4.8 Article Proceedings Paper

Integration of a dark fermentation effluent in a microalgal-based biorefinery for the production of high-added value omega-3 fatty acids

期刊

APPLIED ENERGY
卷 241, 期 -, 页码 130-138

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2019.03.058

关键词

Crypthecodinium cohnii; Biorefinery; Volatile fatty acids; Omega-3; Dark fermentation effluent; Docosahexaenoic acid

资金

  1. Elidek institution
  2. Greek State Scholarships (Postdoc-Research Scholarships IKY)
  3. European Union's Horizon 2020 research and innovation programme [720777]

向作者/读者索取更多资源

Dark fermentation is an anaerobic digestion process of biowaste, used to produce hydrogen- for generation of energy- that however releases high amounts of polluting volatile fatty acids, such as acetic acid, in the environment. In order for this biohydrogen production process to become more competitive, the volatile fatty acids stream can be utilized through conversion to high added-value metabolites, such as omega-3 fatty acids. The docosahexaenoic acid is one of the two most known omega-3 fatty acids and has been found to be necessary for a healthy brain and proper cardiovascular function. The main source is currently fish, which obtain the fatty acid from the primary producers, microalgae, through the food chain. Crypthecodinium cohnii, a heterotrophic marine microalga, is known for accumulating high amounts of docosahexaenoic acid, while offering the advantage of assimilating various carbon sources, such as glucose, ethanol, glycerol and acetic acid. The purpose of this work was to examine the ability of a C. cohnii strain to grow on different volatile fatty acids, as well as, on a pretreated dark fermentation effluent and accumulate omega-3. The strain was found to grow well on relatively high concentrations of acetic, butyric or propionic acid as main carbon source in a fed-batch pH-auxostat. Most importantly, C. cohnii totally depleted the organic acid content of an ultra-filtrated dark fermentation effluent after 60 h of fed-batch cultivation, therefore offering a bioprocess not only able to mitigate environmental pollutants, but also to provide a solution for a sustainable energy production process. The accumulated docosahexaenoic acid content was as high as 29.8% (w/w) of total fatty acids.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Agricultural Engineering

Lytic polysaccharide monooxygenases as powerful tools in enzymatically assisted preparation of nano-scaled cellulose from lignocellulose: A review

Anthi Karnaouri, Koar Chorozian, Dimitrios Zouraris, Antonis Karantonis, Evangelos Topakas, Ulrika Rova, Paul Christakopoulos

Summary: Nanocellulose, whether in fiber or crystal form, is a renewable, biobased, biocompatible material with advantageous mechanical properties that can be isolated through enzyme-assisted processes, leading to higher quality products. The use of Lytic Polysaccharide Monooxygenases (LPMOs) for cellulose fiber treatment towards nanostructrue isolation highlights their potential for novel production of nanocellulose from lignocellulose.

BIORESOURCE TECHNOLOGY (2022)

Article Polymer Science

Progressing Ultragreen, Energy-Efficient Biobased Depolymerization of Poly(ethylene terephthalate) via Microwave-Assisted Green Deep Eutectic Solvent and Enzymatic Treatment

Olivia A. Attallah, Muhammad Azeem, Efstratios Nikolaivits, Evangelos Topakas, Margaret Brennan Fournet

Summary: In this study, a green method for depolymerization of polyethylene terephthalate (PET) using deep eutectic solvent (DES) and enzymatic hydrolysis was demonstrated. The use of microwave-assisted DES technology improved the efficiency of the reaction.

