Standard Production Research Articles

Examination of Strategic Planning of Banks to the Context of India

Aim: This research is a modest effort to explore strategic analysis tools and growth aspects of the Indian banking sector. The objective of this research is to assess bank employees’ perceptions current stage of banks and identify sustainable growth strategies for the future. Study Design: I purposively selected Andhra Pradesh, and Telangana states. Multi-stage sampling (MSS) used for data collection. Statistical tools such as Correlation and Regression analysis, and Balance score-card were performed using advanced Excel. Financial ratios include DuPont model (Asset Turnover, Profit Margin, Return on Equity-ROE, and Return on Assets-ROA), were calculated. Methodology: The study analyzing a combination of financial ratios and employing strategic tools, to evaluate the sector’s progress. Primary data was collected from the employees in the banking sector, secondary data were obtained from research articles, and magazines. The total samples covered are 50. Findings and Results: The past two decades, the industry has transitioned from offering subsidized services with limited facilities to becoming more competitive. Key focus areas include achieving global standards like the Capital Adequacy Ratio (CAR), reducing liability and servicing costs, and fostering product differentiation. ‘P’ value 0.370, there is no significant relationship between net banking and UPI transactions, and ‘r’ value 0.938, therefore there is a highly positive correlation between them, and so to increase the growth of the banking sector, a focus on enhancing net banking and UPI transactions is recommended to achieve the target. The adjusted R-square value is 82.70; therefore, 82% of the variance of the dependent variable is explained by the independent variable in regression analysis. Y=a+bx: Positive intercept in banking transactions suggests baseline activity regardless influencing factors. Negative slope means factors like features, services, size of transactions, and volume might decrease. Policy Recommendations: Enhance resource utilization, global standards compliance, product differentiation, strategic implementation and cost management.

Industrial Investigations of S355 Steel-Grade Homogenization in a 100-Tonne Ladle Furnace.

The paper presents the results of industrial research and numerical simulations of the chemical homogenization of liquid steel. The research object was a ladle furnace with a working capacity of the ladle of 100 t at the steel plant of Huta Częstochowa, currently Liberty Częstochowa Sp. z o.o. Industrial research was carried out under standard production conditions of the steelworks. The research included automatic steel sampling, measurement of the bath temperature, controlled measurement of argon flow at a given intensity, and the determination of the concentration of elements in steel samples using a spectrometric analyser. The element introduced in the form of a ferroalloy (FeMn and FeSiMn) played the role of a marker in the study of changes in the chemical composition during the process of dissolution and mixing of the alloying additive. Monitoring changes in the chemical composition of steel after the introduction of the marker was carried out by taking metal samples. The initial and boundary parameters of the modelled processes necessary to perform numerical simulations were determined successively through industrial measurements or determined on the basis of empirical relationships. A two-equation k-ε turbulence model was used to assess the flow inside the tested ladle furnace, and a discrete phase model was used to model gas bubbles. The mixing characteristics of the steel bath after introducing the alloying additive to it were determined. The comparison of the results of numerical simulations with experimental data was based on the analysis of the chemical homogenization process.

