Noxious Gases Research Articles

Optimizing the early-stage of composting process emissions – artificial intelligence primary tests

Although composting has many advantages in treating organic waste, many problems and challenges are still associated with emissions, like NH3, CO and H2S, as well as greenhouse gases such as CO2. One promising approach to enhancing composting conditions is using novel analytical methods based on artificial intelligence. To predict and optimize the emissions (CO, CO2, H2S, NH3) during the early-stage of composting process machine learning (ML) models were utilized. Data about emissions from laboratory composting with compost’s biochar with different incubation (50, 60, 70 °C) and biochar doses (0, 3, 6, 9, 12, 15% dry mass) were used for ML models selections and training. ML models such as acritical neural network (ANN, Bayesian Regularized Neural Network; R2 accuracy CO:0.71, CO2:0.81, NH3:0.95, H2S:0.72) and decision tree (DT, RPART; R2 accuracy CO:0.69, CO2:0.80, NH3:0.93, H2S:0.65) have demonstrated satisfactory results. The ML models to predict CO and H2S during composting were demonstrated for the first time. Utilizing emission data to predict other noxious gases presents a cost-effective and expeditious alternative to the empirical analysis of compost properties.

Congenital Lobar Emphysema at Right Upper Lobe: Case Report

Emphysema is a disease of a lung condition due to airway and or alveolar abnormalities usually a chronic progressive lung disease caused by significant exposure to noxious particles or gasses that causes shortness of breath, but Congenital Lobar Emphysema is a rare malformation developmental of a lung, especially at right upper lobe of the lung, and it can cause severe respiratory distress in the newborn baby. Herein, we aimed to report our case of Congenital Lobar Emphysema

Chronic Obstructive Pulmonary Disease (COPD): Diagnosis, Pathology, Clinical Presentation and Homoeopathic Management

Chronic Obstructive Pulmonary Disease (COPD) is a very common problem worldwide now a day. COPD is preventable and treatable disease it is characterized by constant airflow limitation that is generally progressive and connected with an enhanced chronic inflammatory response in the airways and the lung to noxious particles or gases. Exacerbations and comorbidities contribute to the generally severity in individual patients of COPD. It remains a most important reason of morbidity and mortality globally and outcome in an economic and social burden that is both substantial and increasing.

Investigating Respiratory Disease Transmission Patterns Around the Figuil Cement Works

The objective of this research is to examine the dissemination of respiratory illnesses, exacerbated by the airborne pollutants emitted by the Figuil cement works, among the local population residing in the vicinity. The primary objective is to examine the impact of pollution, particularly the emission of fine particles and noxious gases, on the transmission of respiratory diseases such as asthma, chronic bronchitis and other lung disorders. The modified SEIR (Susceptible-Exposed-Infected-Recovered) epidemiological model is employed for the analysis of transmission dynamics within the community. This model incorporates environmental, health and demographic variables, thereby enabling the simulation of disease transmission as a function of varying pollution levels. Particular emphasis is placed on vulnerable groups, such as children and the elderly, due to immunosenescence, who are more likely to suffer from the adverse effects of pollution. The results will facilitate the formulation of efficacious strategies, including the implementation of awareness-raising campaigns and the introduction of sophisticated systems for the filtration and capture of pollutants at their source, such as fine particle filters or devices for the reduction of nitrogen oxides (NOx), with the objective of limiting the spread of respiratory diseases in at-risk areas and the formulation of suitable control measures.

Development of Best Practice Guideline for the management of hot holes in surface coal mines

Surface coal operations in which mining activities are conducted above old underground workings experience hot holes after drilling. In a coal mine, hot holes are defined as shot holes, which after being drilled have an in-hole ambient temperature of 40°C or above or show a temperature increase of 3°C or more during monitoring. Hot holes and other cavities, such as cracks, pose health and safety risks to workers, such as exposure to hot air and high concentrations of noxious gases released from these holes. In addition, workers may be exposed to premature detonation of explosives caused by in-hole temperature increases and chemical reactions. To this end, Coaltech Research Association commissioned a project to develop a Best Practice Guideline for the management of hot holes. This paper is a compilation of the activities conducted in the development of the Best Practice Guideline between 2021 and 2022. The activities included a review of standard operating procedures and hot-hole temperature-measuring and -monitoring devices, and the assessment of current hot-hole procedures at selected mines. The results indicated that management of hot holes requires a focus on pre-emptive risk assessment of mining blocks, identification of hot holes using the correct temperature-measuring devices, and continuous monitoring of hot holes from the time of drilling until just before blasting. Hot-hole management accessories, such as polyvinyl chloride sleeves, were found to be effective in insulating the hot-hole emulsion from the rock mass temperature, thus preventing the potential for premature detonation.

