Types Of Bioreactors Research Articles

Waste-to-energy plants flue gas CO2 mitigation using a novel tubular photobioreactor while producing Chlorella algae

The increasing CO2 emissions have a massive impact on the environment causing global warming due to the greenhouse effect. This leads to the effort of the society to minimize CO2 production as well as CO2 emissions mitigation by secondary measures to achieve sustainable and cleaner industrial production. Currently, research focuses on various methods for CO2 capture or mitigation from stationary industrial emission sources, such as waste-to-energy plants (WTEP), fossil fuel power plants, steel mills, cement plants, or refineries. One of the promising potential methods is the use of microalgae for biological CO2 fixation from flue gas through photosynthesis. With this vision, a vertical photobioreactor with elliptical tubes was developed, designed and implemented. This novel type of bioreactor using oval-shaped tubes, thus avoiding self-shading limitation, was used for experimental pilot-scale flue gas CO2 abatement verification. Flue gas composition was selected according to pollutants (CO, CO2, NO, SO2) on the outlet of the waste-to-energy plants. According to the suitable algae screening results, Chlorella pyrenoidosa Chick was used for cultivation. The biomass yield and CO2 fixation efficiency were experimentally obtained for optimal conditions and this new photobioreactor type. The results were compared to the available publications for Chlorella sp. and flue gas as the source of CO2. The best-achieved biomass productivities were 0.51 and 0.13 g L−1 d−1 with corresponding CO2 biofixation rates of 0.95 and 0.25 g L−1 D−1, respectively, for laboratory and pilot-scale. The results of this study allowed us to expand knowledge about high CO2 WTEP flu gas utilization as the carbon source for algae cultivation using novel PBR tubing. Also data about other minor flue gas pollutants (CO, NO, SO2) absorption in the cultivation medium contributes to an expansion of knowledge for algae cultivation using waste gas sources.

A gas distributor capable of multiple injection directions to improve the gas–liquid dispersion performance in the airlift loop reactor

As the gas supply equipment, the gas distributor is one of the core components in the airlift loop bioreactor. The gas injection direction and the dynamic behavior of the bubbles significantly affect the gas–liquid dispersion performance in the bioreactor. Therefore, based on the previously designed airlift loop reactor, a new type of tubular convex gas distributor (TCD) with multi-angle gas injection capability was developed. Under the conditions of different superficial gas velocities, the gas–liquid flow in the reactor was numerically simulated by computational fluid dynamics. The results showed that TCD had better gas–liquid dispersion and mass transfer performance in this reactor than several other traditional types of distributors. Under the experimental conditions, the optimal gas–liquid two-phase flow in the reactor was observed when the angle of the TCD vent tube was 15°, the number was 12, and the diameter was 1 mm. It was found that the error between the experimental results and the simulation results was controlled within 10 %, which verified the accuracy of the simulation. The application of TCD in the airlift loop bioreactor improved the wastewater treatment and biomass accumulation, significantly. The TCD can provide design ideas for gas distributors in other types of bioreactors, and is beneficial to improving the process of biological wastewater treatment for industrial application.

Evaluation of the Efficacy of Organic Peroxyacids for Eradicating Dairy Biofilms Using an Approach Combining Static and Dynamic Methods.

The presence of biofilms in the dairy industry is of major concern, as they may lead to the production of unsafe and altered dairy products due to their high resistance to most clean-in-place (CIP) procedures frequently used in processing plants. Therefore, it is imperative to develop new biofilm control strategies for the dairy industry. This protocol is aimed at evaluating the efficacy of organic peroxyacids (peracetic, perpropionic, and perlactic acids and a commercial peracetic acid-based disinfectant) for eradicating dairy biofilms using a combination of static and dynamic methods. All the disinfectants were tested on the strongest biofilm-producing bacteria in either a single or a mixed biofilm using the minimum biofilm eradication concentration (MBEC) assay, a static high-throughput screening method. A contact time of 5 min with the disinfectants at the recommended concentrations successfully eradicated both the single and mixed biofilms. Studies are currently ongoing to confirm these observations using the Center for Disease Control (CDC) biofilm reactor, a dynamic method to mimic in situ conditions. This type of bioreactor enables the use of a stainless-steel surface, which constitutes most industrial equipment and surfaces. The preliminary results from the reactor appear to confirm the efficacy of organic peroxyacids against biofilms. The combined approach described in this study may be used to develop and test new biological or chemical formulations for controlling biofilms and eradicating microorganisms.

