Total Production Research Articles

Do maternal allocations towards offspring quality and quantity ameliorate the effects of predators on offspring survival?

AbstractReproductive allocation is often balanced between the quantity and quality of offspring. Ecological stresses, like exposure to predators, can cause organisms to shift their allocations along this continuum. While the consequences of such plastic shifts for offspring performance are often untested, they are critical to understanding the potential long‐term benefits of manipulating predation risk as an agricultural pest management technique. Predation risk induces reductions in egg production and increases in nutritional condition due to maternal provisioning in Colorado potato beetles (Leptinotarsa decemlineata, CPB). Here, we tested whether reductions in density or increases in offspring condition, which may increase per‐capita larval survival, can compensate for the reduction in total egg production, especially when offspring are exposed to predators. In two field trials, we manipulated density and condition of larval CPB and measured survival through development to adulthood in field cages with and without predaceous stink bugs (Podisus maculiventris). As expected, cages with the higher initial larval densities had more larvae and adults surviving in the treatments without predators – about 30%–50% survival across densities. When predators were present, this relationship did not hold because of density‐dependent predation. Larval condition interacted with density and impacted larval survival in both trials albeit in different ways. In trial 1, unprovisioned beetles had higher survival at the higher densities; in trial 2, provisioned beetles had higher survival across densities. Synthesis and Applications: Overall, our test of the effects of predation risk via manipulations of larval density and condition revealed few net compensatory benefits to the prey of reduced density and higher condition. Benefits to the prey of shifts in allocation from the quantity to quality of offspring may depend on factors that influence the strength of density dependence, including predation intensity. Our results suggest a new strategy of taking advantage of the reductions in prey density due to non‐consumptive effects of predators as a pest management approach to protect plants.

Analysis of the Hybrid Power-Heating System in a Single-Family Building, along with Ecological Aspects of the Operation

This study evaluates a hybrid heating system in a single-family building in northeastern Poland, which has a temperate continental climate. The analysis covers two heating seasons in 2021/2022 and 2022/2023. The hybrid heating system includes an air heat pump HPA–08 CS Plus with a heating power of 8.2 kW (AHP), a condensing gas boiler VC146/5–5 with a power of 14 kW (GB–Condens.), and a solid fuel boiler with a power of 11 kW for central heating. Additionally, hot water is heated by a Basic 270 (DHW’s AHP) air–water heat pump with a power of 2 kW, utilizing a tank with a capacity of 270 dm3 equipped with two heating coils. The building’s average electricity consumption is around 5400 kWh/year. A 4.96 kWp photovoltaic installation is installed on the building’s roof at a 40° angle towards the south to supplement the hybrid system. The study aims to assess whether the PV installation can adequately cover the energy needs of the hybrid heat source for heating and hot water. Furthermore, the study calculates the emission of pollutants (CO2, SOx, NOx, CO, and PM10) into the atmosphere. The total annual electricity production from PV installations was 5444.9 kWh in 2021/2022 and 5684.8 kWh in 2022/2023. The excess electricity was stored in the PGE power grid as per the Prosumer settlement rules. The installed PV installation is sufficient to power the following devices annually: AHP, DHW’s AHP, and GB–Condens. However, the daily electricity production from the PV installation is not enough to cover the energy needs of the heat pump for heating during the cold months in Poland (I–III, XI–XII). It can meet the power needs of a PC all year round and can also be stored during the summer months, for example, in energy warehouses or by directly storing it in the PGE power grid. The use of the PV installation resulted in an average reduction in pollutant emissions into the atmosphere: CO2—94.1%, SOx—91.8%, NOx—95.6%, CO—9.7%, and PM10—32.1%.