2B-OLEFIN Film Development

As Pelsan Tekstil, in order to bring sustainable solutions to the use of polymers in the world, we have developed the world's first biodegradation technology that can provide full microbial conversion of polyolefins in open environment. This technology can provide full biodegradation on PP & PE materials. The advanced catalytic system converts PP and PE materials into wax. Unlike oxo-degradation, no microplastics or toxic substances are left behind in the post- degradation stage, thanks to a bio-available wax that naturally occurring microorganisms can easily assimilate. According to research, polymer use in the world is over 311 million tons. While the demand for polymers is projected to increase by 5.1% between 2020 and 2030, the recycling rate is only 14%. The non-recyclable portion accumulates as waste in soil and oceans. Biodegradable polymers are biodegraded by various microorganisms and enzymes in nature and broken down into their natural components. Thus, they can be recycled into the natural cycle without leaving microplastics. However, they are considerably more expensive than non- biodegradable polymers. In addition, biodegradable polymers are very vulnerable to heat and are damaged during extrusion. Therefore, our project goal is to make our product biodegradable by using an optimum amount of additives with our standard polyethylene film production formulation without making any changes in the technologies we already use. The biodegradation process is dominated by different factors including polymer properties, the type of organism and the nature of the pretreatment. Polymer properties such as the mobility of the polymer chains, crystallinity, molecular weight, the type of functional groups and substituents present in the structure, the plasticizers or additives present, all play an important role during degradation. The additive has the ability to promote different chemical reactions upon the polymer structure simultaneously. Our individually formulated additive acts as an initial food-source for microbes to help boost the biodegradation in the early stages of decay. The technology is fully compatible with normal mechanical recycling processes. No adverse impact on the mechanical characteristics and optical aspect of recycled products when mixed into the standard recycled supply chain.

The effects of plant density and duration of vegetative growth phase on agronomic traits of medicinal cannabis (Cannabis sativa L.): A regression analysis.

Empirical data on the effect of plant density (PD) and length of the vegetative phase (DVP) on plant growth, yield, and cannabinoid concentration of medicinal cannabis (Cannabis sativa L.) are still scarce, leading to a lack of specific cultivation recommendations. We conducted two greenhouse experiments to investigate the effect of PD in the range of 12-36 plants m-2 (D-trial) and DVP in the range of 1-4 weeks (V-trial) on plant morphology, biomass growth of individual plant organs, and CBD concentration of individual inflorescence fractions. Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (p = 0.02), whereas a positive linear relationship was found for inflorescence yield (p = 0.0001) and CBD yield (p = 0.0002) per m2. Total area yields in the D-trial ranged from 119 to 247 g m-2 from lowest to highest PD. DVP showed a positive linear relationship with inflorescence yield on an individual plant (p = 0.0001) and area basis (p < 0.0001) along with most other relevant agronomic traits such as CBD production, plant size and lateral shoot length. Total area yields in the V-trial ranged from 295 to 571 g m-2 from lowest to highest DVP. The yield increase could be linked to the increased inflorescence number per plant rather than inflorescence size. In contrast to expectations, neither PD nor DVP had significant effects on the cannabinoid concentration gradient from upper to lower canopy layers. CBD concentrations in inflorescences from lower canopy layers were reduced by 23% in the V-trial and 46% in the D-trial. However, with increasing PD, the proportion of higher-concentrated inflorescence fractions from upper canopy layers increased from 46% to 68%, while an extension of DVP shifted this proportion only marginally from 45% to 50%. In the context of standardized production, we therefore advocate high-density production systems that increase the proportion of desired inflorescence fractions from upper canopy layers.

The hidden reasons behind generation Z's green choices

The green purchasing decision has become an increasing research focus, reflecting consumers' growing commitment to sustainability. Generation Z consumers are recognised for their greater environmental and social awareness than other generations. Although their inclination towards sustainability issues is well known, few studies are dedicated to the green purchasing behaviour of the individuals of this generation. Therefore, the primary purpose of this study is to explore and analyse the antecedents of Generation Z's green purchasing decision in Portugal. Thus, based on a sample of young Portuguese Generation Z and using the Partial Least Squares method, this study tested hypotheses concerning five antecedents of the green purchasing decision. Although unbalanced, the study results reveal that all the factors analysed are antecedents of the green purchasing decision. First, green willing purchase and environmental concern stand out as main antecedents. Next, factors related to perceived quality and benefits take the lead. The least essential antecedent concerns the predisposition to a change in purchase behaviour if the product's price is the same or lower than the standard product. This study contributes to under-explored literature on green consumption behaviour, especially among young people. In addition, it contributes to the development of knowledge about the antecedents of Generation Z's green purchasing decision in Portugal.