Scoping review for the SAGES EAES joint collaborative on sustainability in surgical practice.

Surgical care in the operating room (OR) contributes one-third of the greenhouse gas (GHG) emissions in healthcare. The European Association of Endoscopic Surgery (EAES) and the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) initiated a joint Task Force to promote sustainability within minimally invasive gastrointestinal surgery. A scoping review was conducted by searching MEDLINE via Ovid, Embase via Elsevier, Cochrane Central Register of Controlled Trials, and Scopus on August 25th, 2023 to identify articles reporting on the impact of gastrointestinal surgical care on the environment. The objectives were to establish the terminology, outcome measures, and scope associated with sustainable surgical practice. Quantitative data were summarized using descriptive statistics. We screened 22,439 articles to identify 85 articles relevant to anesthesia, general surgical practice, and gastrointestinal surgery. There were 58/85 (68.2%) cohort studies and 12/85 (14.1%) Life Cycle Assessment (LCA) studies. The most commonly measured outcomes were kilograms of carbon dioxide equivalents (kg CO2eq), cost of resource consumption in US dollars or euros, surgical waste in kg, water consumption in liters, and energy consumption in kilowatt-hours. Surgical waste production and the use of anesthetic gases were among the largest contributors to the climate impact of surgical practice. Educational initiatives to educate surgical staff on the climate impact of surgery, recycling programs, and strategies to restrict the use of noxious anesthetic gases had the highest impact in reducing the carbon footprint of surgical care. Establishing green teams with multidisciplinary champions is an effective strategy to initiate a sustainability program in gastrointestinal surgery. This review establishes standard terminology and outcome measures used to define the environmental footprint of surgical practices. Impactful initiatives to achieve sustainability in surgical practice will require education and multidisciplinary collaborations among key stakeholders including surgeons, researchers, operating room staff, hospital managers, industry partners, and policymakers.

A Preliminary Hazard Assessment of Kolumbo Volcano (Santorini, Greece)

Volcanic eruptions stand as destructive threats to adjacent communities, unleashing multiple hazards such as earthquakes, tsunamis, pyroclastic flows, and toxic gases. The imperative for proactive management of volcanic risks and communities’ adaptation cannot be overstated, particularly in densely populated areas where the potential for widespread devastation looms large. Kolumbo, an active submarine volcano located approximately 7 km northeast of Santorini Island in Greece, serves as a pertinent case. Its historical record is characterised by an eruption in 1650 CE that produced a catastrophic tsunami. The aftermath witnessed havoc on neighbouring islands, coupled with casualties stemming from noxious gases in Santorini. Eyewitness accounts mention maximum water run-up heights of 20 m on the southern coast of Ios, inundation of an area of 240 m inland on Sikinos, and a flooding of up to 2 km2 inland on the eastern coast of Santorini. Recent studies suggest that a potential future eruption of Kolumbo poses a substantial hazard to the northern and eastern coasts of Santorini. Unfortunately, the absence of a concrete management protocol leaves these areas vulnerable to an impending threat that demands immediate attention. Therefore, it is recommended that a comprehensive approach be adopted, involving scientific research (active monitoring, hazard maps), community engagement, preparedness planning with government agencies, and the development of timely response strategies to reduce the associated risks, prevent casualties, and mitigate the potential consequences on the region’s economy and infrastructure.

Energy consumption and dilution of toxic gases in underground infrastructures: A case study in a railway tunnel under forced ventilation

Toxic fumes are released after blasting in underground excavations. The analysis of safe re-entry times into the work areas is essential for addressing safety and productivity concerns. In this paper, a railway tunnel 2.1 km long under forced ventilation system is selected as a case study to assess the energy consumption and re-entry times after blasting under different ventilation conditions. First, three-dimensional CFD numerical models were conducted in order to predict the migration time to reduce the levels of noxious gases below the limits established in safety regulations. Field measurements were conducted to verify the accuracy of the results obtained in the simulations. Then, additional analytical models were conducted to evaluate the energy consumed by the ventilation system. The results obtained show that the accumulated re-entry time reaches 414 h for the excavation of the tunnel employing an airflow rate of 40 m3 s−1. This time increases by 33 % when the airflow rate decreases to 30 m3 s−1. However, even though the time decreases when the ventilation volume increases, energy consumption increases significantly, reaching 1,306 MWh for a ventilation volume of 40 m3 s−1 compared to 551 MWh using an airflow of 30 m3 s−1.

