ASEAN Journal of Scientific and Technological Reports

Occupational Safety and Health Support System for Telecommunication Tower Climbers

2024-09-14T14:09:55+07:00

Telecommunication tower climbers are exposed to sunlight, delicate particulate matter (PM 2.5), and wind for extended periods daily, which unavoidably impacts their health and safety and may result in serious accidents. This study aims to (1) create an Occupational Safety and Health Support System for Telecommunication Tower Climbers to mitigate the risks associated with working on telecommunications towers and (2) assess the user satisfaction of those using the system. The system displays information like the heat index, PM2.5 levels, wind speed, body temperature, and heart rate on a monitor and the LINE app. It alerts with sounds and lights when values reach risky levels, helping safety executives take preventive actions. After the safety support system development was completed, the researcher tested and evaluated the system using the Black Box Testing method, involving 15 experts who assessed the system’s performance in three areas. The Perception of Usefulness received an average score of 4.120, indicating a high level. System Efficiency had an average score of 4.333, which was also high, and Data Quality received an average score of 4.156, which was high as well. Additionally, 60 climbers used the system and provided evaluations. For Perceived Usefulness, the average score was 4.040, System Efficiency obtained a score of 4.167, and Data Quality scored 4.167, all indicating high levels. These results suggest that the system development met its objectives and can be effectively applied in the future.

The Impact of Digital Technology Use on Farmers Quality of Life: Evidence from Rural China

2024-11-02T12:33:10+07:00

This study examines the impact of digital technology on the quality of life of rural farmers in China using data from the 2018 China Family Panel Studies. Our analysis, based on a sample of 11,644 individuals, highlights that digital technology significantly enhances the quality of life, with notable differences across regional boundaries. The most pronounced benefits are observed in the eastern and central provinces, whereas the western provinces show minimal improvement. Further, we identify non-farm employment and job income as key mediators in the relationship between digital technology use and quality of life improvements. These findings suggest that targeted digital infrastructure investments could substantially benefit rural populations, particularly in underdeveloped areas, advocating for a region-specific approach to digital development in rural China.

Application of Expert Systems with Artificial Intelligence in the Medical Field: A Literature Review

2024-09-30T14:37:44+07:00

Artificial intelligence (AI) has made enormous progress in recent decades, significantly influencing various industries, including the medical field. An expert system is a type of artificial intelligence that deliver specialized services in addition to experts by gathering specialty knowledge and expert information in a specific field. In light of the swift rise of Internet technology, the way expert systems are created and supplied has changed. The study used Google Scholar as the online database that provides published content about expert systems that apply AI in the medical field and covers the period of 2019 to 2024 to collect the latest data. The influence and effectiveness of utilizing an expert system with AI across various specializations are emphasized in this study's analysis of their uses in medicine. By using expert systems, they can mimic the decision-making of a human expert, improving healthcare results. Several medical specialties, including gynecology, neurology, orthopedics, ophthalmology, and cardiology, use these solutions based on AI. However, every field has its own set of difficulties, and technological developments are impacting the accuracy and reliability of diagnosis, especially gynecological diseases, which are more complex and diverse. Despite the difficulties, expert systems with AI can provide innovative solutions that can improve patient care. Understanding how AI works can pave the way for future innovation and progress in medical technologies, creating better patient results and more efficient healthcare systems. Educating medical personnel about AI and its applications could help them use these tools more efficiently to provide better patient care.

Efficient Photodegradation of Biebrich Scarlet in Water by CuFe-LDH Decorated with Potential Photocatalysts

2025-02-09T20:49:42+07:00

CuFe-layered double hydroxide (CuFe-LDH) is an environmentally friendly 2D material with positively charged active sites, offering a high ability to remove toxic anionic chemicals in wastewater. In the study, CuFe-LDH was synthesized by the precipitation under magnetic stirring for 12 h, followed by the hydrothermal reaction at 160 °C for 8 h, and utilized as both adsorbent and photocatalyst for eliminating Biebrich Scarlet anions from water. The as-prepared product corresponded to the LDH brucite-like structure with the interlayer nitrate anions and was decorated with FeOOH, Fe₂O_3, and CuO. Besides, CuAl-LDH exhibited a large surface area and broad absorption band in the 400–800 nm wavelength range. The product exhibited a high maximum adsorption capacity for removing Biebrich Scarlet in water through the electrostatic interaction and the efficient photocatalytic activity under visible light irradiation for 240 min. The excellent removal efficiency of the toxic species in water was attributed to the combined effects of CuFe-LDH and the semiconducting properties of FeOOH, Fe₂O₃, and CuO.

