Chemical Safety Research Articles

Cірководень: механізм токсичної дії, клінічні прояви гострого отруєння, патогістологічні ознаки та стратегія лікування

Hydrogen sulphide (H2S) is a highly toxic gas. Among this group of poisonous substances – causes of death – it is second only to carbon monoxide. The mechanism of its toxicity has not been sufficiently studied and there is currently no specific antidote therapy. This gas is a high-priority chemical threat in industry, as well as a potential terrorist weapon of mass destruction, especially in wartime. Aim. Based on literary data and own researches, to summarize the current concepts of its toxicity mechanisms, clinical manifestations, treatment strategies and pathohistological signs of acute hydrogen sulphide poisoning. Materials and Мethods. Open sources of public information and scientific literature on the research topic were analysed. An analytical review of the publications of scientific online libraries PubMed, Medline, Elsevier was carried out. A retrospective analysis of the medical documentation of two cases with acute poisoning with H2S in combination with other toxic gases was carried out. The first case of acute poisoning with H2S and other sewage gases is in a patient who died in the conditions of a medical institution in the Kyiv region, who fell ill after a 15-minute stay in a household sewage septic tank. In the victim, the data of sectional and microscopic studies of lung tissue were also studied. The second case of acute H2S poisoning in combination with other gases of putrefaction is represented by three victims hospitalized at the clinic of the Research Centre of Preventive Toxicology, Food and Chemical Safety named after L.I. Medved, Ministry of Healthcare of Ukraine after cleaning a deep tank with the remains of rotten sauerkraut. One of the victims died after 6 hours. The methods of system comparative and content analysis were applied. Results. Modern ideas about the mechanism of the toxic effect of H2S indicate that it is a rapidly metabolizing systemic toxicant that affects mitochondria, is the basis for the formation of tissue hypoxia, activation of oxidative stress, inflammatory reactions, and apoptosis. Under the acute effects of H2S, the main target organs are the nervous, bronchopulmonary and cardiovascular systems. Until now, there are no specific antidotes for the treatment of H2S poisoning, so it includes oxygen, symptomatic and supportive therapy. New therapeutic agents – potential antidotes are at the stage of preclinical research, most of which are aimed at binding H2S. There is an urgent need for the development of new therapeutic agents – absorbents (scavengers) of H2S for the prevention and treatment of poisoning, reducing morbidity and mortality. Keywords: hydrogen sulphide, toxicity, acute poisoning, treatment, pathohistological signs.

Enhanced Near‐Infrared Amplified Spontaneous Emission and Stability Improvement of Air‐Processed Pure Black‐Phase Formamidinium Lead Iodide Perovskite Films

AbstractFormamidine lead halide perovskite material is regarded as a competitive candidate for light amplification and lasers due to its ideal bandgap range and excellent optical properties. The formamidinium perovskites undergo a cubic‐to‐hexagonal transition in humid conditions, leading to the formation of yellow δ‐phase FAPbI3, which degrades laser device performance and stability. To address this, we propose using methylamine formate (MAFa) as an ionic liquid solvent for stable black‐phase α‐FAPbI3 perovskite films. Compared to traditional N, N‐dimethylformamide (DMF) solvent (FAPI‐DMF), FAPI‐MF films show improved ASE performance with lower threshold and higher gain under nanosecond laser excitation. Temperature‐dependent photoluminescence (PL) and transient absorption (TA) spectra reveal higher exciton binding energy (72.9 meV) and longer optical gain lifetime for FAPI‐MF films, attributed to the vertical arrangement of lead iodide in nano‐sized ion channels that promote α‐FAPbI3 formation. The FAPI‐MF films also exhibit excellent photostability, thermal stability, and resistance to humidity, ensuring continuous laser and long‐term stability. This work extends the perovskite family’s spectral range from visible to near‐infrared light, offering a color‐tunable emitter with broad applications, including chemical analysis, biomedical research, and food safety testing.

Editorial: Emerging topics on chemical safety assessment

Editorial: Emerging topics on chemical safety assessment

Addressing the Importance of STEM to Public Science Communication in Engineering Formation: An Intervention Analysis for an Upper-level Chemical Engineering Health and Safety Course

Addressing the Importance of STEM to Public Science Communication in Engineering Formation: An Intervention Analysis for an Upper-level Chemical Engineering Health and Safety Course

Quantitative read-across structure-property relationship (q-RASPR): a novel approach to estimate the bioaccumulative potential for diverse classes of industrial chemicals in aquatic organisms.

