Effect of particle size distribution on the in vitro digestion of calcium alginate‐starchy model foods

Abstract

The aim of this study was to investigate through the use of Weibull and Multiscale kinetics models the effect of different particle size distributions on starch hydrolysis during in vitro digestion of calcium alginate filled with gelatinized potato starch as model foods. Three-different model foods (calcium alginate and gelatinized starch with a without alginate beads) were used. Three particle size distributions by applying the amount of 5, 10, and 15 compression cycles were generated and characterized by Rosin-Rammler model. The different particle distributions were in vitro digested and starch hydrolysis was quantified. The results showed significant differences (p > .05) between the three particle size distributions. In general, the particle size affected the starch hydrolysis, but structured model food produced a lower hydrolysis (~73%) compared to nonstructured food (>90%). These results also showed that incorporation of beads played an important role in modulating starch hydrolysis. The Weibull-model (R 2 > 0.95) and Multiscale kinetics-model (R 2 > 0.98) were fitted to starch hydrolysis curves. The parameters of both models were able to explain the hydrolysis behavior for the different kind of structures and particle size distributions studied. This study showed that particle size distribution or incorporation of small beads can determine the starch hydrolysis during in vitro digestion. Practical applicationThe chewing process has as main objective to reduce the food to small particles.These particles have a size distribution which will be dependent on the number of chewing cycles that are applied. This distribution can be determinant in the following step of digestion, especially at the intestinal level where carbohydrate hydrolysis mainly occurs. The results showed how food structuring can affect the particle size distributions with the consequent of modulating starch hydrolysis during in vitro digestion of gelatinized potato starch. Certainly, this study, beyond presenting a way to simulate the chewing process, showed the importance to consider a method to produce a particle size distribution which can impact on nutrient release. Finally, for food industry could be useful to have information about how the particle size affect the amount of nutrients that can be obtained from the food, mainly to be informed to consumers into the nutrition facts.

Homogeneities in in vitro starch digestion of compositionally heterogenous white wheat breads

“…The Weibull model This is a four-parameter model that incorporates a shape factor, β, to the three parameters described above for the other models. Possibly at the borders of mono-and bi-phasic digestograms, the model and its variants have been used (Nguyen & Sopade, 2018;Ramıŕez et al, 2019;Barua et al, 2021b;Mahajan et al, 2022) to describe monophasic digestograms:…”

A procedure for determining the number and pattern of digestible starch fractions in multiphasic food digestograms

“…producing many sets of parameters with close fittng coefficients). 16 In terms of criterion (i) as mentioned above, a R 2 > 0.99 was selected in the current study depending on a preliminary check with our experimental data, while it is also possible to use a lower R 2 value to better fit experimental data with higher experimental errors. Considering that increasing the number of model parameters almost always improves the goodness of the fit, the criterion (ii) was achieved by applying the 'Akaike information criterion for a small sample size' (AICc) method, with a formula of AICc =n× ln RSS n 21 Here, n is the sample size (i.e.…”

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