Effect of Frying Temperatures and Times on the Quality and Flavors of Three Varieties of Lentinus edodes

The effects of frying times (1, 2, 3, and 4 min) and temperatures (140, 160, 180, and 200 °C) were investigated on the nutritional components, color, texture, and volatile compounds of three Lentinula edodes varieties (808, 0912, and LM) from Guizhou, China. Increased frying time and temperature significantly reduced the moisture, polysaccharide, and protein contents, while increasing hardness and chewiness, and decreasing elasticity and extrusion resilience, negatively impacting overall quality. Optimal umami and sweet amino acid retention were achieved by frying at 160 °C frying for 1–3 min or 140–180 °C for 2 min. Nine volatile compounds were identified, with sulfur-containing compound levels decreasing and ketone, aldehyde, pyrazine, and other volatile compound levels increasing as frying progressed. At temperatures above 180 °C, variety 808 displayed a duller appearance, while variety LM experienced significant water and protein loss, making them unsuitable for frying under these conditions. Conversely, variety 0912 demonstrated superior characteristics, such as retaining higher levels of aspartic acid and sulfur-containing compounds, resulting in a sweeter taste. Overall, frying for 2–3 min at 160–180 °C can preserve high nutritional quality and taste and enhance flavor characteristics relatively well. These findings provide a theoretical basis for the deep processing and utilization of Lentinula edodes and for standardized industrial production.

Production, Isolation, and Characterization of Stable Isotope-Labeled Standards for Mass Spectrometric Measurements of Oxidatively-Damaged Nucleosides in RNA

Production, Isolation, and Characterization of Stable Isotope-Labeled Standards for Mass Spectrometric Measurements of Oxidatively-Damaged Nucleosides in RNA

Constructing Safety Management Systems in Modern Industry and Trade Enterprises: A STAMP-Based Approach

With the burgeoning landscape of new enterprises and business paradigms, industrial and trade enterprises are facing escalating pressure to ensure operational safety. Conventional safety management mechanisms have proven to be inadequate for adapting to the dynamic market demands and intricacies of modern production environments. To improve safety management practices, this study integrates complex network theory to dissect the causal chains underlying accidents in industry and trade enterprises. A network model is established to elucidate the factors contributing to accidents and leverage datasets from safety inspections to construct a repository of latent safety risks. To address deficiencies in extant safety frameworks, a comprehensive safety management evaluation system is formulated, comprising ten primary evaluation indices and 30 secondary metrics. Based on the established frameworks, such as ISO 45001 for occupational health and safety management systems (OHSMS), standardized safety production protocols, and risk hierarchical management and control systems and hidden hazard identification and treatment systems (dual prevention systems), a holistic safety management system (SMS) is synthesized on the basis of system-theoretic accident model and process (STAMP) theory. This systematic approach culminates in a robust framework tailored to modern industrial and trade enterprises, fostering flexibility and efficacy in safety management capabilities. This case analysis underscores the model’s ability to enhance its safety management proficiency, thereby amplifying its relevance in fortifying enterprise operations and fostering sustainable growth. This study represents a pivotal step toward augmenting safety management capacities within the industrial and trade enterprises to safeguard enterprise vitality and advance sustainable business practices.

Economic efficiency of nature-based solutions: Theoretical framework and application to semi-natural habitat implementation.

The application of nature-based solutions to agriculture is promising because it allows the sustainable management of ecosystems and the reconciling of human well-being with the benefits of biodiversity. However, scientists lack robust economic arguments and concepts in the area of nature-based solutions that are well aligned with the expectations of the agricultural sector. This study addresses this gap by developing an interdisciplinary economic framework that integrates nature-based solutions and allows for an assessment of their efficient use. The conceptual framework is derived from a standard agricultural production model, making it possible to determine optimal levels of use and value. The framework is then applied to the establishment of semi-natural habitats, using econometric calibration and simulations based on agronomic, economic, psychological, and ecological data from a single case study in western France. The estimations show that the optimal semi-natural habitat coverage rate was 17.5% which was half the observed level, suggesting an underuse according to this framework. The present framework, which builds on standard economic efficiency models, demonstrates that ecosystems contribute to production similarly to conventional agricultural inputs, providing a productivity-based justification for their conservation.