Assessing the Antioxidant Activity and Anti-inflammatory Potency on Lipopolysaccharide-induced RAW 264.7 Macrophages of Eleven Methanolic Extracts Indigenous Vegetables

2024-11-14T18:37:02+07:00

Indigenous vegetables have long been part of the traditional diet in southern Thailand, often paired with spicy foods. This study aimed to explore the total phenolic and flavonoid contents of eleven commonly consumed indigenous vegetables in Nakhon Si Thammarat province, while also evaluating their antioxidant and anti-inflammatory properties through methanolic crude extracts. The findings revealed that Litsea petiolate (LP) contained the highest amount of flavonoids, with 270.90 ± 6.175 mg QE/g extract, whereas Anacardium occidentale (AO) showed the greatest phenolic content at 160.40 ± 1.32 mg GAE/g extract. In terms of antioxidant properties, Glochidion wallichianum (GW) demonstrated significant activity through the FRAP assay, yielding 484.08 ± 10.010 μmole TE/g extract and 4,115.36 ± 100.00 μmole Fe²⁺/g extract. Meanwhile, AO exhibited the most substantial results in the DPPH assay, with an 85.99 ± 0.762 mg/ml capacity. The IC₅₀ values of AO (7.39 ± 0.176 mg/ml) and GW (7.70 ± 0.820 mg/ml) surpassed that of ascorbic acid, indicating their high antioxidant potential. In terms of anti-inflammatory effects, Crassocephalum crepidioides (CC) effectively inhibited nitric oxide production at different concentrations, while the LP extract impacted the viability of the RAW264.7 cell line, a distinction not observed in the other vegetables studied. These results underscore the significant bioactive potential of these indigenous vegetables. This not only enhances their value in sustainable food systems but also highlights their educational importance in promoting knowledge of the plant cycle for future generations

The Impact of Different Colors of Light-Emitting Diodes on Cacti Germination and Seedling Growth

2024-12-06T15:53:54+07:00

To identify suitable light colors to break seed dormancy and enhance the growth of cactus seedlings. A short photoperiod and less light intensity affect seedlings, resulting in low germination and slow growth. Four cacti species are A. asterias, E. grusonii, M. geometrizans, and T. alonsoi, commonly grown as ornamental plants. The completely randomized design was experimental. The plant was cultured under the five different colors of light-emitting diodes (LEDs): natural light (NL), red, blue, green, and white LED, providing light for 12 hours/day. The results found that all cactus seeds can absorb water and have more than 50% viability, except for E. grusonii. The seed germination (%G) increased in NL and various colors of LED. White LED had the highest %G in A. asterias, but green LED had the highest α-amylase activity. In E. grusonii, M. geometrizans, and T. alonsoi, %G and α-amylase activity were the highest under red LED. In addition, all four cacti species had the lowest mean germination time under red LED. The growth of A. asterias and M. geometrizans had the highest seedling vigor, stem diameter, plant height, and root length under NL. They had the highest chlorophyll a and chlorophyll b. In E. grusonii and T. alonsoi under NL, with the highest stem diameter, plant height and increases chlorophyll a and chlorophyll b. However, white light has the maximum root length and seedling vigor. Thus, red, green, and white LEDs effectively break seed dormancy, while white LEDs stimulate cactus growth as the natural light.

Sustainable Construction with Cost-effective High-performance Building Materials: Utilizing Natural Activated Carbon Nanofillers Reinforced HDPE Nanocomposite

2024-11-23T18:10:05+07:00

This study explores the development of HDPE nanocomposites reinforced with low-cost, naturally derived activated nanocarbon (ACN) fillers, providing an alternative to conventional carbon nanotube (CNT)-reinforced HDPE, which, despite its superior properties, remains expensive and complex to fabricate. ACN-HDPE nanocomposites were fabricated at varying filler loadings (2 wt.%, 5 wt.%, and 10 wt.%) and systematically compared with CNT-HDPE counterparts (1 wt.% and 2 wt.%) across multiple performance metrics. These included mechanical strength (tensile strength, impact strength, flexural stress, compressive strength, and elongation at break), thermal stability (heat deflection temperature, vicat softening point, and oxidative induction time), flammability (vertical burn tests), and weather resistance (UV/moisture aging and gas permeability). The results demonstrate that 10 wt.% ACN-HDPE composites achieved a 161% increase in impact strength and substantial improvements in other mechanical parameters. Thermal properties were markedly enhanced, with a 51% increase in heat deflection temperature, a 39% rise in Vicat softening point, and a remarkable 426% extension in oxidative induction time. Flammability resistance improved by 93%, while UV/moisture degradation and gas permeability were reduced by 12% and 60%, respectively. These composites performed comparably to 2 wt.% CNT-HDPE in all evaluated aspects, emphasizing their viability for high-performance applications. With enhanced mechanical, thermal, and flame-retardant properties, ACN-HDPE nanocomposites offer a cost-effective, eco-friendly alternative to CNT-HDPE and pristine HDPE. These materials present a transformative solution for sustainable construction, delivering high performance while significantly reducing costs and environmental impact.