Food Web Structure and Ecosystem Functions of the Water Source in the Middle Route of China’s South-to-North Water Diversion Project

The Danjiangkou Reservoir is the water source of the middle route of China’s South-to-North Water Diversion Project, encompassing the Dan Reservoir and Han Reservoir. However, little is known about the ecological functions of this important ecosystem. Based on a survey conducted in 2023 in the Dan Reservoir, a mass balance model was constructed using Ecopath with Ecosim 6.6 software to characterize its food web structure and ecosystem properties. The model consisted of 18 functional groups, including producers, consumers, and detritus, covering the entire process of energy flow in the ecosystem. The outputs indicated that the fractional trophic level of functional groups in the Dan Reservoir ecosystem ranged from 1.00 to 3.50. The ecotrophic efficiencies of the main economic fish species were all less than 0.9, and the ecotrophic efficiencies of phytoplankton and detritus were less than 0.5. There were two main food chains: the detritus food chain (39%) and the grazing food chain (61%). The total energy transfer efficiency between trophic levels was only 6.02%, and there was a significant phenomenon of energy transfer blockage between trophic levels II and V. Analysis of the overall characteristics of the ecosystem revealed that the total primary production to total biomass (67.96619), connectance index (0.274), and Finn’s cycling index (2.856) of the Dan Reservoir ecosystem all indicate that the ecosystem is immature, with low nutrient recycling efficiency and poor resistance to external disturbances. This may be related to the low proportion of silver carp and bighead carp in the reservoir and the unreasonable structure of the fish community. Our results suggest that it is necessary to scientifically adjust the structure of the fish community, enhance the proportion of filter-feeding and omnivorous fish to improve the energy flow efficiency, and promote the maturity and stability of the Dan Reservoir.

Blocking miR396 activity by overexpression MIM396 improved switchgrass tiller number and biomass yield.

MicroRNA396 (miR396) plays an important role in the regulation of plant growth and development by repressing the expression level of its target growth-regulating factor (GRF) family genes. In our previous study, we found that overexpression of miR396 negatively regulated both tillering and biomass yield in switchgrass (Panicum virgatum L.). We, therefore, speculated that blocking the expression of miR396 could enhance switchgrass tillering and biomass yield. Here, we produced transgenic switchgrass plants overexpressing a target mimicry form of miR396 (MIM396) in wild type (WT) and Os-MIR319b overexpressing switchgrass plant (with higher enzymatic hydrolysis efficiency, but reduced tillering), in which the expression of miR396 was blocked. The phenotype and biological yields of these plants were analyzed. Blocking miR396 to improve its target PvGRFs expression in switchgrass improved the tiller number and dry weight of transgenic plants. Further morphological analysis revealed that MIM396 plants increased the number of aerial branches and basal tillers compared to those of wild-type plants. The enzymatic efficiency of MIM396 plants was reduced; however, the total sugar production per plant was still significantly higher than that of wild-type plants due to the increase in biomass. In addition, blocking miR396 in a transgenic switchgrass plant overexpressing Os-MIR319b (TG21-Ms) significantly increased the PvGRF1/3/5 expression level and tiller number and biomass yield. The miR156-target gene PvSPL4, playing a negative role in aerial and basal buds outgrowth, showed significant downregulated in MIM396 and TG21-Ms. Those results indicate that miR396-PvGRFs, through disrupting the PvSPL4 expression, are involved in miR319-PvPCFs in regulating tiller number, at least partly. MIM396 could be used as a molecular tool to improving tiller number and biomass yield in switchgrass wild type and miR319b transgenic plants. This finding may be applied to other graminaceous plants to regulate plant biological yield.

An improved passive solar still integrated with pulsating heat pipes and phase change materials

This paper presents a theoretical analysis of a novel solar still system, which was previously explored through experimental studies. The experimental results demonstrate that integrating phase change material (PCM) to store latent heat from vapor condensed on sidewalls during sunlight exposure, along with the use of pulsating heat pipes (PHPs) to recover this stored energy after sunset, and cooling the condenser sidewalls with PCM, significantly boosts the system’s efficiency from 23.7 % to 48.5 %. These innovative features, applied for the first time in a single-stage passive solar still, are thoroughly examined using a groundbreaking mathematical model. This model is the first to uniquely account for heat transfer and condensation on sidewalls and to accurately simulate the function of pulsating heat pipes (PHPs) within a passive solar still setup. By incorporating measured radiation intensity and ambient temperatures, the model applies an exhaustive energy balance, utilizing heat transfer correlations and resistances for precise temperature predictions of each component. This detailed analysis highlights the system’s innovative aspects and identifies areas for further refinement, shedding light on potential improvements and the system’s limitations. The results show a water production of 6.7931 kg/m2 and an efficiency of 52.2 %, with a discrepancy of 7.8 % compared to experimental findings. Notably, 37.6 % of the total freshwater production is derived from sidewall condensation, significantly reducing heat loss by capturing latent heat. Additionally, by reallocating 9.3 % of stored energy, the PHPs maintain the saline water temperature 6.2 degrees higher at night, thereby sustaining elevated production rates.

