Novel system design for high solid lignocellulosic biomass conversion.

A novel system (Oregon State University High Solids Reactor; OSU-HSR) was designed and constructed for enzymatic hydrolysis at ultrahigh solids content (40%) by promoting better mixing using low energy consumption in a horizontal reactor with a new impeller design and a controllable feeding unit. System performance was evaluated using separate hydrolysis and fermentation (SHF) and simultaneous saccharification and fermentation (SSF) methodologies. Using the dilute acid pretreated wheat straw as the substrate in the OSU-HSR system, the highest glucose (219.7 g/L) and ethanol (127.1 g/L) concentrations were achieved with the use of the SHF method while the highest ethanol concentration using SSF method was 134.5 g/L. The SSF method increased the return on investment to 12.21% with an estimated global warming potential of 54.5 g CO2 eq/MJ Ethanol. The OSU-HSR successfully provided effective mixing and different fed-batch schemes, and can be used for efficient biochemical conversion of lignocellulosic biomass into bio-chemicals and biofuels.

Bioreactor control systems in the biopharmaceutical industry: a critical perspective.

Industrial-scale bioprocessing underpins much of the production of pharmaceuticals, nutraceuticals, food, and beverage processing industries of the modern world. The profitability of these processes increasingly leverages the economies of scale and scope that are critically dependent on the product yields, titers, and productivity. Most of the processes are controlled using classical control approaches and represent over 90% of the industrial controls used in bioprocessing industries. However, with the advances in the production processes, especially in the biopharmaceutical and nutraceutical industries, monitoring and control of bioprocesses such as fermentations with GMO organisms, and downstream processing has become increasingly complex and the inadequacies of the classical and some of the modern control systems techniques is becoming apparent. Therefore, with increasing research complexity, nonlinearity, and digitization in process, there has been a critical need for advanced process control that is more effective, and easier process intensification and product yield (both by quality and quantity) can be achieved. In this review, industrial aspects of a process and automation along with various commercial control strategies have been extensively discussed to give an insight into the future prospects of industrial development and possible new strategies for process control and automation with a special focus on the biopharmaceutical industry. Supplementary Information: The online version contains supplementary material available at 10.1007/s43393-021-00048-6.

Per/polyfluoroalkyl substances production, applications and environmental impacts.

The per/polyfluoroalkyl substances (PFAS) are growing contaminants which are extremely difficult to get degraded naturally. PFAS have been produced for nearly a century using electrochemical flourination and more relomerization processes. High chemical resistance, hydrophobicity, lipophobicity, heat resistace, extremly low friction coefficient make this class of chemicals invaluable for many applications. These same properties useful unfortunately make them 'forever chemicals' once released into the envrironment. This review focuses on the production and applications of PFAs, determining the concentration of PFAs in environmental and biological matrices and their efficient degradation. Various methods of detection of PFAS have been developed but insitu methods of detction are still in the early stages of development. Current chemical and biological remediation technologies are expensive/not effective and thus new remediation technolgies must be developed. It is imperative to focus on methods for detection of the short chain PFAS with their projected increased use.

Gateway to the perspectives of the Food-Energy-Water nexus.

The Food-Energy-Water (FEW) nexus has been promoted as a tool for improving food, energy, and water resource security via an interdisciplinary approach that acknowledges the inherent synergies and tradeoffs involved in managing these resources. Over the past decade discussion of the nexus has increased rapidly, along with research funding and output. However, because the nexus encompasses so many different disciplines, researchers engage with and study the nexus from differing perspectives with distinct motivations and analytical methodologies. Understanding these motivations is critical to understanding the value of a given work. This paper first uses a narrative review to identify the motivations and toolsets of five key perspectives used to view the nexus, including: ecosystem health, waste management, public and private institutional change, stakeholder trust, and the learning process. Then, a systematic review is conducted to examine how publication trends have changed over the past decade, both generally and for each of these perspectives. The Food-Energy-Water nexus is not the first systems-based approach for addressing resource management and critiques of the nexus as a "Buzzword" or simply a reinvention of previous systems are growing in the literature. Challenging authors to explicitly define the role and motivations of their research within the broader category of the FEW nexus can improve the actionability of the research, better allow researchers to build from each other's work, and help reduce the ambiguity surrounding the nexus.