POLYMERS (2022)

Editorial Material Biotechnology & Applied Microbiology

Editorial: Bio-Technological Processes and Enzymes for the Conversion and Valorization of Plastic Wastes

Evangelos Topakas, Jasmina Nikodinovic-Runic, Qingsheng Qi

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2022)

Article Environmental Sciences

Investigation of Abortiporus biennis lignocellulolytic toolbox, and the role of laccases in polystyrene degradation

Anastasia Zerva, Romanos Siaperas, George Taxeidis, Maria Kyriakidi, Stamatina Vouyiouka, Georgios I. Zervakis, Evangelos Topakas

Summary: White-rot fungus Abortiporus biennis has been studied for its lignocellulolytic potential. The strain was found to possess all necessary enzymatic activities for complete biomass degradation, with oxidative enzymes playing a prominent role. Two novel laccases, AbiLac1 and AbiLac2, were discovered and shown to have the ability to oxidize a wide range of substrates. This study highlights the biotechnological potential of unexplored enzymatic machinery in white-rot basidiomycetes, including improved lignocellulolytic cocktails and the degradation/valorization of plastic waste materials.

CHEMOSPHERE (2023)

Article Chemistry, Physical

Set of Small Molecule Polyurethane (PU) Model Substrates: Ecotoxicity Evaluation and Identification of PU Degrading Biocatalysts

Brana Pantelic, Sanja Skaro Bogojevic, Dusan Milivojevic, Tatjana Ilic-Tomic, Branka Loncarevic, Vladimir Beskoski, Veselin Maslak, Maciej Guzik, Konstantinos Makryniotis, George Taxeidis, Romanos Siaperas, Evangelos Topakas, Jasmina Nikodinovic-Runic

Summary: Polyurethanes (PUs) are widely used plastic polymers in various industries, but their accumulation as waste and the associated environmental impacts have raised concerns. This study synthesized and characterized synthetic compounds representing partial PU hydrolysis products to assess their toxicity and suitability for identifying biocatalysts for PU biodegradation. The compounds showed low in vitro cytotoxicity and low toxic effects on the nematode C. elegans. Two compounds exhibited moderate aquatic ecotoxicity. They were also used to study the cleaving preference of known plastic-degrading enzymes and to identify a novel PU-degrading biocatalyst, Amycolatopsis mediterranei ISP5501. This study highlights the potential of biotechnological processes for PU waste treatment.

CATALYSTS (2023)

Article Environmental Sciences

Transglycosylation of Stevioside by a Commercial β-Glucanase with Fungal Extracted β-Glucans as Donors

Anastasia Zerva, Milad Mohammadi, Georgios Dimopoulos, Petros Taoukis, Evangelos Topakas

Summary: Alternative sweeteners, such as steviol glucosides, are popular for next-generation food design. However, the bitter aftertaste of native steviol glucosides hinders consumer acceptance. This study proposes a novel enzymatic process using beta-glucanase for the modification of stevioside, with the potential valorization of beta-glucans from fungal biomass.

WASTE AND BIOMASS VALORIZATION (2023)

Article Biotechnology & Applied Microbiology

Evaluation of olive mill wastewater as culture medium to produce lipolytic enzymes by Bacillus aryabhattai BA03

Alicia Paz, Anastasia Zerva, Evangelos Topakas

Summary: In this study, olive mill wastewater (OMWW) was used as a low-cost substrate to produce lipases by Bacillus aryabhattai BA03, reducing the production costs. Non-sterilized or sterilized media formulated with 25% OMWW showed double or triple the enzyme activity compared to synthetic medium, while the highest activity was observed at pH 8, 27 degrees C, and 50% OMWW under non-sterile conditions.

BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY (2023)

Article Chemistry, Applied

The xylobiohydrolase activity of a GH30 xylanase on natively acetylated xylan may hold the key for the degradation of recalcitrant xylan

Christina Pentari, Anastasia Zerva, Maria Dimarogona, Evangelos Topakas

Summary: It has been discovered that xylanases can accommodate acetyl side-groups and release acetylated xylobiose. However, acetyl esterases show synergy with TtXyn30A, indicating that certain subsites in its active site cannot tolerate acetylated xylopyranose residues. Molecular docking analysis reveals that the acetyl group can be accommodated at the 2- or 3-OH position of the non-reducing end xylose, but only 3-OH decoration can be accommodated at the reducing-end xylose (subsite -1). These insights into the catalytic activity of TtXyn30A can contribute to a better understanding of its biological role and enable more efficient biotechnological utilization.