Gyroid Lattice Heat Exchangers: Comparative Analysis on Thermo-Fluid Dynamic Performances

In recent years, additive manufacturing has reached the required reliability to effectively compete with standard production techniques of mechanical components. In particular, the geometrical freedom enabled by innovative manufacturing techniques has revolutionized the design trends for compact heat exchangers. Bioinspired structures, such as the gyroid lattice, have relevant mechanical and heat exchange properties for their light weight and increased heat exchange area, which also promotes the turbulent regime of the coolant. This work focuses its attention on the effect of the relevant design parameters of the gyroid lattice on heat exchange performances. A numerical comparative analysis is carried out from the thermal and fluid dynamic points of view to give design guidelines. The results of numerical analyses, performed on cylindrical samples, are compared to the experimental results on the pressure drop. Lattices samples were successfully printed with material extrusion, which is a low-cost and easy-to-use metal AM technology. For each lattice sample, counter pressure, heat exchange, and turbulence intensity ratio are calculated from the numerical point of view and discussed. At the end, the gyroid lattice is proven to be very effective at enhancing the heat exchange in cylindrical pipes. Guidelines are given about the choice of the best lattice, depending on the considered applications.

Directed Forgetting and the Production Effect.

The item-based directed-forgetting effect is explained as a difference in how strongly people encode remember-cued over forget-cued targets. In contrast, the production effect is typically explained as a difference in the distinctiveness of the memory of produced over unproduced targets. The procedural alignment of the two effects - directing participants to remember or forget, produce or not - coupled with their different theoretical explanations (i.e., strength vs. distinctiveness) presents an opportunity to investigate common versus differential effects of elaborative encoding. This study aims to bridge the gap between these two well-established phenomena by comparing the differences in directed forgetting and the production effect in the context of recognition. Mixed- and pure-list designs were utilized to provide an index of each of these mechanisms in both procedures. Along with a standard production effect and directed forgetting effect in the mixed-list conditions, we found evidence for strength primarily driving results in both procedures. Results are explained using a global matching model of recognition memory, MINERVA 2, by assuming varying levels of encoding strength in relation to task demands. Critically, we obtain the best fit using a strength mechanism over a combined strength and distinctiveness mechanism for our data.

The PAZ polarimetric radio occultation research dataset for scientific applications

Abstract. Polarimetric radio occultations (PROs) represent an augmentation of the standard radio occultation (RO) technique that provides precipitation and cloud vertical information along with the standard thermodynamic products. A combined dataset that contains both the PRO observable retrievals and the RO standard retrievals, the resPrf, has been developed with the aim of fostering the use of these unique observations and fully exploiting the scientific implication of having information about vertical cloud structures with an intrinsically collocated thermodynamic state of the atmosphere. This paper describes such a dataset and provides detailed information on the processing of the observations. The procedure followed at the University Corporation for Atmospheric Research (UCAR) to combine both horizontal (H) and vertical (V) observations to generate profiles equivalent to those in standard RO missions is described in detail, and the obtained refractivity is shown to be of equivalent quality compared to that from TerraSAR-X. The steps for the processing of the PRO observations are detailed, derived products such as the top of the signal are described, and validation is provided. Furthermore, the dataset contains the simulated ray trajectories for the PRO observation and collocated information with global satellite-based precipitation products, such as merged rain rate retrievals or passive microwave observations. These collocations are used for further validation of the PRO observations, and they are also provided within the resPrf profiles for additional use. It is also shown how accounting for external collocated information can significantly improve the effective PRO horizontal resolution, tackling one of the challenges of the technique. The resPrf dataset is publicly available at https://doi.org/10.20350/digitalCSIC/16137 (Padullés et al., 2024).

