期刊
PLANT METHODS
卷 10, 期 -, 页码 -出版社
BIOMED CENTRAL LTD
DOI: 10.1186/1746-4811-10-39
关键词
Brassinosteroid; Magnetic solid phase extraction; In situ derivatization; Hydrophilic interaction; Liquid chromatography-mass spectrometry
资金
- National Natural Science Foundation of China [91217309, 91017013]
- Fundamental Research Funds for the Central Universities
Background: Brassinosteriods (BRs) are a group of important phytohormones that have major effects on plant growth and development. To fully elucidate the function of BRs, a sensitive BR assay is required. However, most of the previously reported methods are tedious and time-consuming due to multiple pretreatment steps. Therefore, it is of great significance to develop a method to increase the throughput and detection sensitivity of BR analysis. Results: We established a novel analytical method of BRs based on magnetic solid phase extraction (MSPE) combined with in situ derivatization (ISD). TiO2-coated magnetic hollow mesoporous silica spere(TiO2/MHMSS) was served as a double identity-a microextraction sorbent and microreactor for the capture and derivatization of BRs in sequence. BRs were first extracted onto TiO2/MHMSS through hydrophilic interaction. The BR-adsorbed TiO2/MHMSS was then employed as a microreactor for the derivatization of BRs with 4-(N, N-dimethyamino) phenylboronic acid (DMAPBA). The MSPE-ISD method was simple and fast, which could be accomplished within 10 min. Furthermore, the derivatives of BRs showed better MS response because they were incorporated with tertiary amino groups. Uniquely, endogenous BRs were detected in only 100 mg fresh weight plant tissue. Conclusion: Our proposed MSPE-ISD method for the determination of endogenous BRs is rapid and sensitive. It can be applied to the analysis of endogenous BRs in 100 mg fresh plant tissue (Brassica napus L. (B. napus L)). The proposed strategy for plant sample preparation may be extended to develop analytical methods for determination of a wide range of analytes with poor MS response in other complex sample matrices.
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