High solids loading biorefinery for the production of cellulosic sugars from bioenergy sorghum.

A novel process applying high solids loading in chemical-free pretreatment and enzymatic hydrolysis was developed to produce sugars from bioenergy sorghum. Hydrothermal pretreatment with 50% solids loading was performed in a pilot scale continuous reactor followed by disc refining. Sugars were extracted from the enzymatic hydrolysis at 10% to 50% solids content using fed-batch operations. Three surfactants (Tween 80, PEG 4000, and PEG 6000) were evaluated to increase sugar yields. Hydrolysis using 2% PEG 4000 had the highest sugar yields. Glucose concentrations of 105, 130, and 147 g/L were obtained from the reaction at 30%, 40%, and 50% solids content, respectively. The maximum sugar concentration of the hydrolysate, including glucose and xylose, obtained was 232 g/L. Additionally, the glucose recovery (73.14%) was increased compared to that of the batch reaction (52.74%) by using two-stage enzymatic hydrolysis combined with fed-batch operation at 50% w/v solids content.

An Automatic Disinfection System for Passenger Luggage at Airports and Train/Bus Stations.

Many researchers are working on multiple aspects of the COVID-19 pandemic including disease detection, treatment, and vaccine development. It is expected that there will be a large increase in passenger traffic at airports and railway stations and other public places. This paper proposes one solution to reduce the transmission of the disease through fomites such as passenger luggage and packages at bus/train stations and airports in the country. A tunnel system similar to the X-ray machines used for passenger luggage at airports has been proposed for disinfection of fomites. The system consists of eight 36 W T8 TUV bulbs illuminating each square meter area of the fomites on a conveyor belt for 10 s. For the standard airline luggage dimensions, 24 such bulbs will be distributed evenly on all four sides of the tunnel. The entry and exit points on the conveyor are shielded from the UV-C light leakage by placing thin plastic (such as acrylic) curtains. An optional non-foaming soap solution spray system may be used as an additional disinfection step. The toxic sodium hypochlorite solutions are not used in this design. Non-foaming soap solutions which are very effective against coronavirus and are non-toxic and biodegradable may be used as an optional disinfectant. It is to be noted that while the disinfection systems are designed to effectively mitigate the threat of coronavirus on the passenger fomite surfaces, these are purely based on theoretical calculations and have not been tested with actual viral particles. However, considering the time-sensitive emergency with COVID-19 pandemic, these systems will be very useful even without rigorous campaign of testing.

Study of Toxic Elements in River Water and Wetland Using Water Hyacinth (Eichhornia crassipes) as Pollution Monitor.

The concentration of toxic elements present in surface water of Sutlej River and Harike wetland besides Eichhornia crassipes, commonly known as water hyacinth, is estimated employing inductively coupled plasma mass spectrometry (ICP-MS). Toxic elements such as cadmium (Cd), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb), uranium (U), and zinc (Zn) are identified in the river as well as in Harike wetland catchment. Accumulation of elements in different parts of the water hyacinth plant is observed with the roots exhibiting maximum affinity followed by stem and then leaves. The removal efficacy of pollutants by water hyacinth is estimated using bioconcentration factor (BCF) index. It is found to be different for different elements, with Mn showing the highest and U the lowest magnitude. The study carried out in the present work indicates that rhizofiltration could play an important role in controlling pollutant load.

A comparative account of glucose yields and bioethanol production from separate and simultaneous saccharification and fermentation processes at high solids loading with variable PEG concentration.

