Journal
ANALYTICA CHIMICA ACTA
Volume 631, Issue 1, Pages 47-53Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2008.10.012
Keywords
Solid-phase microextraction; Antiestrogens; Gas chromatography-mass spectrometry; Biological matrices
Categories
Funding
- National Nature Sciences Funding of China [20735002, 20675016]
- Physical Education Bureau of Fujian Province [HX2005-74]
- Nature Sciences Funding of Fujian Province [2007J0279]
- Research Foundation of Education Bureau of Fujian Province [2007F5067]
- Science and Technology Department of Fujian Province [200710020, 2008Y0015]
- University New Century Outstanding Talent of Fujian Province [HX2006-101]
- Agilent Technologies Co. Ltd.
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A kind of homemade solid-phase microextraction fibre coupled with gas chromatography-mass spectrometry (GC-MS) was developed for trace analysis of antiestrogens (tamoxifen, cis- and trans-clomiphene) in biological matrices. In this method, derivatization was unnecessary and sample solution Could be injected directly after very simple deproteinization operation. The conditions of influencing adsorption of the solid-phase microextraction (SPME) fibre and desorption of the analytes were investigated gated in details. Matrix effects were studied in different background. Under optimum conditions the, proposed method was further validated by spiking analytes into rabbit liver solutions. Linear ranges of tamoxifen. cis- and trans-clomiphene were 0.02-2.56, 0.08-2.56 and 0.16-2.56 ng mL(-1), respectively. The limits of quantitation were in the range of 0.02-0.16 ng mL(-1). The intra-day accuracy was ranged 96.2-106.2% and precision were in the range of 5.1-8.7%. The extraction recoveries of the antiestrogens in rabbit liver solution were between 73.8% and 113.1%, and R.S.D.s were from 3.6% to 14.1%. The results show that the homemade sol-gel coating is Suitable for determination of trace antiestrogens in complex matrices. The proposed approach was proved to be rapid, simple, easy, sensitive and reproducible for trace analysis of antiestrogens in biological matrices. (C) 2008 Elsevier B.V. All rights reserved.
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