Minimal Processing Research Articles

On the cost of zero carbon electricity: A techno-economic analysis of combined cycle gas turbines with post-combustion CO2 capture

To achieve a sustainable electricity grid, affordable and dispatchable power capacity that supports grid stability and does not increase atmospheric CO2 levels will be required. Combined cycle gas turbines (CCGTs) with post-combustion CO2 capture (PCC) can meet these requirements by capturing and permanently storing all combustion CO2 emissions and, coupled with negative emissions technologies, any remaining life-cycle emissions. For the first time, we present a comprehensive analysis of the technical and financial challenges of producing zero-carbon electricity from CCGTs on a life-cycle basis. We conclude that when the design is optimised, fossil CO2 capture fractions can be increased from 96% to 100% with minimal process modification, commercially available technology and an additional 0.5% decrease in thermal efficiency. This represents a significant 60–70% reduction in the additional efficiency penalty required to reach zero CO2 emission operation. The Cost of CO2 Avoided of 100% fossil CO2 capture is just 128 £/tCO2, a 3 £/tCO2 increase over the 95% gross CO2 capture fraction required to permit PCC projects in the UK. Indeed, within the bounds of the UK power CCS business model, we show that 100% fossil CO2 capture maximises both variable and capacity payments to the producer, resulting in a 2% decrease in the cost of power produced. For zero-carbon electricity on a life-cycle basis, the recapture and permanent geological storage of all remaining life-cycle CO2e emissions from plant construction & decommissioning, CO2 T&S network operation and the natural gas supply chain (operational CO2e emissions and methane leakage) increases the median Cost of CO2 Avoided to 178 £/tCO2 (130–371 £/tCO2), leading to the novel conclusion that a market mechanism equating to a CO2 price of over 178£/tCO2 is likely sufficient to incentivise the development of truly CO2-neutral CCGTs.

Utilization of Silica Filler as Reinforcement Material of Polylactic Acid (PLA) in 3D Printing Applications: Thermal, Rheological, and Mechanical Performance

Glass was introduced as an additive to filaments used for the manufacturing of composite materials, employed by Additive Manufacturing applications. Glass accounts for a large waste electric and electronic equipment (WEEE) percentage, and its recovery and recycling can lead to the production of sustainable composite materials. In this work, poly(lactic acid) (PLA)/commercially available silicon oxide composite filaments were manufactured and their structural, thermal, rheological, and mechanical properties were assessed. Scanning Electron Microscopy confirmed the 1:2 ratio of silicon: oxygen, along with the relatively low adhesion between the filler and the matrix. Differential Scanning Calorimetry presented steady glass transition and melting temperatures of composites, whereas a crystallization temperature of 10% wt. and a crystallinity of 15% wt. composite slightly increased. Rheological analysis showcased that the viscosity of the composite filaments decreased compared to PLA (10–100 compared to 300–400 Pa·s), with a more shear-thinning behavior. Dynamic mechanical analysis exhibited increased elastic, flexural moduli, and flexural strength of composites (up to 16, 23, and 11%, respectively), whereas tensile strength and elongation decreased. The affordability of raw materials (with the future introduction of recycled ones) and the minimal processing steps can lead to the potential scaling up of the study.

Evaluation of Novel Food Additives on Product Acceptability in France

Purpose: The aim of the study was to analyze the evaluation of novel food additives on product acceptability in France. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings:  This study evaluating novel food additives on product acceptability in France, it was found that natural and organic additives significantly enhanced consumer acceptance. The additives were primarily valued for their perceived health benefits and minimal processing. Taste testing revealed that products with natural flavors and colors were preferred over those with synthetic counterparts. However, there was resistance among certain demographics, particularly older consumers, who showed a preference for traditional flavors. Overall, the study suggests that while novel additives can increase acceptability, consumer education and transparent labeling are crucial for widespread adoption. Unique Contribution to Theory, Practice and Policy: Theory of planned behavior (TPB), diffusion of innovations theory & expectancy-value theory may be used to anchor future studies on analyze the evaluation of novel food additives on product acceptability in France. Implement educational programs that inform consumers about the benefits and safety of novel food additives. Advocate for the development of clearer, more consistent regulatory guidelines for novel food additives to ensure safety and quality across markets.

