Kinetics Of Production Research Articles

Molecular Level Resolution of the Crucial Differences in the Morphologies of Non-Fullerene Acceptor Y Derivatives/Donor Polymer PM6 Heterogeneous Films

Characterizing the morphologies of nonfullerene acceptors (NFAs)/donor polymer layers with molecular resolution is crucially important for organic solar cells (OSCs), but remains challenging and insufficient currently. Herein, the morphologies of NFA Yn (n=5-7)/donor polymer PM6 heterogeneous films were revealed with molecular resolution through scanning tunnelling microscopy and analyzed through density functional theory (DFT) calculations. Y6 forms an interdigitated, ladder-like structure with PM6 which is verified as a kinetic product by the DFT calculations. After annealing, the ladder-like structure coexists with the energy-favorable phase separation one. The difference of the forming energy between the phase separation and ladder-like structure in Y7/PM6 and Y5/PM6 is obviously larger than the one in Y6/PM6, therefore, only the phase separation structure was observed before and after annealing in Y7/PM6 and Y5/PM6. Yn (n=5-7) shows rather different stacking in its neat domain. Y6 forms a face-to-face, dense packing pair with the lateral shift around half of a molecule. Y7 is a dense packing was well, but the stacking is the T type. Y5 forms an exact face-to-face style while its packing is not the dense one. The morphology differences of Yn (n=5-7)/PM6 films are closely related to the alterations of the ending groups in the backbones of Yn (n=5-7) molecules. Annealing reduce the surface-occupied ratio of Y5 and Y7 domains but does not change their stacking. The results are very valuable for the accurate morphology characterizations and the researches of related OSCs and optoelectronics.

RNA kinetics influence the response to transcriptional perturbation in leukaemia cell lines.

Therapeutic targeting of dysregulated transcription has emerged as a promising strategy for the treatment of cancers, such as leukaemias. The therapeutic response to small molecule inhibitors of Bromodomain-Containing Proteins (BRD), such as BRD2 and BRD4, P300/cAMP-response element binding protein (CBP) and Cyclin Dependent Kinases (CDKs), is generally attributed to the selective disruption of oncogenic gene expression driven by enhancers, super-enhancers (SEs) and lineage-specific transcription factors (TFs), including the c-MYC oncogene. The selectivity of compounds targeting the transcriptional machinery may be further shaped by post-transcriptional processes. To quantitatively assess the contribution of post-transcriptional regulation in responses to transcription inhibition, we performed multi-omics analyses to accurately measure mRNA production and decay kinetics. We demonstrate that it is not only the selective disruption of mRNA production, but rather mRNA decay rates that largely influence the selectivity associated with transcriptional inhibition. Accordingly, genes down-regulated with transcriptional inhibitors are largely characterized by extremely rapid mRNA production and turnover. In line with this notion, stabilization of the c-MYC transcript through swapping of its 3' untranslated region (UTR) rendered c-MYC insensitive to transcriptional targeting. This failed to negate the impact on c-MYC downstream targets and did not abrogate therapeutic responses. Finally, we provide evidence that modulating post-transcriptional pathways, such as through ELAVL1 targeting, can sensitize long-lived mRNAs to transcriptional inhibition and be considered as a combination therapy approach in leukaemia. Taken together, these data demonstrate that mRNA kinetics influence the therapeutic response to transcriptional perturbation and can be modulated for novel therapeutic outcomes using transcriptional agents in leukaemia.

Quantifying protein kinetics in vivo: Influence of precursor dynamics on product labeling.

