Data for Removal and Biotransformation of Tire Wear Compounds by the Fungus Trametes Versicolor

Erica A Wiener; Gregory H LeFevre

doi:10.25820/data.006165

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Data for Removal and Biotransformation of Tire Wear Compounds by the Fungus Trametes Versicolor

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Data for Removal and Biotransformation of Tire Wear Compounds by the Fungus Trametes Versicolor

Erica A Wiener and Gregory H LeFevre

University of Iowa

2022

DOI: 10.25820/data.006165

Files and links (6)

csv

acetanilide_hplc1.06 kBDownload View

Peak area (diode array detection) and concentration values of acetanilide for fungal biotransformation experimentOpen Data Commons Attribution (ODC-By) V1.0, Open Access

csv

biomass_sorption_hplc1.24 kBDownload View

Peak area (diode array detection) and concentration values of hexamethoxymethylmelamine for sorption to fungal biomass experimentOpen Data Commons Attribution (ODC-By) V1.0, Open Access

csv

data_dictionary3.77 kBDownload View

Data DictionaryData dictionary to explain fields in all data files. A field that may have null/missing values was marked as “no” for the “required” field.Open Data Commons Attribution (ODC-By) V1.0, Open Access

csv

diphenylguanidine_hplc1.47 kBDownload View

Peak area (diode array detection) values of 1,3-diphenylguanidine for fungal biotransformation experimentOpen Data Commons Attribution (ODC-By) V1.0, Open Access

csv

hmmm_hplc1.08 kBDownload View

Peak area (diode array detection) and concentration values of hexamethoxymethylmelamine for fungal biotransformation experimentOpen Data Commons Attribution (ODC-By) V1.0, Open Access

Abstract

This dataset describes the fungal removal (or lack thereof) of tire wear compounds found in stormwater using the model white rot fungus, Trametes versicolor. These experiments were designed to understand the environmental fate and treatment options for relevant tire wear compounds. Data were used to create kinetics models for fungal removal of acetanilide and hexamethoxymethylmelamine. 1,3-diphenylguanidine was not removed but data are provided. These data could be re-analyzed and instrument methods used for future studies.

Tire additives

HMMM

Acetanilide

Fungal Biotransformation

Trametes versicolor

HPLC-DAD

High-resolution mass spectrometry

Details

Title: Subtitle: Data for Removal and Biotransformation of Tire Wear Compounds by the Fungus Trametes Versicolor
Creators: Erica A Wiener - University of Iowa
Gregory H LeFevre - University of Iowa, Civil and Environmental Engineering
Resource Type: Dataset
Publisher: University of Iowa
DOI: 10.25820/data.006165
Grants: NRT-INFEWS: Paths to Sustainable Food-Energy-Water Systems in Resource-Limited Communities, 1633098, National Science Foundation (United States, Alexandria) - NSF
Graduate Research Fellowship Program (GRFP), 1546595, National Science Foundation (United States, Alexandria) - NSF
CAREER: Toward Resilient Stormwater Quality Practices: Biotransformation for Sustained Removal of Emerging Contaminants, 1844720, National Science Foundation (United States, Alexandria) - NSF
MRI: Acquisition of a Hybrid Quadrupole Mass Spectrometer with an Ultra-High Pressure Chromatograph, 1919422, National Science Foundation (United States, Alexandria) - NSF
Language: English
Date published: 2022
Description methods: Detailed experimental design descriptions are available in the related publication. Briefly, samples analyzed were liquid samples from paired batch experiments with fungal treatments (T versicolor exposed to the tire wear compound of interest in synthetic stormwater) and abiotic controls (synthetic stormwater with the tire wear compound of interest.) Experiments were conducted over a two-week period and sampling involved removal of 1.2 mL of liquid sample from the sample bottles and filtering with 0.2 micron PTFE filters into sample vials. One sorption to biomass experiment was conducted for HMMM. Isocratic methods were developed for HPLC-DAD analysis of each tire wear compound and peak absorbance wavelengths were determined using a spectrophotometer. Solvent blanks were run at the beginning of each run and after sets of sampling time points (i.e., once after all samples at time 0, 3, and so on). An Agilent 1260 system and Agilent OpenLab ChemStation (2.3.54) was used for HPLC-DAD and data display, respectively. Peak area and retention time values were exported to csv files for further analysis.
Academic Unit: IIHR--Hydroscience and Engineering; Civil and Environmental Engineering
Record Identifier: 9984216454902771

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Data for Removal and Biotransformation of Tire Wear Compounds by the Fungus Trametes Versicolor

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