A process strategy to aid in optimal enzymatic hydrolysis through the addition of polyethylene glycol (PEG6000) was tested for separate hydrolysis and fermentation (SHF) and simultaneous saccharification and fermentation (SSF). Pretreated wheat straw at 30% solids (w/w) loading was enzymatically hydrolyzed with 0, 0.5, 1, 1.5, 2 and 2.5% of PEG6000 through SHF and SSF. During SHF, bioethanol concentration of 107.5 g/L (2.5% PEG6000) was achieved. SSF ethanol concentration were about 113 g/L at 1.5% PEG6000 addition. A technoeconomic feasibility showed a return on investment (ROI) of 8.13% using 0.5% PEG6000 for SHF (96 h) and 12.25% ROI for SSF control (72 h). Life cycle assessment for the various scenarios indicated higher environmental gains for best cases of SSF over SHF. The study shows the SSF approach (0% PEG6000; 72 h) facilitates higher process efficiencies; technoeconomic gains and high environmental sustainability for future scale-up and commercial realization.

A novel method for real-time estimation of insoluble solids and glucose concentrations during enzymatic hydrolysis of biomass.

The study describes a novel method using instantaneous mixing torque and rotational speed to estimate insoluble solids and glucose concentrations during enzymatic hydrolysis of biomass. This method is cost-effective for real-time monitoring and control of enzymatic hydrolysis and potentially scalable. The model was developed using biomass slurries at three solids loading (20, 30 and 45%) at various rotational speeds from 50 to 400 rpm. The results showed a significant drop in mixing torque at 12 h with high solids loading. Maximum glucose concentration (205 g/l) during hydrolysis was achieved at 45% solids loading. Insoluble solids and glucose concentration as a function of torque and rotational speeds were modeled using a modified Herschell-Bulkley model. The model describes the experimental observations with high fidelity (R2 = 0.84) and can be used for real time monitoring of many multiphase reaction systems as enzymatic hydrolysis of lignocellulosic biomass and dry grind corn ethanol processes.

Genome-Scale, Constraint-Based Modeling of Nitrogen Oxide Fluxes during Coculture of Nitrosomonas europaea and Nitrobacter winogradskyi.

Nitrification, the aerobic oxidation of ammonia to nitrate via nitrite, emits nitrogen (N) oxide gases (NO, NO2, and N2O), which are potentially hazardous compounds that contribute to global warming. To better understand the dynamics of nitrification-derived N oxide production, we conducted culturing experiments and used an integrative genome-scale, constraint-based approach to model N oxide gas sources and sinks during complete nitrification in an aerobic coculture of two model nitrifying bacteria, the ammonia-oxidizing bacterium Nitrosomonas europaea and the nitrite-oxidizing bacterium Nitrobacter winogradskyi. The model includes biotic genome-scale metabolic models (iFC578 and iFC579) for each nitrifier and abiotic N oxide reactions. Modeling suggested both biotic and abiotic reactions are important sources and sinks of N oxides, particularly under microaerobic conditions predicted to occur in coculture. In particular, integrative modeling suggested that previous models might have underestimated gross NO production during nitrification due to not taking into account its rapid oxidation in both aqueous and gas phases. The integrative model may be found at https://github.com/chaplenf/microBiome-v2.1. IMPORTANCE Modern agriculture is sustained by application of inorganic nitrogen (N) fertilizer in the form of ammonium (NH4+). Up to 60% of NH4+-based fertilizer can be lost through leaching of nitrifier-derived nitrate (NO3-), and through the emission of N oxide gases (i.e., nitric oxide [NO], N dioxide [NO2], and nitrous oxide [N2O] gases), the latter being a potent greenhouse gas. Our approach to modeling of nitrification suggests that both biotic and abiotic mechanisms function as important sources and sinks of N oxides during microaerobic conditions and that previous models might have underestimated gross NO production during nitrification.

A regional scale modeling framework combining biogeochemical model with life cycle and economic analysis for integrated assessment of cropping systems.