The Bioconcentration Factor (BCF) is used to evaluate the bioaccumulation potential of chemical substances in reference organisms, and it directly correlates with ecotoxicity. Traditional in vivo BCF estimation methods are costly, time-consuming, and involve animal sacrifice. Many in silico technologies are used to avoid the problems associated with in vivo testing. This study aims to develop a quantitative read across structure-property relationship (q-RASPR) model using a structurally diverse dataset consisting of 1303 compounds by combining quantitative structure-property relationship (QSPR) and read-across (RA) algorithms. The model incorporates simple, interpretable, and reproducible 2D molecular descriptors along with RASAR descriptors. The PLS-based q-RASPR model demonstrated robust performance with internal validation metrics (R2 = 0.727 and Q2(LOO) = 0.723) and external validation metrics (Q2F1 = 0.739, Q2F2 = 0.739, and CCC = 0.858). These results indicate that the q-RASPR model is statistically superior to the corresponding QSPR model. Furthermore, screening of 1694 compounds from the Pesticide Properties Database (PPDB) was performed using the PLS-based q-RASPR model for assessing the eco-toxicological bioaccumulative potential of various compounds, ensuring the external predictability of the developed model and confirming the real-world application of the developed model. This model offers a reliable tool for predicting the BCF of new or untested compounds, thereby helping to develop safe and environment-friendly chemicals.

Evaluation of volatile safety in children's play mats based on non-targeted screening and risk prioritization.

Given the widespread use of play mats and their close contact with children, it is crucial to identify potential chemical hazards associated with these products. In this study, 34 play mats, comprising four materials (3 EPE, 15 XPE, 5 PVC, 11 EVA), were subjected to non-targeted screening based on headspace gas chromatography-Orbitrap high-resolution mass spectrometry (HS-GC-Orbitrap HRMS), which screened out 71 volatile substances. The 20 significantly different substances were recognized by partial least squares discriminant analysis (PLS-DA), while the characteristic substances in each type of play mat were determined through clustering heat map and Venn diagram. To facilitate the rapid identification of high-risk substances, a risk scoring scheme was developed, taking into account detection rates, average peak areas, and substance hazardousness. The substances were then ranked based on their total risk scores. The distribution of peak areas for the top 14 high-risk substances, including α-methylstyrene, formamide, and toluene, in products was detailed, highlighting the need for further attention to these chemicals. Overall, the study found the volatile chemical safety of the four play mat types to be in the order of EPE > XPE > PVC > EVA. The differentiation analysis and risk scoring scheme proposed in this paper provide significant insights for the efficient regulation and quality improvement of play mats and other products.

ANALYSES AND DETERMINATION OF THE CHEMICAL COMPOSITIONS OF MOSQUITO REPELLANTS SOLD IN IMO STATE, NIGERIA – INDICATING THEIR LEVELS OF ECO-FRIENDLINESS AND TOXICITY

A lot of persons make use of mosquito repellants in order to be free of mosquito bites irrespective of the aftereffects of these repellants. More serious illnesses other than those infected by mosquitoes seem to arise from some of these repellants. In this research, the chemical composition and safety profile of various chemically synthesized mosquito repellants commonly used in Imo State, Nigeria were carried out. X-ray fluorescence was done to find out the elements present in each. GC-MS analyses were carried out to identify the organic compounds while the ADMET (toxicity) test was followed to evaluate the level of toxicity in each repellant. From the GC-MS analyses, it was deduced that six of the ten types of repellants analyzed contain a non-friendly compound generally known as DEET (Diethyltoluamide). These are medi soft cream with 3.567% of DEET, gardia cream = 22.544%, fly killing bait powder = 7.602%, Rambo coil = 2.822%, reptogel cream = 7.972% and super kill coil = 0.094% all by mass. X-ray done indicated the presence of lead, a harmful element though found at a low concentration in medi soft cream, super kill coil, Swan Green coil, Rambo paper, Rambo coil, odomos cream and fly killing bait powder. Sulphur too detected in Rambo powder, Rambo coil and reptogel cream seems not threatening. Considering the ADMET test, it reveals that most of these repellant are not safe especially when applied for long as each of their prediction toxicity does not correspond to a manageable extent to the DrugBank% database. Odomos cream with no DEET and no elemental sulphur may be less toxic as its toxicity prediction tallies more with the DrugBank% data base. This research therefore recommends that the use of chemical mosquito repellants be discouraged till the producers get back to the drawing board. Natural repellants could be resorted to.