Predicting Dew Point Temperatures: A Machine Learning Approach with SHAP Explanations

2024-10-07T16:01:28+07:00

In industrial production, controlling the dew point temperature is crucial for maintaining operational efficiency and product quality. This research aims to apply machine learning models to predict dew point temperatures and enhance model interpretability using SHapley Additive exPlanations (SHAP) to explain feature contributions. The data was collected from an Industrial Internet of Things (IIoT) system, and models evaluated include Linear Regression, Ridge Regression, Lasso Regression, Decision Trees, Random Forest, Gradient Boosting, XGBoost, Support Vector Regression (SVR), and k-Nearest Neighbors (KNN). The results indicated that the Random Forest model performed best, with the highest R² (0.94) and the lowest RMSE (0.82). Other well-performing models include Gradient Boosting, with an R² of 0.93 and an RMSE of 0.86, and XGBoost, with an R² of 0.93 and an RMSE of 0.87. For model interpretability, the real-time power consumption of the system ("ACTIVE POWER"), supply air temperature ("TEMP IN"), and supply air humidity ("HUM IN") were identified as important factors influencing the predictions. The SHAP analysis provided local and global insights into feature importance, enabling more informed decision-making in dew point control. These findings demonstrate the potential of integrating machine learning and explainable AI in industrial applications to advance operational strategies and safety measures.

Innovative Prototype of Zero-Waste Food Production System to Support Integrated Farming

2024-10-11T16:56:18+07:00

The research aims to develop the prototype of a zero-waste food production system innovation to support integrated farming. The innovation is a process innovation consisting of 4 processes. The results can be summarized as follows: 1) Commercial Azolla cultivation could cultivate 4 kg/m3 in 10 days using a specific formula from the research. Formula C consists of 58 kg of cow manure and 1.2 kg of rock phosphate, the best formula for Azolla cultivation. 2) Catfish cultivation in cement pipes is a recirculating catfish cultivation system that saves costs and is environmentally friendly. No wastewater is released from the system (Zero-waste). It uses treated water from Azolla cultivation in process 1. Catfish was cultivated with pellet fish foods at FF: AZ ratio of 50: 50, which was the best ratio from this research. To reduce the cost, within 12 weeks (3 months), the catfish weighed approximately 155 grams per fish (6 fish per kilogram) and was processed into pickled catfish. 3) Soil development using the ratio of Worm castings (WC) 1: Fresh Azolla (FA) 1: Black rice husk (BRH) 1: Soil (S) 1 was the best formula from the research. Using treated water from Azolla cultivation (process 1) with a drip irrigation system to grow eggplant could help the eggplant to grow well. It could yield the highest eggplant up to 1,869 kg/rai. Finally, 4) All processes use a solar cell electricity system (renewable energy system) that is used in the system to reduce electricity costs.

Investigating the Performance of Metering Methods in Managing Unbalanced Roundabouts Using VISSIM

2024-12-06T20:08:05+07:00

Unbalanced roundabouts often face higher traffic volumes on certain approaches, leading to congestion and delays. Metering signals can help reduce delays, manage queues, and optimize performance. This study evaluates the effectiveness of metering signals in improving traffic flow at unbalanced roundabouts using VISSIM simulation software. The study focuses on identifying optimal detector placements to minimize delays and queues. Results showed that at 4:30 pm, both the North and West Lanes had LOS F, but after introducing signals at the South Lane and optimizing detector placement at 240 meters, the West Lane improved to LOS D and the North Lane to LOS B. At noon, the West Lane initially had LOS F. Still, with signal control adjustments at the 350-meter detector, it improved to LOS D. Emissions and fuel consumption also decreased in the South and East Lanes, demonstrating that metering signals can significantly enhance roundabout performance. This study was limited by using a student version of VISSIM, which restricted signal control to a 2-stage system.