Use of Pressurized and Airlift Bioreactors for Citric Acid Production by Yarrowia lipolytica from Crude Glycerol

Citric acid production is generally carried out in an aqueous medium in stirred tank reactors (STR), where the solubility of oxygen is low and the oxygen demand of microbial cultures is high. Thus, for this bioprocess, providing adequate oxygen mass transfer rate (OTR) from the gas phase into the aqueous culture medium is the main challenge of bioreactor selection and operation. In this study, citric acid production by Yarrowia lipolytica W29 from crude glycerol, in batch cultures, was performed in two non-conventional bioreactors normally associated with high mass transfer efficiency: a pressurized STR and an airlift bioreactor. Increased OTR was obtained by raising the total air pressure in the pressurized STR and by increasing the aeration rate in the airlift bioreactor. An improvement of 40% in maximum citric acid titer was obtained by raising the air pressure from 1 bar to 2 bar, whereas, in the airlift bioreactor, a 30% improvement was attained by increasing the aeration rate from 1 vvm to 1.5 vvm. Both bioreactor types can be successfully applied for the citric acid production process using alternative ways of improving OTR than increasing mechanical stirring power input, thus leading to important operating saving costs.

Kendali Optimal Model Pertumbuhan Mikroalga dalam Chemostat

Microalgae is one of Indonesia's natural potentials that can be utilized in various needs such as producing energy products (bioethanol, biodiesel), biopolymer producing plastic and as a soil mixture for construction engineering, even as waste treatment by absorbing the remaining organic compounds and nutrients or absorb some of the hazardous compounds contained in the waste. One of the microalgae culture media is chemostat. Chemostat is a type of continuous bioreactor that functions for the cultivation of microalgae and other microorganisms that are usually used in laboratory and industrial scales. In this study, control efforts on the microalgae growth model in the chemostat were carried out. This is so that the growth of microalgae reaches the equilibrium value in the minimum possible time. By applying Pontryagin's Minimum Principle and dilution parameters as control variables, it is obtained that the type of control carried out is bang-bang control. Then the control problem is solved numerically using the ICLOCS2 toolbox. The simulation results showed that microalgae were able to reach equilibrium conditions faster by 40.9% under the control. So, it can be said that the system can be controlled optimally.

Osteochondral Explant Isolation and Culture Under a Compression and Shear Bioreactor.

Osteochondral explants harvested from different species are valuable preclinical ex vivo models for tissue engineering research. In this chapter, we describe the isolation of osteochondral plugs from bovine stifle joints, followed by defect creation, and plug preparation in a straightforward manner before mechanical loading using a compression and shear bioreactor. The method can be adapted to isolate osteochondral plugs from any animal species and to load explants in any type of bioreactor.

