Using Experimental Design and Response Surface Methodology to Optimize Nanocellulose Production from Two Types of Pretreated Soybean Straw
This study investigates how enzymatic activity (X1) and pretreated soybean straw concentration (X2) affect the production of cellulose nanofibers and reducing sugars using the Composite Central Rotational Design (CCRD). The soybean straw is subjected to alkaline pretreatment with either 5% NaOH (PT1...
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Veröffentlicht in: | Macromolecular chemistry and physics 2022-09, Vol.223 (18), p.n/a |
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Sprache: | eng |
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Zusammenfassung: | This study investigates how enzymatic activity (X1) and pretreated soybean straw concentration (X2) affect the production of cellulose nanofibers and reducing sugars using the Composite Central Rotational Design (CCRD). The soybean straw is subjected to alkaline pretreatment with either 5% NaOH (PT1) or 17.5% NaOH (PT2), followed by bleaching (4% H2O2) and enzymatic treatment. The mathematical model generated by Response Surface Methodology (RSM) predicts that increasing X1 and X2 simultaneously is necessary to increase the nanocellulose yield. On the other hand, to increase the sugar yield, it is necessary to increase the ratio X1:X2. The model also predicts that the lowest concentration of soybean straw (1.17%) resulted in more stable nanofiber suspensions, regardless of the enzyme activity (−25.0 and −19.4 mV for PT1 and PT2, respectively). The optimal condition for the simultaneous production of cellulose nanofibers and reducing sugars is 4.0 g of biomass and enzymatic activity of 600 CMCU, resulting for PT1 and PT2, respectively: 7.01 and 3.73 g of nanofibers/100 g of soybean straw; 11.34 and 14.30 g of reducing sugars/100 g of soybean straw. Therefore, the processing efficiency according to the pretreatment used can directly guide the production of cellulose nanofibers and reducing sugars.
Pretreated soybean straw concentration and enzymatic activity affect the production of cellulose nanofibers and reducing sugars. Composite Central Rotational Design 22 is considered an important statistical tool and is able to predict the optimal condition: 4.0 g of biomass and enzymatic activity of 600 CMCU with the production of 11–14% of reducing sugars and 3.7–7.0% of nanofiber concentration. |
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ISSN: | 1022-1352 1521-3935 |
DOI: | 10.1002/macp.202200050 |