CARBOHYDRATE POLYMERS (2023)

Article Environmental Sciences

Triggering and identifying the polyurethane and polyethylene-degrading machinery of filamentous fungi secretomes

George Taxeidis, Efstratios Nikolaivits, Romanos Siaperas, Christina Gkountela, Stamatina Vouyiouka, Brana Pantelic, Jasmina Nikodinovic-Runic, Evangelos Topakas

Summary: The uncontrollable disposal of plastic waste has raised concerns in the scientific community. In this study, various fungi were screened for their ability to degrade synthetic polymers. Three fungal strains belonging to Fusarium and Aspergillus genera were found to have promising enzymatic activities for polymer degradation.

ENVIRONMENTAL POLLUTION (2023)

Article Biochemistry & Molecular Biology

Crystal structure of the Fusarium oxysporum tannase-like feruloyl esterase FaeC in complex with p-coumaric acid provides insight into ligand binding

Christina Ferousi, Christos Kosinas, Efstratios Nikolaivits, Evangelos Topakas, Maria Dimarogona

Summary: In this study, the crystal structure of a Feruloyl esterase (FoFaeC) from Fusarium oxysporum in complex with p-coumaric acid was reported, providing the first ligand-bound structure of a tannase-like Feruloyl esterase. The data showed local conformational changes around the active site upon ligand binding, suggesting interconversion between an active and a resting state of the enzyme. A swinging tyrosine residue was found to gate the substrate binding pocket, while the lid domain of the protein exerted substrate specificity through a well-defined hydrophobic core that encased the phenyl moiety of the substrate.

FEBS LETTERS (2023)

Article Biochemical Research Methods

Structure-function studies of a novel laccase-like multicopper oxidase from Thermothelomyces thermophila provide insights into its biological role

Christos Kosinas, Anastasia Zerva, Evangelos Topakas, Maria Dimarogona

Summary: This study focuses on understanding the structure-function determinants of a novel laccase-like multicopper oxidase, TtLMCO1, from the thermophilic fungus Thermothelomyces thermophila. The crystal structure of TtLMCO1, determined using an AlphaFold2 model, revealed a three-domain laccase with two copper sites, lacking the C-terminal plug observed in other ascolaccases. Analysis of solvent tunnels identified crucial amino acids for proton transfer, while docking simulations provided structural evidence for the enzyme's promiscuity in oxidizing ortho-substituted phenols.

ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY (2023)

Article Agricultural Engineering

Pretreatment of beechwood with polyoxometalate-based catalysts towards the production of polyunsaturated fatty acids by Crypthecodinium cohnii

Anthi Karnaouri, Konstantinos G. Kalogiannis, Savvas Staikos, Stamatia Karakoulia, Angelos A. Lappas, Evangelos Topakas

Summary: In this study, a novel OxiOrganosolv pretreatment was developed for the fractionation of beechwood, using a combination of water, organic solvents, polyoxometalate complexes (POMs) as catalysts, and O2 as an oxidative agent. POMs demonstrated high efficiency in simultaneously hydrolyzing hemicellulose and oxidizing lignin ether bonds, leading to depolymerization and removal of lignin. The use of commercially available HPMo and in-house produced Fe- and Cu-exchanged salts as catalysts significantly improved delignification and hemicellulose removal compared to the absence of catalyst. Enzymatic digestibility evaluation showed that HPMo was the most favorable catalyst for increased saccharification yields and production of sugar-rich hydrolysates, which were used as carbon sources for the production of w-3 PUFAs from Crypthecodinium cohnii. The study demonstrates the potential of POMs as catalysts for efficient biomass delignification to obtain sugar-rich streams for nutraceutical production.

