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首页> 外文期刊>Analytica chimica acta >Multi-targeted interference-free determination of ten P-blockers in human urine and plasma samples by alternating trilinear decomposition algorithm-assisted liquid chromatography-mass spectrometry in full scan mode: Comparison with multiple reaction monitoring
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Multi-targeted interference-free determination of ten P-blockers in human urine and plasma samples by alternating trilinear decomposition algorithm-assisted liquid chromatography-mass spectrometry in full scan mode: Comparison with multiple reaction monitoring

机译：全扫描模式下交替三线性分解算法辅助液相色谱-质谱联用多目标无干扰测定人尿和血浆中的十种P受体阻滞剂：与多反应监测相比较

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摘要

β-blockers are the first-line therapeutic agents for treating cardiovascular diseases and also a class of prohibited substances in athletic competitions. In this work, a smart strategy that combines three-way liquid chromatography-mass spectrometry (LC-MS) data with second-order calibration method based on alternating trilinear decomposition (ATLD) algorithm was developed for simultaneous determination of ten β-blockers in human urine and plasma samples. This flexible strategy proved to be a useful tool to solve the problems of overlapped peaks and uncalibrated interferences encountered in quantitative LC-MS, and made the multi-targeted interference-free qualitative and quantitative analysis of β-blockers in complex matrices possible. The limits of detection were in the range of 2.0 x 10~(-5)~6.2 x 10~(-3) μg mL~(-1), and the average recoveries were between 90 and 110% with standard deviations and average relative prediction errors less than 10%, indicating that the strategy could provide satisfactory prediction results for ten β-blockers in human urine and plasma samples only using liquid chromatography hyphenated single-quadrupole mass spectrometer in full scan mode. To further confirm the feasibility and reliability of the proposed method, the same batch samples were analyzed by multiple reaction monitoring (MRM) method. T-test demonstrated that there are no significant differences between the prediction results of the two methods. Considering the advantages of fast, low-cost, high sensitivity, and no need of complicated chromatographic and tandem mass spectrometric conditions optimization, the proposed strategy is expected to be extended as an attractive alternative method to quantify analyte(s) of interest in complex systems such as cells, biological fluids, food, environment, pharmaceuticals and other complex samples.
机译：β受体阻滞剂是治疗心血管疾病的一线治疗剂，也是体育比赛中的一类禁用物质。在这项工作中，开发了一种智能策略，该策略将三效液相色谱-质谱（LC-MS）数据与基于交替三线性分解（ATLD）算法的二阶校准方法相结合，用于同时测定人体中的十种β-受体阻滞剂尿液和血浆样本。这种灵活的策略被证明是解决定量LC-MS中遇到的峰重叠和未校正干扰问题的有用工具，并使复杂基质中β受体阻滞剂的多目标无干扰定性和定量分析成为可能。检测限在2.0 x 10〜（-5）〜6.2 x 10〜（-3）μgmL〜（-1）范围内，平均回收率在90％至110％之间，并具有标准偏差和平均相对预测误差小于10％，表明该策略仅在全扫描模式下使用液相色谱联用单四极杆质谱仪才能对人尿液和血浆样品中的十种β受体阻滞剂提供令人满意的预测结果。为了进一步证实该方法的可行性和可靠性，使用多反应监测（MRM）方法分析了相同批次的样品。 T检验表明两种方法的预测结果之间无显着差异。考虑到快速，低成本，高灵敏度的优点，并且不需要复杂的色谱和串联质谱条件优化，该方法有望作为一种有吸引力的替代方法进行扩展，以量化复杂系统中感兴趣的分析物例如细胞，生物液体，食品，环境，药品和其他复杂样品。

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