
doi: 10.1002/aic.16252
AbstractThe article introduces a detailed model for carbohydrate chemistry in kraft pulping. This article is continuation to the modeling work carried out for hot water extraction and chemical pulp bleaching. The model includes galactoglucomannan, xylan, and cellulose acid–base equilibria, in addition to peeling, stopping, and alkaline hydrolysis reactions of the same carbohydrates, as well as hexenuronic acid formation and degradation reactions. The Arrhenius parameters were applied from the literature or regressed against experimental data in the present study. The model is very successful in predicting the experimental data of carbohydrate reactions during kraft pulping. Many features of the pulping‐related model can be applied to specific fractionation chemistry considerations. The detailed knowledge on carbohydrates composition at any stage of pulping gives possibility for further development of biorefinery cases based on kraft pulping, such as biofuel and chemicals production.
mallintaminen, kemialliset reaktiot, ta220, carbohydrates, modeling, reaktiomekanismit, kraft pulping, massanvalmistus, reaction kinetics, SDG 7 - Affordable and Clean Energy, reaction mechanism, hiilihydraatit, ta116, ta215
mallintaminen, kemialliset reaktiot, ta220, carbohydrates, modeling, reaktiomekanismit, kraft pulping, massanvalmistus, reaction kinetics, SDG 7 - Affordable and Clean Energy, reaction mechanism, hiilihydraatit, ta116, ta215
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 22 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