Evaluation of twelve algorithms to estimate suspended particulate matter from OLCI over contrasted coastal waters

Remote sensing of suspended particulate matter (SPM) is crucial for water-quality monitoring, as it influences turbidity, light availability, or nutrient transport. This study aims to provide a comprehensive evaluation of twelve common and well-used SPM models for the Ocean and Land Color Instrument (OLCI) on-board Sentinel-3 satellite, based on different methods and assumptions, including estimation from water-leaving reflectance or proxies, a combination of semi-analytical equations, and machine learning algorithms. The models are tested in three stages: 1) performance assessment on in-situ measurements, 2) matchup exercise with OLCI and 3) visual assessment of satellite SPM products. The models are first tested on the GLORIA dataset (n = 767, 0.21 g.m−3 &lt;SPM &lt;2,626.82 g.m−3). The matchup analysis is then conducted in French coastal waters using the SOMLIT dataset (n = 71, 0.2 g.m−3 &lt;SPM &lt;722 g.m−3), based on the standard OLCI L2 remote sensing reflectance product. Finally, the visual assessment of the SPM maps provided by the twelve models is conducted for two French coastal sites. Results show that the algorithms proposed by Jiang et al. [ Remote. Sens. Environ. 258, 112386 (2021)10.1016/j.rse.2021.112386 ] and Novoa et al. [ Remote. Sens. 9, 61 (2017)10.3390/rs9010061 ] exhibit the highest score and the most accurate retrievals when compared to in-situ measurements. However, the matchup exercise shows that the method from Jiang et al. demonstrates more overall accurate SPM retrievals (Error = 49.85%, Bias = 0.55%, RMSLE = 0.35, Slope = 1.06). The visual assessment of SPM maps reveals that this model displays a larger dynamic range, making it suitable for applications in regions with a wide range of SPM concentrations. The sensitivity of these models to the atmospheric correction procedure is further explored. When all OLCI spectra are taken into account for the matchup exercise, the performance of the algorithms from Han et al. [ Remote. Sens. 8, 211 (2016)10.3390/rs8030211 ] improve, relative to the other one. Finally, the standard OLCI SPM product is evaluated, and the advantages of using the OLCI standard product over the MODIS one for studying coastal waters are discussed.

On Medical Standardisation in Times of Scientific Uncertainty: The Management of Flu Epidemics by the French Military Medical Service After the World Pandemic (1920s–30s)

Using the example of anti-influenza struggle during the 1920s and 1930s, this article asks how the French armed forces health service developed and implemented standardised medical and prophylactic management to face it in times of uncertainty about the nature of the pathogen. The notion of standardisation is placed at the center of the analysis inquiring how exogeneous as endogenous knowledge, norms and practices combined to design the most robust prophylactic and therapeutic strategies possible and their limits. Standardisation is presented as a process of continuous improvement where progressive rationalization of prophylactic measures widely inspired by the Pasteurian school and the improvements in the medical management of influenza patients in a context of therapeutic trial and error required regular changes to standardisation. The article highlights how the proximity between military and civilian actors involved in the production of norms and standards enables us to observe a gradual alignment between medical theories, laboratory research, bedside clinics, preventive measures and treatments used with technical, bureaucratic and organizational systems for the benefit of public health policy.

Rapid characterization of polysaccharides from marine animals using chemical degradation combined with liquid chromatography mass spectrometry.