Synthesis of an anionic 2D → 3D interpenetration metal–organic framework for efficient removal of Sr2+

Rapid removal of radioactive strontium from solutions is of great significance for ecosystem conservation. Herein, a new Cu-Zn-MOF namely, [NH4]3[(Cu3Zn2(FDA)6(H2O)8Cl·3H2O] (Cu-Zn-MOF; H2FDA = 2,5-furandicarboxylic acid) is designed for the efficient adsorption of radioactive Sr2+ by ion exchange. The newly designed Cu-Zn-MOF possessed an anionic 2D → 3D interpenetration framework based trinuclear centers which are charge-balanced by amino cations. Kinetic studies showed that Cu-Zn-MOF rapidly removed Sr2+ (96.7 % in 4 h), and the kinetic data fitted well with the pseudo-second-order model. The adsorption isotherms were well described by Langmuir model and Cu-Zn-MOF exhibited high adsorption capacity (220.7 mg/g at 298 K), out-performing many state of the art adsorbents. More importantly, Cu-Zn-MOF exhibited intriguingly high selectivity for Sr2+ in solutions containing coexisting ions with good reusability. The findings of this study can provide key and useful information for the adsorptive removal of Sr2+ and other similar radioactive material with minimal processing and cost.

Novel applications of Convolutional Neural Networks in the age of Transformers.

Convolutional Neural Networks (CNNs) have been central to the Deep Learning revolution and played a key role in initiating the new age of Artificial Intelligence. However, in recent years newer architectures such as Transformers have dominated both research and practical applications. While CNNs still play critical roles in many of the newer developments such as Generative AI, they are far from being thoroughly understood and utilised to their full potential. Here we show that CNNs can recognise patterns in images with scattered pixels and can be used to analyse complex datasets by transforming them into pseudo images with minimal processing for any high dimensional dataset, representing a more general approach to the application of CNNs to datasets such as in molecular biology, text, and speech. We introduce a pipeline called DeepMapper, which allows analysis of very high dimensional datasets without intermediate filtering and dimension reduction, thus preserving the full texture of the data, enabling detection of small variations normally deemed 'noise'. We demonstrate that DeepMapper can identify very small perturbations in large datasets with mostly random variables, and that it is superior in speed and on par in accuracy to prior work in processing large datasets with large numbers of features.

An Efficient Feature Selection and Extraction using Metaheuristic Technique for Diabetic Retinopathy

Diabetic retinopathy (DR) is associated with diabetes, which causes harm to the retina as a result of persistent elevated blood sugar levels, resulting in symptoms such as impaired vision. Regular eye examinations are crucial for the timely identification of any issues. The process of selecting characteristics in DR involves optimizing important features using a combination of Hybridized Weight-Optimized Particle Swarm Optimization and Whale Optimization Algorithm (HWOPSO-WOA). This leads to an enhancement in the accuracy of detection, which is crucial for appropriate diagnosis and therapy. Pre-processing encompasses the utilization of linear filters such as Sobel and Prewitt for image manipulation, mean filters for the reduction of noise, and Gaussian filters for the purpose of smoothing. Feature selection employs an objective function that considers significant performance measure, which utilizes binary encoding and conducts fitness evaluation. The methodology is utilized for the analysis of DR utilizing the Indian Diabetic Retinopathy Image Dataset. The results comprise convergence graphs, and a comparative analysis, which emphasize the greater accuracy and efficiency of the Proposed technique. Visual representations, such as fundus images with selected features, highlight the importance of the chosen features in detecting DR. The proposed HWOPSO-WOA achieves highest accuracy of 97.3% and minimal processing time 98.45seconds that outperforms the state-of-art techniques.

