cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
Research of Scientia Naturalis
Published by Yayasan Adra Karima Hubbi
ISSN : 30479932     EISSN : 30479940     DOI : 10.70177/scientia
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Chemistry Physics
Research of Scientia Naturalis is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the research fields of Mathematics and Natural Sciences. All publications provide breadth of coverage appropriate to a wide readership in Mathematics and Natural Sciences research depth to inform specialists in that area. We feel that the rapidly growing Research of Scientia Naturalis community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Umum - Umum
Articles 60 Documents
 2   3   4   5   6 
Nanostructured Materials for Efficient Catalysis in Chemical Reactions Jihoon, Park; Sin, Ri Hwa; Chuluunbaatar, Erdenetsetseg
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2013

Abstract

The quest for more efficient catalytic materials has intensified due to the growing demand for sustainable chemical processes. Nanostructured materials have emerged as promising candidates, offering enhanced surface area and reactivity, which can significantly improve catalytic performance. This study aims to investigate the role of nanostructured materials in catalysis, focusing on their synthesis, characterization, and application in various chemical reactions. The goal is to identify the optimal conditions for maximizing catalytic efficiency. A series of nanostructured catalysts were synthesized using sol-gel and hydrothermal methods. Characterization techniques, including scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray diffraction (XRD), were employed to analyze the structural and morphological properties of the materials. Catalytic performance was evaluated through various model reactions, such as hydrogenation and oxidation. The findings revealed that nanostructured materials exhibited significantly higher catalytic activity compared to their bulk counterparts. Specific catalysts demonstrated up to a 70% increase in reaction rates, attributed to their enhanced surface area and active sites. The study also identified optimal synthesis parameters that further improved catalytic performance. This research highlights the potential of nanostructured materials to revolutionize catalysis in chemical reactions. By optimizing synthesis methods and understanding the relationship between structure and activity, it is possible to develop more efficient catalysts for sustainable chemical processes.
The Role of Microbial Communities in Ecosystem Functioning: A Zoological and Ecological Approach Erdogan, Aylin; Akbulut, Baran; Zeynalov, Serdar
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2014

Abstract

The microbial communities play a crucial role in maintaining ecosystem functions by driving various biological processes, including nutrient cycling, energy flow, and species interactions. Despite extensive studies on individual species, the holistic role of microbial communities within ecosystems, particularly from a zoological and ecological perspective, remains underexplored. This study aims to analyze the interrelationship between microbial communities and ecosystem functions, emphasizing their impact on animal health, productivity, and biodiversity. The research employs a combination of field observations, laboratory analyses, and statistical modeling to investigate microbial diversity across different habitats. Field samples were collected from diverse ecosystems, including forests, grasslands, and aquatic environments, to assess microbial composition and its association with local fauna. Results indicate significant correlations between microbial diversity and ecosystem productivity, with specific microbial taxa contributing to enhanced nutrient availability and animal health. Moreover, the findings reveal that changes in microbial communities due to environmental stressors, such as climate change and habitat fragmentation, can negatively affect ecosystem resilience. In conclusion, this study highlights the pivotal role of microbial communities in supporting ecosystem functions, providing a basis for conservation strategies that integrate microbial management to enhance ecological balance and sustainability.
Plant Stress Responses: Molecular Mechanisms and Ecological Impact Yazdani, Sahar; Karimi, Reza; Al-Mousawi, Zainab
Research of Scientia Naturalis Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i1.2015

Abstract

Plant stress responses play a crucial role in determining plant survival and productivity under various environmental conditions. Stress factors such as drought, extreme temperatures, and pathogen attacks can significantly affect plant growth, metabolism, and overall ecosystem balance. Despite extensive research on individual stress mechanisms, a comprehensive understanding of the molecular pathways that mediate these responses remains limited. This study aims to investigate the molecular mechanisms underlying plant stress responses and their broader ecological impact, focusing on how plants adapt to multiple stressors simultaneously. A combination of laboratory experiments and field observations was employed to examine gene expression, protein synthesis, and physiological changes in plants exposed to stress. Molecular techniques such as RNA sequencing, protein assays, and enzyme activity analysis were used to identify key genes and proteins involved in stress responses. Results reveal that plants activate complex signaling networks involving hormones like abscisic acid, salicylic acid, and ethylene to manage stress. Specific genes, such as DREB and NAC families, are upregulated to enhance tolerance, while antioxidant enzymes play a significant role in mitigating oxidative damage. These responses contribute to improved plant resilience and stability within ecosystems. The study concludes that understanding the molecular mechanisms of plant stress responses is essential for developing strategies to enhance crop resilience and ecological sustainability.
CRISPR-Cas9 Mediated Genetic Enhancement of Drought Tolerance in Maize: A Molecular and Field Validation Study Hazmi, Muhammad; Nizam, Zain; Anis, Nina
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2382