Influence of Motivation and Work Competence on Employee Performance

This study investigates how work motivation and competency impact employee performance at a marketing-related organization. The research focused on work motivation and competence because these factors are critical in determining an individual's success within the organization's framework. The regression analysis method examines Employee performance in connection to these variables. Based on the research findings, motivation has a total influence of 40.7% on employee performance, making it the most significant factor. Motivation is an innate desire that propels people to accomplish the objectives they set for themselves at work. A high level of motivation can boost workers' morale, commitment, and work ethic. Managers must comprehend and use the elements that inspire workers, such as rewards for accomplishments, chances for professional growth, and suitable incentives. However, with a total influence of 27.3%, work competency also has a noteworthy impact on employee performance. Job competencies are the set of abilities, attitudes, and knowledge required to succeed in a specific work. Workers with solid work abilities are typically better equipped to perform their jobs quickly and effectively. As a result, the organization's management must be dedicated to enhancing worker competency through development, training, and ongoing education. With a coefficient of determination value of 68.1%, the analysis demonstrates that the influence of both job competence and motivation significantly influences variations in employee performance. Nonetheless, these two factors account for just about 31.9% of the variability in performance. External variables like the workplace, organizational policy, external economic situations, and internal employee considerations may also impact employee performance. These results give the organization's management helpful information for creating plans and policies that enhance worker performance. Enhancing work competence and staff motivation can be a significant starting point. To improve effectiveness, businesses must also consider other aspects affecting employee performance. The study highlights the significance of work motivation and competence as critical elements influencing employee performance in a marketing-related organization. Enterprises are expected to enhance their total performance, production, and efficiency by comprehending and controlling these aspects. To improve knowledge of the variables affecting worker performance and to pinpoint more targeted approaches to boosting competence and motivation at work, further study can be done.

Measurement of Light Interception by Crops under Solar Panels using PARbars

To analyse agrivoltaics systems and understand crop responses to shading, measurements of available light for the crop and light interception by the crop are important. Especially in row crops, there is a lot of variation in the amount of light at different heights, different positions relative to the row and over time. This spatial and temporal variation in light is difficult to capture with standard point measurement technology. Commercially available line quantum sensors are not long enough to cover the desired width within an agrivoltaics system and come at high cost. Therefore, custom made PARbars were used: bars of 1.5 m long having light sensors every 5 cm facing the sky and giving a total (line) irradiance value per time step. PARbars were installed above and below a raspberry crop row in both the agrivoltaics system and the control with a plastic foil cover, and a point sensor was installed in the open field. The difference between open field radiation and the top PARbar gives the light interception by the panel construction or the foil cover, the difference between the top and bottom PARbar gives the light interception by the crop. This information can be used in conjunction with destructive crop measurements to analyse impacts on leaf area and light interception, dry matter production and derived efficiency of photosynthesis. The crop in the current agrivoltaics system received half of the amount of light compared to the control system, but total biomass production was less reduced because of compensation by increasing specific leaf area and photosynthesis efficiency. Further analysis is needed to evaluate the agrivoltaics system and the impact of increasing shade on the crop, and to assess the trade-off between electricity production and crop production.

A Simple and Efficient Magnesium Hydroxide Modification Strategy for Flame-Retardancy Epoxy Resin

Magnesium hydroxide, as a green inorganic flame-retardancy additive, has been widely used in polymer flame retardancy. However, magnesium hydroxide is difficult to disperse with epoxy resin (EP), and its flame-retardancy performance is poor, so it is difficult to use in flame-retardant epoxy resin. In this study, an efficient magnesium hydroxide-based flame retardant (MH@PPAC) was prepared by surface modification of 2-(diphenyl phosphine) benzoic acid (PPAC) using a simple method. The effect of MH@PPAC on the flame-retardancy properties for epoxy resins was investigated, and the flame-retardancy mechanism was studied. The results show that 5 wt% MH@PPAC can increase the limiting oxygen index for EP from 24.1% to 38.9%, achieving a V-0 rating. At the same time, compared to EP, the peak heat release rate, peak smoke production rate, total smoke production rate, and peak CO generation rate for EP/5 wt% MH@PPAC composite material decreased by 53%, 45%, 51.85%, and 53.13% respectively. The cooperative effect for PPAC and MH promotes the formation of a continuous and dense char layer during the combustion process for the EP-blend material, significantly reducing the exchange for heat and combustible gases, and effectively hindering the combustion process. Additionally, the surface modification of PPAC enhances the dispersion of MH in the EP matrix, endowing EP with superior mechanical properties that meet practical application requirements, thereby expanding the application scope for flame-retardant EP-blend materials.