Combined Sous-Vide and High Hydrostatic Pressure Treatment of Pork: Is the Order of Application Decisive When Using Minimal Processing Technologies?

The aim of using minimal food processing technologies is to preserve the raw material or to achieve a special technological goal with the least possible impact. When several technologies are used together, the intensity of each treatment can be reduced according to Leistner’s hurdle principle. Does the order of application of the treatments result in a detectable difference? This research focuses on the effect of the combination of the sous-vide technology and the high hydrostatic pressure (HHP) treatment. The effect of the pressure level (300 and 600 MPa) and the influence of the treatment order was investigated on pork (longissimus thoracis and lumborum muscles (LTL)). Physico-chemical and microbiological measurements were carried out on day 0 and after 21-day storage at 2 °C and 8 °C. Significant differences were found for both the order of treatment and pressure level in weight loss (p < 0.001), CIELab color parameters a* and b* (p < 0.001), and denaturation enthalpy (p < 0.01). The texture (p < 0.001) and lipid oxidation TBARS values (p < 0.05) were only influenced by the pressure level. In the challenge test, the initial count of 105 CFU/g Listeria monocytogenes dropped below detection limit in all cases. Total aerobic and anaerobic viable numbers were below/near the detection limit in all combined-treated samples on day 0 and showed only slight or more notable growth after 21-day storage at 2 °C and 8 °C, respectively. An additional 300 MPa pressure treatment can increase the safety of sous-vide cooked pork samples while having only a minor effect on physicochemical properties. The 600 MPa pressure treatment results in a stable, albeit not shelf-stable product, but it also affects a considerable number of quality parameters such as color, texture, weight loss, and TBARS values.

Heterogeneously integrated InGaP/Si waveguides for nonlinear photonics

The heterogeneous integration of III-V semiconductors with the Silicon platform enables the merging of photon sources with Silicon electronics while allowing the use of Silicon mature processing techniques. However, the inherent sufficient quality of III-Vs’ native oxides made imperative the use of deposited interfacial oxide layers or adhesives to permit the bonding. Here we present a novel approach enabling the heterogeneous integration of structured III-V semiconductors on silicates via molecular bonding at 150 °C, much below the CMOS degradation temperature, is presented. The transfer of 235 nm thick and 2 mm long InGaP waveguides with widths of 4.65, 2.6 and 1.22 μm on 4 μm thick Si thermal oxide, with optional SX AR-N 8200.18 cladding, has been experimentally verified. Post-processing of the 1.20 and 0.60 μm input/output tappers has allowed the implementation of double-inverse tapers. The minimal processing requirements and the compatibility with transferring non-cladded structures of the presented technique are demonstrated. The quality of the transferred waveguides bonding interface and their viability for non-linear optics applications has been tested by means of the surface contribution to the optical non-linearity via modal phase-matched second-harmonic generation.

An investigation on the effect of ultrasonication and microfiltration processing on the quality of king coconut (Cocos nucifera var. aurantiaca) water compared to minimal and thermal processing.

The study aimed to investigate the effect of thermal and non-thermal processing on the physicochemical, microbial, and sensory characteristics of king coconut water. King coconut water samples were subjected to ultrasonication (50 kHz, 30 min at 35 °C), microfiltration (0.5 µm), and thermal treatments (at 90 °C for 10 min) with sodium metabisulfite (0.1 g/L) except the fresh sample (control). Samples were tested for physiochemical, microbial, and sensory parameters. Storage studies were conducted at 4 °C for 28 days. pH, titratable acidity, and total sugar of all treated samples were within the Sri Lankan Standard (SLS) limit (4.6-5.5, 0.07-0.1%, 4.1-6.5%, respectively) during the 28 days of storage. Sodium metabisulfite addition was significant in lowering the browning index. Antioxidant and phenolic contents of microfiltered and ultrasonicated samples varied between 49%-65% and 2.5-2.8 GAE mg/100 mL, respectively, during 4 weeks of storage, which was significantly higher compared to the heat-treated samples. Sensory evaluation scored the lowest attribute values for thermally treated samples. Microbial analyses indicated that microfiltered and ultrasonicated king coconut water remained safe for consumption for up to 4 weeks. Ultrasound and microfiltration, with the integration of sodium metabisulfite, were identified as effective methods for processing king coconut water while preserving its wholesome properties.