The goal of this study was to integrate a crop model, DNDC (DeNitrification-DeComposition), with life cycle assessment (LCA) and economic analysis models using a GIS-based integrated platform, ENVISION. The integrated model enables LCA practitioners to conduct integrated economic analysis and LCA on a regional scale while capturing the variability of soil emissions due to variation in regional factors during production of crops and biofuel feedstocks. In order to evaluate the integrated model, the corn-soybean cropping system in Eagle Creek Watershed, Indiana was studied and the integrated model was used to first model the soil emissions and then conduct the LCA as well as economic analysis. The results showed that the variation in soil emissions due to variation in weather is high causing some locations to be carbon sink in some years and source of CO2 in other years. In order to test the model under different scenarios, two tillage scenarios were defined: 1) conventional tillage (CT) and 2) no tillage (NT) and analyzed with the model. The overall GHG emissions for the corn-soybean cropping system was simulated and results showed that the NT scenario resulted in lower soil GHG emissions compared to CT scenario. Moreover, global warming potential (GWP) of corn ethanol from well to pump varied between 57 and 92gCO2-eq./MJ while GWP under the NT system was lower than that of the CT system. The cost break-even point was calculated as $3612.5/ha in a two year corn-soybean cropping system and the results showed that under low and medium prices for corn and soybean most of the farms did not meet the break-even point.

Model predictive control coupled with economic and environmental constraints for optimum algal production.

Algae production process is a key cost center in production of biofuels/bioproducts from microalgae. Decline in the growth of algae in outdoor ponds during non-optimal conditions is one of the hurdles for achieving consistently high algal production rates. An optimal controller can be used to overcome this limitation and provide reliable growth in outdoor conditions. A model predictive controller (MPC) was developed to optimize the algal growth, predicted by flux balance analysis, under natural disturbances, embedding within the cost function, the economic and environmental constraints associated with the process. The model, developed in MATLAB, was validated on a 30-L continuous algal culture under light, temperature and a combination of light and temperature disturbances. The MPC proved effective in minimization of a decrease in growth under these natural disturbances. The growth rates with MPC were observed to be 79-116% higher as compared to the non-MPC growth.

How does technology pathway choice influence economic viability and environmental impacts of lignocellulosic biorefineries?

BACKGROUND: The need for liquid fuels in the transportation sector is increasing, and it is essential to develop industrially sustainable processes that simultaneously address the tri-fold sustainability metrics of technological feasibility, economic viability, and environmental impacts. Biorefineries based on lignocellulosic feedstocks could yield high-value products such as ethyl acetate, dodecane, ethylene, and hexane. This work focuses on assessing biochemical and biomass to electricity platforms for conversion of Banagrass and Energycane into valuable fuels and chemicals using the tri-fold sustainability metrics. RESULTS: The production cost of various products produced from Banagrass was $1.19/kg ethanol, $1.00/kg ethyl acetate, $3.01/kg dodecane (jet fuel equivalent), $2.34/kg ethylene and $0.32/kW-h electricity. The production cost of different products using Energycane as a feedstock was $1.31/kg ethanol, $1.11/kg ethyl acetate, $3.35/kg dodecane, and $2.62/kg ethylene. The sensitivity analysis revealed that the price of the main product, feedstock cost and cost of ethanol affected the profitability the overall process. Banagrass yielded 11% higher ethanol compared to Energycane, which could be attributed to the differences in the composition of these lignocellulosic biomass sources. Acidification potential was highest when ethylene was produced at the rate of 2.56 × 10-2 and 1.71 × 10-2 kg SO2 eq. for Banagrass and Energycane, respectively. Ethanol production from Banagrass and Energycane resulted in a global warming potential of - 12.3 and - 40.0 g CO2 eq./kg ethanol. CONCLUSIONS: Utilizing hexoses and pentoses from Banagrass to produce ethyl acetate was the most economical scenario with a payback period of 11.2 years and an ROI of 8.93%, respectively. Electricity production was the most unprofitable scenario with an ROI of - 29.6% using Banagrass/Energycane as a feedstock that could be attributed to high feedstock moisture content. Producing ethylene or dodecane from either of the feedstocks was not economical. The moisture content and composition of biomasses affected overall economics of the various pathways studied. Producing ethanol and ethyl acetate from Energycane had a global warming potential of - 3.01 kg CO2 eq./kg ethyl acetate.

