scholarly journals Heterogeneous Strategies For Selective Conversion of Lignocellulosic Polysaccharides

Author(s):  
Zhengqiu Yuan ◽  
Wei Dai ◽  
Shenghong Zhang ◽  
Fengxin Wang ◽  
Jian Jian ◽  
...  

Abstract Lignocellulosic biomass is the most abundant renewable carbon resource on earth, for which many efforts have been made to convert it using various chemocatalytic processes. Heterogeneously chemocatalytic conversion conducted based on reusable solid catalysts is the process with the greatest potential studied presently. This review provides insights into the representative achievements in the research area of heterogeneous chemical catalysis technologies for the production of value-added chemicals from lignocellulosic polysaccharides (cellulose and hemicellulose). Popular approaches for the conversion of lignocellulosic polysaccharides into chemicals, including hydrolyzation (glucose, xylose and arabinose), dehydration (5-hydroxymethylfurfuran, furfural and levulinic acid), hydrogenation/hydrogenolysis (sorbitol, mannitol, xylitol, 1,2-propylene glycol, ethlyene glycol and ethanol), selective oxidation (gluconic acid and lactic acid), have been comprehensively reviewed. However, technological barriers still exist, which have to be overcome to further integrate hydrolysis with the refinery processes based on multifunctional solid catalysts, and convert ligncellulosic polysaccharides into value-added fine chemicals. In general, the approaches and technologies are discussed and critically evaluated in terms of the possibilities and potential for further industrial implementation.


Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1234
Author(s):  
Zhiwei Jiang ◽  
Di Hu ◽  
Zhiyue Zhao ◽  
Zixiao Yi ◽  
Zuo Chen ◽  
...  

Efficient conversion of renewable biomass into value-added chemicals and biofuels is regarded as an alternative route to reduce our high dependence on fossil resources and the associated environmental issues. In this context, biomass-based furfural and levulinic acid (LA) platform chemicals are frequently utilized to synthesize various valuable chemicals and biofuels. In this review, the reaction mechanism and catalytic system developed for the generation of furfural and levulinic acid are summarized and compared. Special efforts are focused on the different catalytic systems for the synthesis of furfural and levulinic acid. The corresponding challenges and outlooks are also observed.



2018 ◽  
Vol 42 (2) ◽  
pp. 1423-1430 ◽  
Author(s):  
Firdaus Parveen ◽  
Tanmoy Patra ◽  
Sreedevi Upadhyayula

The catalytic conversion of biomass-derived carbohydrates to value-added chemicals, such as 5-hydroxymethylfurfural, levulinic acid, and formic acid, is a commercially important reaction and requires the use of both Lewis and Bronsted acids.



2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ikbal Taleb ◽  
Mohamed Adel Serhani ◽  
Chafik Bouhaddioui ◽  
Rachida Dssouli

AbstractBig Data is an essential research area for governments, institutions, and private agencies to support their analytics decisions. Big Data refers to all about data, how it is collected, processed, and analyzed to generate value-added data-driven insights and decisions. Degradation in Data Quality may result in unpredictable consequences. In this case, confidence and worthiness in the data and its source are lost. In the Big Data context, data characteristics, such as volume, multi-heterogeneous data sources, and fast data generation, increase the risk of quality degradation and require efficient mechanisms to check data worthiness. However, ensuring Big Data Quality (BDQ) is a very costly and time-consuming process, since excessive computing resources are required. Maintaining Quality through the Big Data lifecycle requires quality profiling and verification before its processing decision. A BDQ Management Framework for enhancing the pre-processing activities while strengthening data control is proposed. The proposed framework uses a new concept called Big Data Quality Profile. This concept captures quality outline, requirements, attributes, dimensions, scores, and rules. Using Big Data profiling and sampling components of the framework, a faster and efficient data quality estimation is initiated before and after an intermediate pre-processing phase. The exploratory profiling component of the framework plays an initial role in quality profiling; it uses a set of predefined quality metrics to evaluate important data quality dimensions. It generates quality rules by applying various pre-processing activities and their related functions. These rules mainly aim at the Data Quality Profile and result in quality scores for the selected quality attributes. The framework implementation and dataflow management across various quality management processes have been discussed, further some ongoing work on framework evaluation and deployment to support quality evaluation decisions conclude the paper.



2022 ◽  
Vol 14 (2) ◽  
pp. 605
Author(s):  
Meththa Ranasinghe ◽  
Ioannis Manikas ◽  
Sajid Maqsood ◽  
Constantinos Stathopoulos

Date (Phoenix dactylifera L. Arecaceae) fruits and their by-products are rich in nutrients. The health benefits of dates and their incorporation into value-added products have been widely studied. The date-processing industry faces a significant sustainability challenge as more than 10% (w/w) of the production is discarded as waste or by-products. Currently, food scientists are focusing on bakery product fortification with functional food ingredients due to the high demand for nutritious food with more convenience. Utilizing date components in value-added bakery products is a trending research area with increasing attention. Studies where the researchers tried to improve the quality of bakery goods by incorporating date components have shown positive results, with several drawbacks that need attention and further research. The objective of this review is to present a comprehensive overview of the utilization of date components in bakery products and to identify gaps in the current knowledge. This review will help focus further research in the area of valorization of date by-products and thereby contribute to the generation of novel functional bakery products that meet consumer expectations and industry standards, thus generating income for the relevant industry and considerable alleviation of the environmental burden this waste and by-products contribute to. Only a few studies have been focused on utilizing date by-products and their extracts for baked goods, while a research area still remaining under-explored is the effect of incorporation of date components on the shelf life of bakery products.



2019 ◽  
Vol 380 ◽  
pp. 267-277 ◽  
Author(s):  
F. Bucciol ◽  
S. Tabasso ◽  
G. Grillo ◽  
F. Menegazzo ◽  
M. Signoretto ◽  
...  


2013 ◽  
Vol 291-294 ◽  
pp. 782-785 ◽  
Author(s):  
Jun Ping Zhuang ◽  
Chun Sheng Pang ◽  
Ying Liu

Levulinic acid (LA)is a highly versatile platform chemical that can be converted into a broad variety of value-added fuels and chemicals. LA can be produced from the botanic biomass by hydrolyzing. The aim of the present study is to investigate the conversion of glucose to LA by ZSM-5 zeolite catalyst for LA production and optimized to obtain the maximum yield of LA. The main experimental parameters are the amount of ZSM-5 zeolite added, reaction temperature, reaction time and concentration of glucose. The results showed that the optimization of the conversion of glucose to LA by ZSM-5 zeolite. An optimized LA yield was obtained at 190 °C for 2.5 h with 3 g ZSM-5 zeolite catalys and the highest LA yield was 69. 32%.



2020 ◽  
Vol 44 (38) ◽  
pp. 16452-16460
Author(s):  
Arpita Hazra Chowdhury ◽  
Ipsita Hazra Chowdhury ◽  
Surajit Biswas ◽  
Pekham Chakrabortty ◽  
Sk. Manirul Islam

We have described a facile solvothermal synthesis of sheet-like α-Ti(HPO4)2·H2O nanomaterial and its application in heterogeneous catalysis to synthesize fine chemicals like urea, levulinic acid and alkyl levulinates.



2015 ◽  
Vol 4 (4) ◽  
pp. 334-339 ◽  
Author(s):  
Lei Wang ◽  
Yubo Ma ◽  
Shaojun Qing ◽  
Zhixian Gao ◽  
Wumanjiang Eli ◽  
...  


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