Use of omic heating technology in the process of processing fruits and vegetables. Overview of the subject field

The modern consumer prefers natural products with minimal processing, which allows maximum preservation of the nutritional value of the product and fresh taste and aroma. The purpose of this article is to review the results of studies concerning the effect of ohmic heating on the product in comparison with heat treatment and considering the combined use of this method with non-thermal technologies in the production of canned fruit and vegetables. The material for this study was 105 scientific publications. A search for scientific literature in English and Russian on the use of the ohmic heating technology in the process of processing fruits and vegetables was carried out in the bibliographic databases Scopus, Web of Science, as well as in other sources. The period 2010–2023 was adopted as the time frame for the review of scientific publications. To review the subject field of the study, an algorithm was used in accordance with the PRISMA protocol. A scientific search and review of scientific publications on the research topic showed a limited number of studies assessing the ohmic heating (OH) technology in the processing of fruits and vegetables. In the process of using this technology, electric current is applied, ensuring uniform and rapid release of heat inside the food matrix. OH has a shorter processing time, which helps preserve the organoleptic quality of the product and its nutritional value. Compared to heat treatment, the OH technology not only inactivates microorganisms and food enzymes, but also prevents overheating, which reduces the negative impact of temperature on the chemical composition of the product. Evaporation/concentration, dehydration/drying of fruit juices or purees using OH resulted in higher energy efficiency and reduced processing time compared to traditional processing methods. Despite many advantages, there are limitations to large-scale industrial application of the OH method, including corrosion of the electrodes, which can have a negative impact on the product, as well as uneven heating of some types of fruit and vegetable raw materials during continuous processing. The results of this review can be used in the process of conducting further scientific research, which is advisable to continue in order to determine specific processing parameters and eliminate uneven heating of food raw materials.

Effect of hydrocavitation treatment on physicochemical and functional properties of soy protein isolate

A hydrocavitation reactor was employed to treat diluted samples of soy protein isolate (SPI) at room temperature for 0, 60, and 90-minute intervals, revealing significant improvements in vitro enzymatic digestion, trypsin inhibition, water holding, oil holding, emulsification, and solubility properties. The secondary protein structure underwent significant modifications, with an increase in surface area, etching phenomena, and structural aggregation. The extent of amino acid digestion for hydrocavitation-treated proteins exhibited an augmentation from 180.9 % ± 1.429 μg/mL to 189.5 % ± 0.556 μg/mL. Additionally, the water holding capacity of the treated proteins increased from 3.51 % ± 0.131 to 3.78 % ± 0.097, while there was a corresponding decrease in oil holding capacity. Solubility showed a noteworthy rise from 24.70 % ± 0.042 to 38.23 % ± 0.031 following the hydrocavitation treatment. These findings underscore the potential of hydrocavitation technology as an appealing avenue for non-thermal, chemical-free food processing, enhancing product quality and digestibility through minimal processing techniques.

Improving carbon and nitrogen removal efficiency in high-strength nitrogen wastewater via two-stage nitritation-anammox process