A quantitative assessment of Geant4 for predicting the yield and distribution of positron-emitting fragments in ion beam therapy.

To compare the accuracy with which different hadronic inelastic physics models across ten Geant4 Monte Carlo simulation toolkit versions can predict positron-emitting fragments produced along the beam path during carbon and oxygen ion therapy.

Materials and Methods: Phantoms of polyethylene, gelatin or poly(methyl methacrylate) were irradiated with monoenergetic carbon and oxygen ion beams. Post-irradiation, 4D PET images were acquired and parent11C,10C and15O radionuclides contributions in each voxel were determined from the extracted time activity curves. Next, the experimental configurations were simulated in Geant4 Monte Carlo versions 10.0 to 11.1, with three different fragmentation models - binary ion cascade (BIC), quantum molecular dynamics (QMD) and the Liege intranuclear cascade (INCL++) - 30 model-version combinations. Total positron annihilation and parent isotope production yields predicted by each simulation were compared between simulations and experiments using normalised mean squared error and Pearson cross-correlation coefficient. Finally, we compared the depth of maximum positron annihilation yield and the distal point at which positron yield decreases to 50% of peak between each model and the experimental results.

Results: Performance varied considerably across versions and models, with no one version/model combination providing the best prediction of all positron-emitting fragments in all evaluated target materials and irradiation conidiations. BIC in Geant4 10.2 provided the best overall agreement with experimental results in the largest number of test cases. QMD consistently provided the best estimates of both the depth of peak positron yield (10.4 and 10.6) and the distal 50%-of-peak point (10.2), while BIC also performed well and INCL generally performed the worst across most Geant4 versions.

Conclusions: Best spatial prediction of annihilation yield and positron-emitting fragment production during carbon and oxygen ion therapy was found to be 10.2.p03 with BIC or QMD. These version/model combinations are recommended for future heavy ion therapy research.

Persistence of fisheries production: a disaggregated analysis in 31 OECD Countries

Previous studies have focussed on different aspects of fisheries production in several countries. However, the literature has been largely silent on the persistence of fisheries production, which has numerous important policy implications. In this article, we examine time series data corresponding to fisheries production in a group of 31 OECD countries. The analysis focuses on three distinct production series for each country: total fisheries production, aquaculture production, and capture fisheries production, and the time period spans from 1960 to 2020. Using fractional integration methods, the empirical findings provide evidence for persistence in fisheries production and its two components in the majority of the OECD countries examined. Persistence is observed in 29 countries in the case of the total fisheries production, 28 countries in the case of capture fisheries production, and 28 countries in the case of aquaculture production. Evidence of mean reversion is observed in Chile and Colombia for the total fisheries production, and in Belgium, Colombia, and Israel for the capture fisheries production. There is support for mean reversion in aquaculture production data for France, the Netherlands and Poland. An implication of the results is that shocks to the fisheries production or its components are permanent or long-term in nature. Therefore, long-term measures are need to address any disruptions in the fishery sector.