Comprehensive benchmarking of computational tools for predicting toxicokinetic and physicochemical properties of chemicals

Ensuring the safety of chemicals for environmental and human health involves assessing physicochemical (PC) and toxicokinetic (TK) properties, which are crucial for absorption, distribution, metabolism, excretion, and toxicity (ADMET). Computational methods play a vital role in predicting these properties, given the current trends in reducing experimental approaches, especially those that involve animal experimentation. In the present manuscript, twelve software tools implementing Quantitative Structure–Activity Relationship (QSAR) models were selected for the prediction of 17 relevant PC and TK properties. A total of 41 validation datasets were collected from the literature, curated and used for assessing the models’ external predictivity, emphasizing the performance of the models inside the applicability domain. Overall, the results confirmed the adequate predictive performance of the majority of the selected tools, with models for PC properties (R2 average = 0.717) generally outperforming those for TK properties (R2 average = 0.639 for regression, average balanced accuracy = 0.780 for classification). Notably, several of the tools evaluated exhibited good predictivity across different properties and were identified as recurring optimal choices. Moreover, a systematic analysis of the chemical space covered by the external validation datasets confirmed the validity of the collected results for relevant chemical categories (e.g., drugs and industrial chemicals), further increasing the confidence in the overall evaluation. The best performing models were ultimately suggested for each investigated property and proposed as robust computational tools for high-throughput assessment of highly relevant chemical properties.Scientific contributionThe present manuscript provides an overview of the state-of-the-art available computational tools for predicting the PC and TK properties of chemicals. The results here offer valuable guidance to researchers, regulatory authorities, and the industry in identifying robust computational tools suitable for predicting relevant chemical properties in the context of chemical design, toxicity and environmental fate assessment.

Recent Progress in Treatment of Pulmonary Fibrosis

Idiopathic pulmonary fibrosis (IPF) is the most common fatal interstitial lung disease.There is no known cause. Its pathogenesis is still unclear, which increases the difficulty of anti-fibrosis drug development. Only two drugs, pirfenidone and Nidanib, are approved for the treatment of IPF, and pharmacological treatments for IPF remain urgently needed.At present, researchers are still working on new drugs to treat idiopathic pulmonary fibrosis.There is an urgent need for drugs to combat pulmonary fibrosis, so researchers are constantly working on new drugs to combat it. This review describes current potential drugs for the treatment of pulmonary fibrosis. The researchers conducted clinical trials to determine the safety and effectiveness of these drugs in patients with pulmonary fibrosis. However, before the trial of some marketed drugs for new indications, the data on adverse reactions, tolerability, physical and chemical parameters, pharmacokinetics and safety have been relatively complete, and researchers have studied the mechanism of action of old drugs, so as to use them for other diseases, the strategy is a useful complement to traditional drug development efforts, offering hope to old, dormant drugs and those on the verge of failure.

High‐speed continuous flow calorimetry in a nonadiabatic environment

AbstractMany rapid and strongly exothermic reactions have transitioned to continuous flow reactors for safety considerations. However, data from batch calorimeters often fall short in guiding these processes due to substantial differences in transfer characteristics, and the adiabatic components of calorimeters significantly escalate equipment costs and dimensions. Inspired by the human body's thermoregulatory mechanism, we developed the Dynamic Tracking Reference Continuous Calorimeter (DTRCC). This novel device enables rapid and precise calorimetry in continuous‐flow reactions under nonadiabatic conditions and variable external temperatures. The measurement time can be reduced to 110 s with a low difference of 0.5%. The DTRCC proves versatile across various reaction types, including nitrification and photoreaction. It can also determine solutions' heat capacity and reactions' selectivity according to calorimetry. Implementing the DTRCC provides crucial data that enhance the design and optimization of continuous flow reactors, significantly boosting chemical process safety and efficiency.

Prenatal exposure to endocrine disrupting chemicals and the association with behavioural difficulties in 7-year-old children in the SELMA study.