Stress Responses in Horses Housed in Different Stable Designs during Summer in a Tropical Savanna Climate.

Single-confinement housing can pose welfare risks to domestic horses. This study investigated horses' stress responses when confined to single stalls in different stable designs in a tropical savanna region to address a gap in the literature. In total, 23 horses were assigned to a stable with a central corridor and solid external walls (A) (N = 8), a stable with one side corridor and solid external walls (B) (N = 6), or a stable with a central corridor and no solid external walls (C) (N = 9). Air velocity, relative humidity, air temperature, and noxious gases were measured inside the stables, and the heart rate and HRV of the horses were also determined. The relative humidity was lower in stable C than in stable A (p < 0.05), while the air temperature was higher in stable C than in stable B (p < 0.05) during the day. The airflow and ammonia levels were higher in stable C than in stables B and A (p < 0.01-0.0001). Overall, horses' HRV in stable A was lower than in those in stables B and C (p < 0.05-0.01). Horses in stable A tended to experience more stress than those in other stables.

Screening for Chronic Obstructive Pulmonary Disease in Patients with Coronary Artery Disease at a Tertiary Care Hospital

Chronic Obstructive Pulmonary Disease is a common, preventable and treatable disease that is characterized by persistent respiratory symptoms and airflow limitation that is due to airway and/or alveolar abnormalities usually caused by significant exposure to noxious gases or particles and influenced by host factors, including abnormal lung development. COPD was the 4th most common cause of death globally, and it was anticipated to rise to the 3rd position by 2020 or sooner. Over 80% of these patients go undiagnosed. COPD and CAD frequently co-exist and interact due to various reasons like similar risk factors and pathogenesis. Although there are global studies on the prevalence of COPD in CAD patients, data from India are scarce. This study aims to find the prevalence of COPD among CAD patients and find the correlation between the occurrence of COPD and cardiac status. This study was conducted as a prospective observational cross-sectional study at Chettinad Hospital and Research Institute in India. 293 patients with angiographically proven CAD underwent pulmonary function evaluation by spirometry to assess the prevalence of COPD. Recent 2D-ECHO was also correlated. The study found that 18.77% of 293 Coronary Artery Disease (CAD) patients had COPD and 3.07% had PRISM( preserved ratio impaired spirometry, a new term coined), making it one of the few studies to report the prevalence of PRISM among CAD patients. Outside of India, studies have found that COPD prevalence ranges from 7% to 33.6% among ischemic heart disease patients. Impairment of spirometry positively correlated with the severity of CAD. Our study found a considerable frequency of missed COPD diagnoses. Hence, we recommend that when CAD is diagnosed, the initial evaluation should include a complete history of respiratory symptoms, clinical examination, and spirometry to assess pulmonary function, particularly in those who have risk factors such as smoking and the use of biomass fuel so as to identify COPD at an early stage and treat it. Identifying PRISM can help prevent its progression to COPD by making the required lifestyle modifications. A multidisciplinary approach is advised for all those diagnosed to have CAD.

Odours in Asphalt: Analysis of the Release of H2S from Bitumen by a Mass Spectrometric Residual Gas Analyser.

During the production and laying phases of hot-mixing asphalt (HMA), various volatile organic compounds (VOCs) and noxious gases such as H2S are released into the atmosphere. These emissions are a serious environmental problem, a risk to human health, and expose workers and residents to unfriendly odours. The aim of this study was the development of a fast and sensitive analytical method to detect the H2S emitted from hot bituminous binder that is generally used in the various stages of asphalt production, processing, handling and during road construction. The method consisted in the analysis of evolved H2S from a flask with molten bitumen, using nitrogen as a carrier gas to lead the volatile compounds into a residual gas analyser equipped with a quadrupole mass spectrometer. The analysis was performed following the H2S-specific signals at m/z 33 (HS+) and at m/z 34 (H2S+) in real time, directly on the sample without laborious and expensive pre-treatments and with short response times (<6 s). Calibration with a standard mixture of 1000 ppm of H2S in nitrogen allows semi-quantitative H2S detection. The sensitivity and rapidity of the method were evaluated by quenching the release of sulphur compounds with commercial odour-suppressing agents. Upon addition of 0.1% of additive in two minutes, the H2S signal drops about 80% in two minutes, confirming the good response of the method, even with a very complex matrix.

