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Properties and formaldehyde removal efficiency of biocarbon-MnO2 particles

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/10214400
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The dataset includes information about biocarbon particles doped with different concentrations of MnO2 photocatalyst (BC-MnO2) Six different samples: MnO2, biocarbon, BC-MnO2-1, BC-MnO2-2, BC-MnO2-3, BC-MnO2-4 Characterization of the samples: * SEM images collected using scanning electron microscope (Carl Zeiss SUPRA 35 VP) * XRD data collected using Bruker D2 Phaser diffractometer * Porosity data collected using physisorption analyzer (Autosorb iQ-XR-AG-AG). The dataset contains data about isotherms and pores size distributions from tests under nitrogen gas (meso and macro porosity) and CO2 gas (microporosity). Formaldehyde removal potential of the samples: The raw data were generated from an electrochemical formaldehyde sensor (Stox-HCHO) at ambient conditions (temperature of 23 °C, relative humidity between 40% and 46%, and conventional visible light). The sensor was placed in a test chamber equipped with the sensor and 8 µl of formaldehyde (HCHO) solution was injected. Then the test chamber was hermetically closed and changes in formaldehyde levels were measured. The same sensor provided information about temperature and relative humidity in the test chamber. Data was aquired using TVOC-HCHO logger software. The formaldehyde removal efficiency (%) of the samples after 8h of experiment was determined from the raw data.
创建时间:
2023-11-28
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