首页> 外文期刊>Data in Brief >Mass spectrometric detection of biomarkers for early assessment of intraamniotic fluid infection
【24h】

Mass spectrometric detection of biomarkers for early assessment of intraamniotic fluid infection

机译:质谱检测生物标志物以早期评估羊水感染

获取原文
           

摘要

This data article contains information on glutathione sulfonamide (GSA) structural confirmation and purity after synthesis, as well as mass spectrometry acquisition parameters for the determination of GSA and other biomarkers for the early assessment of intraamniotic fluid infection in amniotic fluid samples (Cháfer-Pericás et al., 2015) . GSA standards were synthesized and structural confirmation was carried out employing time-of-flight mass spectrometry (TOF-MS); purity was assessed by high performance liquid chromatography (HPLC) with UV detection. For optimization of the acquisition parameters of GSA and other biomarkers, individual analytical standard solution at a concentration of 1μmolL ? 1 was injected into an Acquity – Xevo TQ liquid-chromatography coupled to tandem mass spectrometry (LC-MS/MS) system from Waters (Milford, MA, USA) operating in the positive electrospray (ESI + ) mode. Mass spectrometric detection of 3-nitro-tyrosine (3NO2-Tyr), 3-chloro-tyrosine (3Cl-Tyr), 8-hydroxy-2′-deoxyguanosine (8OHdG), GSA and oxidized glutathione (GSSG) was carried out by multiple reaction monitoring (MRM). Linear response curves were calculated for each analyte normalizing the signal with peak areas of internal standards.
机译:该数据文章包含有关合成后谷胱甘肽磺酰胺(GSA)的结构确认和纯度的信息,以及用于测定GSA和用于早期评估羊水样本中羊水感染的其他生物标志物的质谱采集参数(Cháfer-Pericás等等人,2015)。合成了GSA标准,并采用飞行时间质谱(TOF-MS)进行了结构确认;通过具有UV检测的高效液相色谱(HPLC)评估纯度。为了优化GSA和其他生物标记物的采集参数,可使用浓度为1μmolL的单独分析标准溶液。将1注入到以正电喷雾(ESI +)模式运行的沃特世(美国马萨诸塞州米尔福德)的Acquity – Xevo TQ液相色谱与串联质谱分析(LC-MS / MS)系统中。通过多次质谱法对3-硝基酪氨酸(3NO2-Tyr),3-氯酪氨酸(3Cl-Tyr),8-羟基-2'-脱氧鸟苷(8OHdG),GSA和氧化型谷胱甘肽(GSSG)进行了质谱检测反应监测(MRM)。计算每种分析物的线性响应曲线,以内标峰面积归一化信号。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号