Protein kinetics can be quantified by coupling stable isotope tracer methods with mass spectrometry readouts; however, inter-connected decision points in the experimental design affect the complexity of the workflow and impact data interpretations. For example, choosing between a single bolus (pulse-chase) or a continuous exposure protocol influences subsequent decisions regarding when to measure and how to model the temporal labeling of a target protein. Herein, we examine the merits of in vivo tracer protocols, we direct attention towards stable isotope tracer experiments that rely on administering a single bolus since these are generally more practical to use as compared to continuous administration protocols. We demonstrate how the interplay between precursor and product kinetics impacts downstream analytics and calculations by contrasting fast vs slow turnover precursors (e.g. 13C-leucine vs 2H-water, respectively). Although the data collected here underscore certain advantages of using longer lived precursors (e.g. 2H- or 18O-water) the results also highlight the influence of tracer recycling on measures of protein turnover. We discuss the impact of tracer recycling and consider how the sampling interval is critical for interpreting studies. Finally, we demonstrate that tracer recycling does not limit the ability to perform back-to-back studies of protein kinetics. It is possible to run experiments in which subjects are used as their own controls even though the precursor and product remain labeled following an initial tracer dosing.

Non‐Aqueous Liquid Electrolytes for Li‐O2 Batteries

AbstractLi‐O2 batteries (LOBs) have become a research hotspot of energy storage devices because of its high theoretical energy density. Practical applications require that non‐aqueous LOBs can deliver stable and high reversible capacity, which heavily depends on the appropriate electrolyte system. Therefore, it is very important to select electrolytes that are hard to decompose and conducive to modulating the growth kinetics of discharge products. Herein, we will review the current progress and challenges of non‐aqueous liquid electrolytes for LOBs by analyzing the influence factors on electrolyte stability and introducing the design and modification methods of electrolytes with different solvent types. At last, the possible research tactics have been proposed to develop advanced electrolytes for improving electrochemical performance of LOBs.

Theory-Guided Design of Unconventional Phase Metal Heteronanostructures for Higher-Rate Stable Li-CO2 and Li-Air Batteries.

Lithium-carbon dioxide (Li-CO2) and Li-air batteries hold great potential in achieving carbon neutral given their ultrahigh theoretical energy density and eco-friendly features. However, these Li-gas batteries still suffer from low discharging-charging rate and poor cycling life due to sluggish decomposition kinetics of discharge products especially Li2CO3. Here we report the theory-guided design and preparation of unconventional phase metal heteronanostructures as cathode catalysts for high-performance Li-CO2/air batteries. The assembled Li-CO2 cells with unconventional phase 4H/face-centered cubic (fcc) ruthenium-nickel heteronanostructures deliver a narrow discharge-charge gap of 0.65 V, excellent rate capability and long-term cycling stability over 200 cycles at 250 mA g-1. The constructed Li-air batteries can steadily run for above 150 cycles in ambient air. Electrochemical mechanism studies reveal that 4H/fcc Ru-Ni with high-electroactivity facets can boost redox reaction kinetics and tune discharge reactions towards Li2C2O4 path, alleviating electrolyte/catalyst failures induced by the aggressive singlet oxygen from solo decomposition of Li2CO3.

Theory‐Guided Design of Unconventional Phase Metal Heteronanostructures for Higher‐Rate Stable Li‐CO2 and Li‐Air Batteries

AbstractLithium‐carbon dioxide (Li‐CO2) and Li‐air batteries hold great potential in achieving carbon neutral given their ultrahigh theoretical energy density and eco‐friendly features. However, these Li‐gas batteries still suffer from low discharging‐charging rate and poor cycling life due to sluggish decomposition kinetics of discharge products especially Li2CO3. Here we report the theory‐guided design and preparation of unconventional phase metal heteronanostructures as cathode catalysts for high‐performance Li‐CO2/air batteries. The assembled Li‐CO2 cells with unconventional phase 4H/face‐centered cubic (fcc) ruthenium‐nickel heteronanostructures deliver a narrow discharge‐charge gap of 0.65 V, excellent rate capability and long‐term cycling stability over 200 cycles at 250 mA g−1. The constructed Li‐air batteries can steadily run for above 150 cycles in ambient air. Electrochemical mechanism studies reveal that 4H/fcc Ru−Ni with high‐electroactivity facets can boost redox reaction kinetics and tune discharge reactions towards Li2C2O4 path, alleviating electrolyte/catalyst failures induced by the aggressive singlet oxygen from solo decomposition of Li2CO3.

