2014年2月
Quantitative determination of cyproconazole, as a wood preservative, by gas chromatography-mass spectrometry analysis: matrix effect observed in determining cyproconazole and efficacy of adding analyte protectant
JOURNAL OF WOOD SCIENCE
- ,
- 巻
- 60
- 号
- 1
- 開始ページ
- 80
- 終了ページ
- 85
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1007/s10086-013-1373-z
- 出版者・発行元
- SPRINGER JAPAN KK
Quantitative determination of cyproconazole by gas chromatography-mass spectrometry (GC/MS) analysis was investigated. The results suggest that cyproconazole determination is significantly affected by wood extracts. In the presence of methanol extracts of Japanese cedar (Cryptomeria japonica) heartwood, cyproconazole showed 50 % larger peak area than that without the extracts. This phenomenon whereby contaminants in the sample solution affect the intensity of the peak signal is known as the matrix effect. An investigation for eliminating the matrix effect revealed that adding sorbitol as an analyte protectant drastically increased the analyte peak intensity and successfully mitigated the matrix effect of the wood extracts. Adding hexaconazole as an internal standard was also useful in reducing the deviation of the data. The efficacy of a novel sample preparation method consisting of adding sorbitol and hexaconazole as analyte protectants and the internal standard, respectively, were applied to the GC/MS analysis of cyproconazole in the presence of wood extracts of the other nine species. It is revealed that cyproconazole can be precisely determined by GC/MS analysis in combination with the analyte protectant and the internal standard.
- リンク情報
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- DOI
- https://doi.org/10.1007/s10086-013-1373-z
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000331103300010&DestApp=WOS_CPL
- URL
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893575509&origin=inward
- ID情報
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- DOI : 10.1007/s10086-013-1373-z
- ISSN : 1435-0211
- eISSN : 1611-4663
- SCOPUS ID : 84893575509
- Web of Science ID : WOS:000331103300010