A systematic reliability-centred maintenance framework with fuzzy computational integration – a case study of manufacturing process machinery

PurposeThis study presents a systematic framework for maintenance strategy development of manufacturing process machinery. The framework is developed based on the reliability-centred maintenance (RCM) approach to minimise the high downtime of a production line, thus increasing its reliability and availability. A case study of a production line from the ghee and soap manufacturing industry in Taiz, Yemen, is presented for framework validation purposes. The framework provides a systematic process to identify the critical system(s) and guide further investigation for functional significant items (FSIs) based on quantitative and qualitative analyses before recommending appropriate maintenance strategies and specific tasks.Design/methodology/approachThe proposed framework integrates conventional RCM procedure with the fuzzy computational process to improve FSIs criticality estimation, which is the main part of failure mode effect criticality analysis (FMECA) applications. The framework consists of four main implementation stages: identification of the critical system(s), technical analysis, Fuzzy-FMECA application for FSIs criticality estimation and maintenance strategy selection. Each stage has its objective(s) and related scientific techniques that are applied to systematically guide the framework implementation.FindingsThe proposed framework validation is summarised as follows. The first stage results demonstrate that the seaming system (top and bottom systems) caused 50% of the total production line downtime, indicating it is a critical system that requires further analysis. The outcomes of the second stage provide significant technical information on the subject (seaming system), helping team members to identify and understand the structure and functional complexities of the seaming system. This stage also provides a better understanding of how the seaming system functions and how it can fail. In stage 3, the application of FMECA with the fuzzy computation integration process presents a systematic way to analyse the failure mode, effect and cause of items (components of the seaming system). This stage also includes items’ criticality estimation and ranking assessment. Finally, stage four guides team members in recommending the appropriate countermeasures (maintenance strategies and task selection) based on their priority level.Originality/valueThis paper proposes an original maintenance strategies development framework based on the RCM approach for production system equipment. Specifically, it considers a fuzzy computational process based on the Gaussian function in the third stage of the proposed framework. Adopting the fuzzy computational process improves the risk priority number (RPN) estimation, resulting in better criticality ranking determination. Another significant contribution is introducing an extended item criticality ranking assessment process to provide maximum levels of criticality item ranking. Finally, the proposed RCM framework also provides detailed guidance on maintenance strategy selection based on criticality levels, unique functionality and failure characteristics of each FSI.

Artificial Floating Islands for the Removal of Nutrients and Improvement of the Quality of Urban Wastewater

A high amount of nutrients can be found in urban wastewater (UW), which makes it difficult to treat. The purpose of this research was to evaluate the potential of the aquatic macrophytes Eichhornia crassipes, Pistia stratiotes, and Salvinia molesta in the treatment of UW. To evaluate the potential of each macrophyte, phytoremediation bioassays were established; the hydraulic retention time for each bioassay was 15 days. The physicochemical analysis of the water samples considered pH, turbidity, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), chemical oxygen demand (COD), total carbon (TC), phosphates (PO43-P), nitrate (NO3-N), and total nitrogen (TN). To evaluate the phytoremediation potential of each plant, the bioconcentration factors (BCFs) and translocation factors (TFs) for NO3-N and PO43-P were evaluated. Likewise, the relative growth rates (RGRs) and total chlorophyll production of the macrophytes were measured. The results showed that the highest efficiency was achieved with the bioassays with E. crassipes, with removal values of 69.7%, 68.8%, 58.7%, 69.4%, 56.3%, and 40.9% for turbidity, COD, TOC, PO43-P, NO3-N, and TN, respectively. The phytoremediation potential results showed that, for BCF, the highest value was 4.88 mg/g of PO43-P with E. crassipes, and for TF, it was 6.17 mg/g of PO43-P with S. molesta. The measurement of RGR and total chlorophyll for E. crassipes showed an increase of 0.00024 gg−1d−1 and an increase of 4.5%, respectively. On the other hand, the other macrophytes suffered decreases in chlorophyll content and RGR. Thus, E. crassipes is defined as the macrophyte with the greatest potential for the UW phytoremediation process.

Agronomic potential of nine strawberry cultivars for two consecutive cycles in a greenhouse