Development of a Dust Cleaning Robot Controlled using Arduino Microcontroller for Solar Photovoltaic Panel Maintenance

2024-10-07T16:57:46+07:00

The electricity production of solar photovoltaic (PV) panels often decreases over time due to dust accumulation. Thus, regular cleaning is necessary to maintain optimal electricity production efficiency. Advanced cleaning technologies are commonly used in commercial solar farms. However, household solar PV systems may face challenges in adopting such technologies due to budget constraints or cost-effectiveness considerations. In this work, a low-cost dust-cleaning robot for solar PV panel cleaning systems, utilizing Arduino microcontrollers, was developed. The robot’s performance was tested under natural climate conditions, and satisfactory results were demonstrated in removing dust from solar PV panels to sustain electricity generation. This innovation system effectively addresses household solar PV systems' dust accumulation and maintenance issues.

The Development of Web Application and Projection System for Assisting Patients with Chest X-Ray Positioning

2024-11-18T23:01:22+07:00

Chest X-ray imaging helps doctors assess the severity of infectious diseases. Radiologic technologists directly involved in chest X-rays are at risk of exposure while preparing patients for imaging. To address these issues, we developed the XBOT web Application and projection system to assist patients with chest X-ray positioning. The XBOT web application and projection systems have been developed to provide bilingual guidance for chest X-ray positioning, posteroanterior, and lateral view. The systems use Thai and English instructions and video demonstrations. We produce engaging videos for projection systems that effectively demonstrate the proper positioning on a bucky wall stand. User experience and satisfaction with the positioning systems were evaluated. In this study involving 13 volunteers, the average time for chest X-ray positioning was 11.52 seconds for the right lateral, 15.22 seconds for the left lateral, and 22.90 seconds for the PA view. The study demonstrated the effectiveness of the XBOT system in chest X-ray positioning. The right lateral view achieved the highest average score of 5.00 ± 0.00 points, followed by the left lateral view at 4.77 ± 0.42 points and the PA view at 4.23 ± 0.42 points. Satisfaction with the XBOT Web Application and Projection System resulted in an overall score of 4.25 ± 0.67, indicating general satisfaction with its performance. The results indicate precise positioning, suggesting that the XBOT web application and projection systems may reduce staff workload. Minimizing contact between patients and radiologic technologists may also lower the risk of infection within the hospital.

Structural and Electrical Characteristics of CaCu3-xFexTi4O12 Ceramics

2025-01-30T21:13:32+07:00

Fe³⁺ doped CaCu₃Ti₄O₁₂ ceramics were successfully synthesized using a ball-milling oxide approach. Introducing Fe³⁺ doping resulted in a refined microstructure, significantly reducing the mean grain size of the CaCu₃Ti₄O₁₂ ceramics. Dielectric property measurements were conducted at various temperatures. Increasing the Fe³⁺ content from 0 to 0.1 mol at room temperature led to a substantial decrease in dielectric permittivity, dropping from approximately 66246 to 435 at 10 kHz. This reduction in dielectric permittivity is closely associated with a substantial increase in grain resistance, which results in lower polarization density per volume and further contributes to the decline in dielectric permittivity. Additionally, low-frequency relaxation was observed at room temperature due to Fe³⁺ doping, likely attributed to grain boundary effects, specifically grain boundary relaxation. At elevated temperatures, the influence of grain boundaries in the doped ceramics becomes more pronounced than the extremely high grain resistance, leading to complete interfacial polarization and, thus, high dielectric permittivity within this temperature range. Furthermore, all Fe³⁺ doped CaCu₃Ti₄O₁₂ ceramics exhibited nonlinear J-E characteristics, with the breakdown electric field enhanced from 31 to 41 V/cm due to Fe³⁺ doping. Although the doping of Fe³⁺ into the CaCu₃Ti₄O₁₂ lattice does not enhance the energy storage properties due to the reduced permittivity at room temperature, the findings from this study provide crucial fundamental information. This knowledge will serve as a valuable foundation for researchers interested in developing CaCu₃Ti₄O₁₂ ceramics, enabling further advancements in applications for electronic devices, energy storage, or other advanced technologies in the future.