Centralized systems employ biological treatments to remove nutrients, whereas decentralized systems, especially in rural areas, face challenges in implementing them. These systems are low flow but high carbon and nitrogen concentrations, and low C/N ratios. Source-separated wastewater (urine + flush) is an extreme example, like confined animal-feeding wastewater. High nutrient concentrations necessitate innovative technologies typically not employed for decentralized systems. This research demonstrates a simple two-stage nitritation-anammox system to treat high N concentration wastewater (pure urine + flush water). The systems consisted of a Membrane Aerated Biological Reactor (MABR) which performed carbon oxidation and nitritation and novel anammox reactors, (Pancopia AnammoX (PAXs)). The MABRs achieved OC removal over 108–198 g-C/m3-day with ∼ 97% removal, TAN oxidation rates up to 156 g-N/m3-day and nitrite/AN ratios were near 1 with no external control (e.g. pH, DO, cell wasting) other than urine loading rate. The PAXs achieved maximum AN removal efficiencies of 85–97%. The main limitation to complete TN removal in the PAXs was insufficient NO2- in the influent (nonideal influent NO2-/AN ratio). This system was not optimized for energy efficiency and had low volumetric conversion rates compared with other systems. However, it demonstrates that source-separated wastewater can be effectively treated with near complete N removal using a system with minimal process control requirements, lack of solid production, and elimination of diffuse aeration preventing odor generation. These attributes are attractive for applications where conditions do not allow for more complex high-rate systems such as developing societies and rural areas.

Development of an Antioxidant-Rich Sugar-Free Plantain Candy and Assessment of Its Shelf-Life in a Flexible Laminate

Research background. Candy is a popular confection worldwide, and it would be of societal benefit if it could be converted into a source of antioxidant molecules, to eliminate their adverse health effects. The amount of antioxidants available even in fruit candies is questionable due to the high thermal processing losses they undergo and the presence of various food additives. Plantains (Musa paradisiaca) are less known as good sources of biotherapeutic antioxidants, namely L-tryptophan, serotonin, and melatonin, and consumption of this highly nutritious fruit is limited to underdeveloped and developing countries. The objectives of this current study are: to develop a functional antioxidant-rich sugar-free plantain-based candy with appreciable contents of the mentioned biomolecules in synergy; and to ensure its extended shelf-life without compromising its physicochemical properties and functionalities by wrapping it with a suitable packaging laminate. Experimental approach. To accomplish the first objective, lyophilized plantain powder, sorbitol, and mannitol were used as base materials with minimal additives under minimal processing conditions to reduce processing losses. After development, the developed candies were evaluated for their sensory, proximate, physicochemical, and phytochemical properties, including the antioxidant synergy among the mentioned biomolecules. For the second objective, the candies were enclosed in two different flexible packaging laminates, and the optimal wrapper was determined based on the microbiological safety and sensory appeal of the packaged candies. Subsequently, the above-mentioned properties were assessed for the packaged (in the most suitable laminate) candies at regular time intervals during storage for assessment of their shelf-life. Results and conclusions. The candy exhibited a characteristic flavour of plantain, uniform dark brown colour, rich mouthfeel, pleasant aroma, moderately hard texture, and moderate sweetness, along with high antioxidant activity and considerable content of L-tryptophan, serotonin, and melatonin (present as a synergistic consortium). During storage of the packaged candy under ambient conditions, it remained microbiologically safe for up to 56 days, and also maintained sensory attributes, antioxidant potency, and synergy compared to the control candy. Novelty and scientific contribution. It is envisaged that this newly developed semi-hard antioxidant-rich sugar-free candy containing three important antioxidants, namely L-tryptophan, serotonin, and melatonin, could be a food matrix for molecular nutrition and a substitute for commercial candies consumed globally.

Matched Three-Dimensional Organoids and Two-Dimensional Cell Lines of Metastatic Melanoma to the Brain Mirrors Response to Targeted Molecular Therapy

