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GC-MS/MS analysis for source identification of emerging POPs in PM
2.5
Yi Jie Chen
, Yanhao Zhang
, Yanyan Chen
, Yan Lu
, Ruijin Li
, Chuan Dong
, Zenghua Qi
, Guoguang Liu
, Zhi Feng Chen
*
,
Zongwei CAI
*
*
Corresponding author for this work
Department of Chemistry
Research output
:
Contribution to journal
›
Journal article
›
peer-review
19
Citations (Scopus)
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Dive into the research topics of 'GC-MS/MS analysis for source identification of emerging POPs in PM
2.5
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Keyphrases
Particulate Matter 2.5 (PM2.5)
100%
LC-MS Analysis
100%
Gas Chromatography-mass Spectrometry
100%
Source Identification
100%
Emerging POPs
100%
Hexachlorobutadiene
42%
Pentachloroanisole
42%
Tai Chi
28%
Chlorobenzene
28%
Limit of Detection
14%
Triple Quadrupole Mass Spectrometry
14%
Mean Concentration
14%
Coal Combustion
14%
Contamination Profiles
14%
Silica Gel
14%
Trace Analysis
14%
Gas Chromatography
14%
Limit of Quantification
14%
Statistical Analysis
14%
Temporal Distribution
14%
Incineration
14%
Unintended Emissions
14%
Electron Ionization
14%
Agricultural Activities
14%
Photoreaction
14%
Ultrasonic Solvent Extraction
14%
Gel Purification
14%
Food Science
Quadrupole Mass Spectrometry
100%
Tandem Mass Spectrometry
100%
Gas Chromatography Mass Spectrometry
100%
Gas Chromatography
100%
Electron Ionization
100%
Earth and Planetary Sciences
Gas Chromatography Mass Spectrometry
100%
Particular Matter 2.5
100%
Persistent Organic Pollutant
100%
Chlorobenzene
28%
Emissions
14%
Quadrupole
14%
Gas Chromatography
14%
Coal Combustion
14%
Silica Gel
14%
Mass Spectroscopy
14%
Temporal Distribution
14%
Incineration
14%
Ultrasonics
14%
Solvent Extraction
14%
Chemistry
Gas Chromatography Mass Spectrometry (GCMS)
100%
Tandem Mass Spectrometry
100%
Particular Matter 2.5
100%
Chlorobenzene
28%
Quadrupole Mass Spectroscopy
14%
Coal Combustion
14%
Trace Analysis
14%
Gas Chromatography
14%
Electron Ionization
14%
Solvent Extraction
14%