Laboratory Experiments Research Articles

Influence of Construction Process on Aggregate Spalling Behavior on Ultrathin Waterborne Epoxy Resin Layer

The waterborne epoxy resin (WER) colored antiskid thin layer has been widely used in asphalt pavement to improve driving safety. The tectonic depth determines the antiskid performance of aparticle antiskid type thin layer. The spalling of aggregate from a thin layer may reduce the tectonic depth, thus damaging antiskid performance. The spreading process of aggregate on the WER binder surface plays an important role in the spalling behavior of the thin layer. Herein, the influence of spreading processes on the ceramic aggregate spalling behavior on the WER thin layer was investigated based on laboratory experiments. The abrasion and British Pendulum Number (BPN) tests were employed to evaluate the antispalling and antiskid properties of the WER thin layers with different amounts of WER mortar, coverage rates of first-spread aggregate, and spreading orders of coarse/fine aggregates. Moreover, the tectonic depths of the layers before/after the spalling test were also investigated. The results indicated that the optimal dosage of WER mortar is 2.8 kg/m2. The WER thin layer exhibited better anti-striping property when coarse ceramic aggregate was spread first. The first-spread coverage rate of the aggregate on the WER surface is 70%. The thin layer exhibited a superior antispalling performance according to the resulting scheme, with a spalling rate of 3.77%. The tectonic depth only decreased from 1.87 to 1.80 mm after the spalling test.

Human Interests and Animal Rights in Robert Lowell’s Sonnets

Abstract While Robert Lowell’s interest in animals is partly temperamental—he is fascinated by them—his awareness also seems to have intensified during the mid-1960s, in the decades just before the rise of the modern animal rights movement. Several of his sonnets from these years examine how people consistently misunderstand, are drawn to, and exploit other animals. These sonnets (on trapping mink and building nest boxes; on monkeys as pets and possibly in zoos and experiments; on rats in laboratory experiments; and on dairy cows) demonstrate how lyric can represent the vexed, ambivalent, blinkered feelings that shape our interactions with nonhumans.

Evaluation of Foxtail Millet Varieties for Thermotolerance at Seedling Stage using Temperature Induction Response Technique (TIR)

In the present scenario of climate change, Foxtail millet is the best crop of choice and an indispensable component of dryland farming due to its C4 plant type and tolerance against the abiotic stresses. However, all the foxtail millet varieties may not sustain under severe temperature stress particularly at germination and seedling growth stages. Therefore, screening of varieties is required to identify the stress tolerant varieties in foxtail millet which can combat temperature stress at seed germination and early seedling growth stages which is the need of the hour under ever changing climatic conditions. Hence, A lab experiment was conducted to standardize the temperature induction response (TIR) protocol for foxtail millet seedlings using WGC-450 programmable plant growth chamber. Temperatures were standardized as sub lethal i.e. challenging temperatures as 38°C – 54°C for 5 hours and lethal temperatures as 56°C for 3 hours. Seven foxtail millet varieties (Suryanandi, SiA 3156, Srilakshmi, SiA 3085, Narasimharaya, Krishnadevaraya and Prasad) were screened for intrinsic tolerance using the standardized Thermo Induced Response (TIR) protocol. Out of the seven varieties evaluated, SiA 3085, Prasad, Suryanandi, Srilakshmi were identified to possess high level of thermo tolerance in terms of higher seedling survival with less reduction in root and shoot growth. The varieties with intrinsic heat tolerance can be explored for the development of heat stress tolerant varieties.

