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Green and Tropical Laboratory for Sustainability
Published by Universitas Muhammadiyah Malang
ISSN : -     EISSN : 30645069     DOI : https://doi.org/10.22219/gtlabs.vxiy.xxxxx
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Environmental Science Social Sciences
Green And Tropical Laboratory For Sustainability encompasses a broad range of research areas related to the Sustainable Development Goals (SDGs), including but not limited to: Laboratory-Based Studies on Tropical Ecosystems: Research on biodiversity, climate change, ecosystem restoration, and natural resource management within tropical regions. Development and Application of Laboratory Technologies for Sustainable Energy: Investigations into renewable energy sources, energy efficiency, and clean energy technologies that contribute to sustainable development. Laboratory Research on Waste Management and Pollution Control: Studies focused on waste treatment, recycling, circular economy practices, and pollution mitigation strategies. Laboratory Investigations into Food Security and Sustainable Agriculture: Research on organic farming, agroforestry, food safety, nutritional value, and sustainable agricultural practices. Laboratory Studies on Human Health and Environmental Interactions: Exploration of environmental health risks, infectious diseases, toxicology, and public health interventions. Research on Digital Governance for Sustainable Development: Studies examining the role of digital governance in enhancing sustainability efforts, including the application of digital tools and technologies in managing environmental resources, monitoring ecological impacts, and supporting policy-making processes. Social and Educational Research in the Context of Sustainability: Investigations into social dynamics, educational initiatives, and community engagement strategies that align with sustainability goals, particularly in tropical regions. This includes the integration of sustainability concepts into educational curricula and the promotion of social practices that support green and sustainable development.
Arjuna Subject : Umum - Umum
Articles 20 Documents
 1   2 
The urgency of green laboratory for sustainability: Review from Scopus AI data H. Husamah; Abdulkadir Rahardjanto; Tutut Indria Permana; Ahmad Adnan Mohd Shukri; Burak Olur; Roimil Latifa
Green and Tropical Laboratory for Sustainability Vol. 2 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v2i2.40734

Abstract

Background: The increasing environmental burden of scientific laboratories has prompted a critical need to adopt sustainable practices. Laboratories consume substantial amounts of energy and water and generate hazardous and plastic waste, making them significant contributors to environmental degradation. Objectives: This study aims to explore the urgency, key themes, and strategic contributions of green laboratories to sustainability. Methods: Using a review approach supported by Scopus AI, the study collected and analyzed peer-reviewed data through natural language and keyword-based queries, combined with thematic mapping. Results: Key findings reveal four dominant themes: real-world labs, green chemistry, sustainability in higher education, and green technological innovation. These green lab practices offer benefits including reduced environmental footprint, cost savings, enhanced safety, and alignment with sustainability goals. However, challenges such as financial constraints and resistance to change must be addressed through stakeholder engagement and education. Conclusion: The study concludes that green laboratories play a vital role in sustainability transitions by bridging innovation, education, and environmental responsibility. This review offers a framework for future research and institutional efforts aimed at accelerating green lab adoption worldwide.
In silico study of beta citronellol compound in lime plant (Citrus aurantifolia) as a drug candidate for enterovirus disease Early Maulina; Tanto Situmorang
Green and Tropical Laboratory for Sustainability Vol. 2 No. 1 (2025): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v2i1.41033

Abstract

Background: Human Enterovirus is an RNA virus affecting millions globally, particularly children, causing a range of symptoms from mild to severe, including serious conditions like meningitis and AFP. Current synthetic treatments have side effects, necessitating the exploration of natural alternatives. Lime (Citrus aurantifolia) is a potential candidate. Objectives: To determine the potential of the beta citronellol compound found in lime (Citrus aurantifolia) as an inhibitor of enterovirus activity in in-silico study. Methods: This research employed an in-silico method. This involved analyzing the bioactivity potential of beta citronellol, assessing its bioavailability and toxicity, and performing molecular docking. Data was sourced from PubChem and RSCB PDB. Bioactivity probability was predicted using PASS Online. Virtual screening was conducted via molecular docking with PyRx. Visualization was performed using PyMol and Discovery Studio. Results: The toxicity prediction and molecular docking analysis of beta citronellol against the 3J3Z protein indicated that this compound has a high and specific potential as a receptor candidate for the enterovirus target. Conclusion: The findings of this in silico study suggest that the beta citronellol compound possesses good antiviral activity against enteroviruses.
Flavor meets function: Red grape juice (Vitis vinifera L.) enrichment enhances the microbiological, chemical, and sensory quality of yogurt Intan Rahma Sari; Muhammad Saefi; Didik Wahyudi
Green and Tropical Laboratory for Sustainability Vol. 2 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v2i2.41590