Abstract

Drought is a primary constraint on maize (Zea mays L.) productivity worldwide, threatening global food security. The development of climate-resilient crops is therefore a critical priority. This study aimed to enhance drought tolerance in maize by utilizing the CRISPR-Cas9 system to edit a key negative regulator gene involved in the drought stress response pathway. The research employed an Agrobacterium-mediated transformation method to introduce the CRISPR-Cas9 construct into maize embryos. Putative edited plants were rigorously screened using molecular techniques, including PCR and Sanger sequencing, to confirm successful gene modification. Validated T1 generation lines were then subjected to controlled drought stress conditions in greenhouse trials and subsequently evaluated in multi-location field trials. The edited maize lines exhibited significantly improved physiological and agronomic performance under water-deficit conditions, including enhanced photosynthetic efficiency, reduced leaf water loss, and a 15-20% increase in grain yield compared to non-edited wild-type controls. This study demonstrates the efficacy of CRISPR-Cas9 for developing drought-tolerant maize, offering a precise and rapid strategy for crop improvement to mitigate the impacts of climate change.
Real-Time Sensing of Airborne Pollutants Using IoT-Integrated Electrochemical Sensors Nampira, Ardi Azhar; Pong, Ming; Lek, Siri
Research of Scientia Naturalis Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i5.2383

Abstract

Air pollution poses a significant threat to public health, demanding effective real-time monitoring solutions. Traditional monitoring systems are often costly and sparsely located, limiting their spatial-temporal resolution. This study aimed to develop and validate a low-cost, IoT-integrated electrochemical sensor system for the real-time detection of key airborne pollutants. We fabricated electrochemical sensors for nitrogen dioxide (NO?), sulfur dioxide (SO?), and volatile organic compounds (VOCs), which were then integrated with a microcontroller and a wireless communication module. The system was calibrated and validated against reference instruments in both laboratory and field conditions. The developed sensors exhibited high sensitivity, good selectivity, and rapid response times (<60s). Field data demonstrated a strong correlation (R² > 0.92) with co-located reference-grade analyzers, and the IoT platform successfully provided continuous data visualization via a cloud dashboard. This study confirms that IoT-integrated electrochemical sensors provide a scalable and cost-effective solution for building dense, real-time air quality monitoring networks, offering significant potential for urban environmental management.
Photocatalytic Degradation of Pharmaceutical Waste Using ZnO/CuO Thin Films Under Visible Light Vann, Dara; Dara, Ravi; Rocha, Thiago; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2384

Abstract

The increasing presence of persistent pharmaceutical contaminants in water bodies poses a significant threat to environmental and human health, necessitating effective remediation technologies. This study aimed to develop and evaluate zinc oxide/copper oxide (ZnO/CuO) composite thin films as an efficient photocatalyst for degrading pharmaceutical waste under visible light. The ZnO/CuO thin films were synthesized via a sol-gel spin-coating method, and their photocatalytic activity was assessed using diclofenac as a model pollutant. The results demonstrated that the ZnO/CuO heterostructure exhibited enhanced visible light absorption and superior photocatalytic performance compared to pure ZnO. The composite films achieved over 90% degradation of diclofenac within 120 minutes, with the process following pseudo-first-order kinetics. The enhanced efficiency is attributed to effective charge separation at the ZnO/CuO interface. This research confirms that ZnO/CuO thin films are promising, reusable photocatalysts for the sustainable treatment of pharmaceutical-contaminated water.
Ferroelectric Thin Films for Neuromorphic Computing: Synthesis, Characterization, and Device Integration Huda, Nurul; Zaki, Amin; Chai, Nong; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2385

Abstract

The limitations of conventional von Neumann computing architectures in handling complex, data-intensive tasks have spurred significant interest in brain-inspired neuromorphic computing. A critical challenge in this field is the development of hardware that can efficiently emulate the synaptic plasticity of biological neurons. This study focuses on the synthesis, characterization, and integration of ferroelectric thin films, specifically hafnium zirconium oxide (HZO), as a promising material platform for creating artificial synaptic devices. The primary objective was to fabricate high-quality HZO thin films and demonstrate their capacity to mimic key synaptic functions. HZO films were synthesized using pulsed laser deposition, followed by comprehensive characterization of their structural, ferroelectric, and electrical properties using XRD, PFM, and I-V measurements. The optimized films were then integrated into two-terminal memristive device structures. The resulting devices successfully exhibited essential synaptic behaviors, including potentiation, depression, and spike-timing-dependent plasticity (STDP), with low energy consumption per synaptic event. The gradual and controllable modulation of ferroelectric domain switching was identified as the core mechanism enabling this analog-like resistance modulation.  
Synthetic Biology-Driven Bioplastics: A Life Cycle Assessment and Environmental Impact Study Azhar, Ardi Azhar; Alves, Livia; Gomez, Raul
Research of Scientia Naturalis Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i5.2386