INTRODUCTION: Metastatic melanoma to the brain (MMB) represents a significant treatment challenge. Limitations in preclinical models, namely the lack of heterogeneity in cell lines and low throughput of xenograft models, have thwarted novel therapeutic development. Surgically eXplanted Organoids (SXOs) are ex vivo, three-dimensional models that recapitulate genotypic and phenotypic features of parent tumors with minimal extracranial processing. We aim to develop the first known matched patient-derived SXO and cell line of BRAF-mutant MMB to investigate responses to targeted therapy. METHODS: MMB SXOs were created by a novel protocol incorporating techniques for creating glioma and cutaneous melanoma organoids. A BRAFV600K-mutant MMB sample was collected and processed within 30 minutes of resection. SXOs were created using a 1.0 mm biopsy punch. Organoids were cultured in low-adherence plates in an optimized culture medium under continuous orbital rotation without an artificial extracellular scaffold. Organoid media was changed every 48 hours. Concurrently, matched patient-derived cell lines were created and passaged weekly. Drug screens were conducted with the CellTiter-Glo Luminescence Viability Assay (cell line) and ReadyProbe Cell Viability Imaging Kit (SXOs). RESULTS: After an initial shedding period, organoid growth was observed within 3-4 weeks. MMB SXOs retained histological phenotypes of the parent tissue, including pleomorphic epithelioid cells with abundant cytoplasm, large nuclei, focal melanin accumulation, strong Sox10 positivity, and HMB45 positivity. After sufficient growth, organoids could be manually parcellated to increase the number of replicates. Matched SXOs and cell lines demonstrated sensitivity to BRAF-V600 and MEK inhibitors. CONCLUSIONS: Here, we outline the creation of the first known scaffold-free organoid model of MMB. Further study using SXOs will improve the translational relevance of preclinical studies and enable the study of the melanoma tumor microenvironment.

Empowering Manets with Advanced Multimodal Biometric Authentication and Encryption

In a mobile ad hoc network (MANET), nodes communicate wirelessly, facing unique challenges. Traditional MANETs suffer from issues like erroneous transmission and vulnerability to unauthorized nodes joining the network, posing security risks. Authentication within MANETs is a significant security concern, prompting ongoing research for enhancements. Our solution integrates multimodal biometric authentication with RSA and AES encryption, providing robust security for user authentication and data protection in MANETs. This approach effectively addresses risks such as unauthorized access and data tampering, crucial for secure communication in dynamic, resource-limited MANET environments. Our proposed system utilizes a combination of face and fingerprint biometrics for encryption, enhancing network security. Through testing, our system demonstrates a high authentication rate of 92.42% with minimal processing times: 0.042 ms for key generation, 0.019 ms for encryption, and 0.032 ms for decryption, based on a 1024-bit key size. These practical results showcase the resilience and efficiency of our secure system.

RATIONAL USE OF SILICATE-CONTAINING WASTE

As a result of the dismantling and demolition of buildings, a considerable number of types of construction waste are generated. The main types of waste include broken bricks, concrete and reinforced concrete products, wood, glass scrap, etc. Waste from the construction industry is cheaper than natural raw materials. Often, they are almost immediately (after minimal processing) suitable for use as substitutes for natural raw materials. In the article, in the course of research, the compositions of raw mixtures containing Portland cement, finely ground broken glass, concrete scrap, and liquid glass for self-leveling floors were identified. Keywords: silicate-containing waste, concrete scrap, cullet, liquid glass, liquid glass, concrete mixtures.

An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks

Parkinson's disease (PD) is a widespread neurodegenerative condition that affects many individuals annually. Early identification and monitoring of disease progression are crucial to effectively managing symptoms and preventing motor complications. This research proposes an automated PD diagnosis and severity-grading model based on time-frequency and fuzzy features using improved uni-directional and bi-directional long short-term memory networks with sensitive hyperparameters optimization. We utilize vertical ground reaction force signals collected from Physionet's publicly available dataset recorded during regular and dual-task clinical trials of walking measurements. Only the cumulative signal of both feet was then utilized and segmented into 30-s windows without further pre-processing. Subsequently, we extracted only four key time-frequency and fuzzy features from each segment, effectively capturing the signal's inherent uncertainty. Bayesian optimization is employed in both detection and grading approaches to fine-tune the two critical hyperparameters: the initial learning rate and the number of hidden units in the network. The detection phase yields an exceptional accuracy of 99.19%, surpassing state-of-the-art studies with the same dataset. In the grading phase, classification based on the unified PD rating scale values achieves an accuracy of 92.28%. The proposed study delves into the potential of cumulative gait signals as a powerful diagnostic tool for PD, aiming to extract precise and intricate information by implementing straightforward and minimal processing endeavors. This method demonstrates significant efficiency in terms of complexity, cost, and energy consumption by utilizing a single-dimensional signal, eliminating the need for pre-processing steps, and limiting the features used for training.

