Resource recovery and circular economy from organic solid waste using aerobic and anaerobic digestion technologies

Wainaina, Steven; Awasthi, Mukesh Kumar; Sarsaiya, Surendra; Chen, Hongyu; Singh, Ekta; Kumar, Avanish; Ravindran, B.; Awasthi, Sanjeev Kumar; Liu, Tao; Duan, Yumin; Kumar, Sunil; Zhang, Zengqiang; Taherzadeh, Mohammad J.

doi:10.1016/j.biortech.2020.122778

Cited by 381 publications

(113 citation statements)

References 124 publications

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“…In our specific case, the proper soft commodity price management (trading) could lead to non-dependent market decisions of several applications and sustainable projects. Examples of these are the circular consumption of soft commodities [25], the policy implementation of organic waste management in touristic places [26], or energy production with soft commodities' waste [27]. This means that, even if our first scope is the application of MS-GARCH models in commodity price trading, there are several indirect applications to non-financial situations such as these.…”

Section: Introductionmentioning

confidence: 99%

A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures

2020

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In the present paper we tested the use of Markov-switching Generalized AutoRegressive Conditional Heteroscedasticity (MS-GARCH) models and their not generalized (MS-ARCH) version. This, for active trading decisions in the coffee, cocoa, and sugar future markets. With weekly data from 7 January 2000 to 3 April 2020, we simulated the performance that a futures’ trader would have had, had she used the next trading algorithm: To invest in the security if the probability of being in a distress regime is less or equal to 50% or to invest in the U.S. three-month Treasury bill otherwise. Our results suggest that the use of t-student Markov Switching Component ARCH Model (MS-ARCH) models is appropriate for active trading in the cocoa futures and the Gaussian MS-GARCH is appropriate for sugar. For the specific case of the coffee market, we did not find evidence in favor of the use of MS-GARCH models. This is so by the fact that the trading algorithm led to inaccurate trading signs. Our results are of potential use for futures’ position traders or portfolio managers who want a quantitative trading algorithm for active trading in these commodity futures.

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Section: Introductionmentioning

confidence: 99%

A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures

2020

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“…Among these carbon sources, volatile fatty acids (VFAs) are studied in the biotechnology field, since they are inexpensive and easily available. The use of the by-products issued from the fermentation bioprocesses could also increase the circularity of the bioindustry (3)(4)(5). Since acetic acid is the most abundant VFA resulting from the fermentation processes, its assimilation has been broadly studied (6)(7)(8)(9)(10)(11)(12).…”

mentioning

confidence: 99%

Photoheterotrophic Assimilation of Valerate and Associated Polyhydroxyalkanoate Production by Rhodospirillum rubrum

Bayon-Vicente

Zarbo

Deutschbauer

et al. 2020

Appl Environ Microbiol

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Purple non-sulfur bacteria are increasingly regarded for industrial applications in bioplastics, pigment and biomass production. In order to optimize the yield of future biotechnological processes, the assimilation of different carbon sources by Rhodospirillum rubrum (Rs. rubrum) has to be understood. As they are released from several fermentation processes, volatile fatty acids (VFAs) represent a promising carbon source in the development of circular industrial applications. To obtain an exhaustive characterization of the photoheterotrophic metabolism of Rs. rubrum in the presence of valerate, we combined phenotypic, proteomic and genomic approaches. We obtained evidence that valerate is cleaved into acetyl-CoA and propionyl-CoA and depends on the presence of bicarbonate ions. Genomic and enzyme inhibition data showed that a functional methylmalonyl-CoA pathway is essential. Our proteomic data showed that the photoheterotrophic assimilation of valerate induces an intracellular redox stress which is accompanied by an increased abundance of phasins (the main proteins present in PHA granules). Finally, we observed a significant increase in the production of the copolymer P(HB-co-HV) presenting an outstanding (more than 80%) percentage of HV monomer. Moreover, an increase in the PHA content was obtained when bicarbonate ions were progressively added to the medium. The experimental conditions used in this study suggest that the redox imbalance is responsible for PHA production. These findings also reinforce the idea that PNSB are suitable for PHA production through another strategy than the well-known feast and famine process. Importance The use and the littering of plastics represent major issues that humanity has to face. Polyhydroxyalkanoates (PHAs) are good candidates for the replacement of oil-based plastics as they exhibit comparable physicochemical properties but are biobased and biodegradable. However, the current industrial production of PHAs is curbed by the production costs, which are mainly linked to the carbon source. Volatile fatty acids issued from the fermentation processes constitute interesting carbon sources as they are cheap and easily available. Among them, valerate is gaining interest regarding the ability of many bacteria to produce a copolymer of PHAs. Here, we describe the photoheterotrophic assimilation of valerate by Rhodospirillum rubrum, a purple non-sulfur bacterium mainly known for its metabolic versatility. Using a knowledge based optimization process, we display a new strategy for the improvement of PHA production, paving the way for the use of Rhodospirillum rubrum in industrial processes.

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“…The high nutrient concentration, in line with values reported by Montejo and collaborators (2015) [67] for municipal sludge compost, also confirmed the fertilizing potential of digestate-based mixture for the agricultural sector (Table 5). This result was expected, given that the anaerobic digestion technology is considered one of the most effective technologies to recover nutrients from the input material, namely sewage sludges, that can be utilized as fertilizer [68].…”

Section: Digestate-based Mixtures Quality Evaluation For Land Applicamentioning

confidence: 89%

Evaluation of MSW Compost and Digestate Mixtures for a Circular Economy Application

et al. 2020

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In order to obtain a product with agronomic characteristics and biological stability consistent with the EU fertilizer decree for the market of EU fertilising products three different mixtures obtained from sludge digestate from municipal wastewater treatment plant, fresh compost and mature compost have been studied and characterized. For the experimental activity, the raw samples and three mixing ones were collected for the analytical characterization. The biological stability was then assessed for all samples using different stability criteria such as Specific Oxygen Uptake Rate, Rottegrad self-heating factor, Residual biogas potential. Specific enzymatic tests provided information about the status of nutrient cycles (C, P and S) and to overall microbial activity. Physical (bulk density, particle density, air capacity and water content), nutritional (C, N, P, K, Mg, and Ca) and toxicological properties (seedling growth tests on Lepidum sativum L., Cucumis sativus L., Lolium perenne L.) were also evaluated in order to assess the feasibility of agronomic use of the digestate-based mixtures. All the digestate-based mixtures responded to the main characteristics of compost quality requirements proposed in national and international regulations. The evidence found in this study highlighted that the strategy of mixing of sludge digestates with the composts allowed to mitigate the environmental risk posed by each starting material and to valorize their nutrient content.

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Resource recovery and circular economy from organic solid waste using aerobic and anaerobic digestion technologies

Cited by 381 publications

References 124 publications

A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures

A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures

Photoheterotrophic Assimilation of Valerate and Associated Polyhydroxyalkanoate Production by Rhodospirillum rubrum

Evaluation of MSW Compost and Digestate Mixtures for a Circular Economy Application

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