Endocrine disrupting chemicals (EDCs) can cross the placenta and thereby expose the fetus, which may lead to developmental consequences. It is still unclear which chemicals are of concern regarding neurodevelopment and specifically behaviour, when being exposed to a mixture. The objective is to determine associations between prenatal exposure to EDCs and behavioural difficulties. Furthermore, we investigated sex-specific associations and determined chemicals of concern in significant regressions. Associations between prenatal exposure to EDCs (both as single compounds and their mixtures) and behavioural outcomes using the Strengths and Difficulties Questionnaire (SDQ) were estimated in 607 mother-child pairs in the Swedish Environmental Longitudinal, Mother and Child, Asthma and Allergy (SELMA) study. Levels for chemical compounds were measured in either urine or serum (median of 10 weeks of gestation). Associations were estimated for the total SDQ score (quasipoisson regression) and a 90th percentile cut-off (logistic regression). Exposure for EDC mixtures (phenols, phthalates, PFAS and persistent chlorinated) was studied using weighted quantile sum (WQS) regression with deciles and with and without repeated holdout validation techniques. The models were adjusted for selected covariates. The odds for behavioural difficulties increased in girls with higher chemical exposures (OR 1.77, 95% CI 1.67, 1.87) using the full sample and borderline for the validation set (OR 1.31, 95% CI 0.93, 1.85) with 94/100 positive betas in the 100 repeated holdout validations. Chemicals of concern for girls are mostly short-lived chemicals and more specifically plasticizers. No pattern of significant associations was detected for boys. There is an indication of increased behavioural difficulties for girls in the SELMA population with higher exposure to mixtures of EDCs. Using the repeated holdout validation techniques, the inference is more stable, reproducible and generalisable. Prenatal exposure to mixtures of environmental chemicals should be considered when assessing the safety of chemicals. Growing evidence points towards a "mixture effect" where different environmental chemicals might act jointly where individual compounds may be below a level of concern, but the combination may have an effect on human health. We are constantly exposed to a complicated mixture pattern that is individual for every person as this mixture depends on personal choices of lifestyle, diet and housing to name a few. Our study suggests that prenatal exposure to EDCs might adversely affect the behaviour of children and especially girls. Hence, risk assessment needs to improve and sex-specific mechanisms should be included in assessments.

Advancing Chemical Safety, Climate Resilience, and Circularity in Construction Sector

Advancing Chemical Safety, Climate Resilience, and Circularity in Construction Sector

Development of hemp seed (Cannabis sativa L.) beverages: Roasting effects and safety

AbstractThe aims of this study were to formulate 2% and 3% (w/v) hemp seed beverages and to evaluate chemical composition, colloidal stability, safety, and sensory profiles after roasting the seeds (150 °C, 15 min). Beverages with 2% and 3% roasted hemp seeds evidenced acceptable sensory attributes and nutritious profile, containing 0.6–1% protein, 0.4–0.6% dietary fibre, and 0.5–0.8% lipids –mainly unsaturated fatty acids–, respectively. The roasting treatment significantly increased the phenolic content by 49–55% and the antioxidant capacity by 15%, and improved the sensory attributes of the beverages. Low peroxide levels (<1 meq O2/kg) in roasted hemp seed beverages were detected up to five days in cold storage, with better capacity against oxidation at 2% seed content. The use of 0.03% gellan gum improved the physical stability of suspensions contributing to their overall acceptability. Roasted hemp seed beverages showed no cannabinoid and tetrahydrocannabinol (THC) content. The advantages observed after roasting the seeds on phenolic content, antioxidant activity, sensorial acceptability and safety provided better attributes for the feasibility of beverages formulated with hemp seeds. The results showed a formulation suitable for the development of potential industrial roasted hemp seeds beverages with promising compositional profiles.

Proceedings of the 2024 Advancing Chemical Safety and Security Education Symposium at the 27th IUPAC International Conference on Chemistry Education

Proceedings of the 2024 Advancing Chemical Safety and Security Education Symposium at the 27th IUPAC International Conference on Chemistry Education

Botanical Pesticides: Role of Ricinus communis in Managing Bactrocera zonata (Tephritidae: Diptera).