Very low Ru loadings boosting performance of Ni-based dual-function materials during the integrated CO2 capture and methanation process

Herein, the effect of the Ru:Ni bimetallic composition in dual-function materials (DFMs) for the integrated CO2 capture and methanation process (ICCU-Methanation) is systematically evaluated and combined with a thorough material characterization, as well as a mechanistic (in-situ diffuse reflectance infrared fourier-transform spectroscopy (in-situ DRIFTS)) and computational (computational fluid dynamics (CFD) modelling) investigation, in order to improve the performance of Ni-based DFMs. The bimetallic DFMs are comprised of a main Ni active metallic phase (20 wt%) and are modified with low Ru loadings in the 0.1–1 wt% range (to keep the material cost low), supported on Na2O/Al2O3. It is shown that the addition of even a very low Ru loading (0.1–0.2 wt%) can drastically improve the material reducibility, exposing a significantly higher amount of surface-active metallic sites, with Ru being highly dispersed over the support and the Ni phase, while also forming some small Ru particles. This manifests in a significant enhancement in the CH4 yield and the CH4 production kinetics during ICCU–Methanation (which mainly proceeds via formate intermediates), with 0.2 wt% Ru addition leading to the best results. This bimetallic DFM also shows high stability and a relatively good performance under an oxidizing CO2 capture atmosphere. The formation rate of CH4 during hydrogenation is then further validated via CFD modelling and the developed model is subsequently applied in the prediction of the effect of other parameters, including the H2 inlet concentration, inlet flow rate, dual-function material weight, and reactor internal diameter.

UNLOCKING THE POTENTIAL OF BIOENERGY: A SUSTAINABLE SOLUTION FOR ENERGY SECURITY, WASTE MANAGEMENT, AND ENVIRONMENTAL CONSERVATION

The study was carried out to generate biogas from fresh cowdung. Proximate analysis on the cow-dung sample revealed moisture content to be 60.53%, Ash content 11.01%, total solids 39.47%, volatile matter 10.78%, protein content 12%, nitrogen content 1.6%, carbohydrate 5.68% and fixed carbon 17.68%. The pH and Temperature were measured daily at 2:00pm, the temperature ranged from 30OC-38OC and the pH range was 6.7 - 7.2. The gas produced was measured daily by calculating the volume with the height increased daily up to 36 days. The results showed a typical biogas production curve, consisting of lag, acceleration, maturation, and decline phases. The optimal retention time for biogas production is identified as 20-30 days, during which biogas yields are highest. The findings indicate that microorganisms require an initial adaptation period (Days 1-3) before biogas production commences, followed by a significant increase in production (Days 11-20) and a stable production rate (Days 21-30). A decline in production is observed after 30 days. This study highlights the importance of retention time in biogas production and demonstrates the need for monitoring production kinetics to optimize retention time for specific substrates and microbial communities. The results have implications for the design and operation of biogas production systems.

Growth and Production Kinetics, Extraction, and Characterization of Microbial Biosurfactants

The present study emphasizes the Growth, production and characterization of the biosurfactant produced by Pseudomonas aeruginosa, Micrococcus luteus and Serratia marcescens. These three isolates study for growth Kinetics and production kinetics. HPLC analysis of biosurfactant shows major peak and minor peak with different retention time on the basis of sample spend a different amount of time on the column according to its chemical composition.