Emotional bargaining after litigation: An experimental study of the Coase theorem

AbstractEntitlement assignment is unimportant if transaction cost is sufficiently low, as post‐litigation bargaining can redress allocative inefficiency, or so goes the Coase theorem. Ward Farnsworth, based on interviews with lawyers, argues that animosity created during litigation, a key mechanism to (re)allocate entitlement, will hinder the conclusion of any deal following litigation. Using a laboratory experiment, we test whether animosity generated before negotiations reduce the rate at which deals are successfully concluded and find evidence for a lower deal rate under one of the treatment conditions (the raw difference being three percentage points). The small practical effect may be attributed to rationality carrying the day and/or the limited degree of animosity we can generated in the lab with human subjects. The Coase theorem holds, while Farsworth's observation should not be ignored.

Carbon Mineralization in Fractured Mafic and Ultramafic Rocks: A Review

AbstractMineral carbon storage in mafic and ultramafic rock masses has the potential to be an effective and permanent mechanism to reduce anthropogenic CO2. Several successful pilot‐scale projects have been carried out in basaltic rock (e.g., CarbFix, Wallula), demonstrating the potential for rapid CO2 sequestration. However, these tests have been limited to the injection of small quantities of CO2. Thus, the longevity and feasibility of long‐term, large‐scale mineralization operations to store the levels of CO2 needed to address the present climate crisis is unknown. Moreover, CO2 mineralization in ultramafic rocks, which tend to be more reactive but less permeable, has not yet been quantified. In these systems, fractures are expected to play a crucial role in the flow and reaction of CO2 within the rock mass and will influence the CO2 storage potential of the system. Therefore, consideration of fractures is imperative to the prediction of CO2 mineralization at a specific storage site. In this review, we highlight key takeaways, successes, and shortcomings of CO2 mineralization pilot tests that have been completed and are currently underway. Laboratory experiments, directed toward understanding the complex geochemical and geomechanical reactions that occur during CO2 mineralization in fractures, are also discussed. Experimental studies and their applicability to field sites are limited in time and scale. Many modeling techniques can be applied to bridge these limitations. We highlight current modeling advances and their potential applications for predicting CO2 mineralization in mafic and ultramafic rocks.

Typical Case Studies and Classification with Evaluation of Carbon Dioxide Geological Sequestration in Saline Aquifers

To achieve carbon neutrality in China’s fossil energy sector, saline aquifer CO2 geological storage has become a critical strategy. As research into carbon reduction and storage potential evaluation advances across various geological scales, the need arises for consolidating key CO2 storage cases and establishing a standardized classification system and evaluation methodology. This paper provides a comprehensive review of notable CO2 storage projects in saline aquifers, covering aspects such as project overviews, structural and reservoir characteristics, caprock integrity, and seismic monitoring protocols. Drawing on insights from mineral and oil and gas exploration, as well as international methods, this paper outlines the stages and potential levels of saline aquifer storage in China. It proposes an evaluation framework with formulas and reference values for key coefficients. The study includes successful global projects, such as Sleipner and Snøhvit in Norway, In Salah in Algeria, and Shenhua in China’s Ordos Basin, which provide valuable insights for long-term carbon capture and storage (CCS). By examining geological characteristics, injection, and monitoring protocols in these projects, this paper analyzes how geological features impact CO2 storage outcomes. For example, the Sleipner project’s success is linked to its straightforward structure, favorable reservoir properties, and stable caprock, while Snøhvit illustrates diverse structural suitability, and In Salah demonstrates the influence of fractures on storage efficacy. CO2 storage activities are segmented into four stages—survey, investigation, exploration, and injection—and are further categorized by storage potential: geological, technical, techno-economic, and engineering capacities. This study also presents evaluation levels (prediction, control, technically recoverable, and engineering) that support effective reservoir selection, potential classification, and calculations considering factors like reservoir stability and sealing efficacy. Depending on application needs, volumetric or mechanistic methods are recommended, with precise determination of geological, displacement, and cost coefficients. For China, a dynamic evaluation mechanism characterized by multi-scale, tiered approaches and increasing precision over time is essential for robust storage potential assessment. The levels and methods outlined here serve as a scientific foundation for regional and stage-based comparisons, guiding engineering approvals and underground space management. To align with practical engineering demands, ongoing innovation through laboratory experiments, simulations, and field practice is crucial, supporting continual refinement of formulas and key parameter determinations.

