Comparison of different models for analyzing starch dynamic hydrolysis
Dynamic hydrolysis is an important property of starch, and hydrolysis parameters can provide information on starch qualities and applications in food and nonfood industries. The modified Michaelis-Menten equation (MME), single first-order kinetics equation (SKE), log of slope linear equation (LOSLE)...
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Elsevier
2025-06-01
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| Series: | Food Hydrocolloids for Health |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667025925000068 |
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| author | Yuzhi Han Cunxu Wei |
| author_facet | Yuzhi Han Cunxu Wei |
| author_sort | Yuzhi Han |
| collection | DOAJ |
| description | Dynamic hydrolysis is an important property of starch, and hydrolysis parameters can provide information on starch qualities and applications in food and nonfood industries. The modified Michaelis-Menten equation (MME), single first-order kinetics equation (SKE), log of slope linear equation (LOSLE), or combination of parallel and sequential first-order kinetics equation (CPSKE) models are usually used to fit the dynamic hydrolysis data. In this study, the hydrolysis profiles of five starches were fitted by the MME, SKE, LOSLE and CPSKE models. The fits of the different models were evaluated using the sum of squares of residuals (SUMSQ), the fitting determination coefficient (R2), and the differences between the experimental and fitted data. When tested on the five starches, CPSKE model exhibited the best fit, LOSLE model had a better fit than did MME model, and SKE model had the poorest fit among them. Although these models had significantly different fitting qualities, the maximum extent of hydrolysis predicted by the different models was significantly positively correlated. The hydrolysis rate coefficient k fitted by the SKE model was significantly positively correlated with the k1 fitted by the LOSLE and CPSKE models, but had no significant correlation with k2 during phase 2 as fitted by the LOSLE and CPSKE models. The k1 and k2 values fitted by the LOSLE model were significantly positively correlated with the k1 and k2 parameters estimated by CPSKE model, respectively. This study could provide useful information for choosing fitting models for analyzing starch hydrolysis profiles. |
| format | Article |
| id | doaj-art-3b394647a95d4edb976e6b53b479a7e1 |
| institution | Kabale University |
| issn | 2667-0259 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Food Hydrocolloids for Health |
| spelling | doaj-art-3b394647a95d4edb976e6b53b479a7e12025-01-26T05:05:14ZengElsevierFood Hydrocolloids for Health2667-02592025-06-017100200Comparison of different models for analyzing starch dynamic hydrolysisYuzhi Han0Cunxu Wei1Key Laboratory of Crop Genetics and Physiology of Jiangsu Province / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, ChinaCo-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province / Joint International Research Laboratory of Agriculture & Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou 225009, China; Corresponding author.Dynamic hydrolysis is an important property of starch, and hydrolysis parameters can provide information on starch qualities and applications in food and nonfood industries. The modified Michaelis-Menten equation (MME), single first-order kinetics equation (SKE), log of slope linear equation (LOSLE), or combination of parallel and sequential first-order kinetics equation (CPSKE) models are usually used to fit the dynamic hydrolysis data. In this study, the hydrolysis profiles of five starches were fitted by the MME, SKE, LOSLE and CPSKE models. The fits of the different models were evaluated using the sum of squares of residuals (SUMSQ), the fitting determination coefficient (R2), and the differences between the experimental and fitted data. When tested on the five starches, CPSKE model exhibited the best fit, LOSLE model had a better fit than did MME model, and SKE model had the poorest fit among them. Although these models had significantly different fitting qualities, the maximum extent of hydrolysis predicted by the different models was significantly positively correlated. The hydrolysis rate coefficient k fitted by the SKE model was significantly positively correlated with the k1 fitted by the LOSLE and CPSKE models, but had no significant correlation with k2 during phase 2 as fitted by the LOSLE and CPSKE models. The k1 and k2 values fitted by the LOSLE model were significantly positively correlated with the k1 and k2 parameters estimated by CPSKE model, respectively. This study could provide useful information for choosing fitting models for analyzing starch hydrolysis profiles.http://www.sciencedirect.com/science/article/pii/S2667025925000068StarchDynamic hydrolysis analysisSingle first-order kinetics equationLog of slope linear equationCombination of parallel and sequential first-order kinetics equation |
| spellingShingle | Yuzhi Han Cunxu Wei Comparison of different models for analyzing starch dynamic hydrolysis Food Hydrocolloids for Health Starch Dynamic hydrolysis analysis Single first-order kinetics equation Log of slope linear equation Combination of parallel and sequential first-order kinetics equation |
| title | Comparison of different models for analyzing starch dynamic hydrolysis |
| title_full | Comparison of different models for analyzing starch dynamic hydrolysis |
| title_fullStr | Comparison of different models for analyzing starch dynamic hydrolysis |
| title_full_unstemmed | Comparison of different models for analyzing starch dynamic hydrolysis |
| title_short | Comparison of different models for analyzing starch dynamic hydrolysis |
| title_sort | comparison of different models for analyzing starch dynamic hydrolysis |
| topic | Starch Dynamic hydrolysis analysis Single first-order kinetics equation Log of slope linear equation Combination of parallel and sequential first-order kinetics equation |
| url | http://www.sciencedirect.com/science/article/pii/S2667025925000068 |
| work_keys_str_mv | AT yuzhihan comparisonofdifferentmodelsforanalyzingstarchdynamichydrolysis AT cunxuwei comparisonofdifferentmodelsforanalyzingstarchdynamichydrolysis |