Utilization of Neem Seed Oil as Surfactant in the Production of Flexible and Rigid Polyurethane Foam

Extraction and processing of polyether polyols derived from petrochemicals, commonly used as surfactants during polyurethane foam (PUF) production, contribute to carbon emissions and raises the issue of long-term sustainability given that petrochemicals are non-renewable resources. Here, 5 mg and 4 mg of neem seed oil are employed to form flexible and rigid PUF, classified purposefully based on their divergent usage. To find an environmentally friendly replacement, flexible PUF whose mass, volume, density, compression, tensile strength, cream time, foam rise and rising time are 0.0047 kg m3, 16.52 kg/m3, 8.10%, 39.28 kN/m2, 60s, 10s and 60s is formed by mixing 1.25 kg polyol, 5mg silicon oil and 10g calcium carbonate (CaCO3). Likewise, by mixing 1.2 kg polyol, 4mg silicon oil and 8g CaCO3, a rigid PUF with 0.005kg, m3, 16.2 kg/m3, 8.15%, 40.72 kN/m2, 50s, 15 cm and 58s key, physical and mechanical property as respectively listed under the flexible PUF formulation is produced. Both foams were produced using equal amounts of toluene diisocyanate, water, stannous octoate and methylene chloride, resulting in PUF that can be used in insulation, cushioning and construction support applications based on their characteristic height, density, tensile strength and compressive strength. As the surfactant, neem seed oil's potential in the synthesis of PUF cannot be overemphasized. The study of the kinetics of PUF production is limited and should trigger the adoption of biobased surfactants for industrial applications in the future.

Using Azolla (Azolla microphylla) leaf meal and phytonutrient powder on rumen fermentation efficiency and nutrient degradability using in vitro technique.

This work was to investigate the effect of using Azolla (Azolla microphylla) leaf meal and phytonutrient powder on rumen fermentation efficiency and nutrient degradability using in vitro technique. All respective treatments were imposed in a 2 × 4 × 2 Factorial arrangements according to a completely randomized design (CRD). The first factor was two ratios of roughage to concentrate (R:C at 60:40, and 40:60), the second factor was Azolla (Azolla microphylla) powder (AMP) supplementation levels (0%, 3%, 6%, and 9% of the total substrate) and the third factor was Turmeric (Curcuma longa) powder (TUP) supplementation levels (0% and 2% of the total substrate). Cumulative gas production at 96 h, was affected by R:C and numerically increased by AMP and TUP supplementation (p<0.05). Gas production kinetics increased with the increasing ratio of concentrate and AMP supplementation whereas TUP supplement reduced gas production. In vitro DM degradability was remarkably increased (p<0.05) by the R:C ratio, AMP and TUP supplementation. However, increasing R:C ratio, AMP and TUP supplementation resulted in the concentration of propionate (C3) significantly increasing (p<0.05). Acetate (C2), C2:C3 ratio, and protozoal population were improved (p<0.05), while the methane production decreased. Under this study, the results were obtained under the supplementation level of 9% AMP and 2% TUP of total substrate, hence, the combined use is potentially beneficial. These results revealed a potential use of AMP and TUP as a supplement to improve rumen fermentation for ruminant feeding. Nevertheless, in vivo feeding trials should be further investigated using AMP and TUP as a source of protein and phytonutrient.

Optimum Level of Lactobacillus plantarum Supplementation as Probiotic on In Vitro Digestibility and Rumen Fermentation Products in Thai Native Cattle

The objective of this study was to determine in vitro gas production kinetics, and rumen fermentation products of total mixed ration (TMR) supplemented with different level of Lactobacillus plantarum supplementation in Thai native cattle. The experiment design was Completely Randomized Design (CRD). The in vitro procedure was completed using 200 mg DM of TMR and four different concentration of L. plantarum; CON (without supplementation of L. plantarum), T1 (107 CFU / mL of L. plantarum supplementation), T2 (108 CFU / mL of L. plantarum supplementation), and T3 (109 CFU / mL of L. plantarum supplementation). The samples were prepared in three replications and incubated for 96 hours for gas production. Rumen fermentation products (pH, NH3, VFA) and digestibility experiment were done in four replications and incubated for 24 hours. In vitro gas production for 96 hours, gas production from insoluble fraction (b), and potential extent of gas production (|a|+b) were improved in the T1 and T2 groups (P &lt; 0.05). The in vitro dry matter and organic matter digestibility, and true digestibility were particularly enhanced in the T1 group compared to other treatments (P &lt;0.05). The pH and NH3 in this study were significantly affected (P&lt;0.05). The significant improvements on the in vitro rumen fermentation products and digestibility endorse L. plantarum supplementation at concentration of 107 CFU/mL as probiotic candidate.