An overview of bioreactors and their application in biosorption of heavy metals

Atmospheric toxicants in the form of heavy metals are major threat to human species on earth. Heavy metalions are accumulative in nature and non-biodegradable. There minute amount in human body is verydangerous, henceforth there removal is necessary. Many physical and chemical methods like ion- exchange,ultra filtration, reverse osmosis, electrochemical treatment, chemical precipitation, evaporation, membranetechnologies are employed for remediation of heavy metals from wastewaters but due to some disadvantagesthere is a requirement of such bioremediation technology which should be environmental friendly and a natural method. Biosorption is one such method which is of great attractive alternative of conventionalmethods. Bioremediation technologies are now linked to bioreactors to make removal process more efficientfrom wastewater. Performance of some bioreactors is found to be very good for the removal of heavymetals through biosorption. So, one objective of this paper is to highlight the efficiency ofbiosorptioninvolved in bioreactors. Here we discuss different types of bioreactors fixed bed, fluidized bioreactor, stirredtank, airlift bioreactors which are being used for the biosorption process. This article alsohighlights thesignificance of standard bioreactors and a possible usage of nanoparticles based bioreactorswhich willdefinitely be very useful in near future. Further, green synthesis of nanoparticles is also aninterestingtechnology that will revolutionize the process of biosorption.

Process model and techno-economic analysis of natural astaxanthin production from microalgae incorporating geospatial variabilities

Microalgae possess tremendous potential to meet the ever-increasing demand for food, feed, energy and fuels in a sustainable manner. Microalgae-based natural products are poised to compete with synthetic products in the market. A comprehensive theoretical approach was developed to determine economic feasibility of natural astaxanthin production from microalgae at various locations in the United States. A detailed economic analysis was conducted to determine natural astaxanthin production costs considering residual biomass utilization for various locations. Baseline production costs of astaxanthin were found to range from 1400 to 5000 $ kg−1 for the different locations. The results suggest that both microalgae productivity potential and astaxanthin production costs are heavily influenced by geographic location and type of bioreactor used. While production costs of natural astaxanthin are found to be higher than those of synthetic astaxanthin, economic analysis reveals significant opportunity for the economic viability of natural microalgae-based astaxanthin production in commercial scales.

Strategies for enhancing the efficacy of anaerobic digestion of food industry wastewater: An insight into bioreactor types, challenges, and future scope

Food waste have become a growing concern worldwide with raising population and economic growth. Wastewater discharged from food industries contains many valuable and toxic components that have a negative impact on the ecological system. Large amounts of wastewater are discharged from the food industry, which necessitates the creation of effective technologies. Wastewater from the food industry can be seen as a rich source of energy and a primary source for generating valuable products. Waste disposal and resource recovery are sustainably valued by anaerobic digestion of wastewater from the food sector. The characteristics, composition, and nature of wastewater produced from various food sectors are elaborated upon in this review. An overview of the anaerobic digestion process for wastewater treatment in the food industry is included. Enhancement strategies for the anaerobic digestion process have been discussed in detail. In addition, various types of reactors utilized for performing anaerobic digestion is illustrated. Though anaerobic digestion process possesses advantages, the challenges and future scope are examined for improving the outcome.

Influenza Vaccine: An Engineering Vision from Virological Importance to Production.

According to data from the World Health Organization (WHO) every year, millions of people are affected by flu. Flu is a disease caused by influenza viruses. For preventing this, seasonal influenza vaccinations are widely considered the most efficient way to protect against the negative effects of the flu. To date, there is no “one-size-fits-all” vaccine that can be effective all over the world to protect against all seasonal or pandemic influenza virus types. Because influenza virus transforms its genetic structure and it can emerges as immunogenically new (antigenic drift) which causes epidemics or new virus subtype (antigenic shift) which causes pandemics. As a result, annual revaccination or new subtype viral vaccine development is required. Currently, three types of vaccines (inactivated, live attenuated, and recombinant) are approved in different countries. These can be named “conventional influenza vaccines” and their production are based on eggs or cell culture. Although, there is good effort to develop new influenza vaccines for broader and longer period of time protection. In this sense these candidate vaccines are called “universal influenza vaccines”. In this article, after we mentioned the short history of flu then virus morphology and infection, we explained the diseases caused by the influenza virus in humans. Afterward, we explained in detail the production methods of available influenza vaccines, types of bioreactors used in cell culture based production, conventional and new vaccine types, and development strategies for better vaccines.

Overview of the Nomenclature and Network of Contributors to the Development of Bioreactors for Human Gut Simulation Using Bibliometric Tools: A Fragmented Landscape.