Abstract

Background: One of the main challenges in yoghurt production is the potential for microbiological contamination, especially by Coliform bacteria. Meanwhile, red grapes (Vitis vinifera L.) are known to have bioactive content that has the potential to improve yoghurt quality by not only suppressing coliform bacteria, but also increasing Lactic Acid Bacteria (LAB), reducing pH and acid levels, and improving sensory preferences. Objectives: This study aims to investigate the microbiological, chemical, and organoleptic characteristics of yoghurt after the addition of red grape juice (Vitis vinifera L.). Methods: This study is an exploratory study conducted with four concentrations: K0 (without the addition of red grape juice), K1 (5%), K2 (10%), and K3 (15%). The parameters observed include the number of Coliform bacteria, LAB, lactic acid levels, pH, and organoleptic tests. Data analysis of the total number of LAB, lactic acid levels, the number of coliform bacteria and pH values ​​was carried out descriptively quantitatively. Meanwhile, the results of the organoleptic test were compared between groups using the Kruskal-Walli’s test statistics. Results: The results showed that K3 produced the highest total BAL of 2.71 × 10⁹ CFU/mL. The lowest number of Coliforms of 3 apm/mL was produced by K2, in accordance with the yoghurt quality standards based on SNI 2981:2009. The highest lactic acid content was recorded in K3 of 1.89%, while the lowest pH value was achieved in K3 with a value of 4.00. Organoleptic tests showed that K2 and K3 gave the highest average values ​​for taste, aroma, and color attributes, with a tendency for consumer preference to increase along with the addition of fruit juice concentration. Conclusion: The most favorable results were obtained at concentrations of 10% (K2) and 15% (K3), which provided an optimal balance between sensory quality, microbiological safety, and chemical stability of the product. The addition of red grape juice increased the functional value of yoghurt in microbiological, chemical, and organoleptic aspects.
Accuracy comparison of remote sensing methods (UAV, LiDAR, Radar) and field allometry in mangrove blue carbon quantification: A systematic literature review Ludwick Satria Romadoni; H. Husamah; Bello Ganiyu
Green and Tropical Laboratory for Sustainability Vol. 2 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v2i2.43380

Abstract

Background: Mangrove ecosystems are crucial blue carbon reservoirs, yet quantifying their carbon stocks faces methodological challenges. Field allometric methods, while accurate, are destructive and labor-intensive. Non-destructive Remote Sensing (RS) (UAV, LiDAR, Radar) offers an efficient alternative for landscape-scale mapping. However, literature comparing the accuracy and bias of these diverse RS sensors remains fragmented. Objectives: This study aims to (1) synthesize and compare accuracy metrics  & RMSE from various RS methods in estimating mangrove biomass and carbon stocks, and (2) identify factors in forest structure and sensor types that most significantly influence estimation bias Methods: This research employs a Systematic Literature Review (SLR) guided by PRISMA. Data were extracted from 10 core empirical articles (2018-2025) covering various platforms from optical satellites to UAV-LiDAR. Results: The SLR results indicate that high-cost technologies like LiDAR do not always guarantee the highest accuracy compared to optical sensors (Sentinel-2) under certain conditions. The primary identified bias factor is signal saturation in dense canopies. Conclusion: These findings provide evidence-based guidance for researchers and biology educators in selecting the most robust methodology for carbon inventory.
AI Integration in green labs to achieve the third SDG goal: Literature review on good health and well being Ahmad Fauzi; Diani Fatmawati
Green and Tropical Laboratory for Sustainability Vol. 2 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v2i2.43425

Abstract

Background: Artificial intelligence (AI) is increasingly applied in healthcare and sustainability-related domains to improve efficiency, health outcomes, and decision-making. However, its expanding use also raises critical concerns regarding environmental impact, ethical governance, and equitable access, necessitating a comprehensive synthesis of existing evidence. Objectives: This review aims to evaluate AI applications that improve sustainability and health outcomes, compare AI-based green laboratory practices against SDG 3, identify integration challenges, compare resource optimization strategies, and analyze interdisciplinary collaboration frameworks. Methods: A systematic analysis of 50 global studies using diverse AI methodologies, including machine learning, deep learning, IoT, and green computing was conducted, with a focus on empirical and conceptual evidence from clinical and research laboratories. Results: Findings reveal that AI significantly improves laboratory efficiency, diagnostic accuracy, and resource management, achieving measurable reductions in energy, water, and waste while advancing personalized healthcare. However, the environmental costs of AI, ethical issues such as algorithmic bias and equitable access, and limited scalability in low-resource settings remain critical challenges. Multisectoral collaboration and governance frameworks are crucial but underdeveloped for the responsible deployment of AI in green laboratories. Conclusion: Integrating AI innovation with sustainability goals requires balancing technological advancements with ethical and environmental imperatives. These insights inform a theoretical framework and practical strategies for optimizing AI integration in sustainable laboratory environments, supporting global health and well-being goals within defined temporal and geographic research boundaries.
Developing English for Specific Purposes (ESP) for sustainable laboratory communication: A conceptual framework for tropical higher education Reza Anggriyashati Adara; Alma B. Manera; Ting Su Hie; Dila Novita
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.44568

