Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
Bioresour Technol ; 310: 123372, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32312596

ABSTRACT

Lignocellulosic biomass (LCB) is well suited to address present day energy and environmental concerns, since it is abundant, environmentally benign and sustainable. However, the commercial application of LCB has been limited by its recalcitrant structure. To date, several biomass pretreatment systems have been developed to address this major bottleneck but have shown to be toxic and costly. Alkali and metal salt pretreatment regimes have emerged as promising non-toxic and low-cost treatments. This paper examines the progress made in lignocellulosic pretreatment using alkali and metal salts. The reaction mechanism of alkali and metal chloride salts on lignocellulosic biomass degradation are reviewed. The effect of salt pretreatment on lignin removal, hemicellulose solubilization, cellulose crystallinity, and physical structural changes are also presented. In addition, the enzymatic digestibility and inhibitor profile from salt pretreated lignocellulosic biomass are discussed. Furthermore, the challenges and future prospects on lignocellulosic pretreatment and bioethanol production are highlighted.


Subject(s)
Alkalies , Biofuels , Biomass , Hydrolysis , Lignin , Metals
2.
Biotechnol Rep (Amst) ; 22: e00329, 2019 Jun.
Article in English | MEDLINE | ID: mdl-31008065

ABSTRACT

This study examines the kinetics of S. cerevisiae BY4743 growth and bioethanol production from sugarcane leaf waste (SLW), utilizing two different optimized pretreatment regimes; under two fermentation modes: steam salt-alkali filtered enzymatic hydrolysate (SSA-F), steam salt-alkali unfiltered (SSA-U), microwave salt-alkali filtered (MSA-F) and microwave salt-alkali unfiltered (MSA-U). The kinetic coefficients were determined by fitting the Monod, modified Gompertz and logistic models to the experimental data with high coefficients of determination R2 > 0.97. A maximum specific growth rate (µ max ) of 0.153 h-1 was obtained under SSA-F and SSA-U whereas, 0.150 h-1 was observed with MSA-F and MSA-U. SSA-U gave a potential maximum bioethanol concentration (Pm) of 31.06 g/L compared to 30.49, 23.26 and 21.79 g/L for SSA-F, MSA-F and MSA-U respectively. An insignificant difference was observed in the µ max and P m for the filtered and unfiltered enzymatic hydrolysate for both SSA and MSA pretreatments, thus potentially reducing a unit operation. These findings provide significant insights for process scale up.

3.
Bioresour Technol ; 273: 682-686, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30459117

ABSTRACT

This study developed two Artificial Neural Network (ANN) tools for predicting sugar yields from inorganic salt-based pretreatment of lignocellulosic biomass. Pretreatment data from 90 experimental runs with 8 different input conditions were used to develop a microwave-based and a steam-based model. Both models exhibited high coefficients of determination (R2) of 0.97. Knowledge extraction revealed reducing sugar yields from the steam- and microwave-based models exhibited high sensitivity to both salt and alkali concentration. These models may be employed as initial screening tools in lignocellulosic bioprocesses, thereby potentially enhancing the economic and productivity of lignocellulosic-based bioprocesses.


Subject(s)
Biomass , Lignin/metabolism , Sugars/metabolism , Hydrolysis , Microwaves , Neural Networks, Computer , Sodium Chloride/pharmacology , Steam
4.
Bioresour Technol ; 235: 35-42, 2017 Jul.
Article in English | MEDLINE | ID: mdl-28360018

ABSTRACT

This paper presents a method to pretreat sugarcane leaf waste using microwave-assisted (MA) inorganic salt to enhance enzymatic saccharification. The effects of process parameters of salt concentration, microwave power intensity and pretreatment time on reducing sugar yield from sugarcane leaf waste were investigated. Pretreatment models based on MA-NaCl, MA-ZnCl2 and MA-FeCl3 were developed with high coefficients of determination (R2 >0.8) and optimized. Maximum reducing sugar yield of 0.406g/g was obtained with 2M FeCl3 at 700W for 3.5min. Scanning electron microscopy (SEM), Fourier Transform Infrared analysis (FTIR) and X-ray diffraction (XRD) showed major changes in lignocellulosic structure after MA-FeCl3 pretreatment with 71.5% hemicellulose solubilization. This regime was further assessed on sorghum leaves and Napier grass under optimal MA-FeCl3 conditions. A 2-fold and 3.1-fold increase in sugar yield respectively were observed compared to previous reports. This pretreatment was highly effective for enhancing enzymatic saccharification of lignocellulosic biomass.


Subject(s)
Microwaves , Saccharum/chemistry , Biomass , Hydrolysis , Spectroscopy, Fourier Transform Infrared , X-Ray Diffraction
SELECTION OF CITATIONS
SEARCH DETAIL
...