Battling hazardous gas molecules with kekulene surfaces: A computational study

A Density Functional Theory were used to investigate the interactions between kekulene and various noxious gases, including methane(CH4), carbon dioxide (CO2), hydrogen(H2), ammonia(NH3), and sulfur dioxide(SO2). The adsorption energies and bond distances were computed, indicating successful molecular interactions with kekulene, particularly notable in the exothermic nature of the adsorption process. Enthalpy calculations further confirmed the exothermic nature of the reactions, suggesting spontaneous adsorption. The analysis of frontier molecular orbitals revealed distinctive electronic characteristics, with HOMO-LUMO plots indicating a significant energy gap between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO). Chemical descriptors derived from these calculations provided insights into the reactivity and polarizability of the compounds. Furthermore, the molecular electrostatic potential (MEP) surface maps illustrated the electrostatic potential distribution, aiding in predicting the molecule’s reactivity. Overall, the study highlights the potential of kekulene as a selective adsorbent for toxic gas (SO2), offering valuable insights into its chemical and electronic properties for various applications, particularly in environmental and industrial settings.

Prospective Roles of Extremophilic Fungi in Climate Change Mitigation Strategies.

Climate change and the resultant environmental deterioration signify one of the most challenging problems facing humankind in the 21st century. The origins of climate change are multifaceted and rooted in anthropogenic activities, resulting in increasing greenhouse gases in the environment and leading to global warming and weather drifts. Extremophilic fungi, characterized by their exceptional properties to survive extreme habitats, harbor great potential in mitigating climate change effects. This review provides insight into the potential applications of extremophilic fungi in climate change mitigation strategies. They are able to metabolize organic biomass and degrade carbon compounds, thereby safely sequestering carbon and extenuating its release into the environment as noxious greenhouse gases. Furthermore, they possess extremozymes, which break down recalcitrant organic species, including lignocellulosic biomass and hydrocarbons. Enzymatic machinery equips these extremophilic fungi to perform the bioremediation of polluted environments. Extremophilic fungi can also be exploited for various biological interventions, such as biofuels, bioplastics, and other bioprocessing applications. However, these fungi characterize a valued but underexplored resource in the arsenal of climate change mitigation strategies.

Hydrogeochemical characteristics and air quality risks associated with gold mining operations in Egypt using geochemical modeling and risk indices

The success of industrial operations depends on the effective identification, appraisal, and mitigation of possible hazards and associated environmental concerns. This report provides a complete review of environmental management techniques at the Sukari Gold Mine (SGM), located in the southeastern desert of Egypt. Extensive environmental measurements were taken to assess air and water quality, identify hazards, and analyze risks on the SGM premises. Air quality and noise intensity levels were measured at 39 places around the mine's working region. The findings found noncompliance with the Egyptian Environmental Law's (EEL4/94) noise exposure limitations, with the Power Generator House having the maximum noise levels at 107 dB. Remedial measures such as personal protective equipment (PPE) and exposure limit reduction strategies are being considered to address elevated noise levels. Measurements of particulate matter (PM10) and noxious gases (e.g., CO, SO2, NO2, HCN, and NH3) were conducted in workplace and ambient environments. Elevated PM10 concentrations were particularly concerning in underground regions, forcing the deployment of water depression techniques and improved PPE measures. While gas emissions from most activities remained under regulatory limits, select zones showed hydrogen cyanide (HCN) levels that exceeded permitted thresholds, necessitating specific control actions. Using hazard index (HI) and risk rating assessments, this study found different risk profiles across SGM's workplaces, focusing on high-risk regions for focused intervention. Additionally, a water assessment near a Tailing Storage Facility (TSF) was conducted to monitor the impact of mining activities on groundwater quality. The study revealed that groundwater in the region belongs to the Na–K–Cl–SO4 and Ca–Mg–Cl–SO4 water classes, with potential degradation attributed to high mineralization processes induced by aquifer materials and seawater intrusion. The findings underscore the importance of ongoing monitoring, control measures, and implementation of programs to ensure environmental sustainability and minimize risks associated with mining activities in the Sukari Gold Mines. This research highlights the imperative of continuous monitoring, proactive control measures, and the implementation of environmental initiatives to ensure the sustainability of mining operations within the Sukari Gold Mines.

