A bio-inspired heterogeneous catalyst for the transformation of limonene from orange peel waste biomass into value-added products

2018 ◽  
Vol 302 ◽  
pp. 250-260 ◽  
Author(s):  
Jaime-Andrés Becerra ◽  
Lina-María González ◽  
Aída-Luz Villa
2020 ◽  
Vol 104 (11) ◽  
pp. 4757-4770 ◽  
Author(s):  
Wubliker Dessie ◽  
Xiaofang Luo ◽  
Meifeng Wang ◽  
Luya Feng ◽  
Yunhui Liao ◽  
...  

2021 ◽  
Vol 3 ◽  
Author(s):  
Vasanth Kumar Vaithyanathan ◽  
Hubert Cabana

Biosolids (BS) are organic dry matter produced from wastewater treatment plants (WWTPs). The current yearly worldwide production of BS is estimated to be around 100–125 million tons and is expected to continuously increase to around 150–200 million tons by 2025. Wastewater treatment industries across the globe strive to achieve a green and sustainable manufacturing base for the management of enormous amounts of municipal BS, which are rich in nutrients and organic dry matter along with contaminants. The management of these organic-rich wastes through environmentally friendly recovery technologies is a major challenge. The need to improve waste biomass disposal by biological development and develop more economically viable processes has led to a focus on the transformation of waste resources into value-added products (VAP). This paper assesses the leading disposal methods (based on volume and contaminant reduction) and reviews the state of biotechnological processes for VAP recovery from municipal wastewater sludge (untreated solid waste residual) and BS (stabilized solid waste which meets criteria for its use in land). A review of the anaerobic and aerobic digestion processes is presented to provide a holistic overview of this growing research field. Furthermore, the paper also sheds light on the pollutant reduction and resource recovery approaches for enzymes, bioflocculants, bioplastics, biopesticides, and biogas as a mean to represent BS as a potential opportunity for WWTPs. However, only a few technologies have been implemented for VAP resource recovery and a shift from WWTPs to waste resource recovery facilities is still far from being achieved.


Author(s):  
Ali Mohsin ◽  
Muhammad Hammad Hussain ◽  
Waqas Qamar Zaman ◽  
Muhammad Zubair Mohsin ◽  
Junhong Zhang ◽  
...  

2021 ◽  
Vol 11 (22) ◽  
pp. 10983
Author(s):  
Antonella Satira ◽  
Emilia Paone ◽  
Viviana Bressi ◽  
Daniela Iannazzo ◽  
Federica Marra ◽  
...  

In this study, a simple and green protocol to obtain hydrochar and high-added value products, mainly 5-hydroxymethylfurfural (5-HMF), furfural (FU), levulinic acid (LA) and alkyl levulinates, by using the hydrothermal carbonization (HTC) of orange peel waste (OPW) is presented. Process variables, such as reaction temperature (180–300 °C), reaction time (60–300 min), biomass:water ratio and initial pH were investigated in order to find the optimum conditions that maximize both the yields of solid hydrochar and 5-HMF and levulinates in the bio-oil. Data obtained evidence that the highest yield of hydrochar is obtained at a 210 °C reaction temperature, 180 min residence time, 6/1 w/w orange peel waste to water ratio and a 3.6 initial pH. The bio-products distribution strongly depends on the applied reaction conditions. Overall, 180 °C was found to be the best reaction temperature that maximizes the production of furfural and 5-HMF in the presence of pure water as a reaction medium.


2020 ◽  
Vol 21 (2) ◽  
pp. 80-95 ◽  
Author(s):  
Zeba Usmani ◽  
Minaxi Sharma ◽  
Surya Sudheer ◽  
Vijai K. Gupta ◽  
Rajeev Bhat

Agri-food waste biomass is the most abundant organic waste and has high valorisation potential for sustainable bioproducts development. These wastes are not only recyclable in nature but are also rich sources of bioactive carbohydrates, peptides, pigments, polyphenols, vitamins, natural antioxidants, etc. Bioconversion of agri-food waste to value-added products is very important towards zero waste and circular economy concepts. To reduce the environmental burden, food researchers are seeking strategies to utilize this waste for microbial pigments production and further biotechnological exploitation in functional foods or value-added products. Microbes are valuable sources for a range of bioactive molecules, including microbial pigments production through fermentation and/or utilisation of waste. Here, we have reviewed some of the recent advancements made in important bioengineering technologies to develop engineered microbial systems for enhanced pigments production using agrifood wastes biomass/by-products as substrates in a sustainable way.


2021 ◽  
Vol 8 (4) ◽  
pp. 1481-1528
Author(s):  
Sinhara M.H.D. Perera ◽  
Chathuranga Wickramasinghe ◽  
B.K.T. Samarasiri ◽  
Mahinsasa Narayana

Thermochemical processes, which include pyrolysis, torrefaction, gasification, combustion, and hydrothermal conversions, are perceived to be more efficient in converting waste biomass to energy and value-added products than biochemical processes. From the chemical point of view, thermochemical processes are highly complex and sensitive to numerous physicochemical properties, thus making reactor and process modeling more challenging. Nevertheless, the successful commercialization of these processes is contingent upon optimized reactor and process designs, which can be effectively achieved via modeling and simulation. Models of various scales with numerous simplifying assumptions have been developed for specific applications of thermochemical conversion of waste biomass. However, there is a research gap that needs to be explored to elaborate the scale of applicability, limitations, accuracy, validity, and special features of each model. This review study investigates all above mentioned important aspects and features of the existing models for all established industrial thermochemical conversion processes with emphasis on waste biomass, thus addressing the research gap mentioned above and presenting commercial-scale applicability in terms of reactor designing, process control and optimization, and potential ways to upgrade existing models for higher accuracy.


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