The evolution of complex in vitro models of the human gastrointestinal system to interrogate the biochemical functionality of the gut microbiome has augmented our understanding of its role in human physiology and pathology. With 5718 authors from 52 countries, gut bioreactor research reflects the growing awareness of our need to understand the contribution of the gut microbiome to human health. Although a large body of knowledge has been generated from in vitro models, it is scattered and defined by application-specific terminologies. To better grasp the capacity of bioreactors and further our knowledge of the human gastrointestinal system, we have conducted a cross-field bibliometric search and mapped the evolution of human gastrointestinal in vitro research. We present reference material with the aim of identifying key authors and bioreactor types to enable researchers to make decisions regarding the choice of method for simulating the human gut in the context of microbiome functionality.

Software-Based Process Simulation and Feasibility Assessment of Black Soldier Fly Larvae Fatty Acid Extraction and Fractionation.

Simple SummaryUpscaling is a significant part of implementing industrial research in a large-scale market. In some cases, this means constructing a simulated factory version before establishing an in situ pilot-scale plant to predict and increase any chances of feasibility. A black soldier fly larvae fatty acid extraction factory may find its merit in the proper utilization of the increasingly explored potential of insect larvae. The factory predicted and assessed the feasibility of black soldier fly larvae under three different feed varieties. Fatty acids would be the final product, with several waste products and by-products.Black soldier flies have been studied as an alternative animal feed. On the other hand, they could be used to yield an abundance of fatty acids. Their omnivorous diet and low space requirements allow for the mass breeding of black soldier flies, using widely available food wastes as feedstock. This study simulates the industrial upscaling of an extraction process for black soldier fly larvae using SuperPro™ 9.5 simulation software. This software contains an extensive material library that regulated physical data for the chemical composition of the larvae and the products. It also bundled several types of bioreactors utilized in bioprocessing. The scheduling of the plant was aided by SchedulePro, which allows for the generation of batch durations and Gantt charts. Four fatty acids were chosen as the main revenue source, with simulated proteins assigned as by-products of the plant. Ash and cellulose were the wastes of the plant, and were separated through multiple filters. The plants were later assessed for their economic feasibility. The kitchen waste plant was the most profitable, and the control variable was the only unprofitable plant. These results may have been impacted by the waste content found in the control variable and the abundance of revenue products in the kitchen-waste-fed larvae.

Review on Recent Technologies for Industrial Wastewater Treatment

Abstract: Textile industry plays key role in any country for its basic needs and urbanization. Due to high demand in textile area, it generates massive amount of toxic wastewater. Generated wastewaters possess impurities and toxicity because of textile dyes containing complex organic chromophore groups. Direct release of wastewater creates lots of environmental issues. Treatments of textile effluent is not easily carried out by physical, chemical and biological methods without any affect. Nanoparticle mediated degradation trending presently but it contains metallic harmful effect so, further study cannot be focused on nanoparticles. However, biological methods are more reliable and environmental friendly for treatment. Various aerobic and anaerobic techniques were developed for treatment of textile effluent. In pilot scale study, researchers had established different types of bioreactors and tried to apply it on large scale in industries. Still, that methods are not that much efficient at large scale. So, advancement of treatment must be carried out by investigator such as microbial fuel cell reactors and biological integration with different physical and chemical processes

Evaluation of Individual and Mixture Toxicity of Heavy Metals using Semi-continuous Type Sulfur Oxidizing Bacteria (SOB) Bioreactor