Characterization of Red Palm Oil from Elaeis guineensis Produced by Multi-step Fractionation and Assessment of Anti-inflammatory Activity

2025-01-20T19:13:29+07:00

An economical processing method for red palm oil production was developed for small and medium-sized businesses (SMEs). Crude palm oil was obtained from oil palm fruits (Elaeis guineensis). The optimal degumming conditions were determined. A multi-step fractionation at 34, 25, and 15 °C with the cooling rates of 60 °C /hr and 10 °C /hr were compared. The optimal degumming conditions were 20 min at a temperature of 90 °C, phosphoric acid to citric acid of 0.06:0.04%, and a cooling rate of 10 °C /hr. The red palm oil contained 43.54% oleic acid, 747.22 mg/kg carotenoids, 856.91 mg/kg vitamin E, and 55.70% yield at optimal conditions. The anti-inflammatory activity in RAW264.7 macrophages stimulated with lipopolysaccharide (LPS) showed that the oil could reduce the production of nitric oxide and prostaglandin E2 (PGE2) in LPS-stimulated RAW264.7 cells. The oil attenuated LPS-induced mRNA expression of inflammatory mediators and cytokines by inhibiting the NF-κB and MAPK signaling pathways in LPS-stimulated macrophages. The results suggest that the developed process could effectively produce red palm oil with promising anti-inflammatory properties.

Effects of Selected Probiotics on Water Quality and Growth Performance of Nile Tilapia Cultured in a Recirculating Water System.

2025-02-02T12:39:11+07:00

This study used selected probiotics (Bacillus subtilis HW3B and Lactiplantibacillus plantarum DW5L) in combination with a recirculating water system to evaluate the effects of the selected probiotics on Nile tilapia growth and water quality in the culture system. The experiment was conducted in aquaria (45 x 60 x 45 cm for each aquarium with 150 liters of water and a 40-liter internal filtration system). Both selected probiotic bacteria were tested in raising 15 fish, 2-3-inch in each Nile tilapia in aquaria with a recirculating water system for 10 weeks by consisting of 4 experimental sets with 5 replications each, consisting of T1 (control set – no microbial products added), T2 (microbial inoculum PM.1, a product of Department of Fisheries as positive control), T3 (mixed selected probiotic strains HW3B and DW5L at 1:1 by volume), and T4 (only B. subtilis HW3B). It was found that T3 significantly controlled BOD and TSS (P < 0.05) better than the control set. T2 was the most effective to control total ammonia, nitrite, nitrate, and total phosphorus, followed by T3, with significant differences. The number of detected bacteria fluctuated with the level of BOD in the water. A significant increase of total bacteria found in T 1 and T4 sets (P < 0.05), while Bacillus spp. found in all inoculated sets (P < 0.05). A remarkable increase of lactic acid bacteria (LAB) was observed only in T3 set (P < 0.05). It can be concluded that the use of T3 (the mixed probiotics HW3B and DW5L set) in combination with the recirculating water system can reduce the amount of waste in the water almost as effectively as the positive control (T2) and significantly better than the control set (T1). Moreover, T3 showed a better tilapia growth performance on final fish body weight and average daily length values compared with the T1 set (P < 0.05).

A Comparative Study of OSPF Metrics in Routing Algorithms for Dynamic Path Selection in Network Security

2025-02-19T14:27:22+07:00

Open-path first (OSPF) algorithms optimize paths using shortest-path metrics, often overlooking security considerations and adaptability in dynamic network environments. Many OSPF implementations use fixed cost values that do not adapt to network conditions. Research is needed to develop adaptive cost functions that dynamically respond to security threats. This paper compares cost metrics in OSPF routing algorithms to evaluate their effectiveness in dynamic path selection within network security contexts. By incorporating diverse cost functions and assessing their performance across security conditions, this study seeks to identify metrics that evaluate performance. To achieve this, OSPF routing algorithms were analyzed using different cost metrics, including step, linear, and exponential functions. Through simulations, the algorithms were tested under a Barabási-Albert topology, from routine operations to threat-prone scenarios, to evaluate their capabilities in dynamic path selection and resilience against security threats. The numerical results highlight a trade-off among the step, linear, and exponential cost functions, with average delays of 0.553 ms, 0.653 ms, and 0.517 ms, respectively, and average jitters of 0.210 μs, 0.201 μs, and 0.205 μs. The packet delivery success (PDS) rates are also recorded at 87.64%, 86.76%, and 86.18% for the step, linear, and exponential cost functions, respectively. This approach facilitates an analysis aimed at balancing performance with security considerations.