The lack of information about strawberry cultivation for more than one production cycle ends up generating high costs for producers to acquire daughter plants to reestablish their crops. Therefore, aiming at technical alternatives for a transition to more sustainable crops, the objective of this work was to investigate whether strawberry cultivars grown in a greenhouse for two cycles differ in terms of yield potential and fruit chemical quality. The treatments were nine strawberry cultivars (‘Albion’, ‘Aromas’, ‘Camarosa’, ‘Camino Real’, ‘Fronteras’, ‘Merced’, ‘Monterey’, ‘Portola’, and ‘San Andreas’) and two production cycles (2019/2020 and 2020/2021), arranged in a randomized block design with six replications. The results showed that in the second cycle the ‘Aromas’, ‘Camarosa’, ‘Camino Real’, ‘Merced’, and ‘Monterey’ cultivars stood out in terms of the highest number of fruits produced. ‘Fronteras’ and ‘Merced’ had the highest total production of strawberries in the second cycle. ‘Merced’ and ‘Monterey’ produced the highest fruits in the first cycle and ‘Fronteras’ produced strawberries with the highest average fresh fruit mass in the second cycle. ‘Albion’ and ‘Camarosa’ stood out for the higher sugar content in the fruits produced. The least acidic and most flavorful strawberries were produced in the first cycle. In conclusion, strawberry cultivars grown in greenhouses for two cycles differ in terms of yield potential and chemical fruit quality. This study indicates that the nine cultivars can be grown for two consecutive cycles without compromising berry production.

Effects of spruce budworm defoliation on in-stream algal production and carbon use by food webs

Insect defoliation is a widespread cause of forest disturbance in Canada, and it has the potential to alter terrestrial carbon contributions to stream consumers and thus affect stream ecosystems. Although defoliation by spruce budworms ( Choristoneura fumiferana) is considered a natural disturbance with importance to forest succession, the magnitude and duration of outbreaks are increasing, and there is a growing need to understand their downstream consequences. To examine this, algal productivity and autochthonous (in-stream) energy supporting macroinvertebrate and fish consumers (using δ13C, δ15N) were examined in 12 streams in the Gaspé Peninsula, Québec, Canada, that ranged in watershed defoliation from spruce budworm. Hierarchical partitioning models were used to assess the contributions of watershed and stream variables to these endpoints. Total seasonal algal production ranged fourfold among sites, and cumulative defoliation was the strongest predictor. Consumers from streams with greater defoliation (cumulative or annual) had lower reliance on autochthonous carbon, despite increased algal production, and this effect was greater for brook trout than macroinvertebrates. These findings demonstrate for the first time that insect outbreaks—which alter forest structure and function—also similarly affect downstream aquatic ecosystems by causing changes in the production and contributions of carbon sources. This suggests that insect control strategies and forest management decisions should also consider implications for downstream aquatic ecosystems.

Critical Threshold-Based Heat Damage Evolution Monitoring to Tea Plants with Remotely Sensed LST over Mainland China

Tea plants (Camellia sinensis (L.) Kuntze) are a cash crop that thrive under warm and moist conditions. However, tea plants are becoming increasingly vulnerable to heat damage (HD) during summer growing seasons due to global climate warming. Because China ranks first in the world in both harvested tea area and total tea production, monitoring and tracking HD to tea plants in a timely manner has become a significant and urgent task for scientists and tea producers in China. In this study, the spatiotemporal characteristics of HD evolution were analyzed, and a tracking method using HD LST-weighted geographical centroids was constructed based on HD pixels identified by the critical LST threshold and daytime MYD11A1 products over the major tea planting regions of mainland China from two typical HD years (2013 and 2022). Results showed that the average number of HD days in 2022 was five more than in 2013. Daily HD extent increased at a rate of 0.66% per day in 2022, which was faster than that in 2013 with a rate of 0.21% per day. In two typical HD years, the tea regions with the greatest HD extent were concentrated south of the Yangtze River (SYR), with average HD pixel ratios of greater than 50%, then north of the Yangtze River (NYR) and southwest China (SWC), with average HD pixel ratios of around 40%. The regions with the least HD extent were in South China (SC), where the HD ratios were less than 40%. The HD LST-weighted geographical centroid trajectories showed that HD to tea plants in 2013 initially moved from southwest to northeast, and then moved west. In 2022, HD moved from northeast to west and south. Daily HD centroids were mainly concentrated at the conjunction of SYR, SWC, and SC in 2013, and in northern SWC in 2022, where they were near to the centroid of the tea planting gardens. The findings in this study confirmed that monitoring HD evolution of tea plants over a large spatial extent based on reconstructed remotely sensed LST values and critical threshold was an effective method benefiting from available MODIS LST products. Moreover, this method can identify and track the spatial distribution characteristics of HD to tea plants in a timely manner, and it will therefore be helpful for taking effective preventative measures to mitigate economic losses resulting from HD.