Optimizing precision agriculture: Bayesian-enhanced papaya (Carica papaya L.) fruit disease classification via cubic SVM and ResNet-101 deep features

With the rise of the fruit processing industry, machine learning and image processing have become necessary for quality control and monitoring of fruits. Recently, strong vision-based solutions have emerged in farming industries that make inspections more accurate at a much lower cost. Advanced deep learning methods play a key role in these solutions. In this study, we built an image-based framework that uses the ResNet-101 CNN model to identify different types of papaya fruit diseases with minimal training data and processing power. A case study to identify commonly encountered papaya fruit diseases during harvesting was used to support the results of the suggested methodology. A total of 983 images of both healthy and defective papaya were considered during the experiment. In this study, we initially used the ResNet-101 CNN model for classification and then combined the deep features drawn out from the activation layer (fc1000) of the ResNet-101 CNN along with a multi-class Support Vector Machine (SVM) to classify papaya fruit defect detection. After comparing the performance of both approaches, it was found that Cubic SVM is the best classifier using the deep feature of ResNet-101 CNN, achieved with an accuracy of 99.5% and an area under the curve (AUC) of 1 without any classification error. The findings of this experiment reveal that the ResNet-101 CNN with the cubic SVM model can categorize good, diseased, and defective papaya pictures. Moreover, the suggested model executed the task in a greater way in terms of the F1- Score (0.99), sensitivity (99.50%), and precision (99.71%). The present work not only assists the end user in determining the type of disease but also makes it possible for them to take corrective measures during farming.

Explicit Runge-Kutta Method for Evaluating Ordinary Differential Equations of type v^vi = f(u, v, v′)

The initiative of this paper is to present the Runge Kutta Type technique for the development of mathematical solutions to the problems concerning to ordinary differential equation of order six of structure v vi = f(u, v, v′ ) denoted as RKSD with initial conditions. The three and four stage Runge-Kutta methods with order conditions up to order seven (RKSD7) have been designed to evaluate global and local truncated errors for the ordinary differential equation of order six. The framework and evaluation of equations with their results are well established to obtain the effectiveness of RK method towards implicit function satisfying the required initial conditions and for obtaining zero-stability of RKSD7 in terms of their accuracy with maximum precision under minimal processing.

Legume milk-based yogurt mimetics structured using glucono-δ-lactone

The potential to produce protein-structured vegan yogurts with legumes was explored to offer an alternative to conventional polysaccharide-based varieties. Glucono-δ-lactone (GDL) was employed as a slow acidifying agent and was investigated for its ability to generate cold-set, yogurt-like gels using soy and lentil milks made using minimal processing steps. Soy (5.3 % protein) and lentil (6.1 % protein) milks were successfully gelled by GDL at concentrations of 0.5 % and 1 % w/w. Soy and lentil milks experienced similar acidification profiles and demonstrated good fits with double-exponential decay models. The physical properties of these legume gels were evaluated and compared to a commercial stirred dairy yogurt. Penetration tests were carried out on intact gels, then repeated after stirring. All intact soy samples demonstrated significantly stronger gel structures compared to the commercial yogurt, and most experienced greater amounts of brittleness. Results showed that the stirring of gels caused a notable decrease in firmness and brittleness in the soy gels, making them more similar to the control. Power-law modelling of viscosity curves demonstrated that all samples experienced non-Newtonian flow behavior (n < 0.29). Susceptibility to syneresis was measured by the degree of liquid loss following centrifugation. The optimization of protein type and GDL concentration to replicate the physical properties of dairy-based yogurts can enhance their consumer acceptance and provide a more customizable and controlled approach alternative to traditional fermentation methods.