| Literature DB >> 35540489 |
Wei Liu1,2, Wei Chen1,2, Qingxi Hou1, Si Wang1, Fang Liu1.
Abstract
An efficient enzymatic hydrolysis of lignocellulosic biomass into fermentable sugars depends greatly on the pretreatment of raw materials. In this study, a combination of dilute acid pre-extraction and chemical-assisted mechanical refining was used to pretreat wood lignocellulosic biomass for subsequent enzymatic hydrolysis. This work analyzed the surface lignin concentration, specific surface area, crystallinity, fines content, fiber length, and kink index of the resultant pulp substrates and their effects on the enzymatic hydrolysis. The results showed that the combined pretreatment significantly enhanced the enzymatic hydrolysis efficiency, and the maximum glucose conversion yield and glucose concentration were 93.32% and 21.41 g L-1, respectively. It is found that the surface lignin concentration, specific surface area, and fines content significantly affected the enzymatic hydrolysis. This journal is © The Royal Society of Chemistry.Entities:
Year: 2018 PMID: 35540489 PMCID: PMC9078831 DOI: 10.1039/c7ra12732d
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 3.361
The main chemical compositions of pre-hydrolysates (based on o.d. raw material)
| Temperature (°C) | 120 | 150 | 150 | 150 | 150 |
| Time (min) | 30 | 20 | 40 | 60 | 80 |
| SF | 2.07 | 2.77 | 3.07 | 3.25 | 3.38 |
| Glucose (%) | 0.09 ± 0.01 | 0.22 ± 0.01 | 0.33 ± 0.00 | 0.54 ± 0.09 | 0.45 ± 0.02 |
| Xylose (%) | 0.17 ± 0.00 | 1.98 ± 0.01 | 4.35 ± 0.01 | 5.95 ± 0.05 | 6.92 ± 0.03 |
| Arabinose (%) | 0.11 ± 0.00 | 0.15 ± 0.04 | 0.18 ± 0.00 | 0.19 ± 0.01 | 0.20 ± 0.00 |
| Acetic acid (%) | ND | 0.61 ± 0.02 | 1.73 ± 0.98 | 1.54 ± 0.58 | 2.10 ± 0.14 |
| Furfural (%) | 0.03 ± 0.00 | 0.09 ± 0.01 | 0.14 ± 0.00 | 0.18 ± 0.01 | 0.26 ± 0.00 |
| HMF (%) | ND | ND | 0.01 ± 0.00 | 0.01 ± 0.00 | 0.01 ± 0.00 |
| Acid insoluble materials (%) | 0.50 ± 0.00 | 1.46 ± 0.01 | 1.72 ± 0.00 | 2.08 ± 0.00 | 2.20 ± 0.01 |
| Acid soluble lignin (%) | 0.01 ± 0.00 | 0.22 ± 0.01 | 0.35 ± 0.00 | 0.46 ± 0.01 | 0.46 ± 0.03 |
| Sum (%) | 0.90 ± 0.01 | 4.73 ± 0.11 | 8.81 ± 0.99 | 10.95 ± 0.75 | 12.60 ± 0.23 |
ND, not detected. Data are presented as means of ±SDs of 3 replicates.
Fig. 1The main chemical compositions of pulp substrates.
Fig. 2Effects of combined pretreatment on pulp substrates' enzymatic hydrolysis.
Fig. 3Effects of combined pretreatment on specific surface area (SSA), surface lignin concentration (SLC) and CrI of pulp substrates.
Fig. 4SEM images of the pulp substrates at different acid pre-extraction intensities ((a), control; (b), SF of 3.07; (c), SF of 3.25; (d), SF of 3.38; left side, ×1000; right side, ×4000).
The fiber quality analysis of pulp substrates
| SF | Fines content (%) | Fiber length (mm) | Kink index |
|---|---|---|---|
| Control | 6.2 | 0.999 | 0.586 |
| 2.07 | 7.7 | 0.978 | 0.605 |
| 2.77 | 8.2 | 0.984 | 0.666 |
| 3.07 | 9.4 | 0.975 | 0.684 |
| 3.25 | 8.4 | 0.97 | 0.695 |
| 3.38 | 7.9 | 0.964 | 0.772 |
The mathematical models of the conversion yield of cellulose to glucose and enzymatic hydrolysis time
| SF | Parameters of regression equation | Results of ANOVA | Value of definite integral | |||||
|---|---|---|---|---|---|---|---|---|
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| Control | 7.158 | 0.8344 | 40.003 | 0.0395 | 0.9968 | 430.0393 | <0.0001 | 2433.213 |
| 2.07 | 26.547 | 0.9579 | 36.922 | 0.0371 | 0.9969 | 589.2081 | <0.0001 | 3615.668 |
| 2.77 | 26.046 | 0.9583 | 49.662 | 0.0343 | 0.9989 | 1740.351 | <0.0001 | 4098.407 |
| 3.07 | 27.753 | 1.8037 | 65.062 | 0.0476 | 0.9947 | 343.9759 | <0.0001 | 5344.855 |
| 3.25 | 30.48 | 1.0105 | 55.526 | 0.0362 | 0.9979 | 870.757 | <0.0001 | 4741.624 |
| 3.38 | 29.58 | 1.24 | 59.344 | 0.0267 | 0.99 | 174.4653 | <0.0001 | 4481.097 |
The significance test of the correlation coefficientsa
| Substrate characteristics |
| | | Effect type | Significance |
|---|---|---|---|---|
| Surface lignin concentration | 0.964 | 0.982 | N | ** |
| Fines content | 0.8144 | 0.902 | P | * |
| Specific surface area | 0.7804 | 0.883 | P | * |
| Fiber length | 0.6361 | 0.798 | N | |
| Kink index | 0.5174 | 0.719 | P | |
| CrI | 0.2923 | 0.541 | N | |
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N: negative; P: positive; ; ‘*’, significant; ‘**’, particularly significant.