MATHEMATICAL MODELLING OF DRYING PROCESS

The aim of this study is to experimentally investigate the drying kinetics of common basil using a solar drying unit. The tests consist in studying the effect of constant and variable drying air temperature on the drying kinetics. In this empirical approach, we aim to determine and compare drying characteristic curves under conditions where the drying air temperature is constant or variable. Subsequently, correlations describing the drying rate will be developed, these will be used at a later stage to size and model the solar dryer. Few numerical models have been used in the literature to explain the drying kinetics of common basil, in fact, given the complexity of the transport mechanisms and the diversity of products, a single model cannot represent all situations. This justifies an experimental study in the laboratory to determine the drying kinetics of a particular product.

Implementation of an app-based time-temperature-indicator system for the real-time shelf life prediction in a pork sausage supply chain

Time-temperature-indicators (TTIs) combined with predictive modeling are helpful tools for avoiding the increasing amount of food waste and the associated waste of resources along the food supply chain. Successful implementation of these systems in practice is still absent due to missing digital technologies for real-time shelf life prediction. This study aimed to validate a novel app system developed for the digital read-out of OnVu™ TTIs and the shelf life prediction of perishable products along the raw pork sausage supply chain. Therefore, a kinetic shelf life model of raw pork sausage was developed based on microbial parameters. A dynamic TTI model was developed based on app-measured TTI data and validated on a laboratory scale to prepare for the pilot study. In the pilot study, the shelf life prediction of TTIs based on app measurements was validated under practical conditions. Results showed that the spoilage kinetics of raw pork sausage could, in general, be reflected by the OnVu™ TTI kinetics based on the app's color measurements. The pilot study showed that predicted and measured TTI color values by the app were in good agreement with accuracy factors of 1.02–1.03; however, slight differences in shelf lives revealed that the prediction model must be further improved by integrating more data. Although variances in the hourly range could be seen between the predicted shelf life based on TTI app measurements and the real shelf life of raw pork sausage, the study serves as a proof of concept for the general useability of the app for shelf life prediction because it showed that TTI and product kinetics were highly comparable. Further technical adjustments to the app and the adaptation of the charging time may further improve the shelf life prediction by the app along the raw pork sausage supply chain.

Impact of Organic Load on Methane Yields and Kinetics during Anaerobic Digestion of Sugarcane Bagasse: Optimal Feed-to-Inoculum Ratio and Total Solids of Reactor Working Volume

The effect of increasing organic load on the specific methane yields (SMYs) and kinetics of methane production during the anaerobic digestion (AD) of sugarcane bagasse (SB) was investigated in batch experiments at 37 °C. The organic load of the batch AD system was increased based on an increase in the feed-to-inoculum (F/I) ratio (T1–T5) and increase in the Total Solids (TS)% of the working volume (T6–T10). The results show that in both the treatment sets, an increase in organic load led to a decrease in SMY. Higher organic loads in terms of F/I ratio (T4 and T5) were inhibited due to Volatile Fatty Acid (VFA) accumulation. On the other hand, higher organic loads (T8, T9 and T10) in terms of the higher TS% of the working volume was inhibited by the accumulation of NH4-N. Thus, an organic load of 50 gVS/L at an F/I ratio = 1.0 and TS = 10% (T3) was found to be the highest organic load that had no significant inhibitions among the tested treatments. The results from the kinetic studies show that the first-order kinetic model is the best fit for the SMY data, with average differences% of 2.32% and 3.13% for treatments T1–T5 and T6–T10, respectively.

