Development of a Competitive Time-Resolved Fluoroimmunoassay for Paclitaxel

Qian Cui, Hiroyuki Tanaka, Yukihiro Shoyama, Hao Ting Ye, Fang Li, En Wei Tian, Ying Song Wu, Zhi Chao

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Introduction: Paclitaxel (Tax) is a diterpene alkaloid isolated from Taxus species and has proved clinically effective in treating a number of malignancies. Current quantitative analytical methods for Tax such as high-performance liquid chromatography (HPLC) often involve complicated sample preparation procedures with low recovery rates. Objective: To establish a rapid and sensitive time-resolved fluoroimmunoassay (TRFIA) for measuring Tax in Taxus materials with convenient sample preparation and a high recovery rate. Methods: Rabbit anti-mouse IgG was coated onto a 96-well microplate, which was then incubated with standard solutions of Tax and anti-Tax monoclonal antibody 3A3. A Eu3+-labelled conjugate of Tax and human serum albumin was used as the tracer. The luminescent system was enhanced with a solution containing 2-naphthoyltrifluoroacetone. Results: The established TRFIA showed a linear response within the Tax concentration range of 3.2 to 80 ng/mL, with a limit of detection of 1.4 ng/mL. The intra- and inter-assay coefficient of variation of the assay was 9.6% and 9.7%, respectively, with an average recovery rate from spiked samples of 108.5%. Tax contents in Taxus samples were determined using both the established TRFIA system and a previously established enzyme-linked immunosorbent (ELISA), and the results of two assays were well correlated. Conclusion: This TRFIA system shows a high sensitivity, precision and accuracy for detection of Tax. This assay, which is convenient and less time-consuming, allows rapid analysis of Tax and provides another option for Tax measurement for quality control of Taxus materials and products.

Original languageEnglish
Pages (from-to)284-289
Number of pages6
JournalPhytochemical Analysis
Issue number3
Publication statusPublished - May 1 2018

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Food Science
  • Biochemistry
  • Molecular Medicine
  • Plant Science
  • Drug Discovery
  • Complementary and alternative medicine


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