Amino acids production using pineapple plant stem by optimised one-step fermentation

BackgroundThe surge in global pineapple production has led to an excess of waste, demanding a sustainable approach for bioconversion. Despite its substantial volume, pineapple plant stems remain largely neglected, often discarded as on-farm waste. These stems, composed of intricate structures, necessitate a multi-step process for effective bioconversion. A promising alternative involves a single-step approach using microorganisms to combine hydrolysis and fermentation processes, yielding significant amino acid production from pineapple plant stems. This is aligned with Sustainable Development Goals 13 in reducing carbon dioxide and greenhouse gas emissions from traditional waste disposal methods.ResultsThe utilisation of Bacillus subtilis ATCC 6051 for amino acid production demonstrated success, yielding 1.28 mg/mL of total free amino acids with a remarkable 67.13 mg/g yield. This represents a 13% increase in concentration and a 12% boost in yield compared to commercial starch. The study underscores the pivotal role of medium composition, highlighting the significance of pineapple plant stems as a substrate and other key components to enhance amino acid production.ConclusionNotably, the study achieved a substantial improvement in total amino acids production, reaching 9.57 mg/mL with a yield of 423.97 mg/g—an impressive 6.32-fold increment. This emphasises the enhanced potential of pineapple plant stems as a valuable resource for amino acid production, shedding light on the importance of optimising medium composition for maximum yield.Graphical

Evaluation of the potential of activated sludge biomass from Nigeria as a feedstock for biodiesel production

AbstractDepleting fossil fuel reserves and the effects of greenhouse gases on climate change have led to the investigation of alternative energy sources such as biofuel, including biodiesel and renewable diesel. Unfortunately, the cost of the feedstock exceeds 70% of the total production cost. The current work investigates the potential of utilizing a waste product (activated sludge biomass) from wastewater treatment, as an alternative feedstock for biodiesel production. The activated sludge biomass was pretreated with subcritical water to enhance the lipid yield before extracting the lipid using solvent extraction. The result showed that lipid yield from the activated sludge was 4.73–8.58%. After subcritical water pretreatment with varying residence time, temperature, and biomass loading, the lipid yield increased by 158.04–400%. Gas chromatography–mass spectrometry (GC–MS) analysis of the fatty acid methyl esters (FAME) from the transesterification of the lipid extract using calcined egg shell as a catalyst identified the following lipids: triglyceride, fatty acids, sphingolipid, phospholipid, glycerolipid, glycerophospholipid, steroid, and cholesterol. The predominant lipid was triglyceride, and the high percentage of unsaturated fatty acids, including arachidonic acid (23.54%), eicosadienoic acid (8.37%), and oleic acid (6.23%) suggest that the lipid extract is a potential feedstock for biodiesel production.

Blockchain design for optimal joint production and maintenance over multiple periods for oil-filling production lines

Joint maintenance and production planning result in enhanced system efficiency and a significant reduction in expensive costs. Therefore, this research proposed an integrated blockchain design of two optimization models for the joint scheduling and sequencing of production orders and maintenance jobs over multiple periods with probabilistic and stochastic parameters for the oil-filling process. In the scheduling model, the objective function was to minimize total production and maintenance costs. Further, the sequencing model aimed to minimize the total overtime cost and the sum start times of jobs and orders. The proposed models were implemented on five production lines of five-liter lube oil bottles. Results showed that the developed optimization models effectively achieved concurrent production and maintenance planning at minimal total cost. In practice, this results in effective resource utilization, and saving costly production and maintenance costs. In conclusion, the developed blockchain design is valuable in developing, managing, and controlling optimal joint production and maintenance planning of oil-filling production lines.