Optimizing bioprocessing efficiency with OptFed: Dynamic nonlinear modeling improves product-to-biomass yield

Biotechnological production of recombinant molecules relies heavily on fed-batch processes. However, as the cells' growth, substrate uptake, and production kinetics are often unclear, the fed-batches are frequently operated under sub-optimal conditions. Process design is based on simple feed profiles (e.g., constant or exponential), operator experience, and basic statistical tools (e.g., response surface methodology), which are unable to harvest the full potential of production.To address this challenge, we propose a general modeling framework, OptFed, which utilizes experimental data from non-optimal fed-batch processes to predict an optimal one. In detail, we assume that cell-specific rates depend on several state variables and their derivatives.Using measurements of bioreactor volume, biomass, and product, we fit the kinetic constants of ordinary differential equations. A regression model avoids overfitting by reducing the number of parameters. Thereafter, OptFed predicts optimal process conditions by solving an optimal control problem using orthogonal collocation and nonlinear programming.In a case study, we apply OptFed to a recombinant protein L fed-batch production process. We determine optimal controls for feed rate and reactor temperature to maximize the product-to-biomass yield and successfully validate our predictions experimentally. Notably, our framework outperforms RSM in both simulation and experiments, capturing an optimum previously missed. We improve the experimental product-to-biomass ratio by 19% and showcase OptFed's potential for enhancing process optimization in biotechnology.

A Kinetic Trapping Approach for Facile Access to 3FaxNeu5Ac and a Photo-Cross-Linkable Sialyltransferase Probe.

Sialic acid (Neu5Ac) is installed onto glycoconjugates by sialyltransferases (STs) using cytidine monophosphate-Neu5Ac (CMP-β-d-Neu5Ac) as their donor. The only class of cell-active ST inhibitors are those based on a 3FaxNeu5Ac scaffold, which is metabolically converted into CMP-3FaxNeu5Ac within cells. It is essential for the fluorine to be axial, yet stereoselective installation of fluorine in this specific orientation is challenging. Sialic acid aldolase can convert 3-fluoropyruvate and 2-acetamido-2-deoxy-d-mannopyranose (ManNAc) to 3FNeu5Ac, but stereocontrol of the fluorine in the product has not been possible. We hypothesized that the 3Fax kinetic product of a sialic acid aldolase reaction could be trapped by coupling with CMP-sialic acid synthetase to yield CMP-3FaxNeu5Ac. Here, we report that highly active CMP-sialic acid synthetase and short reaction times produce exclusively CMP-3FaxNeu5Ac. Removal of CMP from CMP-3FaxNeu5Ac under acidic conditions unexpectedly led to 3-fluoro-β-d-Neu5Ac 2-phosphate (3FaxNeu5Ac-2P). Alkaline phosphatase successfully converted 3FaxNeu5Ac-2P to 3FaxNeu5Ac, enabling stereochemically controlled access to 3FaxNeu5Ac, which is effective in lowering the sialoglycan ligands for Siglecs on cells. Moreover, our kinetic trapping approach could be used to access CMP-3FaxNeu5Ac with modifications at the C5, C9, or both positions, which enabled the chemoenzymatic synthesis of a photo-cross-linkable version of CMP-3FaxNeu5Ac that selectively photo-cross-linked to ST6GAL1 over two other STs.

Enhancing anaerobic digestion of food waste for biogas production: Impact of graphene nanoparticles and multiwalled nanotubes on direct interspecies electron transfer mechanism