Abstract

Background: Effective communication of scientific research requires both discipline-specific knowledge and specialized English language skills to articulate, discuss, and disseminate research findings—particularly within environmentally responsible laboratory settings. In tropical higher education, however, the integration of English for Specific Purposes (ESP) with sustainability-oriented laboratory communication remains underdeveloped and fragmented. Objectives: Grounded in the academic and research context of Universitas Muhammadiyah Indonesia, this study aims to develop a novel conceptual framework—the Integrative ESP-Sustainability Laboratory Communication Model (IES-LCM)—that embeds sustainability competence into discipline-specific language instruction for science students in tropical higher education. Methods: This study employs a non-empirical, conceptual research design using a theory development approach. Data sources comprised peer-reviewed literature and policy frameworks from Web of Science, Scopus, ERIC, and Google Scholar, bounded by relevance to ESP, scientific communication, and United Nations Sustainable Development Goal 4 (Quality Education, specifically Target 4.7). The retrieval corpus was analyzed through a structured four-stage qualitative process: database screening, thematic categorization, conceptual construal, and relational synthesis to establish operational linkages among the constructs. Results: The resulting model integrates three operational pillars: (1) ESP language competence as a social construct for sustainability, (2) interdisciplinary teacher capacity building, and (3) context-specific instructional modules tailored for tropical laboratory environments. The framework operationalizes scientific writing, technical environmental terminology, and peer discourse to communicate green laboratory practices, directly bridging localized socio-ecological challenges in the Global South with international scientific discourse. Conclusion: The proposed model offers theoretical and practical guidance for educators and curriculum developers seeking to embed sustainability into ESP instruction. By positioning language competence as a central pedagogical bridge for scientific communication and sustainability ethics, this framework provides a structured pathway to advance sustainable education in tropical higher education institutions.
Temporal analysis mangrove degradation and mangrove restoration based on culture and community in Papua Island, Indonesia Muhammad Habi Bulloh; Naia Naura Risanti; Hatta Hidayatulloh; Ludwick Satria Romadoni; Jerobiam Hamalua
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45194

Abstract

Background: Papua’s mangroves face severe anthropogenic pressures. While remote sensing provides planetary-scale data, a critical gap persists in contextualizing spatial models within localized indigenous socio-cultural realities. Objectives: This study investigates the spatiotemporal dynamics of mangrove deforestation and restoration across Papua (2001–2024) to quantify ecological trajectories, identify structural breakpoints, and evaluate community-driven conservation efficacy. Methods: Operating within a digital laboratory environment, Google Earth Engine (GEE) was utilized for spatial data extraction. Subsequently, segmented time-series modeling (Pettitt’s and Mann-Kendall tests) was executed in R to evaluate long-term ecological shifts. Results: Central and West Papua accounted for 68.8% of the 10,704.59 hectares lost. A 2011 structural breakpoint delineated rapid degradation escalation (2001–2016) at +34.11 ha/year (p<0.01). Conversely, the post-2017 phase demonstrated a robust recovery, decelerating degradation by 146.97 ha/year (p<0.01). This reversal strongly correlates with revitalized indigenous interventions, notably the customary Sasi institution. Conclusion: Integrating digital geospatial governance with local ecological knowledge effectively reverses severe environmental degradation. Legally codifying customary practices and utilizing remote sensing to strictly support indigenous conservation is imperative for advancing the Sustainable Development Goals (SDGs 13, 14, and 15).
Multi-target exploration and in silico molecular interaction analysis of imperatorin from bael fruit (Aegle marmelos) against EGFR, ESR1, and GSK3B Citra Lesmana; Nina Dwi Yulia; Ludwick Satria Romadoni; Mochamad Iffan; Muhammad Rifky Ardiansyah; Alanisya Octania Ramadhani
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45728