A comparative study of machine learning models for identifying noxious gases through thermal fingerprint measurements and MOS sensors

Recently, there has been a notable surge of interest in developing swift and precise gas detection and categorization tools through artificial intelligence. This work specifically focuses on designing a simple sensor array configuration and empirically compares various machine-learning models for identifying multiple gases. The study employs eight metal oxide semiconductor sensors, each operating independently based on the thermal fingerprint principle. These sensors are utilized to gather data on responses to different toxic gases, and a range of traditional machine learning classifiers are trained and assessed using this dataset. The classifiers undergo investigation across various train/test dataset split ratios and different principal component analysis dimensionalities. Average accuracy metrics are employed over the entire testing dataset to evaluate model performance. The results demonstrated the challenge of selectively detecting each gas type solely through conventional analyses with the gas response data of the proposed sensor array. Nevertheless, the utilization of machine learning models has exhibited promising outcomes in augmenting gas identification and classification. The findings reveal a consistent improvement in testing accuracy for the Gradient Boosting model, which achieves an outstanding accuracy rate, with instances of reaching 100% accuracy in the training dataset when three or more principal components are considered. This study highlights the potential of the proposed straightforward sensor array and presents effective recognition algorithms applicable to creating electronic noses for gas-sensing applications.

Adsorption characteristics of Ni cluster Modified-InN monolayer for indoor noxious gases (CH2O, C6H6, and NH3)

With the continuous enhancement of people's health awareness and the pursuit of high-quality life, the noxious gases generated after the renovation of new houses are receiving more attention. The gas sensing properties of InN monolayer modified with Ni clusters (1–3 Ni atoms) on CH2O, C6H6, and NH3 were analyzed based on DFT calculations, including the adsorption energy, charge transfer, density of states, bandgap structure, molecular orbitals, electrostatic potential, and desorption time investigation of gas adsorption systems. Moreover, different numbers of Ni atoms were introduced and their adsorption energies were analyzed. The results showed that the intrinsic InN and Ni–InN were suitable materials for gas sensors, while Ni2–InN and Ni3–InN were more suitable as adsorbents for clearing these three gases. The change in conductivity upon gas adsorption provides a theoretical basis for identifying the concentration of mixed gases of CH2O, C6H6, and NH3.

Chronic Obstructive Pulmonary Disease

Chronic Obstructive Pulmonary Disease (COPD) is a common, preventable and treatable lung disease. It is characterized by chronic respiratory symptoms and airflow limitation due to abnormalities of the airways caused by continuous exposure to noxious particles or gases. COPD occupies the third position for the cause of death worldwide. The major risk factor for the development of COPD is tobacco smoking. The inhalation of toxic particles, biomass exposure and outdoor air pollution along with other host factors including abnormal lung development and accelerated lung aging can also contribute. Spirometry characterized by non-fully reversible airflow limitation i.e., FEV1/FVC &lt; 0.7 post bronchodilation, confirms the diagnosis of COPD. The major goals of management are to reduce risk factors, manage stable COPD, prevent and treat acute exacerbations, and manage associated illnesses. The conservative management comprising of antibiotics, inhaled corticosteroids, mucolytics etc. offer promising results in this condition. But tachycardia, glossitis, glaucoma, nausea are some of the common adverse reactions noticed on chronic use of these group of drugs. The contemporary health scenario demands more contribution in this regard from the indigenous system of medicine. In Āyurvedic view, COPD can be considered under the spectrum of Prāṇavaha srotodushti vikaras. The clinical features and etiology mentioned for diseases mentioned in Ayurveda such as Kāsa, Tamaka śvāsa, Rajayakshma etc has similarity with that of COPD. Though COPD cannot be correlated to any single condition of Prāṇavaha sroto duṣti, Tamaka śvāsa can be considered as includes most of the clinical features including cough. When the etiological factors favour, the vitiated and aggravated Kapha dosha blocks the channels of Prāna and Udāna vāta causing the onset and symptoms of the disease.