Glycosaminoglycans of marine origin have exceptional biological activities, but rapid elucidation strategies for precise structures are still lacking. In this study, the optimal conditions for deacetylation of glycosaminoglycans were optimized first. The hydrazinolysis time of 24 h was determined as the final condition, oligosaccharides with a degree of polymerization of 2-14 are mainly produced after hydrazinolysis. Then mixed oligosaccharides generated by deacetylation-deamination cleavage of polysaccharides were detected with hydrophilic interaction chromatography with tandem mass spectrometry (HILIC-MS/MS), and the total ion chromatography showed excellent resolution. The mass spectrometry data were automatically processed by GlycReSoft, and the corresponding matching results were obtained according to the set parameters. A small amount of keratan sulfate exists in oligosaccharides of Teuthida and Salmo salar, and ion peaks corresponding to IdoA-GalNAc4S exist in oligosaccharides of Scophthalmus maximus and Salmo salar. The results of the manual analysis of the mass spectrometry data verified that the HILIC-MS/MS combined with automatic analysis by software adopted in this study could achieve accurate matching and matching of mixed oligosaccharide components. The establishment of a rapid and accurate analysis strategy for the structure of glycosaminoglycans in this study will help the development of its application and standardized industrial production.

Standardized lab-scale production of the recombinant fusion protein HUG for the nanoscale analysis of bilirubin

The recombinant bifunctional protein HELP-UnaG (HUG) is a fusion product of the Human Elastin-like Polypeptide (HELP) with the bilirubin-binding fluorescent protein UnaG. HUG is used for the fluorometric detection of bilirubin in serum and a variety of biological fluids and extracts. Here we describe a detailed method for the standardized production and purification of HUG from E. coli extracts on a laboratory scale. This method takes advantage of the HELP-specific thermoreactive behavior that enables the separation of HUG from complex E. coli extracts by repeated precipitation/re-dissolution steps at near physiological temperature.•The method is based on the inverse thermal transition process.•The “green” method is affordable for basic laboratories and can be easily transferred to new users.

Cucumber productivity depending on the use of microbiological preparations

Relevance. In the modern production of greenhouse products, with hydroponic cultivation of crops, one of the safe ways to increase the quantity, quality of cucumber products and plant protection is the use of microbiological preparations.Methodology. The purpose of our work was to assess the effect of a complex of microbiological preparations on the productivity of cucumber hybrids in winter and spring turnover. The study was conducted in industrial greenhouses during 2021-2022. Long-fruited (Lohengrin F1) medium-fruited (Mewa F1 and Svyatogor F1) and short-fruited (Valigora F1) parthenocarpic cucumber hybrids were selected as research objects. The preparations were applied five times, at 30-day intervals throughout the entire growing period, the first application when planting plants in the production department. Measurements of economically valuable and chemical indicators were carried out weekly. Descriptive statistics and ANOVA methods were used for statistical data analysis.Results. As a result of the research, a positive stimulating effect of a complex of microbiological preparations on the accumulation of raw and dry biomass, an increase in yield and its quality in the studied cucumber hybrids was revealed. The final yield when applying microbiological preparations increased on average from 4.1 to 5.5 kg/m2 in all cucumber hybrids over the two years of study, while the yield of standard products in the total crop structure increased by 2.7% - 6.4%.

Stem characteristics and yield of wheat is regulated to improve planting efficiency and reduce lodging risk by fertilizer rate and irrigation stage

Optimizing fertilizer and water application and using standardized and clean production methods are important for achieving green and sustainable agricultural development. The study was conducted from 2018 to 2021, arranged in a split-plot experimental design. Three fertilization levels (main plots) and four supplementary irrigation treatments (secondary plots) were set through three consecutive years of field positioning experiments. Chemical compound fertilizer application levels were 750 kg ha−1 (F1), 600 kg ha−1 (F2), 450 kg ha−1 (F3). Irrigation levels were as follows: no irrigation during the whole growth period after emergence (W0), irrigation only at jointing stage (W1), irrigation at jointing and anthesis stage (W2), irrigation at greening, jointing and anthesis stage (W3). The results indicated that the stem length of the base increased with the increase of irrigation and water and fertilizer, especially on the base stem node. There was a significant interaction between different fertilizer and water treatments. Correlation analysis revealed a significant negative correlation between stem strength and the stem lodging index. After anthesis, the lodging index was significantly lower in the F2 treatment than that in the F1 treatment. Moreover, the contribution of dry matter accumulation to the grain before anthesis was significantly higher under the W2 treatment than that under the W3 treatment but was significantly lower than that under the W0 treatment. Furthermore, the W2 treatment exhibited significantly greater fertilizer and water effects than those under the W3 treatment, irrigation benefit increased by 10.39 kg ha−1 mm−1, whereas the F2 treatment exhibited significantly greater effects than those of the F1 treatment. In terms of yield, grain yield of F2W2 treatment was significantly higher than that of F3W1 treatment. The maximum yield of F2W2 treatment over three years was 9900.05 kg ha−1. Therefore, reducing the amount of fertilizer and adjusting the irrigation regimes can enhance wheat growth and yield and mitigate the risk of lodging in the field.