Pan-cancer analysis of oncogenic role of CEP55 and experiment validation in clear cell renal cell carcinoma.

Immunotherapy has emerged as a vital component in the contemporary landscape of cancer treatment. Recent studies have indicated that CEP55 plays an oncogenic role; however, its specific mechanisms in promoting tumor proliferation and its potential value in prognosis and immunotherapy prediction across various cancers remain to be elucidated. CEP55 was significantly overexpressed in 22 cancer types compared with their adjacent normal tissues. Elevated CEP55 expression was positively correlated with younger onset age, worse tumor stage, lower response rate to the first treatment, lower tumor-free survival rate, and poorer overall survival (OS) and disease-free survival (DFS) prognosis in most cancers. Moreover, CEP55 expression was positively correlated with its binding and related genes, such as KIF11 (R = 0.83, P < 0.001), CDK1 (R = 0.77, P < 0.001) and CCNA2 (R = 0.76, P < 0.001), and the classic proliferation markers, including MKI67 and PCNA. Enrichment analyses indicated that CEP55 was predominantly associated with cell division, cell cycle activities and proliferation. Immune cell infiltration analysis by TIMER2.0 revealed that CEP55 expression was positively correlated with many kinds of infiltrating cells, such as Th2 cells and some CD4+ T cell subsets. The CEP55 expression was positively associated with increased MSI and TMB in various cancers. Our analyzation indicated that the CEP55 expression level in patients with complete remission (CR) or partial remission (PR) to anti-PDL1 therapy was significantly higher than patients with stable disease (SD) or progressive disease (PD) based on IMvigor210 cohort. We also used Gene Set Cancer Analysis (GSCA) to predict a serious of small molecule CEP55 targeted drugs, such as AZ628, SB52334, SB590885, A-770,041, AZD7762, Elesclomol, panobinostat, BRD-A94377914, and LRRK2-IN-1. Furthermore, the patients with high level of CEP55-posivie tumor epithelial cells had inferior overall survival in ccRCC according to single-cell analysis. Finally, our wet lab experiments verified that the CEP55-positive rate in ccRCC tissues (19/30, 63.3%) was significantly higher than that in renal adjacent tissues (10/30, 33.3%). The clinicopathologic analysis revealed that CEP55 protein level was significantly associated with tumor size (P = 0.044), histology grade (P < 0.001) and stage (P = 0.034). Our study indicated that CEP55 overexpression in most caner types was associated with poor prognosis. Notably, CEP55 was closely relevant to immune cell infiltration and impacted the response to immunotherapy and small molecule drugs against cancers.

Heterogenous Chemistry of I2O3 as a Critical Step in Iodine Cycling.

Global iodine emissions have been increasing rapidly in recent decades, further influencing the Earth's climate and human health. However, our incomplete understanding of the iodine chemical cycle, especially the fate of higher iodine oxides, introduces substantial uncertainties into atmospheric modeling. I2O3 was previously deemed a "dead end" in iodine chemistry; however, we provide atomic-level evidence that I2O3 can undergo rapid air-water or air-ice interfacial reactions within several picoseconds; these reactions are facilitated by prevalent chemicals on seawater such as amines and halide ions, to produce photolabile reactive iodine species such as HOI and IX (X = I, Br, and Cl). The heterogeneous chemistry of I2O3 leads to the rapid formation of iodate ions (IO3-), which is the predominant soluble iodine and its concentration cannot be well explained by current chemistry. These new loss pathways for atmospheric I2O3 can further explain its absence in field observations and its presence in laboratory experiments; furthermore, these pathways represent a heterogeneous recycling mechanism that can activate the release of reactive iodine from oceans, polar ice/snowpack, or aerosols. Rapid reactive adsorption of I2O3 can also promote the growth of marine aerosols. These findings provide novel insights into iodine geochemical cycling.

