論文

査読有り
2013年12月

Determination of selected nitropolycyclic aromatic hydrocarbons in water samples

Chemical and Pharmaceutical Bulletin
  • Yvonne Chondo
  • ,
  • Ying Li
  • ,
  • Fumiya Makino
  • ,
  • Ning Tang
  • ,
  • Akira Toriba
  • ,
  • Takayuki Kameda
  • ,
  • Kazuichi Hayakawa

61
12
開始ページ
1269
終了ページ
1274
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1248/cpb.c13-00547

A new method for the analysis of selected nitropolycyclic aromatic hydrocarbons (NPAHs) at ultra-trace levels in water samples is proposed. Particulate NPAHs were collected on a GC glass fiber filter. Soluble NPAHs were collected on a C18 Empore disk. After simple clean-up and concentration of NPAHs in both phases, the NPAHs were analyzed using HPLC equipped with clean-up, reducer, concentration and chemiluminescence detection units. The proposed method showed good linear calibration curves with correlation coefficients (r2) ranging from 0.9954 to 0.9998. The limits of detection ranged from 0.013 to 0.15 nmol/L (soluble NPAHs) and from 0.01 to 0.13 nmol/L (particulate NPAHs) for 5 NPAHs [(9-nitroanthracene, 1-nitropyrene, 6-nitrochrysene (6-NC), 7-nitrobenz[a]anthracene and 6-nitrobenzo[a]pyrene] having 3 to 5 rings analyzed, when 1.5 L of water sample was used. The repeatability for soluble NPAHs ranged between 4.2 and 6.8% (n=5), while for particulate NPAHs, it varied between 2.2 and 2.8% (n=5). The proposed method successfully determined the above NPAHs expect 6-NC in river water samples, suggesting that this method is suitable for the ultra-trace analysis of NPAHs in water samples. © 2013 The Pharmaceutical Society of Japan.

リンク情報
DOI
https://doi.org/10.1248/cpb.c13-00547
CiNii Articles
http://ci.nii.ac.jp/naid/130003381791
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24292788
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000327573700008&DestApp=WOS_CPL
ID情報
  • DOI : 10.1248/cpb.c13-00547
  • ISSN : 0009-2363
  • ISSN : 1347-5223
  • CiNii Articles ID : 130003381791
  • PubMed ID : 24292788
  • SCOPUS ID : 84890108224
  • Web of Science ID : WOS:000327573700008

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