The melon fruit fly, Bactrocera zonata (Coquillett) (Diptera: Tephritidae), is a notorious pest, posing a significant threat to a wide range of fruits and vegetables, leading to substantial agricultural losses worldwide. With growing concerns over chemical pesticide resistance and environmental safety, plant-based insecticides have emerged as eco-friendly and economically sustainable alternatives. In this context, the present study delves into the insecticidal potential of Ricinus communis extracts against B. zonata. The crude extract of R. communis was systematically fractionated using a series of organic solvents with increasing polarities. The fraction demonstrating the highest insecticidal activity was further purified for the isolation of bioactive compounds, employing advanced chromatographic techniques such as Column Chromatography, coupled with state-of-the-art analytical methods including Gas Chromatography-Mass Spectrometry (GC-MS) and Fourier Transform Infrared Spectroscopy (FTIR). Bioassays were conducted on B. zonata using the crude extract and its fractions in n-hexane, methanol, and ethyl acetate. Among the isolated compounds, 11,14,17-Eicosatrienoic acid was identified in both the methanol and ethyl acetate fractions. This compound exhibited remarkable insecticidal efficacy, with an LC50 value of 1.36%, a linearity of R2 = 0.64, and a statistically significant probability (p < 0.01). Particularly, 11,14,17-Eicosatrienoic acid emerged as the most potent bioactive agent against B. zonata highlighting its potential as a natural insecticide. These findings underscore the potential of R. communis as a valuable source of bioactive compounds for the sustainable management of B. cucurbitae. This study not only broadens the scope of plant-based pest control strategies but also opens avenues for further exploration of natural compounds in integrated pest management.

Neurotoxic effects of citronellol induced by the conversion of kynurenine to 3-hydroxykynurenine.

Citronellol is widely utilized in consumer products, including cosmetics, fragrances, and household items. However, despite being considered a relatively safe chemical, the health effects and toxicity mechanisms associated with exposure to high concentrations of citronellol, based on product content, remain inadequately understood. Here, we aimed to analyze the neurological effects of citronellol in zebrafish larvae using behavioral and histological analyses and elucidate the mechanisms underlying its neurotoxicity in vivo. Exposure to citronellol (2, 4 and 8 mg/L) in zebrafish larvae induced a range of neurotoxic effects, including locomotor impairments, anxiety-like behaviors, oxidative stress, an inflammatory response, and apoptosis in the brain. Additionally, citronellol exposure compromised the blood-brain barrier (BBB) integrity, permitting the infiltration of inflammatory cell into the brain. Neurotoxic effects were further sustained by increased kynurenine (KYN) metabolism to the neurotoxic metabolite 3-hydroxykynurenine (3-HK), accompanied by altered neurosteroid levels, including reduced progesterone and allopregnanolone, and elevated cortisol. Similar metabolic dysregulation was observed in mouse models following oral administration (345, 690 and 3450 mg/kg) and in human brain organoids exposed to citronellol (1, 10 and 100 μM), suggesting conserved mechanisms across species. Notably, experiments using zebrafish, mice and brain-chip systems confirmed that citronellol crosses the BBB and accumulates in the brain. Overall, we identified a novel neurotoxic pathway involving the KYN to 3-HK metabolic pathway, oxidative stress, and neuroinflammation, underscoring the potential risks of prolonged citronellol exposure.

Comprehensive Analysis of Chemical and Microbial Safety in Grilled Meat and Poultry from Baiji City Markets: A Focus on Red and White Varieties

Comprehensive Analysis of Chemical and Microbial Safety in Grilled Meat and Poultry from Baiji City Markets: A Focus on Red and White Varieties

Revealing Failure Mechanisms in Zinc-Manganese Dioxide Batteries Via Nondestructive Electrochemical Diagnostics

The world of long-term-high-density energy storage systems is dominated by the lithium-ion (Li-ion) battery. However, associated setbacks with the Li ion industry such as safety, geopolitical concerns, and rising costs have spearheaded research into investigating alternative approaches to the Li-ion batteries. A promising alternative to the Li-ion battery is the zinc manganese oxide (Zn||MnO2) battery due to its high energy density and much safer chemistry. However, a step towards commercialization of the Zn||MnO2 requires a deep dive into the failure mechanisms native to such cells. These failure mechanisms are identified as electrolyte degradation, increased cell impedance, loss of Zn inventory, and loss of cathode inventory.Conventionally, techniques employed in identifying failure mechanisms are destructive and time consuming. Thus, there is the need to investigate reliable nondestructive techniques which can predict failure mechanism in Zn|MnO2 cells. In this research an electrochemical approach is pursued, employing the use of cell features such as rest potentials and columbic efficiencies to model various failure mechanisms in Zn||EMD cells. Prior to investigating failure mechanisms, optimization of the Zn||EMD cell is explored based on particle size, EMD weight composition, and electrolyte volume to minimize Mn2+ dissolution.

