Detection of 3-Nitrotyrosine in Atmospheric Environments via a High-performance Liquid Chromatography-electrochemical Detector System

Tatsuo Ito, Keiki Ogino, Kenjiro Nagaoka, Kei Takemoto, Rina Nishiyama, Yurika Shimizu

Research output: Contribution to journalArticle

Abstract

3-nitrotyrosine (3-NT) is generated from the tyrosine residue in atmospheric bio-aerosol proteins via a reaction with ozone (O3) and nitrogen dioxide (NO2). Stable 3-NT is a specific marker for oxidative damage and is reported to have a promotive effect to elicit allergies. In the present study, we report the development of a highly sensitive assay to quantify 3-NT in air sampler filters to collect < 2.5 µm of particulate matter (PM2.5) from urban environmental air, including bio-aerosol. In this method, a 6 mm-diameter round hole was cut from the filters of air samplers and mixed with a nonspecific protease cocktail in order to hydrolyze proteins. Protein samples digested to the amino acid level were tested for 3-NT using a high-performance liquid chromatography-electrochemical detector (HPLC-ECD). The maximum 3-NT content was detected in a prefilter for PM of sizes from 4.5 to 7.3 μm, with a detection limit of 1.13 pg/m3.

Original languageEnglish
JournalJournal of visualized experiments : JoVE
Issue number143
DOIs
Publication statusPublished - Jan 30 2019

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High performance liquid chromatography
High Pressure Liquid Chromatography
Detectors
Proteins
Aerosols
Air Filters
Allergies
Air filters
Air
Ozone
Amino acids
Assays
Nitrogen Dioxide
Particulate Matter
Nitrogen
Tyrosine
Limit of Detection
Hypersensitivity
Peptide Hydrolases
3-nitrotyrosine

ASJC Scopus subject areas

  • Neuroscience(all)
  • Chemical Engineering(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Cite this

Detection of 3-Nitrotyrosine in Atmospheric Environments via a High-performance Liquid Chromatography-electrochemical Detector System. / Ito, Tatsuo; Ogino, Keiki; Nagaoka, Kenjiro; Takemoto, Kei; Nishiyama, Rina; Shimizu, Yurika.

In: Journal of visualized experiments : JoVE, No. 143, 30.01.2019.

Research output: Contribution to journalArticle

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