Effect of solids loading on ethanol production: Experimental, economic and environmental analysis.

This study explores the effect of high-solids loading for a fed batch enzymatic hydrolysis and fermentation. The solids loading considered was 19%, 30% and 45% using wheat straw and corn stover as a feedstock. Based on the experimental results, techno-economic analysis and life cycle assessments were performed. The experimental results showed that 205±25.8g/L glucose could be obtained from corn stover at 45% solids loading after 96h which when fermented yielded 115.9±6.37g/L ethanol after 60h of fermentation. Techno-economic analysis showed that corn stover at 45% loading yielded the highest ROI at 8% with a payback period less than 12years. Similarly, the global warming potential was lowest for corn stover at 45% loading at -37.8gCO2 eq./MJ ethanol produced.

Genome scale metabolic reconstruction of Chlorella variabilis for exploring its metabolic potential for biofuels.

A compartmentalized genome scale metabolic network was reconstructed for Chlorella variabilis to offer insight into various metabolic potentials from this alga. The model, iAJ526, was reconstructed with 1455 reactions, 1236 metabolites and 526 genes. 21% of the reactions were transport reactions and about 81% of the total reactions were associated with enzymes. Along with gap filling reactions, 2 major sub-pathways were added to the model, chitosan synthesis and rhamnose metabolism. The reconstructed model had reaction participation of 4.3 metabolites per reaction and average lethality fraction of 0.21. The model was effective in capturing the growth of C. variabilis under three light conditions (white, red and red+blue light) with fair agreement. This reconstructed metabolic network will serve an important role in systems biology for further exploration of metabolism for specific target metabolites and enable improved characteristics in the strain through metabolic engineering.

A dynamic flux balance model and bottleneck identification of glucose, xylose, xylulose co-fermentation in Saccharomyces cerevisiae.

A combination of batch fermentations and genome scale flux balance analysis were used to identify and quantify the rate limiting reactions in the xylulose transport and utilization pathway. Xylulose phosphorylation by xylulokinase was identified as limiting in wild type Saccharomyces cerevisiae, but transport became limiting when xylulokinase was upregulated. Further experiments showed xylulose transport through the HXT family of non-specific glucose transporters. A genome scale flux balance model was developed which included an improved variable sugar uptake constraint controlled by HXT expression. Model predictions closely matched experimental xylulose utilization rates suggesting the combination of transport and xylulokinase constraints is sufficient to explain xylulose utilization limitation in S. cerevisiae.

Phytochemical, antioxidant and antibacterial potential of Elaeagnus kologa (Schlecht.) leaf.

OBJECTIVE: To screen different solvent extracts of Elaeagnus kologa (E. kologa) leaf to determine the phytochemicals, potent antioxidant and antibacterial activity to find out the possible source of applied pharmaceutical formulations. METHODS: Solvent extracts of leaf material were prepared using the Soxhlet apparatus. A study was performed on antioxidant activity of methanolic extract of leaf by 1-1-diphenyl-2-picrylhydrazyl method. The phenolic and flavonoid content of all the fractions were determined using high performance liquid chromatography. Leaves were also subjected to protein and carbohydrate test. RESULTS: The total phenols, flavonoids were found to be high in petroleum ether as compare to other solvent fraction. The IC50 value of methanolic extract of the sample was 62.20 µg/mL which showed significant antibacterial activity against Bacillus subtilis (Gram-positive). CONCLUSIONS: The present study suggests that the methanolic extract of E. kologa leaf possesses antioxidant and antibacterial properties. Such properties may be of great use in mitigating the detrimental effects of oxidative stress and reducing susceptibility to bacterial infection. Notably, extracts of E. kologa leaf also contain proteins and carbohydrates which add to its nutritional value.

Optimization of microwave-assisted hot air drying conditions of okra using response surface methodology.

