, obtaining a reliable estimation of the statistical uncertainty of the model parameters. The fitted model is used to estimate the RDS and SDS fraction by reading out the fitted curves at 20 and 120 min. The distribution of these starch fractions is used to estimate the 95% confidence intervals and to carry out ANOVA ( p  
ISSN:2193-4126
2193-4134
DOI:10.1007/s11694-024-02514-w