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Highly sensitive and quantitative profiling of acidic phytohormones using derivatization approach coupled with nano-LC-ESI-Q-TOF-MS analysis.

Abstract

In current study, we developed a highly sensitive method for the quantitative profiling of acidic phytohormones. Tandem solid-phase extraction (SPE) and liquid-liquid extraction (LLE) was employed to efficiently purify acidic phytohormones, which were further derived by 3-bromoactonyltrimethylammonium bromide (BTA) to increase the ionization efficiency in electrospray ionization-mass spectrometry detection. Additionally, fifteen BTA-derived acidic phytohormones, including ten gibberellins (GAs), were well separated with a salt gradient on poly(methacrylic acid-co-ethylene glycol dimethacrylate) (MAA-co-EDMA) monolithic column. By employing online trapping system, the signal intensities of the analytes were significantly improved. The limits of detection (LODs, Signal/Noise=3) of targeted phytohormones ranged from 1.05 to 122.4 pg/mL, which allowed the highly sensitive determination of low abundant acidic phytohormones with tiny amount plant sample. Good reproducibility was obtained by evaluating the intra- and inter-day precisions with relative standard deviations (RSDs) less than 10.9 and 11.9%, respectively. Recoveries of the target analytes from spiked rice leave samples ranged from 88.3 to 104.3%. By employing the method developed here, we were able to simultaneously determine 11 endogenous acidic phytohormones from only 5mg of rice leave sample, which dramatically decreased the required sample amount (three orders of magnitude lower) for the profiling of low abundant acidic phytohormones compared to previous reports. Taken together, the method provided a good solution for the highly sensitive and quantitative profiling of endogenous acidic phytohormones.

Authors+Show Affiliations

Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22917596

Citation

Chen, Ming-Luan, et al. "Highly Sensitive and Quantitative Profiling of Acidic Phytohormones Using Derivatization Approach Coupled With nano-LC-ESI-Q-TOF-MS Analysis." Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences, vol. 905, 2012, pp. 67-74.
Chen ML, Fu XM, Liu JQ, et al. Highly sensitive and quantitative profiling of acidic phytohormones using derivatization approach coupled with nano-LC-ESI-Q-TOF-MS analysis. J Chromatogr B Analyt Technol Biomed Life Sci. 2012;905:67-74.
Chen, M. L., Fu, X. M., Liu, J. Q., Ye, T. T., Hou, S. Y., Huang, Y. Q., Yuan, B. F., Wu, Y., & Feng, Y. Q. (2012). Highly sensitive and quantitative profiling of acidic phytohormones using derivatization approach coupled with nano-LC-ESI-Q-TOF-MS analysis. Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences, 905, 67-74. https://doi.org/10.1016/j.jchromb.2012.08.005
Chen ML, et al. Highly Sensitive and Quantitative Profiling of Acidic Phytohormones Using Derivatization Approach Coupled With nano-LC-ESI-Q-TOF-MS Analysis. J Chromatogr B Analyt Technol Biomed Life Sci. 2012 Sep 15;905:67-74. PubMed PMID: 22917596.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Highly sensitive and quantitative profiling of acidic phytohormones using derivatization approach coupled with nano-LC-ESI-Q-TOF-MS analysis. AU - Chen,Ming-Luan, AU - Fu,Xiao-Meng, AU - Liu,Jia-Qi, AU - Ye,Tian-Tian, AU - Hou,Sheng-Yu, AU - Huang,Yun-Qing, AU - Yuan,Bi-Feng, AU - Wu,Yan, AU - Feng,Yu-Qi, Y1 - 2012/08/13/ PY - 2012/05/25/received PY - 2012/07/31/revised PY - 2012/08/03/accepted PY - 2012/8/25/entrez PY - 2012/8/25/pubmed PY - 2013/3/1/medline SP - 67 EP - 74 JF - Journal of chromatography. B, Analytical technologies in the biomedical and life sciences JO - J Chromatogr B Analyt Technol Biomed Life Sci VL - 905 N2 - In current study, we developed a highly sensitive method for the quantitative profiling of acidic phytohormones. Tandem solid-phase extraction (SPE) and liquid-liquid extraction (LLE) was employed to efficiently purify acidic phytohormones, which were further derived by 3-bromoactonyltrimethylammonium bromide (BTA) to increase the ionization efficiency in electrospray ionization-mass spectrometry detection. Additionally, fifteen BTA-derived acidic phytohormones, including ten gibberellins (GAs), were well separated with a salt gradient on poly(methacrylic acid-co-ethylene glycol dimethacrylate) (MAA-co-EDMA) monolithic column. By employing online trapping system, the signal intensities of the analytes were significantly improved. The limits of detection (LODs, Signal/Noise=3) of targeted phytohormones ranged from 1.05 to 122.4 pg/mL, which allowed the highly sensitive determination of low abundant acidic phytohormones with tiny amount plant sample. Good reproducibility was obtained by evaluating the intra- and inter-day precisions with relative standard deviations (RSDs) less than 10.9 and 11.9%, respectively. Recoveries of the target analytes from spiked rice leave samples ranged from 88.3 to 104.3%. By employing the method developed here, we were able to simultaneously determine 11 endogenous acidic phytohormones from only 5mg of rice leave sample, which dramatically decreased the required sample amount (three orders of magnitude lower) for the profiling of low abundant acidic phytohormones compared to previous reports. Taken together, the method provided a good solution for the highly sensitive and quantitative profiling of endogenous acidic phytohormones. SN - 1873-376X UR - https://www.unboundmedicine.com/medline/citation/22917596/Highly_sensitive_and_quantitative_profiling_of_acidic_phytohormones_using_derivatization_approach_coupled_with_nano_LC_ESI_Q_TOF_MS_analysis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1570-0232(12)00466-7 DB - PRIME DP - Unbound Medicine ER -