Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 163400 - 163400
Опубликована: Май 1, 2025
Язык: Английский
Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 163400 - 163400
Опубликована: Май 1, 2025
Язык: Английский
The Science of The Total Environment, Год журнала: 2024, Номер 924, С. 171616 - 171616
Опубликована: Март 11, 2024
In the rapidly evolving domain of vapor intrusion (VI) assessments, traditional methodologies encompass detailed groundwater and soil sampling coupled with comprehensive laboratory measurements. These models, blending empirical data, theoretical equations, site-specific parameters, evaluate VI risks by considering a spectrum influential factors, from volatile organic compounds (VOC) concentrations in to nuanced attributes. However, challenge variability, influenced dynamic ambient conditions intricate properties, remains. Our study presents an advanced on-site gas sensing station geared towards real-time VOC flux monitoring, enriched array sensors, spearheaded reliable PID sensor for detection. Integrating this system machine learning, we developed predictive notably random forest regression, which boasts R-squared value exceeding 79 % mean relative error near 0.25, affirming its capability predict trichloroethylene (TCE) accurately. By synergizing monitoring insights, our methodology refines risk equipping communities proactive, informed decision-making tools bolstering environmental safety. Implementing these models can simplify residents, reducing dependence on specialized systems. Once proven effective, there's potential repurpose stations other VI-prone regions, expanding their reach benefit. The model leverage weather forecasting data provide alerts future events.
Язык: Английский
Процитировано
5Journal of Colloid and Interface Science, Год журнала: 2024, Номер 663, С. 262 - 269
Опубликована: Фев. 20, 2024
Язык: Английский
Процитировано
4ACS Materials Letters, Год журнала: 2024, Номер unknown, С. 4775 - 4782
Опубликована: Сен. 23, 2024
Язык: Английский
Процитировано
4Photonic Sensors, Год журнала: 2025, Номер 15(3)
Опубликована: Янв. 4, 2025
Abstract In this paper, we analyze the performance of diffusion-based gas distribution in antiresonant hollow-core fiber-based absorption cells. Performed theoretical analysis was based on Fick’s second law using OpenFOAM® software and finite volume method (FVM), followed by an experimental verification obtained simulations. The diffusion time tested for a 1.25 m long fiber, with laser-micromachined microchannels. Full correlation between microchannel count, position, separation rate at which cell filled target presented. Experimental results showed that proper configuration, purely-diffusion-based exchange fiber could be reduced from 6 h, down to 330 s. Obtained correlated simulations, giving perspective development implementation novel miniaturized passively cells compact laser spectrometers.
Язык: Английский
Процитировано
0TrAC Trends in Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 118213 - 118213
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Nano Materials Science, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Advanced Sensor Research, Год журнала: 2025, Номер unknown
Опубликована: Апрель 12, 2025
Abstract Thermal runaway is a critical safety concern in lithium‐ion battery energy storage systems. This review comprehensively analyzes state‐of‐the‐art sensing technologies and strategies for early detection warning of thermal events. The primary inducing factors, evolution mechanism, characteristic reactions at various stages are discussed. Detectable signals during runaway, including temperature, gas emissions, pressure, strain, acoustic signals, examined, along with advancements corresponding technologies. importance sensor implantation, collaboration, communication within cells highlighted, as well the development intelligent algorithms models. Miniaturized, integrated, arrayed sensors identified an inevitable trend advancing monitoring Intrinsically safe design future systems, considering distinct characteristics emerging technologies, crucial enhancing reliability. Future research shall focus on developing advanced real‐time, situ monitoring, establishing new paradigm diagnosis using algorithms, integrating models these accurate state estimation warnings. provides insights to guide strategies, facilitating widespread adoption renewable
Язык: Английский
Процитировано
0Coordination Chemistry Reviews, Год журнала: 2025, Номер 539, С. 216733 - 216733
Опубликована: Апрель 23, 2025
Язык: Английский
Процитировано
0ChemPhysChem, Год журнала: 2024, Номер 25(14)
Опубликована: Фев. 27, 2024
Abstract Prolonged exposure to alcohol vapors can have detrimental effects on human health, potentially leading eye irritation, dizziness, and in some cases, damage the nervous system. The present article aims provide a comprehensive understanding synthesis characterization of zinc ferrite (ZnFe 2 O 4 ) nanoparticles, as well their interactions with range vapors, including methanol, ethanol, n‐propanol, isopropanol. These alcohols differ molecular weight, boiling points, diffusivity, other properties. study reveals semiconducting ZnFe nanoparticulate sensor‘s capability for reversible, repeatable, sensitive detection vapors. sensor exhibits highest response ethanol within operating temperature (225–300 °C). An attempt is made establish correlation between properties target analytes observed sensing signals. Additionally, conductance transients under studied are modeled based Langmuir‐Hinshelwood adsorption mechanism. characteristic time constants obtained from this modeling justified respect analytes.
Язык: Английский
Процитировано
3Optics & Laser Technology, Год журнала: 2024, Номер 175, С. 110880 - 110880
Опубликована: Март 22, 2024
Язык: Английский
Процитировано
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