Objectives:In this research, individual toxicity evaluation of heavy metals (Hg2+, Cr6+, Cd2+) was performed using a semi-continuous type bioreactor based on changes in the activity of sulfur oxidizing bacteria(SOB), and the purpose is to evaluate the toxic interaction of heavy metals through mixture toxicity evaluation and prediction modeling based on individual toxicity evaluation.Methods:SOB were separated into a reactor, and then the culture medium and heavy metal influent were automatically injected at 1-hour intervals under the optimized conditions. Heavy metal mixture influent for composite toxicity evaluation was produced and tested based on the individual EC50 value of each heavy metal based on the change in electrical conductivity(EC). Based on the results of the mixture toxicity evaluation, the CA, IA, and CI models are implemented, and after comparison with the actual experimental values, similarity with the model was verified through the MDR index. And the type of interaction (synergism, antagonism) was evaluated by CI value.Results and Discussion:In case of individual toxicity evaluation experiments, the individual EC50 of each heavy metal was derived at Hg2+ 0.71mg/L, Cr6+ 1.02 mg/L, and Cd2+ 8.82 mg/L in the order of strong toxicity. As a result of performing a combined toxicity evaluation based on individual EC50 values, it was judged that the combination of Hg2++Cd2+ showed a strong similarity with the IA model and no toxic interaction was developed, but all the remaining combinations were with the CI model. A similar relationship was shown and the existence of toxic interactions could be determined. As a result of analyzing the CI value, synergistic effects appeared in all combinations in which the interaction existed, and based on this result, it was possible to determine that Cr6+ is a factor that induces the toxic interaction. Conclusion:This study allowed a real-time toxicity monitoring system for SOB to verify sensitive toxicity detection for functional and non-essential metals. In addition, most heavy metal combinations generate synergistic effects during toxic interactions, and additional research on heavy metals and organic pollutants other than heavy metals used in this study will result in a more systematic ecotoxicity monitoring system.

Efficient removal of As, Cu and Cd and synthesis of photo-catalyst from Cu-smelting waste acid through sulfide precipitation by biogenic gaseous H2S produced by anaerobic membrane bioreactor

The proper disposal of Cu-smelting waste acid (CSWA) is a major challenge in sulfide ores pyrometallurgy industry due to its high content of H2SO4, extremely high concentration of As and multiple toxic metals. The neutralization precipitation using cheap CaO is the most widely used process in tackling CSWA. However, a large amount of hazardous wastes covering As and other heavy metals which requires further disposal is generated, and the valuable H2SO4 cannot be reused. Herein, anaerobic membrane bioreactor (AnMBR) is used to continuously produce gaseous H2S for sulfide precipitation of the refractory CSWA and simultaneous fabrication of photo-catalyst for the first time. The 200L AnMBR respectively gained the highest total H2S production of 6.41 g/h and the highest gaseous H2S production of 5.05 g/h under the optimal conditions, being 3–9 times higher than previous reports by other types of bioreactors. And the sulfide precipitation triggered by the maximum gaseous H2S of 5.05 g/h harvested almost 100 % removal for Cu, As and Cd from CSWA within a short time from 0.35 to 3.69 days. Moreover, the phase 1 precipitate covering Cu-S compounds displayed an efficient photo-catalytic activity. The sulfide precipitation by AnMBR showed an application potential in tackling the refractory CSWA and fabrication of valuable nanoparticle photo-catalyst.

Effects of Water Content and Irrigation of Packing Materials on the Performance of Biofilters and Biotrickling Filters: A Review

Biofilters (BFs) and biotrickling filters (BTFs) are two types of bioreactors used for treatment of volatile organic compounds (VOCs). Both BFs and BTFs use packing materials in which various microorganisms are immobilised. The water phase in BFs is stationary and used to maintain the humidity of packing materials, while BTFs have a mobile liquid phase. Optimisation of irrigation of packing materials is crucial for effective performance of BFs and BTFs. A literature review is presented on the influence of water content of packing materials on the biofiltration efficiency of various pollutants. Different configurations of BFs and BTFs and their influence on moisture distribution in packing materials were discussed. The review also presents various packing materials and their irrigation control strategies applied in recent biofiltration studies. The sources of this review included recent research articles from scientific journals and several review articles discussing BFs and BTFs.

A Temporary Immersion System to Improve Cannabis sativa Micropropagation.