Mechanical properties of high-volume fly ash concrete with varying fly ash content

Fly ash is widely used as a replacement for cement to produce more environmentally friendly concrete with reliable performance in construction applications. Therefore, this research aimed to analyze the mechanical properties of high-volume fly ash concrete (HVFAC) using class F fly ash with different percentages. Performance tests that were carried out included workability, unit weight, and compressive strength. Laboratory experiments were conducted by making 5 variations of mix design, namely variation 1 (FA0), which consisted of normal concrete with a control test material of 100% Portland cement. The other 4 variations were HVFAC (FA70, FA80, FA90, and FA100), which were made with fly ash content comprising 70%, 80%, 90%, and 100% of the total binders/cementitious. Fresh concrete was tested for workability, while hardened concrete was tested for unit weight and compressive strength at ages 3, 7, and 28 days on test specimens subjected to water immersion curing. The results showed that all workability of HVFAC test specimens met the self-consolidated concrete (SCC) category. The dry unit weight of all specimens met the requirements for normal-weight concrete. The results of the compressive strength test at 28 days showed that the addition of fly ash percentage caused a decrease in the compressive strength value of the entire HVFAC, but still exceeded the minimum requirements for high-quality concrete. HVFAC with variations FA70, FA80, and FA90 met the requirements of ASTM C618-12a based on the evaluation of Strength Activity Index (SAI) values at 7 and 28 days of age, while FA100 did not meet the requirements.

Understanding the Impact of Soil Characteristics and Field Management Strategies on the Degradation of a Sprayable, Biodegradable Polymeric Mulch

The use of non-degradable plastic mulch has become an essential agricultural practice for increasing crop yields, but continued use has led to contamination problems and in some cropping areas decreases in agricultural productivity. The subsequent emergence of biodegradable plastic mulches is a technological solution to these issues, so it is important to understand how different soil characteristics and field management strategies will affect the rate at which these new materials degrade in nature. In this work, a series of lab-scale hydrolytic degradation experiments were conducted to determine how different soil characteristics (type, pH, microbial community composition, and particle size) affected the degradation rate of a sprayable polyester–urethane–urea (PEUU) developed as a biodegradable mulch. The laboratory experiments were coupled with long-term, outdoor, soil degradation studies, carried out in Clayton, Victoria, to build a picture of important factors that can control the rate of PEUU degradation. It was found that temperature and acidity were the most important factors, with increasing temperature and decreasing pH leading to faster degradation. Other important factors affecting the rate of degradation were the composition of the soil microbial community, the mass loading of PEUU on soil, and the degree to which the PEUU was in contact with the soil.

Gibbs states and Brownian models for coexisting haze and cloud droplets.

Cloud microphysics studies include how tiny cloud droplets grow and become rain. This is crucial for understanding cloud properties like size, life span, and impact on climate through radiative effects. Small weak-updraft clouds near the haze-to-cloud transition are especially difficult to measure and understand. They are abundant but hard to capture by satellites. Köhler's theory explains initial droplet growth but struggles with large particle groups. Here, we present a stochastic, analytical framework building on Köhler's theory to account for (monodisperse) aerosols and cloud droplet interaction through competitive growth in a limited water vapor field. These interactions are modeled by sink terms, while fluctuations in supersaturation affecting droplet growth are modeled by nonlinear white noise terms. Our results identify hysteresis mechanisms in the droplet activation and deactivation processes. Our approach allows for multimodal cloud's droplet size distributions supported by laboratory experiments, offering a different perspective on haze-to-cloud transition and small cloud formation.

The Effect of Virtual Laboratories on the Academic Achievement of Undergraduate Chemistry Students: Quasi-Experimental Study.

