Enhancing Quantitative Analysis of Xenobiotics in Blood Plasma through Cross-Matrix Calibration and Bayesian Hierarchical Modeling

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Nipunika H. Godage, Song S. Qian, Erasmus Cudjoe and Emanuela Gionfriddo*, 
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引用次数: 0

Abstract

This study addresses the challenges of matrix effects and interspecies plasma protein binding (PPB) on measurement variability during method validation across diverse plasma types (human, rat, rabbit, and bovine). Accurate measurements of small molecules in plasma samples often require matrix-matched calibration approaches with the use of specific plasma types, which may have limited availability or affordability. To mitigate the costs associated with human plasma measurements, we explore in this work the potential of cross-matrix-matched calibration using Bayesian hierarchical modeling (BHM) to correct for matrix effects associated with PPB. We initially developed a targeted quantitative approach utilizing biocompatible solid-phase microextraction coupled with liquid chromatography–mass spectrometry for xenobiotic analysis in plasma. The method was evaluated for absolute matrix effects across human, bovine, rat, and rabbit plasma comparing pre- and postmatrix extraction standards. Absolute matrix effects from 96 to 108% for most analytes across plasma sources indicate that the biocompatibility of the extraction phase minimizes interference coextraction. However, the extent of PPB in different media can still affect the accuracy of the measurement when the extraction of small molecules is carried out via free concentration, as in the case of microextraction techniques. In fact, while matrix-matched calibration revealed high accuracy, cross-matrix calibration (e.g., using a calibration curve generated from bovine plasma) proved inadequate for precise measurements in human plasma. A BHM was used to calculate correction factors for each analyte within each plasma type, successfully mitigating the measurement bias resulting from diverse calibration curve types used to quantify human plasma samples. This work contributes to the development of cost-effective, efficient calibration strategies for biofluids. Leveraging easily accessible plasma sources, like bovine plasma, for method optimization and validation prior to analyzing costly plasma (e.g., human plasma) holds substantial advantages applicable to biomonitoring and pharmacokinetic studies.

Abstract Image

Abstract Image

通过交叉矩阵校准和贝叶斯层次模型加强血浆中异种抗生素的定量分析
本研究解决了基质效应和种间血浆蛋白结合(PPB)在不同血浆类型(人、大鼠、兔和牛)的方法验证过程中测量变异性的挑战。准确测量等离子体样品中的小分子通常需要使用特定等离子体类型的基质匹配校准方法,这可能是有限的可用性或负担得起的。为了降低与人体血浆测量相关的成本,我们在这项工作中探索了使用贝叶斯分层建模(BHM)的交叉矩阵匹配校准的潜力,以纠正与PPB相关的矩阵效应。我们最初开发了一种有针对性的定量方法,利用生物相容性固相微萃取结合液相色谱-质谱法对血浆中的异种生物进行分析。通过比较基质提取前后的标准,评估了该方法在人、牛、大鼠和兔血浆中的绝对基质效应。对于大多数等离子体源的分析物,绝对基质效应从96%到108%表明萃取相的生物相容性使干扰共萃取最小化。然而,在微萃取技术中,当通过自由浓度提取小分子时,不同介质中PPB的程度仍然会影响测量的准确性。事实上,虽然矩阵匹配校准显示出很高的准确性,但交叉矩阵校准(例如,使用牛血浆生成的校准曲线)被证明不足以精确测量人血浆。BHM用于计算每种血浆类型中每种分析物的校正因子,成功减轻了用于定量人类血浆样品的不同校准曲线类型所导致的测量偏差。这项工作有助于开发成本效益高、效率高的生物流体校准策略。利用容易获得的血浆来源,如牛血浆,在分析昂贵的血浆(如人血浆)之前进行方法优化和验证,具有适用于生物监测和药代动力学研究的实质性优势。
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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