The preparation and properties of bamboo lignocellulosic nanofibers based on deep eutectic solvent system

<p indent="0mm">In this study, by designing four lactic acid (LA)-based DES systems (DES1: 2-mercaptopropionic acid/LA; DES2: 3-mercaptopropionic acid/LA; DES3: L-alanine/LA; and DES4: L-cysteine/LA), a systematic study was carried out to investigate the mechanisms of the types of groups (–OH, –NH<sub>2</sub>, and –SH) and their steric effects on the pretreatment and preparation of lignocellulosic nanofibers (LCNF). The DES1, DES2, and DES4 systems, containing –SH groups, exhibited excellent separation ability during the pretreatment process, significantly enhancing the removal of lignin and hemicellulose while effectively retaining cellulose. Notably, the DES4 system demonstrated the best pretreatment effect due to the synergistic effect of the –NH<sub>2</sub> and –SH groups in L-cysteine, resulting in the highest LCNF yield, the best thermal stability, and good dispersion and stability of the LCNF. In contrast, the DES3 system showed an inferior pretreatment effect, lower LCNF yield, and performance, due to the alkaline property of the –NH<sub>2</sub> group that reduced the acidity of the system. Additionally, molecular dynamics simulations revealed the microscopic mechanism of interaction between hydrogen bonding properties (including the number of hydrogen bonds, bond angles, and bond lengths) and the interaction energies between the fibers and the pretreatment system, as well as the diffusion coefficients of the cellulose into DES systems.

Authors

Publication Details

Journal
Scientia Sinica Chimica
Published
2024-10-25
DOI
https://doi.org/10.1360/ssc-2024-0190
Primary Topic
Advanced Cellulose Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The preparation and properties of bamboo lignocellulosic nanofibers based on deep eutectic solvent system

Guohua Miao, Fanghan Ge, Sheng Chen, Feng Xu
Scientia Sinica Chimica
Advanced Cellulose Research Studies
article

The preparation and properties of bamboo lignocellulosic nanofibers based on deep eutectic solvent system

Guohua Miao, Fanghan Ge, Sheng Chen, Feng Xu
article en

Abstract

<p indent="0mm">In this study, by designing four lactic acid (LA)-based DES systems (DES1: 2-mercaptopropionic acid/LA; DES2: 3-mercaptopropionic acid/LA; DES3: L-alanine/LA; and DES4: L-cysteine/LA), a systematic study was carried out to investigate the mechanisms of the types of groups (–OH, –NH<sub>2</sub>, and –SH) and their steric effects on the pretreatment and preparation of lignocellulosic nanofibers (LCNF). The DES1, DES2, and DES4 systems, containing –SH groups, exhibited excellent separation ability during the pretreatment process, significantly enhancing the removal of lignin and hemicellulose while effectively retaining cellulose. Notably, the DES4 system demonstrated the best pretreatment effect due to the synergistic effect of the –NH<sub>2</sub> and –SH groups in L-cysteine, resulting in the highest LCNF yield, the best thermal stability, and good dispersion and stability of the LCNF. In contrast, the DES3 system showed an inferior pretreatment effect, lower LCNF yield, and performance, due to the alkaline property of the –NH<sub>2</sub> group that reduced the acidity of the system. Additionally, molecular dynamics simulations revealed the microscopic mechanism of interaction between hydrogen bonding properties (including the number of hydrogen bonds, bond angles, and bond lengths) and the interaction energies between the fibers and the pretreatment system, as well as the diffusion coefficients of the cellulose into DES systems.

Scientia Sinica ChimicaVol. 55(1)
Openalex Percentile: Top 91%
Advanced Cellulose Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.