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Environmental and Materials
ISSN : -     EISSN : 30250277     DOI : -
The Environmental and Materials Journal (EAM) is a biannual journal published by the Institute for Advanced Social, Science, and Sustainable Future, Indonesia. This journal is dedicated to issue the most substantial and advanced of original and review articles related with the environmental issues and its related materials. Each submitted article will be carefully and thoroughly examined by a group of professional editors. The Earth’s changing climate and environmental issues need to be urgently addressed and it is a serious challenge for the scientific world. In this regards, the Environmental and Materials Journal seeks to publish high quality articles discussing the environmental problems and the related materials as well as the developed materials to solve the environmental problems. The subjects covered in this journal are: - Environmental issues and its management - Pollutant materials - Material sciences related to the environmental problems solving
Articles 5 Documents
Search results for , issue "Vol. 3 No. 1: (June) 2025" : 5 Documents clear
Preliminary study of screen–printed gold electrode for H2O2 sensor based on electrochemiluminescence of luminol Syukur, Junjunan Muhammad; Sanjaya, Afiten Rahmin; Rahmawati, Isnaini; Ridwan, Muhammad
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1656

Abstract

Background: Hydrogen peroxide (H2O2) is mostly used in the water and dairy industries for sterilization and preservation purposes. However, excessive H2O2 residues in milk and tap water pose a health risk. Therefore, accurate measurement of H2O2 residue is essential.  Methods: This study explores the potential of a screen–printed gold electrode (SPGE) as a sensor for H2O2 sensor using the electrogenerated chemiluminescence (ECL) method of luminol in the electrolyte of phosphate buffer solution (PBS) under alkaline condition (pH of 9). Findings: The detection of H2O2 was achieved a linear calibration equation of y = 0.0215[H2O2] + 0.2006 within a concentration range of 0.5 to 200 µM (R2 = 0.9998), demonstrating reliable ECL measurements.  Conclusion: The analytical performance evaluation of H2O2 sensor exhibited a low limit of detection (LOD) of 3.06 µM, a limit of quantification (LOQ) of 10.20 µM, and good measurement repeatability, with a relative standard deviation (%RSD) of 6.03%, which is below ⅔ of the Horwitz coefficient of variation (9.85%). Unmodified SPGE offers simplicity, ease of use, a stable surface, and good conductivity while maintaining excellent performance. Novelty/Originality of this article: The application of the ECL method on SPGE for H2O2 detection offers excellent analytical performance, making it a promising approach for monitoring H2O2 residues in the water and dairy industries, with a recovery from 83.83 to 106.01%.
A review of TiO2 nanotubes/Co3O4/M (M: Au, Ag) photoelectrode for degradation of methyl orange and methylene blue Setiawati, Nurafni; Hastuti, Wari Tinting
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1848

Abstract

Background: Wastewater containing dyes occurs due to the discharge of wastewater into rivers without undergoing proper treatment procedures as it should. This waste generally comes from the textile industry. Wastewater containing dyes increases the concentration of organic pollutants in wastewater, which can cause water pollution. Textile dyes are generally made from compounds containing aromatic rings, such as methyl orange and methylene blue. Methyl orange and methylene blue are organic pollutants that cannot be biologically degraded because they contain aromatic rings that are difficult to break down, thus posing a risk of environmental pollution and disrupting aquatic ecosystems. Several conventional wastewater treatment methods for dye degradation, such as coagulation, flotation, sedimentation, and filtration, have been applied, but these methods still have limitations. Methods: This review examines recent progress in the development of TiO₂ nanotube-based photoelectrodes modified with Co₃O₄ and noble metals (Ag, Au) for the degradation of methyl orange and methylene blue from wastewater. The use of electrochemical methods has advantages over conventional methods, namely more efficient, environmentally friendly, and flexible for the degradation of dyes in wastewater. The synthesis techniques used are anodization, impregnation-deposition-decomposition, and photodeposition methods. Findings: The development of TiO₂/Co₃O₄/Ag and TiO₂/Co₃O₄/Au nanotube-based photoelectrodes shows better performance in the degradation of organic dyes compared to unmodified TiO₂ photoelectrodes, as they can improve photocatalytic efficiency by expanding visible light absorption and increasing surface reactivity. Conclusion: The use of TiO₂/Co₃O₄/Ag and TiO₂/Co₃O₄/Au materials has great potential as an environmentally friendly and efficient solution in addressing pollution from persistent textile dye wastewater. The implementation of this technology in industrial wastewater treatment systems promotes advances in the fields of photocatalysis and renewable energy. Novelty/Originality of this article: This review is the first to evaluate TiO₂ nanotube/Co₃O₄ photoelectrodes modified with Ag and Au for the degradation of methyl orange and methylene blue.
Advancements in diagnostic approaches for malaria and dengue fever cases in Indonesia and Nigeria Prasaja, Brahma Indra; Ramadhani, Fathia; Abdulhamid, Kabiru Abdullahi
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1906

