DPM OC, EC and FT-IR Data (Quantifying Elemental and Organic Carbon in Diesel Particulate Matter by mid Infrared Spectrometry) (Dataset)
Dataset
Public Domain
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2023/07/25
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Series: Mining Publications
File Language:
English
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Description:Download the Dataset decsribed here from Data.cdc.gov at https://doi.org/10.26616/NIOSHRD-1071-2023-0. ; A method for the quantification of airborne organic carbon (OC) and elemental carbon (EC) within aerosolized diesel particulate matter (DPM) is described in the article cited below. DPM is a known carcinogen encountered in many industrial workplaces (notably mining) and in the ambient atmosphere. The method described here collects DPM particles onto a quartz fiber filter, after which reflection-mode infrared spectra are measured on a mid-infrared Fourier transform (FT-IR) spectrometer. Several infrared absorption bands are investigated for their efficacy in quantifying OC and EC. The thermo-optical (T-O) method is used to calibrate a linear regression model to predict OC and EC from the infrared spectra. The calibrated model, generated from laboratory DPM samples, is then utilized to quantify OC and EC in mine samples obtained from two metal mine locations under a variety of operating conditions. The feasibility of further improving these results by partial least squares (PLS) regression was investigated. A single calibration that is broadly applicable would be considered an improvement over currently available portable instruments, which require aerosol-specific calibration. Description provided by NIOSH
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Media Type:application/zip
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Described By Type:HTML Repository Page
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Rights:Public Domain
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Contact Point:Spokane Mining Research Division (SMRD). Miner Health Branch (MHB)
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Pages in Document:1 ZIP folder
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NIOSHTIC Number:nn:20068031
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Citation:Spokane, WA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Research Dataset RD-1071-2023-0, 2023 Jul; :dataset
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Email:sa-cin-webteam@cdc.gov
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Federal Fiscal Year:2023
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Peer Reviewed:False
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Main Document Checksum:urn:sha-512:710d87ddad2875c6413101d2d8f3cfd9c910194f2134864d8b18a93255182a658b71cb4bb38e7c733fc44044010384765644fddd6f2d54b8310df8ab011a9eea
File Language:
English
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