Hemashini, Tannimalay and Lee, Chee Keong and Goh, Choon Fu and Tye, Ying Ying and Ismayati, Maya and H’ng, Yin Ying and Leh, Cheu Peng (2024) Elucidating the Correlation of Lignocellulosic Compositions and Physicochemical Alterations in Oil Palm (Elaeis guineensis) Biomass on Enzymatic Saccharification Yield. BioEnergy Research, 17 (3). pp. 1612-1630. ISSN 1939-1234, 1939-1242
Full text not available from this repository. (Request a copy)Abstract
This study investigates the correlation between both the chemical compositions and physicochemical properties of pretreated oil palm empty fruit bunch (OPEFB) fibre and their enzymatic saccharification/total glucose yield (TGY). Twenty OPEFB samples, pretreated with various aqueous pretreatments, with diverse cellulose (25.63–44.23%), hemicellulose (0.01–42.49%), and lignin (3.7–47.1%) levels, were examined for their correlation with TGY (8.5–40%). The quadratic regression model was verified significant (p-value = 0.0006, R2 = 0.8006). It was found that the pre-refined OPEFB experienced greater cellulose loss (35%) compared to unrefined ones (9%), adversely affecting TGY. Among physicochemical properties analysed using SEM, FTIR, XRD, Py-GCMS, and XPS, only crystallinity index (CrI) was significantly correlated with TGY based on theoretical glucose concentration (TGC) (R2 = 0.77, 0.91). Other characteristics (morphology, functional groups, crystallite size, S/G ratio, and O/C ratio) exhibited no significant correlation to saccharification efficiency, exhibiting random trends (R2 < 0.5). OPEFB fibres with CrI of 30–40 could achieve 100% TGY based on TGC. In conclusion, regardless of pretreatments, chemical compositions predominantly affected TGY in the enzymatic saccharification of biomass. Among commonly used physicochemical analytical methods, CrI is most significant in this evaluation and OPEFB should be unrefined before treatment to avoid cellulose loss.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Biomass alteration, Chemical composition, Crystallinity index, Correlation model, lucose yield, Instrumental analysis |
| Subjects: | Energy Agriculture & Food |
| Depositing User: | Defryan Aprisandani |
| Date Deposited: | 10 Sep 2026 07:42 |
| Last Modified: | 10 Sep 2026 07:42 |
| URI: | https://karya.brin.go.id/id/eprint/60321 |


Dimensions
Dimensions