Understanding Performance Issues in Gr/Lfp: An Exploration of Electrochemical Testing Parameters and Origins of Gassing

The majority of Li-ion batteries in use today make use of NMC cathode systems, due to their ability to meet the power and energy requirements demanded of them. For applications that don’t require high energy density and instead opt for battery systems with a higher emphasis towards cost and safety metrics, LFP is often utilized, as LFP is considered a much safer chemistry than NMC due to enhanced chemical stability, reduced toxicity, and greater abundance of raw materials for synthesis, leading to lower cost. However, implementation of LFP systems faces its own issues- at elevated temperatures, LFP suffers from reduced stability manifesting as reduced capacity retention and elevated gassing during high temperature testing1. Performance of lithium-ion cells using this chemistry, particular at higher temperatures and higher energy density applications, prevents widespread adoption of Gr/LFP due to observed performance detriments.Creating a thorough understanding of the effects of temperature and voltage is critical to solving the problems associated with implementation of Gr/LFP systems. In this presentation, studies were conducted to explore the effect of different electrochemical testing parameters on the stability of Gr/LFP systems. Testing included storage testing at 30°C, 45°C, and 60°C and at 3.4 and 3.65V. Development and optimization of electrolyte components have been successfully employed to improve performance and abate key stability issues by both increasing capacity retention and reducing gassing at higher temperatures.Previously, isotopically labeled carbonates were used in Gr/NMC811 multilayer pouches aged at elevated temperatures, and the resulting gases were analyzed by GC-MS to identify and quantify the specific solvent source(s) of each gas species2. This presentation builds on this knowledge base by investigating whether gas mechanisms observed in the NMC811 system persist in other chemistries, or if Gr/LFP system exhibits fundamentally different electrolyte decomposition mechanisms. 13C-labeled carbonate solvents, including labeled DMC, DEC, and EC, are used in conjunction with simple binary carbonate blends to understand key gassing mechanisms and identify markers for electrolyte solvent decomposition. These studies offer insights that can directly inform electrolyte-based modifications to improve the high temperature stability of Gr/LFP batteries. Logan, E.R.; Hebecker, H.; Eldesoky, A.; Luscombe, A.; Johnson, M.; Dahn, J.R.Performance and Degradation of LiFePO4/Graphite Cells: The Impact of Water Contamination and an Evaluation of Common Electrolyte Additives. Journal of the Electrochemical Society 2020. 167, 130543Guillot, S.L.; Kerber, B.; Du, P.; Zhou, L.; Garg, S.; Usrey, M.L. Isotopic Labeling of Carbonate Solvents for Mechanistic Insights into Battery Gassing and Gas Reduction By Fluorinated Organosilanes. 243rd Electrochemical Society Meeting. Boston, MA. May 29th, 2023.

A mechanism model and data-driven fusion approach for rapid consequence prediction of explosion accidents in chemical clusters

Explosions are considered as a major hazard for chemical cluster safety because they can cause catastrophic disasters. The rapid explosion consequence prediction is critical for emergency response to prevent such disasters. Traditional modeling methods, such as experiment and numerical simulation, provide insights into the explosion mechanism but require high time overhead, thus challenging for real-time predictions. This paper proposes a mechanical model and data-driven fusion method for promptly predicting consequences of potential explosions in the specific chemical cluster. It exploits machine learning (ML) for explosion modeling of specific scenes. Numerical model validated by experiment is employed to provide high-quality benchmark data. Meanwhile, a zoning modeling and progressive-learning strategy is designed for enhancing data-driven model’s accuracy and efficiency. As a result, potential consequence of any explosion occurring in this specific scene can be quickly predicted by using the developed data-driven model. The proposed method is applied to vapor cloud explosion (VCE). Two data-driven models were developed to predict peak overpressure and time-varying overpressure, respectively. The results from numerical data show that our model exhibits high efficiency and strong generalization. Finally, a case study is presented to showcase the utilization of the proposed method. This research provides a reliable tool for achieving risk warning and effective response of explosions in chemical clusters.