Manejo de la EPOC en la era moderna

Chronic obstructive pulmonary disease (COPD) is a heterogeneous pathology that impacts more than 380 million people globally, being the third leading cause of death worldwide. Since its recognition in the 1960s, the understanding and management of COPD have significantly evolved, thanks to advances in knowledge about its etiopathogenesis and treatment. The guidelines from the Global Initiative for COPD (GOLD COPD) represent an effort to standardize diagnosis and treatment, with its review in 2023 updating the disease's definition. Proper management of COPD includes accurate diagnosis, pharmacological and non-pharmacological therapies, and prevention strategies focused especially on smoking cessation, the main cause of the disease.Diagnosis is based on the history of exposure to noxious particles or gases, with spirometry as a key exam to confirm not completely reversible bronchial obstruction. The treatment strategy has improved with the development of new drugs and administration devices, focusing on reducing symptoms and the risk of exacerbations. Pharmacological therapy is adapted according to the GOLD classification of the patient, with options ranging from bronchodilator therapies to combinations of multiple drugs for more severe cases. The importance of detecting and treating comorbidities is critical, given their high prevalence in patients with COPD and their impact on mortality.Non-pharmacological strategies include smoking cessation, long-term oxygen therapy, physical activity, and pulmonary rehabilitation, as well as ensuring adequate immunization. The management of exacerbations must be appropriate and early, as they are associated with an increase in morbidity and mortality.This review seeks to provide an evidence based integral approach to the management of COPD.

Engineered separator of cellulose/ionic-liquid for the fabrication of a novel device with H-type architecture and dual function: Supercapacitor and NO2 gas sensor

This investigation presents the fabrication of integrated dual-devices that work as supercapacitor or NO2 gas-sensor. Those devices were constructed with a novel H-type architecture, which allows the control of the separation distance between electrodes (d = 0.4 or 0.8 cm). Firstly, SCs were made with d = 0.8 cm and graphene (GR) electrodes (GR-SC/0.8 device), those ones produced the highest capacitance/energy–density of 284.6F/g/40.6 Wh kg−1. Next, SCs were made with composite electrodes of graphene/La0.2Gd1.8Zr2O7 + La0.7Sr0.3MnO3-perovskite (LGZM) and the weight ratio of GR/LGZM varied from 1/1 to 0.7/1.3. SCs made with GR/LGZM ratio of 1/1 and d = 0.8 cm produced a higher capacitance/energy–density of 378.3F/g/52.5 Wh kg−1. Devices made with a separation distance of 0.4 cm had lower capacitances of 56–72.7F/g, but presented a battery behavior (not observed in the devices made with d = 0.8) that generated capacities of 787–866 mAh/g. Interestingly, increasing the separation distance from 0.4 to 0.8 in the devices made with GR + LGZM increased their capacitance by 268–571 %. Raman and XPS analyses demonstrated that the redox centers for the charge storage in the SCs made with the LGZM-perovskite were the oxygen vacancies, Mn3+/Mn4+ and Gd0/Gd3+ species. Later, the dielectric separator of the GLGZM1/1-SC/0.4 device was coated by a layer of ionic liquid [BMIM][BF4] and this modified device (sensor) was exposed to NO2 gas. Consequently, NO2 gas (100 ppm) was detected with response/recovery times of 11.6/178.8 s (its gas-response was 10.3). For reference purposes, a similar sensor was made with only graphene electrodes, but it had higher response/recovery times of 17.1/284.2 s and lower gas-response of 5.9. Hence, the dual-devices could provide energy and detection of noxious gases, which is attractive for wearable electronics.

“Heterodimensional Structure” Integrated Defect and Interface Engineering for Efficiently EMI Shielding and Electrochemical Response

AbstractTwo colossal global challenges remain energy scarcity and environmental pollution, having evolved into problems that human society cannot ignore. Therefore, developing a material with efficient electromagnetic (EM) interference shielding and electrocatalytic properties has become imperative in promoting sustainable development and establishing environmental protection systems. Herein, a heterodimensional structure is prepared by assembling 3D spirally grown VS2 with 2D FeCo‐LDH, which precisely manipulates macroscopic EM and electrochemical characteristics through defect and interface engineering. The results show that the heterodimensional structure presents an efficient shielding effectiveness of 30.2 dB at 18 GHz. Heterodimensional structure exhibits a low overpotential of 279 mV, achieving a current density of 10 mA cm−2 and a desirable stability. In addition, based on the unique electrochemical properties and EM response characteristics of the material, a special protective helmet is innovated. The helmet incorporating an autonomous oxygen supply, advanced pressure surveillance, and dynamic stealth supports a more exhaustive safeguard for missions amidst noxious gases, and situations necessitating clandestine operations. This research provides a new idea for the development of multifunctional EM active materials, showing great application prospects in the fields of aerospace engineering, energy, and EM security protection.