NWIPB OpenIR
In situ situ derivatization-ultrasound-assisted dispersive liquid-liquid microextraction for the determination of neurotransmitters in Parkinson's rat brain microdialysates by ultra high performance liquid chromatography-tandem mass spectrometry
He, Yongrui ; Zhao, Xian-En ; Zhu, Shuyun ; Wei, Na ; Sun, Jing ; Zhou, Yubi ; Liu, Shu ; Liu, Zhiqiang ; Chen, Guang ; Suo, Yourui ; You, Jinmao
2016-08-05
发表期刊JOURNAL OF CHROMATOGRAPHY A
摘要Simultaneous monitoring of several neurotransmitters (NTs) linked to Parkinson's disease (PD) has important scientific significance for PD related pathology, pharmacology and drug screening. A new simple, fast and sensitive analytical method, based on in situ derivatization-ultrasound-assisted dispersive liquid-liquid microextraction (in situ DUADLLME) in a single step, has been proposed for the quantitative determination of catecholamines and their biosynthesis precursors and metabolites in rat brain microdialysates. The method involved the rapid injection of the mixture of low toxic bromobenzene (extractant) and acetonitrile (dispersant), which containing commercial Lissamine rhodamine B sulfonyl chloride (LRSC) as derivatization reagent, into the aqueous phase of sample and buffer, and the following in situ DUADLLME procedure. After centrifugation, 50 mu L of the sedimented phase (bromobenzene) was directly injected for ultra high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) detection in multiple reaction monitoring (MRM) mode. This interesting combination brought the advantages of speediness, simpleness, low matrix effects and high sensitivity in an effective way. Parameters of in situ DUADLLME and UHPLC-MS/MS conditions were all optimized in detail. The optimum conditions of in situ DUADLLME were found to be 30 mu L of microdialysates, 150 mu L of acetonitrile containing LRSC, 50 mu L of bromobenzene and 800 mu L of NaHCO3-Na2CO3 buffer (pH 10.5) for 3.0 min at 37 degrees C. Under the optimized conditions, good linearity was observed with LODs (S/N > 3) and LOQs (S/N > 10) of LRSC derivatized-NTs in the range of 0.002-0.004 and 0.007-0.015 nmol/L, respectively. It also brought good precision (3.2-12.8%, peak area CVs%), accuracy (94.2-108.6%), recovery (94.5-105.5%) and stability (3.8-8.1%, peak area CVs%) results. Moreover, LRSC derivatization significantly improved chromatographic resolution and MS detection sensitivity of NTs when compared with the reported studies through the introduction of a permanent charged moiety from LRSC into NTs. Taken together, this in situ DUADLLME method was successfully applied for the simultaneous determination of six NTs in biological samples. (C) 2016 Elsevier B.V. All rights reserved.
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/37991
专题中国科学院西北高原生物研究所
推荐引用方式
GB/T 7714
He, Yongrui,Zhao, Xian-En,Zhu, Shuyun,et al. In situ situ derivatization-ultrasound-assisted dispersive liquid-liquid microextraction for the determination of neurotransmitters in Parkinson's rat brain microdialysates by ultra high performance liquid chromatography-tandem mass spectrometry[J]. JOURNAL OF CHROMATOGRAPHY A,2016.
APA He, Yongrui.,Zhao, Xian-En.,Zhu, Shuyun.,Wei, Na.,Sun, Jing.,...&You, Jinmao.(2016).In situ situ derivatization-ultrasound-assisted dispersive liquid-liquid microextraction for the determination of neurotransmitters in Parkinson's rat brain microdialysates by ultra high performance liquid chromatography-tandem mass spectrometry.JOURNAL OF CHROMATOGRAPHY A.
MLA He, Yongrui,et al."In situ situ derivatization-ultrasound-assisted dispersive liquid-liquid microextraction for the determination of neurotransmitters in Parkinson's rat brain microdialysates by ultra high performance liquid chromatography-tandem mass spectrometry".JOURNAL OF CHROMATOGRAPHY A (2016).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[He, Yongrui]的文章
[Zhao, Xian-En]的文章
[Zhu, Shuyun]的文章
百度学术
百度学术中相似的文章
[He, Yongrui]的文章
[Zhao, Xian-En]的文章
[Zhu, Shuyun]的文章
必应学术
必应学术中相似的文章
[He, Yongrui]的文章
[Zhao, Xian-En]的文章
[Zhu, Shuyun]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。