Regeneration of Soil Fertility in Relationship with the Diversification of Rubber Agroforestry Systems

2025-02-19T17:08:51+07:00

Rubber agroforestry is an agricultural system that integrates rubber trees with other compatible crops or trees to optimize land use, improve soil fertility, and enhance biodiversity. This study compares the soil richness of Rubber Agroforestry (RF) plantations with varying species diversity and Rubber Monoculture (RM) plantations. The research was conducted in Phatthalung Province, Thailand, a region with a long history of rubber agroforestry, though some areas are cultivated as rubber monocultures. Soil samples were collected at 0–15 cm and 15–30 cm depths and analyzed for physical characteristics, organic matter content, and nutrient composition. The findings indicate that soil quality is influenced by plantation type, soil depth, and locality. RM and RF plantations exhibit differences in soil physical properties, cation exchange capacity (CEC), organic carbon (OM), total nitrogen, phosphorus, potassium, calcium, and magnesium content. Across all parameters studied, except phosphorus, RF plantations demonstrated higher soil fertility indicators than RM plantations. Additionally, the NDVI analysis from 2017 to 2023 showed that RF plantations had a plant cover of 63%, compared to 58% in RM plantations. The higher plant density in RF plantations contributed to organic matter accumulation, thereby enhancing soil fertility. Conclusion: The study highlights that rubber agroforestry practices contribute to increased soil nutrient levels and organic matter content, underscoring their potential benefits for sustainable land management.

The Potential of Latex Waste Sludge as an Alternative Fuel Briquettes

2024-11-24T18:19:28+07:00

This study investigates the conversion of latex waste sludge, a valueless byproduct from rubber manufacturing, into sustainable fuel briquettes. With increasing environmental concerns and energy demands, repurposing industrial waste offers promising alternatives to conventional waste management while reducing dependence on fossil fuels. Using a systematic experimental approach with 3 levels, 2 factors, and 3 replications, we determined optimal formulations for briquette production. The study evaluated various mixing ratios of latex waste sludge with rubber leaves and rubber leaf charcoal. All produced briquettes underwent comprehensive analysis for key parameters, including heating value, moisture content, ash content, volatile matter, and fixed carbon content. Results demonstrated that incorporating rubber plant biomass significantly enhanced the briquettes' fuel properties. The addition of rubber leaves increased heating values and fixed carbon content while decreasing ash content. Furthermore, using rubber leaf charcoal instead of raw leaves substantially improved combustion efficiency and reduced soot and ash production. However, rubber leaf content exceeding 35% compromised briquette structural integrity. The optimal formulation contained 83% latex waste sludge and 17% rubber leaf charcoal by mass. This composition achieved the best balance of thermal performance, structural stability, and reduced emissions. This research contributes to circular economy principles by transforming industrial waste into valuable energy resources. The findings suggest that latex waste sludge, previously considered worthless, can be effectively upcycled into efficient fuel briquettes, providing sustainable solutions for both waste management and alternative energy development.

Effect of Monosodium Glutamate on the Growth and Quality of Sunflower Microgreens

2024-12-06T15:29:22+07:00

Microgreens are increasingly recognized as functional foods due to their low-calorie content and rich profile of micronutrients and antioxidants. Sunflower microgreens, in particular, are known for their high levels of protein, vitamin C, phenols, fiber, and antioxidant activity. This study aimed to investigate the effect of monosodium glutamate (MSG) as an alternative nitrogen fertilizer on the growth and quality of sunflower microgreens. Five treatments were tested: MSG 1 (639.2 mg/L), MSG 2 (319.6 mg/L), MSG 3 (159.8 mg/L), deionized water, and Hoagland and Arnon solution, using a Randomized Complete Block Design with three replications. The results showed no significant differences among the treatments regarding fresh weight, dry weight, chlorophyll content (a and b), carotenoid, xanthophyll, nitrate, nitrite, and crude fiber content. However, sunflower microgreens treated with MSG 1 had the highest ammonium content (2.107 µmol/g fresh weight), while the Hoagland and Arnon treatment had the lowest (0.468 µmol/g fresh weight). Protein content was significantly lower in sunflower microgreens treated with MSG 1 (15.10 mg/mL) and highest in those treated with MSG 3 (21.82 mg/mL). Amino acids such as cysteine, phenylalanine, tyrosine, tryptophan, and histidine were present across all treatments. The study concluded that, while MSG did not significantly enhance growth, the quality of sunflower microgreens was better in treatments with MSG 2, MSG 3, deionized water, and Hoagland and Arnon compared to MSG 1.