INDUSTRIAL CROPS AND PRODUCTS (2023)

Article Engineering, Environmental

Discovery of a polyesterase from Deinococcus maricopensis and comparison to the benchmark LCCICCG suggests high potential for semi-crystalline post-consumer PET degradation

Konstantinos Makryniotis, Efstratios Nikolaivits, Christina Gkountela, Stamatina Vouyiouka, Evangelos Topakas

Summary: Plastic pollution is a significant environmental challenge and traditional waste management strategies are inadequate for addressing this problem. Enzymatic degradation, particularly using LCCICCG, has shown promise in breaking down PET, the most commonly produced and discarded polyester. However, more efficient PET-hydrolases are needed for larger scale biorefineries.

JOURNAL OF HAZARDOUS MATERIALS (2023)

Article Food Science & Technology

Two-Step Upcycling Process of Lignocellulose into Edible Bacterial Nanocellulose with Black Raspberry Extract as an Active Ingredient

Marijana Ponjavic, Vuk Filipovic, Evangelos Topakas, Anthi Karnaouri, Jelena Zivkovic, Nemanja Krgovic, Jelena Mudric, Katarina Savikin, Jasmina Nikodinovic-Runic

Summary: This research demonstrates the upcycling process of lignocellulose into enriched bacterial nanocellulose (BNC) functionalized with black raspberry extract (BR). The BNC-BR material showed antioxidant and antimicrobial activity, highlighting its potential as a sustainable food industry material.
Article Nanoscience & Nanotechnology

Co-Encapsulation of Violacein and Iron Oxide in Poly(lactic acid) Nanoparticles for Simultaneous Antibacterial and Anticancer Applications

Maria Kanelli, Bahram Saleh, Thomas J. Webster, Stamatina Vouyiouka, Evangelos Topakas

Summary: The possibility of drug-resistant bacterial infections in hospitals is a significant concern, particularly for immunocompromised cancer patients. In this study, researchers co-encapsulated violacein and superparamagnetic iron oxide nanoparticles in polylactic acid nanoparticles, and tested their antimicrobial and anticancer activity. The results showed that the system exhibited high saturation magnetization and effectively inhibited the growth of drug-resistant Staphylococcus aureus, while also showing potential for inhibiting cancer cell growth.

JOURNAL OF BIOMEDICAL NANOTECHNOLOGY (2022)

Article Energy & Fuels

Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting

Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou

Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.

APPLIED ENERGY (2024)

Article Energy & Fuels

Evaluation method for the availability of solar energy resources in road areas before route corridor planning

Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan

Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.

APPLIED ENERGY (2024)

Article Energy & Fuels

Impacts of PTL coating gaps on cell performance for PEM water electrolyzer

Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender

Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.

APPLIED ENERGY (2024)

Article Energy & Fuels

Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies

Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado

Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.

APPLIED ENERGY (2024)

Article Energy & Fuels

The establishment of evaluation systems and an index for energy superpower

Duan Kang

Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.

APPLIED ENERGY (2024)

Article Energy & Fuels

A model-based study of the evolution of gravel layer permeability under the synergistic blockage effect of sand particle transport and secondary hydrate formation

Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang

Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.

APPLIED ENERGY (2024)

Article Energy & Fuels

Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach

Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi

Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.

APPLIED ENERGY (2024)

Article Energy & Fuels

Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects

Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong

Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.

APPLIED ENERGY (2024)

Article Energy & Fuels

Enhancement of hydrogen production via optimizing micro-structures of electrolyzer on a microfluidic platform

Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song

Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system

Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz

Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.

APPLIED ENERGY (2024)

Article Energy & Fuels

Archery-inspired catapult mechanism with controllable energy release for efficient ultralow-frequency energy harvesting

Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He

Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy

Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang

Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.

APPLIED ENERGY (2024)

Article Energy & Fuels

Capacity fade prediction for vanadium redox flow batteries during long-term operations

Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung

Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.

APPLIED ENERGY (2024)

Article Energy & Fuels

State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid

Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu

Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.

APPLIED ENERGY (2024)

Article Energy & Fuels

Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings

Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen

Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.

APPLIED ENERGY (2024)