The present research investigated the effect of two carbonaceous materials, multiwalled carbon nanotubes (MWCNTs), and graphene nanoparticles (GNPs), on biogas yield from food waste (FW) in an anaerobic digestion system for 30 days. Lab scale investigations were conducted in batch mode in 250 mL glass reactor bottles and the findings were compared to the control reactor. The performance of the experimental procedure was assessed in terms of biogas output and organic matter reduction. The addition of 100 mg/L multiwalled carbon nanotubes and 100 mg/L GNPs increased the cumulative biogas production (33.55 % and 81.16 %, respectively) while decreasing the total solid content (about 25.95 % and 24.95 %, respectively). However, increasing the concentration of both carbon nanomaterials from 100 mg/L to 500 mg/L reduced the total biogas production compared to the control, which can be attributed to cytotoxic effects. A microbial diversity study was performed using 16S amplicon sequencing to understand the changes occurring in the microbial ecology. The predominant phyla found during diversity analysis were Firmicutes, Proteobacteria, Actinobacteriota, and Bacteroidota. Finally, addition of carbonaceous nanomaterials to the anaerobic reactors favours organic matter degradation through the DIET mechanism. It improves the biogas production kinetics and productivity during the anaerobic digestion of FW up to a certain dose.

Isothermal co‐pyrolytic kinetics investigation of polystyrene/polymethyl methacrylate blended Bakelite

AbstractThe widespread use of Bakelite, polystyrene (PS), and polymethylmethacralate (PMMA) has caused significant pollution, requiring advanced recycling methods. Pyrolysis, co‐pyrolysis, and catalytic co‐pyrolysis are key for recycling these wastes, necessitating kinetic studies and specific reactor designs of their thermal degradation. Isothermal thermogravimetric analysis at 300, 350, 400, 450, and 500°C was used to study thermal degradation kinetics, based on the non‐isothermal degradation zone of Bakelite. The batch pyrolysis of discarded Bakelite and PS/PMMA–Bakelite blends was conducted at 450°C. The thermal decomposition of Bakelite and its blends increases with higher isothermal pyrolytic temperatures. The addition of PS or PMMA to Bakelite substantially accelerates its thermal decomposition. The maximum weight loss of Bakelite, PS–Bakelite, and PMMA–Bakelite are 55%, 96.75%, and 89.51% at 500°C, respectively. The kinetic analysis is crucial for designing specific reactors, utilizing the D1‐diffusion‐based method for Bakelite, with an activation energy (Ea) of 17.178 kJ/mol and Arrhenius constant (A) of 0.095 min−1. The A2‐ and A3‐Avrami–Erofeyev methods explain the isothermal degradation of PS–Bakelite and PMMA–Bakelite blends, with activation energies of 9.031 and 12.59 kJ/mol, and Arrhenius constants of 0.056 and 0.075 min−1, respectively. The co‐pyrolysis of PS–Bakelite yields the highest condensable products (66.76%) and needs the longest reaction time (320 min). The Fourier transform Infrared (FTIR) and gas chromatography–mass spectrometry (GC–MS) analyses confirm the presence of alkanes, cycloalkanes, alkenes, cycloalkenes, aromatic hydrocarbons, and oxygenated compounds in the pyrolytic oils. This study provides unique kinetic parameters and product analyses, showing effects of blending on the decomposition rates and yields valuable compounds, advancing recycling technologies.

Evaluation of the electrical energy potential of biowaste with methane production kinetics and environmental impact for northeastern region of India

Developing and assessing sustainable energy systems have gained more attention in the circular economy and national growth context as the global energy crisis intends new initiatives. So, this paper aims to evaluate the electrical energy potential of bio-waste from livestock and poultry in the selected area of northeastern India using Waste to Energy (WtE) technology. The environmental impact assessment is also performed with Global Warming Potential (GWP), Acidification Potential (AP), and Dioxin Emission Potential (DEP). The kinetics of methane production are analyzed for two different seasons, summer and winter, by evaluating Bio-Methane Production (BMP). Further, the potential of electric energy and environmental impacts, including kinetics, are assessed. To achieve this, the livestock and poultry population is forecasted using a data-driven model, and the waste profile is estimated. In addition, an optimization algorithm is used to maximize methane production when kinetics are included. The obtained results are compared for cases without and with kinetics in methane production from livestock and poultry manure, and then validated with existing literature. Finally, this study examines the economic feasibility of bio-generation potential to meet the real-time load of the selected site. Accordingly, this work helps in the planning and designing of bioenergy power plants.