Sparse-deconvolution terahertz near-field microprobe tomography enabling non-destructive inspection of small solid dosage forms

Terahertz (THz) pulsed imaging is a powerful tool for investigating solid dosage forms. However, traditional far-field systems struggle with physically small samples and strongly bent surfaces due to inherently limited lateral resolution. The present study introduces a novel approach using photo-conductive near-field microprobes (PC-NFMs) with a THz time-domain spectroscopy module to overcome the limitations of far-field setups concerning their achievable lateral resolution. In addition, a modified sparse deconvolution algorithm for advanced THz signal processing is presented, enabling the reconstruction of fainting interfaces in scattering media. This approach is particularly valuable for specialized dosage forms with extremely thick coatings, such as the investigated controlled-release dosage form, aiding as a worst-case scenario. While most pharmaceutical coatings are <100 µm thick, our method’s ability to analyze thicker coatings up to nearly 400 µm at an extraordinarily high spatial resolution of 87 µm in the x-direction and 175 µm in the y-direction sets it apart from approaches presented so far. This versatility makes the approach relevant for standard pharmaceutical products and niche, specialized dosage forms, including mini tablets.

Virus Detection Using Functionalized Graphene Oxide Composites

In this study, we explore the optimization of Reduced Graphene Oxide (RGO)-based sensors for detecting respiratory viruses, employing an innovative thermal reduction process. Traditional methods of graphene oxide (GO) production often struggle with scalability and uniformity. Addressing these challenges, we utilize a common glass substrate within a controlled oven environment, achieving precise temperature regulation essential for consistent sensor properties. RGO produced at these specific conditions demonstrated significantly enhanced uniformity and electrical properties when compared to those produced under traditional, less controlled conditions. Expanding upon this base, we have now incorporated metals (such as Fe, Ag) into the graphene oxide matrix to create metal-graphene oxide composites. These composites were methodically synthesized and integrated into our existing Field-Effect Transistor (FET) sensors, allowing us to evaluate their enhanced responsiveness to Human Parainfluenza Virus types 2 and 3 (HPIV-2, HPIV-3), and Respiratory Syncytial Virus (RSV). Early experiments with these new composites show a marked improvement in sensor sensitivity and specificity, particularly against HPIV-3, suggesting a robust interaction between the virus and the sensor interface. The addition of metal composites not only fortifies the electrical and mechanical properties of the sensors but also significantly boosts their viral detection capabilities. This advancement confirms the reproducibility and reliability of the optimized RGO production process, reinforcing the importance of precise thermal control in producing not just stable and uniform RGO, but also highly effective biosensing platforms. These results pave the way for the potential mass production of RGO-based sensors, equipped with metal-graphene oxide composites, targeting high sensitivity and specificity in virus detection. This enhancement has profound implications for the broad applicability of RGO in diverse fields including electronics, chemical sensing, and gas sensing, contributing foundational knowledge for the advancement of graphene-based technologies. This research reaffirms the critical need for standardized production processes that ensure the consistency and efficiency of RGO and showcases the practical application of these processes in creating high-performance biosensors.