Abstract

The pervasive environmental pollution caused by petroleum-based plastics has catalyzed the search for sustainable alternatives. Bioplastics, derived from renewable biomass, offer a promising solution, yet their production can be inefficient and compete with food resources. Synthetic biology provides powerful tools to engineer microorganisms for the high-yield production of bioplastics like polyhydroxyalkanoates (PHA) from non-food feedstocks. This study aimed to conduct a comprehensive life cycle assessment (LCA) to quantify and compare the environmental impacts of PHA produced via a synthetically engineered microbial platform against conventional polyethylene terephthalate (PET). A "cradle-to-grave" LCA methodology was employed, encompassing feedstock cultivation, fermentation, polymer extraction, and end-of-life scenarios including landfilling and industrial composting. The results revealed that the synthetic biology-driven PHA exhibited a 65% lower global warming potential and a 70% reduction in non-renewable energy use compared to PET. However, it showed higher impacts in eutrophication and land use, linked to its lignocellulosic feedstock origins. The end-of-life analysis confirmed the significant advantage of PHA’s biodegradability. This study concludes that while synthetic biology-driven bioplastics offer substantial benefits in carbon footprint and fossil fuel dependency, a holistic view is crucial.  
Al-Augmented Spectroscopy for Early Detection of Cervical Cancer Biomarkers Zani, Benny Novico; Rith, Vicheka; Dara, Ravi
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2387

Abstract

Cervical cancer remains a leading cause of mortality among women worldwide, primarily due to challenges in early and accurate detection. Conventional screening methods like Pap smears are subject to human error and have moderate sensitivity. This study aimed to develop and validate a novel, non-invasive diagnostic platform combining Raman spectroscopy with artificial intelligence (AI) for the rapid and highly accurate detection of early-stage cervical cancer biomarkers. The objective was to create a system that could overcome the limitations of current screening techniques. We collected cervical cell samples from clinically diagnosed healthy, pre-cancerous (CIN I-III), and cancerous patients. Raman spectroscopy was used to acquire high-resolution biochemical fingerprints from these samples. A custom-developed convolutional neural network (CNN) was then trained on the spectral data to learn and identify subtle biomarker-associated patterns indicative of neoplastic transformation. The AI-augmented system achieved a diagnostic accuracy of 96.5%, with a sensitivity of 98% and a specificity of 95% in differentiating high-grade lesions and cancerous samples from healthy ones. The model successfully identified key spectral shifts related to nucleic acid and protein conformational changes, correlating them with disease progression.
Comparative Analysis of Smart Catalysts for CO? Reduction: From Molecular Design to Lab-Scale Performance Nampira, Ardi Azhar; Mendes, Clara; Costa, Tiago
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2388

Abstract

The electrochemical reduction of carbon dioxide (CO?) is a critical strategy for mitigating climate change and producing value-added chemicals, yet the development of highly selective catalysts remains a primary challenge. This study aimed to conduct a rigorous comparative analysis of three distinct classes of "smart" catalysts—a molecular cobalt complex, a metal-organic framework (MOF), and a single-atom copper catalyst (Cu-SAC)—to elucidate the relationship between molecular design and lab-scale performance. The catalysts were synthesized, characterized via XRD and XAS, and evaluated for electrocatalytic CO? reduction in a flow cell reactor. The results showed that the Cu-SAC exhibited superior performance, achieving a Faradaic efficiency for ethylene (C?H?) exceeding 70% at a low cell voltage, significantly outperforming the MOF and molecular catalysts, which primarily produced CO and formate. This high selectivity was directly correlated with the optimized coordination environment of the isolated Cu sites. This comparative analysis confirms that rational design at the atomic level is a highly effective strategy for steering reaction pathways towards valuable multi-carbon products, providing a crucial benchmark for future catalyst development.  

Page 5 of 6 | Total Record : 60

 2   3   4   5   6 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 6 (2025) Vol. 2 No. 5 (2025) Vol. 2 No. 4 (2025) Vol. 2 No. 3 (2025) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 6 (2024) Vol. 1 No. 5 (2024) Vol. 1 No. 4 (2024) Vol. 1 No. 3 (2024) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024) More Issue