Experimentation is crucial in chemistry education as it links practical experience with theoretical concepts. However, practical chemistry courses typically rely on real laboratory experiments and often face challenges such as limited resources, equipment shortages, and logistical constraints in university settings. To address these challenges, computer-based laboratories have been introduced as a potential solution, offering electronic simulations that replicate real laboratory experiences. This study examines the effect of virtual laboratories on the academic achievement of undergraduate chemistry students and evaluates their potential as a viable alternative or complement to traditional laboratory-based instruction. A quasi-experimental design was implemented to examine the cause-and-effect relationship between instructional methods and student outcomes. The study involved 60 fourth-year BSc chemistry students from Dilla University, divided into 3 groups: a real laboratory group (n=20), which performed real laboratory experiments; a virtual group (n=20), which used virtual laboratory simulations; and a lecture group (n=20), which received lecture-based instruction. Quantitative data were collected through tests administered before and after the intervention to assess academic performance. The data analysis used descriptive and inferential statistics, such as means and SDs, 1-way ANOVA, the Tukey honestly significant difference test, and independent-sample t tests (2-tailed), with a P value of .05 set for determining statistical significance. Before the intervention, the results indicated no significant differences in academic achievement among the 3 groups (P=.99). However, after the intervention, notable differences were observed in student performance across the methods. The real laboratory group had the highest mean posttest score (mean 62.6, SD 10.7), followed by the virtual laboratory group (mean 55.5, SD 6.8) and the lecture-only group, which had the lowest mean score (mean 43.7, SD 11.5). ANOVA results confirmed significant differences between the groups (F2,57=18.429; P<.001). The Tukey post hoc test further revealed that the real laboratory group significantly outperformed the lecture-only group (mean difference 18.88; P<.001), while the virtual laboratory group also performed significantly better than the lecture-only group (mean difference 11.7; P=.001). However, no statistically significant difference was found between the real laboratory and virtual laboratory groups (mean difference 7.12; P=.07). In addition, gender did not significantly influence performance in the virtual laboratory group (P=.21), with no substantial difference in posttest scores between male and female students. These findings suggest that computer-based laboratories are a viable and effective alternative when real laboratories are unavailable, enhancing learning outcomes when compared with traditional lecture-based methods. Therefore, universities should consider integrating computer-based laboratories into their practical chemistry curricula to provide students with interactive and engaging learning experiences, especially when physical laboratories are inaccessible.

ANALISIS KANDUNGAN SULFUR, NITROGEN, DAN KLORIN DALAM BIOPELLET BERBASIS LIMBAH PADAT KAYU PUTIH DAN GONDORUKEM

In recent years, a transition towards renewable energy sources has begun to reduce fossil energy usage. One alternative renewable energy source is biopellets, which have gained public interest as an environmentally friendly fuel. Biopellets are a type of renewable energy derived from biomass, which, if it emits too much carbon, can lead to pollution. Carbon emissions are also related to combustion efficiency, as complete combustion can help reduce carbon emissions. This study aims to determine combustion emissions and combustion efficiency of biopellets made from eucalyptus solid waste with the addition of rosin to optimize the use of raw materials as renewable energy. The study employs an experimental laboratory approach with a factorial design to test the impact of sulfur, chlorine, and nitrogen content on the combustion efficiency of biopellets made from eucalyptus waste and rosin. Results indicate that the sulfur and chlorine content remain above the French standard (ITEBE), at 0.31% and 1.12%, respectively, while nitrogen content is below the standard at 0.48%. The resulting combustion efficiency ranges between 9.569% and 9.701%.