Okra (Abelmoschus esculentus) was dried to a moisture level of 0.1 g water/g dry matter using a microwave-assisted hot air dryer. Response surface methodology was used to optimize the drying conditions based on specific energy consumption and quality of dried okra. The drying experiments were performed using a central composite rotatable design for three variables: air temperature (40-70 °C), air velocity (1-2 m/s) and microwave power level (0.5-2.5 W/g). The quality of dried okra was determined in terms of color change, rehydration ratio and hardness of texture. A second-order polynomial model was well fitted to all responses and high R(2) values (>0.8) were observed in all cases. The color change of dried okra was found higher at high microwave power and air temperatures. Rehydration properties were better for okra samples dried at higher microwave power levels. Specific energy consumption decreased with increase in microwave power due to decrease in drying time. The drying conditions of 1.51 m/s air velocity, 52.09 °C air temperature and 2.41 W/g microwave power were found optimum for product quality and minimum energy consumption for microwave-convective drying of okra.

Stochastic molecular model of enzymatic hydrolysis of cellulose for ethanol production.

BACKGROUND: During cellulosic ethanol production, cellulose hydrolysis is achieved by synergistic action of cellulase enzyme complex consisting of multiple enzymes with different mode of actions. Enzymatic hydrolysis of cellulose is one of the bottlenecks in the commercialization of the process due to low hydrolysis rates and high cost of enzymes. A robust hydrolysis model that can predict hydrolysis profile under various scenarios can act as an important forecasting tool to improve the hydrolysis process. However, multiple factors affecting hydrolysis: cellulose structure and complex enzyme-substrate interactions during hydrolysis make it diffucult to develop mathematical kinetic models that can simulate hydrolysis in presence of multiple enzymes with high fidelity. In this study, a comprehensive hydrolysis model based on stochastic molecular modeling approch in which each hydrolysis event is translated into a discrete event is presented. The model captures the structural features of cellulose, enzyme properties (mode of actions, synergism, inhibition), and most importantly dynamic morphological changes in the substrate that directly affect the enzyme-substrate interactions during hydrolysis. RESULTS: Cellulose was modeled as a group of microfibrils consisting of elementary fibrils bundles, where each elementary fibril was represented as a three dimensional matrix of glucose molecules. Hydrolysis of cellulose was simulated based on Monte Carlo simulation technique. Cellulose hydrolysis results predicted by model simulations agree well with the experimental data from literature. Coefficients of determination for model predictions and experimental values were in the range of 0.75 to 0.96 for Avicel hydrolysis by CBH I action. Model was able to simulate the synergistic action of multiple enzymes during hydrolysis. The model simulations captured the important experimental observations: effect of structural properties, enzyme inhibition and enzyme loadings on the hydrolysis and degree of synergism among enzymes. CONCLUSIONS: The model was effective in capturing the dynamic behavior of cellulose hydrolysis during action of individual as well as multiple cellulases. Simulations were in qualitative and quantitative agreement with experimental data. Several experimentally observed phenomena were simulated without the need for any additional assumptions or parameter changes and confirmed the validity of using the stochastic molecular modeling approach to quantitatively and qualitatively describe the cellulose hydrolysis.

A simultaneous saccharification and fermentation model for dynamic growth environments.

Many mathematical models by researchers have been formulated for Saccharomyces cerevisiae which is the common yeast strain used in modern distilleries. A cybernetic model that can account for varying concentrations of glucose, ethanol and organic acids on yeast cell growth dynamics does not exist. A cybernetic model, consisting of 4 reactions and 11 metabolites simulating yeast metabolism, was developed. The effects of variables such as temperature, pH, organic acids, initial inoculum levels and initial glucose concentration were incorporated into the model. Further, substrate and product inhibitions were included. The model simulations over a range of variables agreed with hypothesized trends and to observations from other researchers. Simulations converged to expected results and exhibited continuity in predictions for all ranges of variables simulated. The cybernetic model did not exhibit instability under any conditions simulated.