The aim of this study was to propagate axillary shoots of Cannabis sativa L. using liquid medium in temporary immersion bioreactors. The effect of immersion frequency (3 or 6 immersions per day), explant type (apical or basal sections), explant number (8, 10, and 16 explants), mineral medium (Murashige and Skoog half-strength nitrates, β-A and β-H, all supplemented with 2-μM metatopoline), sucrose supplementation (2, 0.5, and 0% sucrose), culture duration (4 and 6 weeks), and bioreactor type (RITA® and Plantform™) were investigated. As a result, we propose a protocol for the proliferation of cannabis apical segments in RITA® or Plantform™ bioreactors. The explants (8 per RITA® and 24 per Plantform™) are immersed for 1 min, 3 times per day in β-A medium supplemented with 2-μM metatopoline and 0.5% of sucrose and subcultured every 4 weeks. This is the first study using temporary immersion systems in C. sativa production, and our results provide new opportunities for the mass propagation of this species.

Spinner Flask Bioreactor in Tissue Engineering

Spinner Flask Bioreactors are usually made up of glass or plastic vessel which have been widely used in Tissue Engineering from production of articular cartilage to production of osteoblast cells that help in bone regeneration. Cartilage grown in spinner flask bioreactors had more cells and less GAG than the other types of bioreactors in tissue engineering. In recent years, these bioreactors have also been used for the invitro cultivation of human tenocytes and MSCs. In this type of bioreactor, the cell/scaffold constructs are connected to vertical needles striking from pinnacle of the vessel and immersed inside the culture medium. The pinnacle or the top part of this bioreactor is used for gas exchange and medium oxygenation. Mixing of the medium is maintained with a stir bar at the lowest of the vessel or different blending mechanisms. Spinner Flask Bioreactors have grabbed increased attention in recent years due to its wide range of Tissue Engineering applications. In this review, we have tried to explore the different domains where these bioreactors have found enhanced applications. Keywords: Spin Flask Bioreactor Tissue Engineering, Cell Seeding, Bone Tissue Engineering, Articular Cartilage

Analysis of hollow wall effect on the fluid dynamics in the orbitally shaken bioreactors

Orbitally shaking bioreactors (OSRs) have recently been increasingly applied in the biopharmaceutical industry because they can provide a suitable environment for mammalian cell growth and protein expression. Fluid dynamics information is crucial for analyzing or optimizing of different types of bioreactors. Considering that the structure has an important influence on the fluid dynamics in a bioreactor, it necessary to design or optimize its structure by the computational fluid dynamics (CFD) approach. The aim of this study is to optimize the wall structure of a hollow cylinder OSR proposed in our previous work. Based on previous research, the influences of the hollow wall of the OSR on fluid dynamics and the volumetric mass transfer coefficient (k_{L}a) were analysed by the established CFD model. The results showed that the mixing performance of OSR could be improved by decreasing the installation height of the hollow wall. An installation height of 30 mm was found to be most favourable for mixing. The reliability of the CFD model was verified by comparing the liquid wave height and liquid wave shape between the simulation and experiment. The shear stress in the hollow cylinder OSR was proven gentle for mammalian cell cultivation.

Transformation of harmful algae bloom to helpful renewable energy development with artificial intelligence development

The harmful effects of various algae blooms on human and marine life are well-known globally. It is necessary to invent the utilization of such algae bloom for betterment of society and hence proposed research provided multiple benefits. As a supportive tool, Artificial Intelligence (AI) is becoming the high potential area for the fast analysis and predictions in almost all research areas. Also, a microbial fuel cell (MFC) is a relatively new type of bioreactor for wastewater treatment. As there is a need for invention of new renewable energy sources, we invented Sargassum as a new media for energy generation and therefore this research is the first time using Sargassum samples in a single-chambered MFC. This paper presents the development of new deep learning algorithm SargassoCNN to identify the various types of Sargassum bloom samples which further can be analyzed for selection of sample for best electricity generation medium using deep learning image processing algorithm.