Understanding the determinants of consumer grocery stockpiling behavior

AbstractGrocery stockpiling is a common behavioral response to the emergence of disasters or heightened uncertainty. Nonetheless, the phenomenon and methods for mitigating it are not well understood. Using a model of household shopping and inventory management, we conceptualize stockpiling as a result of an increase in the fixed cost of making grocery shopping trips, or the opportunity cost of time associated with shopping. In a laboratory experiment, we find that stockpiling increases (decreases) by 78 and 41% (22%) with an increase in fixed costs and price reductions (imposition of purchase limits), respectively. We also find that stockpiling leads to fewer (more) grocery trips by 33 and 22% (36%) under the same three conditions, respectively. Our experiment and subsequent cluster analysis suggest that loss aversion suppresses stockpiling. Our experiment shows that imposing purchase limits, a common retail response to stock‐outs, can trigger stockpiling during shopping trips without purchase limits. Although we do not claim external validity, our study suggests that store managers and policymakers should be careful about solutions during a stockpiling event, such that they do not exacerbate stockpiling, which may disproportionately affect vulnerable groups and disrupt supply chains.

Shortcuts to insincerity: Texting abbreviations seem insincere and not worth answering.

As social interactions increasingly move to digital platforms, communicators confront new factors that enhance or diminish virtual interactions. Texting abbreviations, for instance, are now pervasive in digital communication-but do they enhance or diminish interactions? The present study examines the influence of texting abbreviation usage on interpersonal perceptions. We explore how texting abbreviations affect perceived sender sincerity and the subsequent likelihood that recipients respond. Eight preregistered studies (N = 5,306) using mixed methods (e.g., surveys, field and lab experiments, and archival analysis of Tinder conversations) find that abbreviations make senders seem less sincere and recipients less likely to write back. These negative effects arise because abbreviations signal a lower level of effort from the sender. Communicator familiarity and text exchange length do not attenuate these effects, providing evidence for a robust phenomenon. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Application of Reverse Vaccinology and Immunoinformatics to Design a Multitope Vaccine against Gastrointestinal Cancer-inducing Cryptosporidium Parvum

Cryptosporidium parvum (C. parvum) is an apicomplexan protozoan known as a frequent cause of diarrhea. Because of its severe outbreaks and the association with different types of gastrointestinal cancers, it became an urgent need to develop effective solutions against that parasite. In the current study, the complete proteome of C. parvum was analyzed, and after applying several filtration steps, two proteins, namely Glycoprotein 60 (gp40/15) and thrombospondin-related adhesive protein (TRAP C-1), were selected as the protein candidates for epitope prediction. Next, CTL, HTL and BCL epitopes of each protein candidate were defined, and the best epitopes of each category were assembled alongside suitable linkers and adjuvants to initiate a potential multitope vaccine construct finally. That construct was evaluated for several properties, including its antigenicity, allergenicity, stability, secondary and tertiary structure, and the ability of that 3D predicted model to bind to TLR4. Furthermore, the stability of the constructed vaccine ligand in the TLR4 receptor was deeply investigated through a molecular dynamics simulation. The current study describes the stages of the multitope construct design. It demonstrates the results of that construct computational evaluation where the generated scores support the nomination of that potential vaccine as a solution for C. parvum infection, and further wet lab experiments are required to validate our current findings.

Machine learning-based methods for piecewise digital predistortion in mmW 5G NR systems

AbstractPiecewise linearization techniques require dividing the signal into multiple pieces each linearized individually. Machine learning (ML) is one of the useful tools to perform the automatic division of these pieces. Complexity reduction in the classification of piecewise digital predistortion is possible through carefully constructing features from both the signal statistics and the power amplifier (PA) characteristics. Our paper introduces two low-complex classical ML-based methods that facilitate the classification of baseband input data into distinct segments. These methods effectively linearize PA behavior by employing tailored Volterra models corresponding to each segment. Moreover, we perform an in-depth analysis of the proposed schemes to further optimize their classification and regression complexities. The two proposed low-complexity approaches are validated by laboratory experiments and show up to 4 dB error vector magnitude (EVM) improvement over the conventional approach for a class A PA at 28 GHz. Similarly, the EVM improvement is up to 2 dB over the vector-switched general memory polynomial scheme. With only one indirect learning architecture iteration, the two proposed schemes obey the 5G new radio standard up to 6.5 dB and 7 dB output backoff, respectively.