Abstract

Background: This review aims to compare diagnostic advancements for malaria and dengue fever in Indonesia and Nigeria, highlighting the implementation of AI-based technologies and electrochemical biosensors. Both diseases are endemic in these tropical countries and present overlapping clinical symptoms, making laboratory-based confirmation methods such as RT-PCR and serological assays critical for accurate diagnosis. Methods: A structured literature review was conducted using Scopus, PubMed, and IEEE Xplore databases, focusing on peer-reviewed studies published between 2015 and 2024 that reported diagnostic performance and field applicability of the technologies. This scientific review synthesizes existing literature on infection mechanisms, conventional diagnostic methods (microscopy, RDT, ELISA, PCR), and state-of-the-art sensing technologies, including the AI-based malaria detection system (AIDMAN: YOLOv5 + Transformer + CNN) and electrochemical biosensors for dengue. Findings: The AI approach for malaria achieved high accuracy (patch-level 98.62% AUC 99.92%; image-level 97% AUC 98.84%). Dengue NS1 electrochemical biosensors reached a detection limit of ~10⁻¹² g/mL with excellent sensitivity and reproducibility, suitable for point-of-care use. Conclusion: Integrating sensing technologies from rapid tests to AI-driven microscopy and biosensors enables faster, more accurate diagnosis, improving patient management in resource-limited settings. Novelty/Originality of this article: This is the first comprehensive review that bridges cross-country (Indonesia and Nigeria) and cross-technology (AI and biosensor) approaches, offering valuable insight into sustainable diagnostic innovation for tropical infectious diseases.
Uncovering the spatial link between environmental risks, diarrhea incidence, and health service accessibility Listyono, Girlly Marchlina; Oinike, Adelina; Hambali, Dandi
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1946

Abstract

Background: This study investigates spatial disparities between healthcare capacity, hospital accessibility, and environmental risk of diarrhea in West Java Province. Using a combination of Geographic Information System (GIS), network-based travel-time modeling, Principal Component Analysis (PCA), and clustering, the research identifies mismatches high-risk areas and low-access healthcare infrastructure. Spatial overlay reveals that districts such as Tasikmalaya, Garut, and Cianjur experience dual vulnerabilities—limited healthcare reach and elevated environmental risk indicators. Methods: PCA was used to reduce multicollinearity among six environmental and socioeconomic variables, including access to sanitation, drinking water, latrine type, and poverty level. After excluding three extreme outliers, 24 districts were clustered using PCA-derived composite scores. The clusters were overlaid with hospital accessibility maps from service area analyses (≤30 and 31–60 minutes). PCA explained 80.4% of the total variance. Findings: The results show that 3 out of 27 districts, such as Tasikmalaya, Garut, and Cianjur; exhibited critically low hospital bed ratios, and over 50% of their population is located outside the 30-minute service area of a hospital. PCA-based clustering revealed four spatial risk typologies, with Cluster 4 (extreme outliers) representing the highest composite risk from poor sanitation, communal latrines, and high poverty. These findings underscore a spatial mismatch between environmental vulnerability and healthcare accessibility. Conclusion: Integrated spatial planning is urgently needed in high-risk, low-access areas, combining infrastructure expansion with digital health solutions. Novelty/Originality of this article: This study introduces a spatial typology of diarrhea risk in West Java by integrating PCA and GIS-based accessibility, and aligns its recommendations with Indonesia’s national health policy frameworks (RPJMN 2025–2029 and PP No. 28/2024) to support data-driven, equitable public health interventions.
An acetylcholinesterase-based biosensor of carbofuran using carbon foam electrode modified by graphene and gold particles Pramadewandaru, Respati Kevin; Triani, Sulis; Tesla, Yudhistira; Sanjaya, Afiten Rahmin
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1963

Abstract

Background: This study introduces a novel acetylcholinesterase (AChE)-based biosensor for the sensitive and selective detection of carbofuran, a widely used carbamate pesticide known for its neurotoxicity. Methods: The biosensor employs a carbon foam (CF) electrode modified with graphene oxide and gold nanoparticles (CF/Graphene/Au), leveraging the synergistic properties of these materials to enhance electrochemical performance. Carbofuran detection is achieved through its inhibitory effect on AChE activity, monitored via cyclic voltammetry of thiocholine oxidation. Findings: Under optimal conditions at pH 7.4, the biosensor demonstrated a linear detection range of 25–125 μM, a detection limit of 8.08 μM, and a sensitivity of 0.3874 mA μM⁻¹ cm⁻². It also showed strong reproducibility with a relative standard deviation of 6.77%. When tested on real vegetable samples, the biosensor achieved recovery rates between 88.95% and 111.30%. Conclusion: Compared to existing biosensor technologies, the CF/Graphene/Au-based sensor offers a well-balanced performance in terms of sensitivity, detection range, and practical usability. It presents a viable and portable solution for monitoring pesticide residues in environmental samples. Novelty/Originality of this article:  This work presents a promising, portable solution for environmental monitoring of pesticide residues, integrating advanced nanomaterials and computational validation to improve detection accuracy and reliability.

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