Effect of Milk Sources on Whey Protein and Fractions of Casein

Aim: Milk from Cow, Buffalo and goat was used for the study of isolation and fractionation of casein and whey proteins. Buffalo and goat milk were subjected to physicochemical attribute studies and a detailed protein profile namely total protein, casein fractions α-, β- and κ casein and whey protein were separated by urea fractionation method. The aim of this study was to compare various casein fractions isolated from cows, Buffalo and Goat milk. The method of separating casein into its fractions is based on the solubility of the individual components in urea the solution. The separation of casein fractions was carried out in dissolving molar concentration of urea and the yield of fractions and total protein percentages were calculated. Buffalo and goat milk have comparatively higher total protein and whey protein content as compared to cow milk. Maximum whey proteins found in goat milk (20.58%) whereas cow milk had the lowest whey protein (19.29%). Among casein fractions, α fraction (16.64%) was found maximum in Buffalo milk followed by cow (14.92%) and goat milk (5.42%). The goat milk showed the highest level of β casein (17.81%) whereas, the lowest concentration of β casein was found in cow milk (9.38%). Study Design: A significant contribution to the total milk production of India comes from buffalo milk and goat milk. Despite that, Buffalo milk and goat milk are not being utilized for many products because of difference in composition of different species milk and their inherent problems associated in the production of products. Place and Duration of Study: Karnataka Veterinary Animal and Fisheries Sciences University (KVAFSU), Dairy Science College, Hebbal, Bangalore Karnataka, India Materials: The Goat milk samples were collected from Sinchana Goat and Sheep farm, Marenahalli village (Bengaluru Rural Dist) and Buffalo milk was obtained from Country Delight Pvt. Ltd., J. P. Nagar, Bengaluru, Karnataka. Cow milk used in this investigation was collected from SEDP, Dairy Science College, Hebbal, Bengalore.. All the glassware used was soaked in chromic acid solution, repeatedly washed with water, rinsed with distilled water and dried before use. For microbiological analysis dried test tubes, conical flasks, pipettes were cotton plugged and sterilized in a hot air oven. The chemicals and reagents used in this study were mainly of analytical grade procured from Prince Laboratory Company Pvt. Limited, Bangalore. The protein molecular weight markers used for the electrophoretic study were procured from Bangalore Genei Pvt. Ltd. Methodology: Standard urea fractionation method adopted by Hipp et al was used for isolation and fractionation of caseins. Skim milk was prepared by subjecting whole milk for centrifugation, the skim milk obtained was acidified using 1 % hydrochloric acid at 200 C to obtain casein precipitate. Obtained whole casein was dissolved in 3.3 M urea at pH 7.5 and adjusted to pH 4.6 which precipitates the bulk of α casein and leaving k-caseins into soluble filtrates. Again the supernatant was adjusted to pH 4.9 diluted to 1.0 M urea and warmed to 300 C precipitating the β-caeisn. Further, addition of ammonium sulphate was used to isolate k-casein from the precipitate. Results: The sources of protein had a significant influence on the total casein, casein fractions and whey protein content of different species. The highest quantity of total caseins (34.30g/l) and whey protein (8.87 g/l) were observed in buffalo milk followed by cow (28.52 g/l) and lowest was observed in goat milk (28.45 g/l). Total protein, casein and whey protein contents were greatly affected by the source of milk. Conclusion: The significant effect of source of milk on total protein, casein, its fractions and their yield was observed. highest yield of casein (54.31%) was observed in cow milk than buffalo milk (48.95 %) and lower yield was found in goat milk. Amongst the three species, highest per cent of β casein was noted in goat milk (54.05 %) followed by buffalo (36.03%) and cow milk (34.14%). Recommendation: Rasagulla will be consumed universally by all age groups globally. Thus, the consumption of Rasagulla helps in providing overall nutritional requirements. However, the study has been conducted on a pilot scale. Moreover, commercial production may necessitate huge cost on enzymatic modification of proteins and separation peptides for value addition.

Fluctuating entropy production on the coarse-grained level: Inference and localization of irreversibility

Stochastic thermodynamics provides the framework to analyze thermodynamic laws and quantities along individual trajectories of small but fully observable systems. If the observable level fails to capture all relevant degrees of freedom, some form of effective, coarse-grained dynamics naturally emerges for which the principles of stochastic thermodynamics generally cease to be applicable straightforwardly. Our work unifies the notion of entropy production along an individual trajectory with that of a coarse-grained dynamics by establishing a framework based on snippets and Markovian events as fundamental building blocks. A key asset of a trajectory-based fluctuating entropy production is the ability to localize individual contributions to the total entropy production in time and space. As an illustration and potential application for inference we introduce a method for the detection of hidden driving. The framework applies equally to even and odd variables and, therefore, includes the peculiar case of entropy production in underdamped Langevin dynamics. Published by the American Physical Society 2024