Enhancing time-resolution for radon measurements using airflow-through scintillation cells based on a compartmental model approach.

To overcome the time-resolution limitation inherent in the airflow-through scintillation cell method for radon measurement, this study introduces a compartmental model elucidating the behaviors of radon and its progeny within such cells. The computed results of the normalized equilibrium functions derived from the compartmental model, provide quantitative insights into the equilibrium progression of 222Rn and its progeny over time, substantiating the identified time-resolution limitation of 2-3hours. Laboratory experiments confirm the efficacy of the proposed correction algorithm, showcasing its ability to surmount the time-resolution limitation and achieve a rapid response in radon measurement using airflow-through scintillation cells.

Adaptive memory reservation strategy for heavy workloads in the Spark environment

The rise of the Internet of Things (IoT) and Industry 2.0 has spurred a growing need for extensive data computing, and Spark emerged as a promising Big Data platform, attributed to its distributed in-memory computing capabilities. However, practical heavy workloads often lead to memory bottleneck issues in the Spark platform. This results in resilient distributed datasets (RDD) eviction and, in extreme cases, violent memory contentions, causing a significant degradation in Spark computational efficiency. To tackle this issue, we propose an adaptive memory reservation (AMR) strategy in this article, specifically designed for heavy workloads in the Spark environment. Specifically, we model optimal task parallelism by minimizing the disparity between the number of tasks completed without blocking and the number completed in regular rounds. Optimal memory for task parallelism is determined to establish an efficient execution memory space for computational parallelism. Subsequently, through adaptive execution memory reservation and dynamic adjustments, such as compression or expansion based on task progress, the strategy ensures dynamic task parallelism in the Spark parallel computing process. Considering the cost of RDD cache location and real-time memory space usage, we select suitable storage locations for different RDD types to alleviate execution memory pressure. Finally, we conduct extensive laboratory experiments to validate the effectiveness of AMR. Results indicate that, compared to existing memory management solutions, AMR reduces the execution time by approximately 46.8%.

Evaluation of Fumigant Toxicity of Eucalyptus globulus Essential oil (Family: Myrtaceae) against the Mechanical Vector, American Cockroach, Periplaneta Americana (Linnaeus, 1758) (Blattodea: Blattidae)

The American cockroach, Periplaneta americana (Linnaeus, 1758), one of the largest and most resilient cockroach species, possess significant threats to public health and food safety due to its ability to transmit diseases and contaminate food. The widespread application of chemical pesticides to control cockroach infestations raises significant public health concerns due to its residual toxicity. The continued use of insecticides results in resistance development in cockroach populations which demands alternative pest management strategies wherein the chemical insecticides were completely restricted in human dwelling areas such as apartments, hospitals, restaurants and food preparation areas. The plant’s diverse profile of bioactive compounds and secondary metabolites, coupled with its complex nature, renders it a promising natural resource for the development of safe alternative against cockroach management. The median lethal dosage LD50 of E. globulus essential oil was found to be 16.74784 µL against the male American Cockroach, P. americana analysed using probit analysis. The present study was conducted to evaluate the fumigant toxicity of eucalyptus essential oil (Eucalyptus globulus) against the male American Cockroach, Periplaneta americana in a laboratory experiment. Five different doses of E. globulus essential oil 5, 10, 20, 30, 40 and 50 µL against male American Cockroach, P. americana were evaluated and compared to the untreated control (negative control). Results, indicated a dose dependent response with 100 per cent mortality achieved at 50 µL of eucalyptus essential oil followed by 40 (80%), 30 (60%), 20 (46.67%) and 5 (26.67) µL. The Eucalyptus globulus essential oil can be used as a potent fumigant against the male American Cockroach, P. americana which is an ecofriendly management of cockroach infestation.