Abstract

Background: Cancer remains a major health burden. Aegle marmelos contains imperatorin, a furanocoumarin with broad pharmacological activity, but its specific oncogenic targets and polypharmacological mechanism remain largely unexplored. Methods: We predicted candidate targets using SwissTargetPrediction, built a protein-protein interaction network in STRING, and analyzed its topology in Cytoscape to identify hub proteins. We then ran reverse molecular docking in Webina, visualized the complexes in 3D using ChimeraX, and evaluated the ADME-Tox profile with SwissADME and ProTox 3.0. Results: Network analysis identified ESR1, GSK3B, and EGFR as the main hub targets. Docking showed stable binding affinities of -8.384 kcal/mol for ESR1, -7.932 kcal/mol for GSK3B, and -7.504 kcal/mol for EGFR, with interactions at essential catalytic residues. Imperatorin satisfied Lipinski's Rule of Five, showed high gastrointestinal absorption, and crossed the blood-brain barrier. ProTox 3.0 predicted an LD50 of 480 mg/kg (Class 4), with active signals for immunotoxicity and mutagenicity. Conclusion: Imperatorin from bael fruit (Aegle marmelos) forms stable multi-target interactions with ESR1, GSK3B, and EGFR with favorable drug-likeness, though functional validation in cellular models is still needed to confirm whether these interactions are activating or inhibitory.
Integrating environmental economic instruments and Airborne Laser Scanning precision within Indonesia’s carbon trading MRV framework Ludwick Satria Romadoni; Erdhi Setya Prayudha; K. Kuatman; Andina Novia Dewi Safira; Risa Rahma Rifada; Aisyah Mega Oktavia
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45808

Abstract

Background: Indonesia’s recent carbon policy shifts, particularly the establishment of the Carbon Unit Registry System (SRUK), demand high-precision measurement, reporting, and verification (MRV). However, current environmental regulations remain silent on explicitly recognized geospatial methods, creating a methodological gap in accurate carbon accounting. Objectives: This study aims to evaluate Airborne Laser Scanning (ALS) as a solution for Indonesia's MRV precision requirements by synthesizing its accuracy in tropical and mangrove ecosystems, and to assess the readiness of current regulations to adopt such remote-sensing standards. Methods: Using a structured narrative review based on the Scopus database and targeted searches, we synthesized 20 sources, comprising eight ALS biophysical studies and twelve primary Indonesian regulatory documents. Results: ALS consistently explains carbon density variability in upland tropical forests, though evidence for Indonesian mangroves remains limited to regionally uncalibrated cases. Crucially, the main barrier is not ALS's technical readiness, but the regulatory absence of an explicit remote-sensing MRV precision standard under the new SRUK framework. Conclusion: Technical standards for integrating ALS data must be explicitly developed by the SRUK authority. Furthermore, advancing mangrove-specific ALS calibration models is a critical next step for national carbon accounting.
Evaluation of concentration-stratified DNA dilution for PCR amplification from pooled mosquito extracts Moh. Mirza Nuryady; Ana Milosavljević; Hans-Peter Fuehrer
Green and Tropical Laboratory for Sustainability Vol. 3 No. 1 (2026): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/gtlabs.v3i1.45852

Abstract

Background: Reliable PCR amplification from pooled mosquito DNA extracts is frequently compromised by high template concentrations and co-purified inhibitors, contributing to workflow inefficiencies in vector surveillance programs. Objectives: This study aimed to develop and validate a practical concentration stratified decision-making workflow for optimizing DNA template preparation prior to PCR by evaluating the effect of serial dilution on amplification success across samples with varying initial DNA concentrations. Methods: DNA was extracted from 10 pooled mosquito samples in each tube, there are 47 samples, quantified by Qubit fluorometric, and classified into four concentration categories (low <20 ng/µL; moderate 20-49 ng/µL; high 50-80 ng/µL; very high >80 ng/µL). Serial dilutions (undiluted, 1:10, 1:100, 1:200) were evaluated by agarose gel electrophoresis using a standardized visual scoring system (0-4). Results: A successful PCR reaction is defined as the presence of a single 680-bp amplicon, as expected, on agarose gel electrophoresis. Undiluted samples had a PCR eligibility rate of only 5%. Very high concentration samples required a minimum 1:100 dilution to achieve 85% eligibility, whereas high-concentration samples achieved 94.7% eligibility from 1:10 onward. Conclusion: Concentration stratified serial dilution combined with Qubit and electrophoresis-based scoring substantially improves PCR outcomes for pooled mosquito DNA. It can be concluded that dilution was associated with improved detection of the expected PCR product, particularly among high and very high concentration extracts. A concentration stratified dilution strategy may be useful, but the proposed thresholds require validation in independent sample sets and laboratories.

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