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Chemometrics-assisted liquid chromatography-full scan mass spectrometry for simultaneous determination of multi-class estrogens in infant milk powder

机译:化学计量辅助液相色谱 - 全扫描质谱,同时测定婴幼儿奶粉中多级雌激素

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摘要

In the present study, a smart analytical strategy that combines liquid chromatography-full scan mass spectrometry with the second-order calibration method based on the alternating trilinear decomposition (ATLD) algorithm was developed for the simultaneous determination of seven estrogens in infant milk powders. The seven estrogens were rapidly eluted out within 7.0 min under a simple gradient condition and then, they were detected by mass spectrometry operated in the full scan mode. With the aid of the prominent second-order advantage of the algorithm, specific qualitative and quantitative information about the target analytes could be extracted from the complex system even in the presence of considerable peak overlaps, baseline drifts and unknown interferences. The proposed strategy avoided time-consuming and laborious sample pretreatment procedures, resulting in minimal loss of analytes, which improved the analytical accuracy. Average recoveries of the seven estrogens in two spiked infant milk powder samples were in the range of 91.2-104.2% with the relative standard deviations (RSDs) lower than 5.0% (with the exception for 17-estradiol), and the limits of detection (LOD) ranged from 0.07 to 2.49 ng mL(-1). Besides, to further confirm the feasibility and reliability of the proposed method, the same batch of samples was analyzed using the LC-MS/MS method, and the statistical tests showed that no significant difference existed between the two methods, which fully indicated that the proposed strategy could provide satisfactory prediction results in real infant milk powder samples as well as other actual chemical systems.
机译:在本研究中,开发了一种基于交替的三轴分解(ATLD)算法的二阶校准方法将液相色谱 - 全扫描质谱法结合的智能分析策略用于同时测定婴儿乳粉中的七个雌激素。在7.0分钟内在简单的梯度条件下快速洗脱七个雌激素,然后通过以全扫描模式操作的质谱法检测它们。借助于算法的突出二阶优点,即使在存在相当大的峰值重叠,基线漂移和未知干扰的情况下,也可以从复杂系统中提取关于目标分析物的具体定性和定量信息。拟议的策略避免了耗时和费力的样品预处理程序,导致分析物的损失最小,这改善了分析准确性。两个尖刺婴儿乳粉样品中七个雌激素的平均回收率在91.2-104.2%的范围内,相对标准偏差(RSD)低于5.0%(具有17-雌二醇的例外)和检测限率( lod)范围为0.07至2.49 ng ml(-1)。此外,为了进一步证实所提出的方法的可行性和可靠性,使用LC-MS / MS方法分析相同的样品,并且统计测试显示两种方法之间存在显着差异,这完全表明了拟议的策略可以提供真正的婴儿乳粉样品以及其他实际化学系统的令人满意的预测结果。

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  • 来源
    《Analytical methods》 |2018年第12期|共13页
  • 作者单位

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

    Hunan Univ Coll Chem &

    Chem Engn State Key Lab Chemo Biosensing &

    Chemometr Changsha 410082 Hunan Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
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